Lina Photo

Lina YaoLina Yao

CSIRO’s Data61
Analytics and Decision Sciences

Physical Location: 
Level 5, 13 Garden Street, Eveleigh, NSW 2015
Phone: 
+61 2 9385 6588
Email: 


Website: 
http://www.linayao.com/
Perseverance with an open and growth mind and a brave heart
知行合一

Selected Publications

Preprint

  1. Saurav Jha, Dong Gong and Lina Yao,  CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models   . (arXiv).

    2.                

  2. Huiyi Wang, Haodong Lu, Lina Yao and Dong Gong,  Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning  . (arXiv).

    3.  

  3. Xiaocong Chen, Siyu Wang, Tong Yu and Lina Yao, Uncertainty-aware Distributional Offline Reinforcement Learning . (arXiv).

  4. Xiangyu Zhang, Daijiao Liu, Hexin Liu, Qiquan Zhang, Hanyu Meng, Leibny Paola Garcia, Eng Siong Chng and Lina Yao, Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model . (arXiv).

  5. Enbo He, Yitong Hao, Yue Zhang, Guisheng Yin and Lina Yao, SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks . (arXiv).

  6. Siyu Wang, Xiaocong Chen and Lina Yao, Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems. (arXiv).

  7. Xuesong Wang, Kanhao Zhao, Lina Yao Gregory A Fonzo, Theodore D Satterthwaite, Islem Rekik, Yu Zhang， Delineating Transdiagnostic Subtypes in Neurodevelopmental Disorders via Contrastive Graph Machine Learning of Brain Connectivity Patterns. (arXiv).

  8. Yuzhe Zhang, Yipeng Zhang, Yidong Gan, Lina Yao and Chen Wang, Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models . (arXiv).

  9. Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao and Julian McAuley, Foundation Models for Recommender Systems: A Survey and New Perspectives . (arXiv).

  10. Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Tongliang Liu, Lina Yao and Kun Zhang, HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization . (arXiv).

  11. Yuanjiang Cao, Quan Z. Sheng, Julian McAuley and Lina Yao, Reinforcement Learning for Generative AI: A Survey. (arXiv).

  12. Xiaocong Chen, Siyu Wang, Julian McAuley, Dietmar Jannach and Lina Yao, On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. (arXiv).

  13. Yao Liu, Zesheng Ye, Binghao Li and Lina Yao, Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion. (arXiv).

  14. Jingcheng Li, Lina Yao, Binghao Li and Claude Sammutand, Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition. (arXiv).

  15. Zesheng Ye, Jing Du and Lina Yao, Adversarially Contrastive Estimation of Conditional Neural Processes. (arXiv).

  16. Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu and Kun Zhang, On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions. (arXiv).

  17. Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner and Lina Yao, The Neural Process Family: Survey, Applications and Perspectives. (arXiv).

Books

  1. Xiang Zhang and Lina Yao, Deep Learning for Brain Computer Interface: Representations, Algorithms and Applications . World Scientific Publishing Europe Ltd, United Kingdom, October 2021. Publisher's web page
  2. Quan Z. Sheng, Yongrui Qin, Lina Yao and Boualem Benatallah, Managing the Web of Things: Linking the Real World to the Web. Morgan Kaufmann, Elsevier, February 2017. Publisher's web page, Amazon US, Amazon Japan, Amazon UK.

Book Chapters

  1. Lina Yao, Chapter of DBSCAN: Density Based Spatial Clustering of Applications with Noise,IEEE Computational Intelligence Society Open Book Introduction to Computational Intelligence, An IEEE Computational Intelligence Society Open Book.

  2. Shuai Zhang, Aston Zhang, Lina Yao. Recommender Systems. Handbook of Machine Learning for Data Science, The 3rd edition of the the Data Mining and Knowledge Discovery Handbook. pp. 637-658, Springer 2023.

  3. Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun and Ce Zhang. Deep Learning for Recommender Systemss. The 3rd edition of the Recommender Systems Handbook, Springer, pp.173-210, 2021.

  4. Shuai Zhang, Lina Yao, Aixin Sun, Guibing Guo, Xiwei Xu, Liming Zhu. Deep Neural Networks meet Recommender Systems. Big Data Recommender Systems - Volume 2: Application Paradigms, Institution of Engineering and Technology, 2019.

  5. Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Xue Li, Boualem Benatallah, Xianzhi Wang. Building Entity Graphs for the Web of Things Management. Managing the Web of Things: Linking the Real World to the Web (, Feburary 2017.

Refereed Journal Articles

  1. Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammet and Lina Yao, Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction ，IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024 (to appear).

  2. Jiwei Huang, Bowen Ma, Ming Wang, Xiaokang Zhou, Lina Yao,, Shoujin Wang, Lianyong Qi, Ying Chen,  Incentive Mechanism Design of Federated Learning for Recommendation Systems in Mobile Edge Computing，IEEE Transactions on Consumer Electronics  (IEEE TCE), 2024 (to appear).

  3. Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu and  Abdulmotaleb El Saddik,  Simple Primitives with Feasibility and Contextuality-Dependence for Open-World Compositional Zero-shot Learning，IEEE Transactions on Pattern Analysis and Machine Intelligence  (IEEE TPAMI), 2023 (to appear).

  4. Siyu Wang, Xiaocong Chen, Julian McAuley, Sally Cripps and Lina Yao, Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).

  5. Zesheng Ye, Lina Yao, Yu Zhang and Sylvia Gustin, See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activities. Pattern Recognition (PR), 2023 (to appear).

  6. Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, and Xiaojun Chang, Zero-shot Camouflaged Object Detection ，IEEE Transactions on Image Processing (IEEE TIP), 2023 (to appear).

  7. Xiaocong Chen, Siyu Wang, Lianyong Qi, Yong Li and Lina Yao, Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation，World Wide Web (World Wide Web), 2023 (to appear).

  8. Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng and Xiaojun Chang, Guided Image-to-Image Translation by Discriminator-Generator Communication，IEEE Transactions on Multimedia (IEEE Transactions on Multimedia), 2023 (to appear).

  9. Raina Chandini MacIntyre, Xin Chen, Mohana Kunasekaran, Ashley Quigley, Samsung Lim, Helen Paik, Lina Yao, David Heslop and Wenzhao Wei, Artificial Intelligence in Public Health: the Potential of Epidemic Early Warning Systems，Journal of International Medical Research (Journal of International Medical Research), Volume 51, 2023.

  10. Zhihui Li, Pengfei Xu, Xiaojun Chang, Luyao Yang, Yuanyuan Zhang, Lina Yao and Xiaojiang Chen, When Object Detection Meets Knowledge Distillation: A Survey，IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 (to appear).

  11. Haowei Lou, Zesheng Ye, Lina Yao and Yu Zhang, Less is More: Brain Functional Connectivity Empowered Generalisable Intention Classification with Task-relevant Channel Selection，IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2023 (to appear).

  12. Can Li, Lei Bai, Wei Liu, Lina Yao, and Travis S Waller, A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications，Transportation B: Transport Dynamics, (Transportation B: Transport Dynamics）, 2023.

  13. Xiaocong Chen, Lina Yao, Julian McAuley, Guanglin Zhou, Xianzhi Wang A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions, Knowledge-based Systems (Knowledge-based Systems)), 2023 (to appear). (arXiv).

  14. Yun Li, Zhe Liu, Lina Yao, Molly Lucas, Jessica J.M.Monaghan and Yu Zhang, Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus, Journal of Biomedical and Health Informatics (JBHI), 2022 (to appear).

  15. Yunyi Zhu, Boyue Lian, Yuan Wang, Christopher Miller, Clare Bales, John Fletcher, Lina Yao, and T. David Waite, Machine learning modelling of a membrane capacitive deionization (MCDI) system for prediction of long-term system performance and optimization of process control parameters in remote brackish water desalination, Water Research (Water Research), 2022.

  16. En Xu, Zhiwen Yu, Zhuo Sun, Bin Guo and Lina Yao, Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 (to appear).

  17. Tianyu Zhang, Fethi Rabhi, Ali Behnaz, Xin Chen, Hye-young Paik, Lina Yao and Chandini Raina Maclntyre, Use of automated machine learning for an outbreak risk prediction tool, Informatics in Medicine Unlocked (IMU), 2022 (to appear).

  18. Yun Li, Zhe Liu, Xiaojun Chang, Julian McAuley and Lina Yao, Diversity-boosted Generalization-Specialization Balancing for Zero-shot. (IEEE Transactions on Multimedia) (to appear).

  19. Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-young Paik and Sen Wang, Uncertainty Estimation with Neural Processes for Meta-Continual Learning , IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2022 (to appear).

  20. Yang Xiao, Zhuolin Xiang, Alex X. Liu, Lei Bai, Qingqi Pei and Lina Yao, Cure-GNN: A Robust Curvature-Enhanced Graph Neural Network against Adversarial Attacks, IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), IEEE 2022.

  21. Timothy Pelech, Lina Yao and Serkan Saydam, Planning lunar In-Situ Resource Utilisation with a Reinforcement Learning Agent, Acta Astronautica (Acta Astronautica), Elsevier 2022.

  22. Zhe Liu, Yun Li, Lina Yao, Jessica J.M.Monaghan, David McAlpine, Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis, IEEE Transactions on Neural Systems and Rehabilitation Engineering (IEEE TNSRE), 2022 (to appear).

  23. Lingling Zhang , Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann. TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection , IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022 (to appear).

  24. Yao Liu, Lina Yao, Binghao Li, Xiaojun Chang and Claude Sammut, Interpolation Graph Convolutional Network for 3D Point Cloud Analysis, International Journal of Intelligent Systems (IJIS), 2022 (to appear).

  25. Zhe Liu, Yun Li, Lina Yao, Julian McAuley and Sam Dixon. Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning , IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2022 (to appear).

  26. Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang and Quan Z. Sheng, Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. Frontiers in Big Data (arXiv).

  27. Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, and Quan Z. Sheng, Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. (IEEE Transactions on Data Engineering) (to appear).

  28. Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang and Xianzhi Wang, Generative Adversarial U-Net for Domain-free Medical Image Augmentation. (Pattern Recognition Letters). (to appear).

  29. Manqing, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu and Liming Zhu. Survey for Trust-aware Recommender Systems: A Deep Learning Perspective, Knowledge-based Systems (Knowledge-based Systems)), 2022 (to appear)

  30. Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian McAuley and Xiaojun Chang, An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning, (IEEE Transactions on Circuits and Systems for Video Technology) (to appear).

  31. Yun Li, Zhe Liu, Lina Yao and Xiaojun Chang, An Attribute-Modulated Generative Meta Learning for Generalized Zero-Shot Learning. (IEEE Transactions on Multimedia) (to appear).

  32. Chaoran Huang, Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Zhongjie Wang and Xiaofei Xu, Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence，Internet Computing, (Internet Computing), 2021 (to appear).

  33. Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benattalah, Shuai Zhang and Quan Z. Sheng. Gradient Boosted Neural Decision Forest，IEEE Transactions on Service Computing (IEEE TSC), 2021.

  34. Syed W. Shah, Salil S. Kanhere, Jin Zhang, and Lina Yao, VID: Human identification through vein patterns captured from commodity depth cameras, The Institution of Engineering and Technology, ( IET), 2021 (to appear).

  35. Zhe Liu, Xianzhi Wang, Yun Li, Lina Yao, Lei Bai and Ee-Peng Lim. Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding, Knowledge-based Systems (Knowledge-based Systems)), 2021.

  36. Nuo Li, Bin Guo, Yan Liu, Lina Yao, Jiaqi Liu and Zhiwen Yu, AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation，World Wide Web, ( World Wide Web), 2021 (to appear).

  37. Can Li, Lei Bai, Wei Liu, Lina Yao, and Travis S Waller, A Multi-Task Memory Network with Knowledge Adaptation for Multimodal Demand Forecasting  ，Transportation Research Part C, (Transportation Research Part C）, 2021 (to appear).

  38. Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah, Azadeh Ghar-Neiat, Sajib Mistry, Aditya Ghose, Surya Nepal, and Lina Yao, An Internet of Things Service Roadmap，Communications of the ACM, (CACM), 2021 (to appear).

  39. Zhe Liu, Lina Yao, Xianzhi Wang, Jessica Monaghan, Roland Schaette, Zihuai He, and David McAlpine, Generalizable Sample-efficient Siamese Autoencoder for Hidden Hearing Loss Diagnosis in Listeners with Subjective Tinnitus，IEEE Transactions on Neural Systems and Rehabilitation Engineering (IEEE TNSRE), 2021 (to appear).

  40. Dalin Zhang, Lina Yao, Kaixuan Chen, Zheng Yang and Yunhao Liu. Preventing Sensitive Information Leakage from Mobile Sensor Signals via Integrative Transformation. IEEE Transactions on Mobile Computing (TMC) , 2021 (to appear).

  41. May Altulyan, Lina Yao, Chaoran Huang, Salil. S. Kanhere and Quan Z. Sheng. Recommender Systems for the Internet of Things: A Survey, The Computer Journal (The Computer Journal (to appear)).

  42. Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu and Yunhao Liu. Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities. ACM Computing Surveys (ACM Computing Surveys (to appear)).

  43. Shaoyang Hao, Bin Guo, Hao Wang, Yunji Wang, Lina Yao, Qianru Wang and Zhiwen Yu, DeepDepict: Enabling Information Rich, Personalized Product Description Generation with the Deep Multiple Pointer Generator Network, ACM Transactions on Knowledge Discovery in Data (ACM TKDD) (to appear).

  44. Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu and Liming Zhu. Adversarial Dual Autoencoders for Trust-aware Recommendation, Neural Computing and Applications (NCAA) (to appear).

  45. Tao Ye, Can Wang, Lina Yao, Weimin Li and Yonghong Yu. Item Trend Learning for Sequential Recommendation System Using Gated Graph Neural Network, Neural Computing and Applications (NCAA) (to appear).

  46. Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang and Feiping Nie. Agglomerative Neural Networks for Multi-view Clustering , IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 (to appear).

  47. Can Li, Lei Bai, Wei Liu, Lina Yao, and Travis S Waller. Urban Mobility Analytics: A Deep Spatial-Temporal Product Neural Network for Traveler Attributes Inference , Transportation Research Part C: Emerging Technologies (Transportation Research Part C), 2020 (to appear).

  48. Can Li, Lei Bai, Wei Liu, Lina Yao, and Travis S Waller. Graph Neural Network for Robust Public Transit Demand Prediction, IEEE Transactions on Intelligent Transportation Systems (IEEE TITS) (to appear).

  49. Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong and Yu Zhang. Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images, Pattern Recognition (Pattern Recognition) (to appear).

  50. Yong Jiao, Tao Zhou, Lina Yao, Guoxu Zhou, Xing Wang and Yu Zhang, Multi-view Multi-scale Optimization of Feature Representation for EEG Classification Improvement，IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2020 (to appear).

  51. Huan Liu, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan and Lina Yao, Memory Transformation Networks for Weakly Supervised Visual Classification, Knowledge-Based Systems (Knowledge-Based Systems), 2020 (to appear).

  52. Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David Malphine and Yu Zhang. A Survey on Deep Learning-based Non-Invasive Brain Signals: Recent Advances and New Frontiers. Journal of Neural Engineering (JNE) , 2020 (to appear).

  53. Jing Chu, Xu Wang, Kun Qian, Lina Yao, Fu Xiao, Jianbo Li and Zheng Yang. Passenger Demand Prediction with Cellular Footprints. IEEE Transactions on Mobile Computing (TMC) , 2020 (to appear).

  54. Yang Xiao, Lina Yao, Qingqi Pei, Xianzhi Wang, Jian Yang and Quan Z. Sheng, MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation. IEEE Intelligent Systems ( IEEE Intelligent Systems. 2020. (to appear)

  55. Bin Guo, Yasan Ding, Lina Yao, Yunji Liang and Zhiwen Yu, The Future of Misinformation Detection: New Perspectives and Trends，ACM Computing Surveys (CUSR) , 2020(to appear).

  56. Xiang Zhang, Lina Yao, Chaoran Huang, Tao Gu, Zheng Yang and Yunhao Liu. DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves. ACM Transactions on Intelligent Systems and Technology (TIST) 2020. (to appear)

  57. Yuxin Zhang, Pari Delir Haghighi, Frada Burstein, Lim Wei Yap, Wenlong Cheng, Lina Yao, Flavia Cicuttini. Electronic Skin Wearable Sensors for Detecting Lumbar-Pelvic Movements. Sensors (Sensors),2020

  58. Yang Xiao, Qingqi Pei, Lina Yao and Xianzhi Wang, RecRisk: An Enhanced Recommendation Model with Multi-facet Risk Control. Expert Systems with Applications (Expert Systems with Applications), 2020

  59. Sin Kuang Lo, Xiwei Xu, Mark Staples and Lina Yao. Reliability Analysis for Blockchain Oracles. Computers and Electrical Engineering (Computers and Electrical Engineering),2020

  60. Yang Xiao, Qingqi Pei, Lina Yao, Shui Yu, Lei Bai and Xianzhi Wang, An Enhanced Probabilistic Fairness-Aware Group Recommendation byIncorporating Social Activeness. Journal of Network and Computer Applications (JNCA), 2020 (to appear).

  61. Xiang Zhang, Lina Yao，Manqing Dong, Zhe Liu, Yu Zhang and Yong Liu, Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection，Journal of Biomedical and Health Informatics (JBHI), 2020 (to appear).

  62. Huan Liu, Lina Yao, Qinghua Zheng, Minnan Luo, Hongke Zhao and Yanzhang Lyu, Dual-Stream Generative Adversarial Networks for Distributionally Robust Zero-Shot Learning，Information Science (Information Science), 2020 (to appear).

  63. Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, and Bo Wei, A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification. Ad Hoc Networks (Ad Hoc Networks), 2020.

  64. Dalin Zhang, Kaixuan Chen, Debao Jian and Lina Yao， Motor Imagery Classification via TemporalAttention Cues of Graph Embedded EEG Signals，Journal of Biomedical and Health Informatics (JBHI), 2020 (to appear).

  65. Chen Gao, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, and Depeng Jin. Learning to Recommend with Multiple Cascading Behaviors. IEEE Transactions on Knowledge Discovery and Engineering (TKDE),2019 （to appear）.

  66. Shuai Zhang, Lina Yao, Bin Wu, Xiwei Xu, Xiang Zhang and Liming Zhu， Unraveling Metric Vector Spaces withFactorization for Recommendation，IEEE Transactions on Industrial Informatics (TII), 2019 (to appear).

  67. Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Pari.Delir.Haghighi and Caley Sullivan Graph-based Hierarchical Attention Networks for Movement Intention Detection from EEG Signals，IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2019 (to appear).

  68. Weitong Chen, Guodong Long, Lina Yao and Quan Z. Sheng, AMRNN: Attended Multi-task Recurrent Neural Networks for Dynamic Illness Severity Prediction. World Wide Web Journal (WWWJ) , 2019.

  69. Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang and Feiping Nie, A Semi-supervised Recurrent Convolutional Attention Model for Human Activity Recognition，IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 (to appear).

  70. Guangwu Chen, Yuhan Zhu, Thomas Wiedmann, Lina Yao, Lixiao Xu and Yafei Wang, Urban-rural disparities of household energy requirements and influence factors in China: Classification tree models，Applied Energy (Applied Energy), 2019 (to appear).

  71. Bin Guo, Yan Liu, Nuo Li, Jing Zhang, Jingmin Chen, Daqing Zhang, Yinxiao Liu, Zhiwen Yu, Sizhe Zhang and Lina Yao, DeepStore: An Interaction-aware Wide&Deep Model for Store Site Recommendation with Attentional Spatial Embeddings，IEEE Internet of Things Journal (IEEE Internet of Things Journal), 2019 (to appear).

  72. Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar and Shuai Zhang. Thing-of-Interest Recommendation in the Internet of Things: Requirements, Challenges and Directions，IEEE Internet Computing (IEEE Internet Computing), 2019 (to appear).

  73. Dalin Zhang, Lina Yao, Kaixuan and Jessica Monaghan. A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis，IEEE Signal Processing Letters (SPL), 2019 (to appear).

  74. Dalin Zhang, Lina Yao, Kaixuan, Sen Wang, Xiaojun Chang, Yunhao Liu. Making Sense of Spatio-Temporal Preserving Representations for EEG-based Human Intention Recognition，IEEE Transactions on Cybernetics (TCYB), 2019 (to appear).

  75. Zhiwen Yu, En Xu, Du He, Bin Guo and Lina Yao. Inferring User Profile Attributes from Multi-dimensional Mobile Phone Sensory Data，IEEE Internet of Things Journal (IEEE Internet of Things Journal), 2019 (to appear).

  76. Lichuan Ma, Qingqi Pei, Yong Xiang, Lina Yao, and Shui Yu, A Reliable Reputation Computation Framework for Online Items in E-commerce. Journal of Network and Computer Applications (JNCA), 2019 (to appear).

  77. Xiaodong Ning, Lina Yao, Boualem Benatallah, Yihong Zhang, Salil. S. Kanhere and Quan Z. Sheng, Source-aware Crisis-relevant Tweet Identification and Key Information Summarization. ACM Transactions on Internet Technology (TOIT), 2019 (to appear).

  78. Zhihui Li, Lina Yao, Xiaojun Chang, Kun Zhan, Jiande Sun and Huaxiang Zhang. Zero-shot Event Detection via Event-Adaptive Concept Relevance Mining. Pattern Recognition (PR), 2018 (to appear).

  79. Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Quan Z. Sheng, Yunhao Liu. Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity，IEEE Internet of Things Journal (IEEE Internet of Things Journal), 2018 (to appear).

  80. Shuai Zhang, Lina Yao, Aixin Sun, and Yi Tay. . Deep Learning based Recommender System: A Survey and New Perspectives，ACM Computing Surveys (CUSR) , 2018 (to appear).

  81. Tran Khoi Nguyen, Quan Z. Sheng, M. Ali Babar, Lina Yao, Wei Emma Zhang, Schahram Dustdar. Internet of Things Search Engine: Concepts, classification, and open issues. Communications of the ACM (CACM), 2018 (to appear).

  82. Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang. Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network. Pattern Recognition Letters (PRL), 2018 (to appear).

  83. Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong and Shuai Zhang. Rating Prediction via Generative Convolutional Neural Networks based Regression. Pattern Recognition Letters (PRL), 2018 (to appear).

  84. Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang and Xiaodong Ning. Opinion Fraud Detection via Neural Autoencoder Decision Forest. Pattern Recognition Letters (PRL), 2018 (to appear).

  85. Xianzhi Wang,Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong. A Survey on Expert Recommendation in Community Question Answering. Journal of Computer Science and Technology (JCST) 2018 (to appear).

  86. Zhichao Zhang, Yuan Zhang, Lina Yao, Houbing Song and Anton Kos. A Sensor-Based Wrist Pulse Signal Processing and Lung Cancer Recognition. Journal of Biomedical Informatics (JBI) Volume 79, March 2018

  87. Lina Yao, Xianzhi Wang, Quan Z. Sheng, Boualem Benatallah and Chaoran Huang. Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations. IEEE Transactions on Services Computing (TSC) 2018. (to appear)

  88. Lina Yao, Quan Z. Sheng, Boualem Benatallah, Schahram Dustdar, Xianzhi Wang, Ali Shemshadi, and Salil Kanhere. WITS: An IoT-endowed Computational Framework for Activity Recognition in Personalized Smart Homes. Computing, Springer (Computing) , 2018 (to appear).

  89. Wenjie Ruan, Quan Z. Sheng, Lina Yao, Xue Li, Nick Falkner and Lei Yang, Device-free Human Localization and Tracking with UHF Passive RFID Tags: A Data-driven Approach. Journal of Network and Computer Applications (JNCA), 2018 (to appear).

  90. Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Kerry Taylor, Ali Shemshadi, and Yongrui Qin, A Learning Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases. ACM Transactions on Internet Technology (TOIT), 2017 (to appear).

  91. Wei Emma Zhang, Quan Z. Sheng, Yongrui Qian, Kerry Taylor, and Lina Yao. Learning-based SPARQL Query Performance Modeling and Prediction. World Wide Web Journal (WWWJ) , 2017 (to appear).

  92. Lina Yao, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang and Yongrui Qin. Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information. ACM Transactions on Internet Technology (TOIT), 2017 (to appear).

  93. Nguyen Khoi Tran, Quan Z. Sheng, M. Ali Babar, and Lina Yao. Searching the Web of Things: State of the Art, Challenges and Solutions，ACM Computing Surveys (CUSR) , 2017 (to appear).

  94. Lina Yao, Quan Z. Sheng, Xue Li, Tao Gu, Mingkui Tan, Xianzhi Wang, Sen Wang and Wenjie Ruan. Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength. IEEE Transactions on Mobile Computing (TMC) , 2017 (to appear).

  95. Lina Yao, Quan Z. Sheng, Xianzhi Wang, Shengrui Wang, Xue Li and Sen Wang. Collaborative Text Categorization via Exploiting Sparse Coefficients. World Wide Web Journal (WWWJ) , 2017 (to appear).

  96. Sen Wang, Xue Li, Xiaojun Chang, Lina Yao, Quan Z. Sheng and Guodong Long, Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining. ACM Transactions on Knowledge Discovery (TKDD) Vol 11, No 3, 2017.

  97. Xianzhi Wang, Xiaofei Xu, Zhongjie Wang, Quan Z. Sheng, and Lina Yao. Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection. IEEE Transactions on Services Computing (TSC) 2017. (to appear)

  98. Lina Yao, Quan Z. Sheng, Anne. H. H. Ngu, Xue Li and Boualem Benatallah. Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things. ACM Transactions on Intelligent Systems and Technology (TIST) 2017. (to appear)

  99. Ali Shemshadi, Quan Z. Sheng, Wei Emma Zhang, Aixin Sun, Yongrui Qin, and Lina Yao. Searching for the Internet of Things on the Web: Where It Is and What It Looks Like. Personal and Ubiquitous Computing (PUC), 2017 (to appear).

  100. Sen Wang, Xiaojun Chang, Xue Li, Guodong Long, Lina Yao, and Quan Z. Sheng. Diagnosis Code Assignment Using Sparsity-based Disease Correlation Embedding. IEEE Transactions on Knowledge Discovery and Engineering (TKDE), Vol 28, No 12, pp 3191-3202, 2016.

  101. Lina Yao, Quan Z. Sheng, Anne. H. H. Ngu and Xue Li. Things of Interest Recommendation by Leveraging Heterogeneous Relations in Internet of Things. ACM Transactions on Internet Technology (TOIT), Vol 16, No 2, p9, 2016.

  102. Yongrui Qin, Quan Z. Sheng, Nicolas Falkner, Lina Yao, Simon Parkinson. Efficient Computation of Distance Labeling for Decremental Updates in Large Dynamic Graphs. World Wide Web Journal (WWWJ) , 2016.

  103. Talal H. Noor, Quan Z. Sheng, Lina Yao, Schahram Dustdar and Anne. H. H. Ngu. CloudArmor: Supporting Reputation-based Trust Management for Cloud Services. IEEE Transactions on Parallel and Distributed Systems (TPDS) , Vol 27, No 2, pp 367-380, 2016.

  104. Lina Yao, Quan Z. Sheng, Anne. H. H. Ngu, Byron Gao, Xue Li and Sen Wang. Multi-Label Classification via Learning a Unified Object-Label Graph with Sparse Representation. World Wide Web Journal (WWWJ) , pp 1 -25, 2015.

  105. Lina Yao, Quan Z. Sheng and Schahram Dustdar. Web-based Management of the Internet of Things. IEEE Internet Computing (IEEE Internet Computing) ,Vol 19, No 4, pp 60-67, July/August, 2015.

  106. Rui Zeng, Quan Z. Sheng and Lina Yao. A Simulation Method for Effective Social Network Analysis. Social Network Analysis and Mining (SNAM) , Springer, Vol 5, No 1, 2015.

  107. Lina Yao, Quan Z. Sheng, Anne.H.H.Ngu, Jian Yu, and Aviv Segev. Unified Collaborative and Content-Based Web Service Recommendation. IEEE Transactions on Services Computing (TSC) , Vol 8, No 3, pp 453-466, 2015.

  108. Quan Z. Sheng, Zakaria Maamar, Lina Yao, Claudia Szabo, and Scott Bourne. Behavior Modeling and Automated Verification of Web Services. Information Sciences, Vol 258, pp 416-433, 2014.

  109. Zakaria Maamar, Nora Faci, K. Boukadi, Quan Z. Sheng, Lina Yao.Commitments to Regulate Social Web Services Operation. IEEE Transactions on Services Computing (TSC ),Vol 7, No 2, pp 154-167, 2014.

  110. Lina Yao, Quan Z. Sheng, and Zakaria Maamar. Achieving High Availability of Web Services Based on a Particle Filtering Approach. International Journal of Next-Generation Computing, 2012.

  111. H. Yahyaoui, A. Mourad, M. Almullah, Lina Yao, and Quan Z. Sheng. A Synergy Between Context-Aware Policies and AOP to Achieve Highly Adaptable Web Services. Service Oriented Computing and Applications (SOCA 2012), Springer, 2012.

Refereed Conference Papers

  1. Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu and Lina Yao, Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR 2024), Washington D.C., USA, July 14-18, 2024

  2. Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, and Ricardo Henao, Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning，2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, (NAACL), Mexico City, Mexico , June 16–21, 2024

  3. Yun Li, Zhe Liu, Hang Chen and Lina Yao,  Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning，The 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle USA, June 17 - 21, 2024

  4. Hongtao Huang, Xiaojun Chang, Wen Hu and Lina Yao,  MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment ，ACM Web Conference (WebConf), Singapore, May 13 - 17, 2024

  5. Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo and Qinghua Zheng, Masked Distillation Advances Self-Supervised Transformer Architecture Search . The 12nd International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7 - May 11 2024

  6. Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao and Kristen Moore, Learning with Mixture of Prototypes for Out-of-Distribution Detection. The 12nd International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7 - May 11 2024

  7. Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman Khan, Lina Yao , Tongliang Liu and Kun Zhang , Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning，The ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models ( ME-FoMo), Vienna, Austria , May 11, 2024

  8. Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie,Lina Yao and Shuai Li,  Exploring Soft Prompt Initialization Strategy for Few-shot Continual Text Classification .  2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), Seoul, Korea, Apirl 14 - 19, 2024

    9.  

  9. Xinshu Li and Lina Yao, Distribution-conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation . The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver Canada February 20 - 27, 2024

  10. Qiuyun Zhang, Bin Guo, Lina Yao, Hao Wang, Xiaotian Qiao, Ying Zhang and Zhiwen Yu, Design Graph Guided Element Importance-aware Layout generation with Multi-modality Cascade Transformer. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver Canada February 20 - 27, 2024

  11. Saurav Jha, Dong Gong, He Zhao and Lina Yao, NPCL: Neural Processes for Uncertainty-Aware Continual Learning. 2023 Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA, December 10 - December 16, 2023

  12. Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang and Bohan Zhuang Mask Propagation for Efficient Video Semantic Segmentation . 2023 Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA, December 10 - December 16, 2023

  13. Jing Du, Zesheng Ye, Bin Guo, Zhiwe Yu and Lina Yao, Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation . The 23rd IEEE International Conference on Data Mining (ICDM 2023), Shanghai, China, December 1 - December 4, 2023

  14. Shiyi Yang, Chen Wang, Xiwei Xu, Liming Zhu and Lina Yao, Poisoning Recommender Systems with Model-Agnostic Profile Injection Attacks . The 23rd IEEE International Conference on Data Mining (ICDM 2023), Shanghai, China, December 1 - December 4, 2023

  15. Yao Liu, Binghao Li, Claude Summet and Lina Yao, Multi-level Attention Network with Weather Suppression for All-weather Action Detection in UAV Rescue Scenarios  .  The 2023 International Conference on Neural Information Processing  (ICONIP 2023), Changsha, China, November 20 - November 23 2023

    16.    

  16. Qiuyun Zhang, Bin Guo, Lina Yao, Han Wang, Ying Zhang and Zhiwen Yu, ALDA: An Adaptive Layout Design Assistant for Diverse Posters Throughout the Design Process . The 2023 ACM Multimedia (ACM MM 2023), Ottawa, ON, Canada October 29–November 3, 2023

  17. Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu and Lina Yao, Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems . The 32nd ACM International Conference on Information and Knowledge Management(CIKM 2023), University of Birmingham and Eastside Rooms, UK, 21 October - 25 October 2023

  18. Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang and Lina Yao, NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. The 32nd ACM International Conference on Information and Knowledge Management(CIKM 2023), University of Birmingham and Eastside Rooms, UK, 21 October - 25 October 2023

  19. Yun Li, Zhe Liu, Saurav Jha, Sally Cripps and Lina Yao, Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. The 2023 International Conferences on Computer Vision (ICCV-23), Paris France, October 2 - 6 2023

  20. Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang and Yu Qiao, HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation.The 2023 International Conferences on Computer Vision (ICCV-23), Paris France, October 2 - 6 2023

  21. Xiaoxin Ye, Yun Li and Lina Yao, DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender. The 17th ACM Recommender Systems Conference (RecSys 2023), Singapore Sept. 18 - 22 2023

  22. Siyu Wang, Xiaocong Chen, Dietmar Jannach and Lina Yao, Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR 2023), Taiwan July 23-27

  23. Chengkai Huang, Shoujin Wang, Xianzhi Wang and Lina Yao, Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR 2023), Taiwan July 23-27

  24. Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang and Lina Yao, Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR 2023), Taiwan July 23-27

  25. Yihong Zhang, Takahiro Hara and Lina Yao, Biased or Debiased: Polarization-Aware Embedding Learning from Social Media Knowledge Graph. The International Joint Conference on Neural Networks(IJCNN 2023), Gold Coast Convention and Exhibition Centre Queensland, Australia June 18-23

  26. Chengkai Huang, Shoujin Wang, Xianzhi Wang and Lina Yao, Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. The ACM Web Conference(TheWebConf 2023), Austin, Texas USA Apr. 30 - May 4 2023

  27. Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao and Yong Li, PateGail: A Federated Mobility Trajectory Generator with Imitation Learning. The 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA Feb. 7-14 2023

  28. Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu and Lina Yao, Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation. The 16th ACM International Conference on Web Search and Data Mining (WSDM 2023), Singapore Feb. 27 - Mar. 3 2023

  29. Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian McAuley and Guandong Xu, Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. The 16th ACM International Conference on Web Search and Data Mining (WSDM 2023), Singapore Feb. 27 - Mar. 3 2023

  30. Xinshu Li and Lina Yao, Contrastive Individual Treatment Effects Estimation. The 22nd IEEE International Conference on Data Mining (ICDM 2022), Orlando, FL, USA Nov. 28 - Dec. 1 2022

  31. Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang and Yong Li, Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. The 22nd IEEE International Conference on Data Mining (ICDM 2022), Orlando, FL, USA Nov. 28 - Dec. 1 2022

  32. Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, and Claude Sammut, Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. The 31st ACM International Conference on Information and Knowledge Management （ CIKM 2022）, Atlanta, Georgia USA 2022

  33. Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, and Claude Sammut, Multi-agent Transformer Networks for Multi-modal Human Activity Recognition. The 31st ACM International Conference on Information and Knowledge Management （ CIKM 2022）, Atlanta, Georgia USA 2022

  34. Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu and Ee-Peng Lim,Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. The 23rd International Conference on Web Information Systems Engineering (WISE 2022), 31 Oct - 3 Nov, Biarritz, France 2022.

  35. Le Pan, Lina Yao, Wenjie Zhang and Xianzhi Wang,Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning. The 23rd International Conference on Web Information Systems Engineering (WISE 2022), 31 Oct - 3 Nov, Biarritz, France 2022

  36. Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang, Contrastive Graph Learning for Population-based fMRI Classification. The 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Sept. 18-22, Singapore, 2022

  37. Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Zhong Yang, Farookh Hussain and Ee-Peng Lim Harnessing Confidence for Report Aggregation in Crowdsourcing Envrionments. The IEEE International Conference on Services Computing (SCC 2022), July 11 - 15, 18-22, Barcelona, Spain, 2022 (Best Paper Award)

  38. Xiaocong Chen, Lina Yao, Julian McAuley, Weili Guan, Xiaojun Chang and Xianzhi Wang, Locality-Sensitive State-Guided Experience Replay Optimization for Sparse-Reward in Online Recommendation. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), July 11-15, New Madrid, Spain, 2022

  39. Jing Du, Zesheng Ye, Lina Yao, Bin Guo and Zhiwen Yu, Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), July 11-15, New Madrid, Spain, 2022

  40. Jing Du, Lina Yao, Xianzhi Wang, Bin Guo and Zhiwen Yu, Hierarchical Task-aware Multi-Head Attention Network. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), July 11-15, New Madrid, Spain, 2022

  41. Nuo Li, Bin Guo, Yan Liu, Yasan Ding, En Xu, Lina Yao, Zhiwen Yu, Transfer How Much: A Fine-Grained Measure of the Knowledge Transferability of User Behavior Sequences in Social Network. 2022 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), Sept 19-23, Grenoble, France, 2022

  42. Zesheng Ye and Lina Yao, Contrastive Conditional Neural Processes. 2022 Conference on Computer Vision and Pattern Recognition (CVPR 2022), June 19-24, New Orleans, USA, 2022

  43. Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang and Yu Qiao Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. 2022 Conference on Computer Vision and Pattern Recognition (CVPR 2022), June 19-24, New Orleans, USA, 2022

  44. Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang and Guandong Xu, Attentional Gated Res2Net for Multivariate Time Series Classification. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Singapore, 22 - 27 May 2022.

  45. Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang and Liming Zhu, Cycle-Balanced Representation Learning For Counterfactual Inference. SIAM International Conference on Data Mining 2022(SDM 2022), Alexandria, Virginia, U.S. April 28 - 30 2022.

  46. Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-young Paik, and Sen Wang, Global Convolutional Neural Processes. The 21st IEEE International Conference on Data Mining (ICDM 2021), Auckland, New Zealand December 7 - 10 2021 (Best Paper Candidate)

  47. Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, and Liming Zhu, MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. The 21st IEEE International Conference on Data Mining (ICDM 2021), Auckland, New Zealand December 7 - 10 2021.

  48. Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Xiwei Xu and Liming Zhu. Generative Inverse Deep Reinforcement Learning for Online Recommendation. The 30th ACM International Conference on Information and Knowledge Management （ CIKM 2021）, Online, Nov. 1-5 2021 (Spotlight)

  49. Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie and Boualem Benatallah. NP-PROV: Neural Processes with Position-Relevant-Only Variances. The 22nd International conference on Web Information Systems Engineering (WISE), Melbourne Australia, Oct 26 - 29 2021

  50. Xiaocong Chen, Lina Yao and Yu Zhang. RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-net. The 22nd International conference on Web Information Systems Engineering (WISE), Melbourne Australia, Oct 26 - 29 2021

  51. Zhihui Li and Lina Yao.Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations, 2021 Conference on Computer Vision and Pattern Recognition (CVPR-21), Virtual Conference, Worldwide, June 19 - June 25, 2021

  52. Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang and Guodong Long.Task Aligned Generative Meta-learning for Zero-shot Learning, The 35th AAAI Conference on Artifical Intelligence (AAAI-21), Virtual Conference, Worldwide, February 2 - February 9, 2021

  53. Lei Bai, Lina Yao, Can Li, Xianzhi Wang and Can Wang, Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. Thirty-Fourth Annual Conference on Neural Information Processing Systems (NeurIPS 2020) (NeurIPS 2020), Vancouver Convention Center, Vancouver Canada, December 6 - 12, 2020.

  54. Chaoran Huang and Lina Yao, Active Object Estimation for Human-Robot Collaborative Tasks. Twenty-seventh Annual Conference on Neural Information Processing Systems (ICONIP 2020) (ICONIP 2020), Bangkok, Thailand, November 18-20, 2020.

  55. Yun Li, Zhe Liu, Lina Yao and Zihuai He, Non-local Self-attentive Autoencoder for Genetic Functionality Prediction. The 29th International Conference on Information and Knowledge Management, (CIKM 2020), Galway, Ireland, Oct. 19 -23, 2020.

  56. Feng Yuan, Lina Yao and Boualem Benatallah, Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering. The 29th International Conference on Information and Knowledge Management, (CIKM 2020), Galway, Ireland, Oct. 19 -23, 2020.

  57. Can Li, Lei Bai, Wei Liu, Lina Yao and Travis S Waller, Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. The 29th International Conference on Information and Knowledge Management, (CIKM 2020), Galway, Ireland, Oct. 19 -23, 2020.

  58. Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang and Can Wang. Spectrum-Guided Adversarial Disparity Learning. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020). Research Track. (KDD 2020), San Diego, CA, USA, August 23 - 27, 2020.

  59. Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu and Liming Zhu. MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020). Research Track. (KDD 2020), San Diego, CA, USA, August 23 - 27, 2020.

  60. Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge and Huaxiang Zhang. Grounding Visual Concepts for Multimedia Event Detection and Multimedia Event Captioning in Zero-shot Setting. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020). Research Track. (KDD 2020), San Diego, CA, USA, August 23 - 27, 2020.

  61. Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang and Wei Emma Zhang. Adversarial Attack and Detection on Reinforcement Learning based Recommendation System. The 43rd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020). (SIGIR 2020), Xi'an, China, July 25-30, 2020.

  62. Lei Bai, Lina Yao, Xianzhi Wang, Salil.S.Kanhere, Bin Guo and Zhiwen Yu, Adversarial Multi-view Networks for Activity Recognition. The 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing ( UbiComp 2020). Cancún, México, September 12-16, 2020.

  63. Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai and Jake An. Are You a Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK, July 19 - 24, 2020

  64. Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu and Wenjie Zhang. Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation, International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK, July 19 - 24, 2020

  65. Ye Tao, Can Wang, Lina Yao, Weimin Li and Yonghong Yu. Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK, July 19 - 24, 2020

  66. Xuesong Wang, Lina Yao, Wei Liu, Can Li, Lei Bai and S. Travis Waller. Mobility Irregularity Detection with Smart Transit Card Data. The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), Singapore, May 11 - 14, 2020.

  67. Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere and Yang Xiao. Prototype Similarity Learning for Activity Recognition. The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), Singapore, May 11 - 14, 2020.

  68. Zhihui Li, Lina Yao, Sen Wang, Salil S. Kanhere, Xue Li and Huaxiang Zhang.Adaptive Two-Dimensional Embedded Image Clustering, The 34th AAAI Conference on Artifical Intelligence (AAAI-20), New York, USA, February 7 - February 12, 2020

  69. Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo and Jing Jiang.Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction, The 34th AAAI Conference on Artifical Intelligence (AAAI-20), New York, USA, February 7 - February 12, 2020

  70. Chaoyi Zhang, Yang Song, Lina Yao and Weidong Cai.Shape-Oriented Convolution Neural Network for Point Cloud Analysis, The 34th AAAI Conference on Artifical Intelligence (AAAI-20), New York, USA, February 7 - February 12, 2020

  71. Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi and Yang Chen.One-Shot Learning for Long-Tail Visual Relation Detection, The 34th AAAI Conference on Artifical Intelligence (AAAI-20), New York, USA, February 7 - February 12, 2020

  72. Can Li, Lei Bai, Wei Liu, Lina Yao, and S. Travis Waller Passenger Demographic Attributes Prediction for Human-centered Public Transport. Thirty-Third Annual Conference on Neural Information Processing Systems (ICONIP 2019) (ICONIP 2019), Sydney, Australia, December 12-15, 2019.

  73. Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, and Manqing Dong， Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. Thirty-Third Annual Conference on Neural Information Processing Systems (ICONIP 2019) (ICONIP 2019), Sydney, Australia, December 12-15, 2019.

  74. Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, and Lina Yao, Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. Thirty-Third Annual Conference on Neural Information Processing Systems (ICONIP 2019) (ICONIP 2019), Sydney, Australia, December 12-15, 2019.

  75. Shuai Zhang, Yi Tay, Lina Yao and Qi Liu, Quaternion Knowledge Graph Embeddings. Thirty-Third Annual Conference on Neural Information Processing Systems (NeurIPS 2019) (NeurIPS 2019), Vancouver Convention Center, Vancouver Canada, December 8 - 14, 2019.

  76. Zhihui Li, Wenhe Liu, Xiaojun Chang, Lina Yao, Mahesh Prakash, and Huaxiang Zhang, Domain-Aware Unsupervised Cross-Dataset Person Re-Identification. The 15th International Conference on Advanced Data Mining and Applications (ADMA 2019) (ADMA 2019), Dalin, China, November 8-11, 2019. ( Best Paper Award )

  77. May Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere and Yuanjiang Cao, Reminder Care System: An Activity-Aware Cross-Device Recommendation System. The 15th International Conference on Advanced Data Mining and Applications (ADMA 2019) (ADMA 2019), Dalin, China, November 8-11, 2019.

  78. Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu and Lina Yao, Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. The 15th International Conference on Advanced Data Mining and Applications (ADMA 2019) (ADMA 2019), Dalin, China, November 8-11, 2019.

  79. Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, and Yunhao Liu, Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced Attentive Convolutional Neural Networks. The 2019 IEEE International Conference on Data Mining (ICDM 2019) (ICDM 2019), Beijing, China, November 8-11, 2019.

  80. Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, and Po Li, Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection. The 2019 IEEE International Conference on Data Mining (ICDM 2019) (ICDM 2019), Beijing, China, November 8-11, 2019.

  81. Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, and Sen Wang, Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. The 2019 IEEE International Conference on Data Mining (ICDM 2019) (ICDM 2019), Beijing, China, November 8-11, 2019.

  82. Meng Wang, Haomin Shen, Sen Wang, Lina Yao, Yinlin Jiang, Guilin Qi, and Yang Chen, Learning to Hash for Efficient Search over Incomplete Knowledge Graphs. The 2019 IEEE International Conference on Data Mining (ICDM 2019) (ICDM 2019), Beijing, China, November 8-11, 2019.

  83. Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Wei Liu and Zheng Yang, Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction. The 28th International Conference on Information and Knowledge Management, (CIKM 2019), Beijing, China, November 3-7, 2019.

  84. Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, and Aixin Sun, DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. The 28th International Joint Conference on Artificial Intelligence(IJCAI 2019), August 10-16, 2019, Macau, China.(Demo)

  85. Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo and Zhiwen Yu, Multi-agent Attentional Activity Recognition. The 28th International Joint Conference on Artificial Intelligence(IJCAI 2019), August 10-16, 2019, Macau, China.

  86. Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang and Quan Z. Sheng, STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. The 28th International Joint Conference on Artificial Intelligence(IJCAI 2019), August 10-16, 2019, Macau, China.

  87. Feng Yuan, Lina Yao and Boualem Benatallah, DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. The 28th International Joint Conference on Artificial Intelligence(IJCAI 2019), August 10-16, 2019, Macau, China.

  88. Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang and Yi Tay, Quaternion Collaborative Filtering for Recommendation. The 28th International Joint Conference on Artificial Intelligence(IJCAI 2019), August 10-16, 2019, Macau, China.

  89. Lu Liu, Tianyi Zhang, Guodong Long, Jing Jiang, Lina Yao and Chengqi Zhang, Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. The 28th International Joint Conference on Artificial Intelligence(IJCAI 2019), August 10-16, 2019, Macau, China.

  90. Xiang Zhang, Lina Yao and Feng Yuan. Adversarial Variational Embedding for Robust Semi-supervised Learning. The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019). Research Track. (KDD 2019), Anchorage, Alaska, August 4 - 8, 2019.

  91. Feng Yuan, Lina Yao and Boualem Benatallah. Adversarial Collaborative Neural Network for Robust Recommendation. The 42nd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019). (SIGIR 2019), Paris, France, July 21-25, 2019.

  92. Feng Yuan, Lina Yao and Boualem Benatallah. Adversarial Collaborative Auto-encoder for Top-N Recommendation. International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, July 14 - 19, 2019.

  93. Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang and Quan Z. Sheng. Dual-stream Self-Attentive Random Forest for False Information Detection. International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, July 14 - 19, 2019.

  94. Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah and Chaoran Huang. Similarity-aware Deep Attentive Model for Clickbait Detection. The 23nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), Macau, China, April 14 - 17, 2019.

  95. Lei Bai, Lina Yao, Salil. S. Kanhere, Zheng Yang, Jing Chu and Xianzhi Wang. Passenger Demand Forecasting with Multi-task Convolutional Recurrent Neural Networks. The 23nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), Macau, China, April 14 - 17, 2019.

  96. Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long and Sen Wang.Distributionally Robust Semi-supervised Learning for People-centric Sensing. The 33rd AAAI Conference on Artifical Intelligence (AAAI-19), Honolulu, Hawaii, USA, January 27 - February 1, 2019

  97. Zhihui Li, Lina Yao, Xiaoqing Zhang, Xianzhi Wang, Salil. S. Kanhere and Huaxiang Zhang.Zero-Shot Object Detection with Textual Descriptions. The 33rd AAAI Conference on Artifical Intelligence (AAAI-19), Honolulu, Hawaii, USA, January 27 - February 1, 2019

  98. Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao and Vinh Tran.Holographic Factorization Machines for Recommendation. The 33rd AAAI Conference on Artifical Intelligence (AAAI-19), Honolulu, Hawaii, USA, January 27 - February 1, 2019

  99. Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Flora Salim and Pari Delir Haghighi Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics. The 15th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2018). New York City, USA, Nov 5 - 7, 2018

  100. Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Zheng Sheng, and Xue Li, Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. IEEE International Conference on Data Mining ( ICDM 2018). Singapore, November 17-20, 2018.

  101. Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Ready for Use: Subject-Independent Movement Intention Recognition via A Convolutional Attention Model. The 27th ACM Conference on Information and Knowledge Management ( CIKM 2018). Lingotto, Turin, Italy, October 22 - 26, 2018

  102. Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Michael Sheng and Hao Huang. DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection. The 19th International Conference on Web Information Systems Engineering (WISE 2018), Dubai, United Arab Emirates, November 12 - 15, 2018.

  103. Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah and Shuai Zhang. Data-Augmented Regression with Generative Convolutional Network. The 19th International Conference on Web Information Systems Engineering (WISE 2018), Dubai, United Arab Emirates, November 12 - 15, 2018.

  104. Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang and Manqing Dong. Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. The 16th International Conference on Service Oriented Computing (ICSOC 2018), Hangzhou, China, November 12-15, 2018.

  105. Xiang Zhang, Lina Yao, Salil.S. Kanhere, Yunhao Liu, Tao Gu and Kaixuan Chen. MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp 2018), Oct 8 - 12, 2018, Singapore. (ACM Journal of IMWUT)

  106. Lei Bai, Lina Yao, Salil.S. Kanhere, Xianzhi Wang and Zheng Yang. Automatic Device Classification from Network Traffic Streams of Internet of Things. The 43nd IEEE Conference on Local Computer Networks (LCN) (LCN 2018), October 1 - 4, 2018, Chicago, USA.

  107. Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long and Manqing Dong, NeuRec: On Nonlinear Transformation for Personalized Ranking. The 27th International Joint Conference on Artificial Intelligence(IJCAI 2018), July 13-19 2018, Stockholm, Sweden.

  108. Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang, Multi-modality Sensor Data Classification with Selective Attention. The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), July 13-19 2018, Stockholm, Sweden.

  109. Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang, Adversarially Regularized Graph Autoencoder. The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), July 13-19 2018, Stockholm, Sweden.

  110. Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang，Tao Gu, Zhiwen Yu and Zheng Yang. Interpretable Recurrent Convolutional Neural Networks with Parallel Attentions for Multi-Modality Activity Modeling. International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, Brazil, July 8 - 13, 2018.

  111. Jing Chu, Kun Qian, Xu Wang, Lina Yao, Fu Xiao, Jianbo Li, Xin Miao and Zheng Yang. Passenger Demand Prediction with Cellular Footprints. IEEE International Conference on Sensing, Communication and Networking (SECON 2018), HongKong, China, June 11 - 13, 2018.

  112. Dalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Zheng Yang and Boualem Benatallah. Fuzzy Integral Optimization with Deep Q-Network for EEG-based Intention Recognition. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), Melbourne, Australia, June 3 - 6, 2018.

  113. Yihong Zhang, Lina Yao. Mining POI Alias from Microblog Conversations. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), Melbourne, Australia, June 3 - 6, 2018.

  114. Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian and Xue Li. EEG-based Motion Intention Recognition via Multi-task RNNs. SIAM International Conference on Data Mining (SDM 2018), San Diego, USA, May 3 - 5, 2018.

  115. Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu and Dalin Zhang. Converting Your Thougts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. IEEE International Conference on Pervasive Computing and Communications (Percom 2018), Athens, Greece, Mar 19, 2018 - Mar 23, 2018.

  116. Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots and Boualem Benatallah.Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. The 32nd AAAI Conference on Artifical Intelligence (AAAI-18), New Orleans, Lousiana, USA, 2 - 7 February, 2018

  117. Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, and Min Xu. Multi-rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification. The 32nd AAAI Conference on Artifical Intelligence (AAAI-18), New Orleans, Lousiana, USA, 2 - 7 February, 2018

  118. Forough R. Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bella Stantic, Lina Yao, and Guodong Long. Trace Ratio Optimization with Feature Correlation for Mining Multiclass Discriminant Analysis, The 32nd AAAI Conference on Artifical Intelligence (AAAI-18), New Orleans, Lousiana, USA, 2 - 7 February, 2018

  119. Xiang Zhang, Lina Yao, Chaoran Huang, QuanZheng Sheng and Xianzhi Wang, Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. The 24th International Conference On Neural Information Processing (ICONIP 2017). Guangzhou, China, November 14-18, 2017.

  120. Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang and Liming Zhu， Hybrid Collaborative Recommendation via Semi-AutoEncoder. The 24th International Conference On Neural Information Processing (ICONIP 2017). Guangzhou, China, November 14-18, 2017.

  121. Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng and Tao Gu. Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. The 14th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2017). Melbourne, Australia Nov 7 - 10, 2017

  122. Chunguang Li, Rongyi He, Lina Yao and Chongben Tao. Gait Optimization for Multiple Humanoid Robots Based on Parallel Multi-swarm Particle Swarm Algorithm. The 14th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2017). Melbourne, Australia Nov 7 - 10, 2017

  123. Peipei Xu, Wenjie Ruan, Quan Z. Sheng, Tao Gu, and Lina Yao. Interpolating the Missing Values for Multi-Dimensional Spatio-Temporal Sensory Data: A Tensor SVD Approach. . The 14th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2017). Melbourne, Australia Nov 7 - 10, 2017

  124. Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Lina Yao, and Anne H.H. Ngu, SourceVote: Fusing Multi-Valued Data via Inter-Source Agreements. The 36th International Conference on Conceptual Modeling (ER 2017). Valencia, Spain, November 6-9, 2017.

  125. Xiaodong Ning, Lina Yao, Xianzhi Wang and Boualem Benatallah, Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises. The The 13rd International Conference on Advanced Data Mining and Applications (ADMA 2017), Singapore, Nov 5 - 6, 2017. (Spotlight Research Paper)

  126. Guangyang Qi, Lina Yao and Anton Uzunov Fault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks. The The 13rd International Conference on Advanced Data Mining and Applications (ADMA 2017), Singapore, Nov 5 - 6, 2017. (Spotlight Research Paper)

  127. Nguyen Khoi Tran, Quan Z. Sheng, M. Ali Babar, and Lina Yao. A Kernel-based Approach to Developing Adaptable and Reusable Sensor Retrieval Systems for the Web of Things，The 18th International Conference on Web Information System Engineering (WISE 2017) (WISE) , Moscow, Russia, October 7-11, 2017.

  128. Shuai Zhang, Lina Yao and Xiwei Xu, AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. The 40th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017). Tokyo, Japan, August 7 - 11, 2017.

  129. Anne Ngu, Yeahuay Wu, Andrew Polican, Habil Zare and Lina Yao, Fall Detection using Smartwatch Sensor Data with Accessor Architecture. The 4th International Conference for Smart Health (ICSH 2017). Hongkong, China, June 26 - 27, 2017.

  130. Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah and Quan Z. Sheng, Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow. The 24th IEEE International Conference on Web Services (ICWS 2017). Honolulu, Hawaii, USA, June 25 - June 30, 2017.

  131. Usama Salama, Lina Yao, Xianzhi Wang, Helen Paik and Amin Beheshti, Multi-Level Privacy-Preserving Access Control as a Service for Ambient Assisted Living. The 24th IEEE International Conference on Web Services (ICWS 2017). Honolulu, Hawaii, USA, June 25 - June 30, 2017.

  132. Wei Emma Zhang, Quan Z. Sheng, Kerry L. Taylor, Yongrui Qin, and Lina Yao. Learning-based SPARQL Query Performance Modeling and Predication. The 17th International Conference on Web Information System Engineering ( WISE 2016), Shanghai, China, November 7-10, 2016.

  133. Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu and Boualem BenatallahTruth Discovery via Exploiting Implications from Multi-Source Data. The 25th ACM Conference on Information and Knowledge Management ( CIKM 2016). Indianapolis, USA, October 24-28, 2016.

  134. Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu and Boualem BenatallahEmpowering Truth Discovery with Multi-Truth Prediction. The 25th ACM Conference on Information and Knowledge Management ( CIKM 2016). Indianapolis, USA, October 24-28, 2016.

  135. Wei Emma Zhang, Mingkui Tan, Quan Z. Sheng, Lina Yao and Qinfeng Shi Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. The 25th ACM Conference on Information and Knowledge Management ( CIKM 2016). Indianapolis, USA, October 24-28, 2016.

  136. Lina Yao, Boualem Benatallah, Xianzhi Wang, Khoi Nguyen Tran and Qinghua Lu. Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly . The 14th International Conference on Service Oriented Computing ( ICSOC 2016), Banff, Alberta, Canada, October 10 -13, 2016.

  137. Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, and Lina Yao, Uncovering Locally Discriminative Structure for Feature Analysis. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ( ECML-PKDD 2016). Riva del Garda, Italy, September 19-23, 2016.

  138. Lina Yao, Feiping Nie, Quan Z. Sheng, Tao Gu, Xue Li, Sen Wang, Learning from Less for Better: Semi-Supervised Activity Recognition via Shared Structure Discovery. The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing ( UbiComp 2016). Heidelberg, Germany, September 12-16, 2016.

  139. Yongrui Qin, Lina Yao, and Quan Z. Sheng, Approximate Semantic Matching Over Linked Data Streams.. The 27th International Conference on Database and Expert Systems Applications ( DEXA 2016). Porto, Portugal, 5-8 September, 2016.

  140. Abdullah Alfazi, Quan Z. Sheng, Wei Emma Zhang, Lina Yao, and Talal H. Noor, Identification as a Service: Large-Scale Cloud Service Discovery Over the World Wide Web. The 23rd IEEE International Conference on Web Services ( ICWS 2016). San Francisco, USA, June 27-July 2, 2016

  141. Bobaker M. A. Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, and Xianzhi Wang, PLMwsp: A Probabilistic Latent Model for Web Service QoS Prediction. The 23rd IEEE International Conference on Web Services ( ICWS 2016). San Francisco, USA, June 27-July 2, 2016

  142. Wenjie Ruan, Quan Z. Sheng, Lina Yao, Tao Gu, and Longfei Shangguan, Device-Free Indoor Localization and Tracking through Human-Object Interactions.The 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks ( WoWMoM 2016), Coimbra, Portugal, June 21-24, 2016.

  143. Wenjie Ruan, Quan Z. Sheng, Lina Yao, Lei Yang, and Tao Gu. HOI-Loc: Towards Unobstructive Human Localization with Probabilistic Multi-Sensor Fusion. The 14th IEEE International Conference on Pervasive Computing and Communications ( PerCom 2016), Work-in-Progress Track, Sydney, Australia, March 14-18, 2016.

  144. Wenjie Ruan, Quan Z. Sheng, Lina Yao, Khoi Nguyen Tran, and Yu Chieh Yang. PreventDark: Automatically Detecting and Preventing Problematic Use of Smartphones in Darkness. The 14th IEEE International Conference on Pervasive Computing and Communications ( PerCom 2016), Demo Track, Sydney, Australia, March 14-18, 2016.

  145. Lina Yao, Quan Z. Sheng, Wenjie Ruan, Xue Li, Sen Wang, Zhi Yang and Wan Zou. Device-Free Posture Recognition via Online Learning of Multi-Dimensional RFID Received Signal Strengtha. The 21st IEEE International Conference on Parallel and Distributed Systems (ICPADS 2015) , Melbourne, Australia, December 14 - 17, 2015.

  146. Lina Yao, Quan Z. Sheng, Xue Li, Sen Wang, Tao Gu, Wenjie Ruan and Wan Zou. Freedom: Online Activity Recognition via Dictionary-based Sparse Representation of RFID Sensing Data. The IEEE International Conference on Data Mining (ICDM 2015) , Atlantic City, NJ, USA, November 14 - 17, 2015.

  147. Ali Shemshadi, Lina Yao, Yongrui Qin and Quan Z. Sheng. ECS: A Framework for Diversified and Relevant Searching for the Internet of Things. The 16th International Conference on Web Information System Engineering (WISE 2015), Miami, Florida, November 1-3, 2015.

  148. Xianzhi Wang, Quan Z. Sheng, Xiu Fang, Lina Yao, Xiaofei Xu, Xue Li. An Integrated Bayesian Approach for Multi-Truth Discovery. 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, October 19 - 23, 2015.

  149. Xianzhi Wang, Quan Z. Sheng, Xiu Fang, Xue Li, Xiaofei Xu, Lina Yao. Approximate Truth Discovery via Problem Scale Reduction. 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, October 19 - 23, 2015.

  150. Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, and Quan Z. Sheng. Unsupervised Feature Analysis with Class Margin Optimization. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015). Porto, Portugal, September 7 - 11, 2015.

  151. Lina Yao, Quan Z. Sheng, Yongrui Qin, Xianzhi Wang, Ali Shemshadi and Qi He. Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization. The 38th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2015). Santiago, Chile, August 9 - 13, 2015.

  152. Lina Yao, Quan Z. Sheng, Wenjie Ruan, Tao Gu, Xue Li, Nickolas J.G. Falkner, and Zhi Yang. RF-Care: Device-Free Posture Recognition for Elderly People Using Passive RFID Tag Array. The 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2015). Coimbra, Portugal, July 22–24, 2015.

    (PDF)

  153. Wenjie Ruan, Lina Yao, Quan Z. Sheng, Nickolas J.G. Falkner, and Xue Li. TagFall: Towards Device-Free, Fine-Grained Fall Detection based on UHF Passive RFID Tags. The 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2015). Coimbra, Portugal, July 22–24, 2015.

  154. Lina Yao, Xianzhi Wang, Quan Z. Sheng, Wenjie Ruan and Wei Zhang. Service Recommendation for Mashup Composition with Implicit Correlation Regularization. The IEEE 22nd International Conference on Web Services (ICWS 2015). New York, USA, June 27 - July 2, 2015. (Research track)

  155. Lina Yao, Quan Z. Sheng Nickolas J.G. Falkner and Anne. H. H. Ngu. ThingsNavi: Finding Most-Related Things via Multi-dimensional Modeling of Human-Thing Interactions. The 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services(MobiQuitous 2014) , December 2–5, 2014 London, Great Britain

  156. Wenjie Ruan, Lina Yao, Quan Z. Sheng, Xue Li and Nickolas J.G. Falkner. TagTrack: Device-free Localization and Tracking Using Passive RFID Tags. The 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services(MobiQuitous 2014) , December 2–5, 2014 London, Great Britain

  157. Lina Yao, Quan Z. Sheng, Anne. H. H. Ngu and Byron Gao. Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things. The 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014) , November 3-7, 2014, Shanghai, China

  158. Lina Yao, Wenjie Ruan, Quan Z. Sheng, Xue Li and Nickolas J.G. Falkner. Exploring Tag-free RFID-based Passive Localization and Tracking via Learning-based Probabilistic Approaches. The 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014) , November 3-7, 2014, Shanghai, China

  159. Lina Yao, Quan Z. Sheng, Anne.H.H.Ngu, Helen Ashman and Xue Li. Exploring Recommendations in Internet of Things. The 37th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2014). Gold Coast, Australia, July 6-11, 2014.

  160. Anne H.H. Ngu, Jiangang Ma, Quan Z. Sheng, Lina Yao amd Scott Julian. ServiceXplorer: A Similarity-based Web Service Search Engine. The 37th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2014). Gold Coast, Australia, July 6-11, 2014.

  161. Jiangang Ma, Quan Z. Sheng, Lina Yao, Yong Xu, and Ali Shemshadi. Keyword Search over Web Documents based on Earth Mover's Distance. The 15th International Conference on Web Information Systems Engineering(WISE 2014). Thessaloniki, Greece, October 12-14, 2014.

  162. Lina Yao, Quan Z. Sheng, Byron Gao, Anne.H.H.Ngu and Xue Li. A Model for Discovering Correlations of Ubiquitous Things. The IEEE International Conference on Data Mining (ICDM 2013). Dallas, Texas, USA, December 7-10, 2013.

  163. Lina Yao, Quan Z. Sheng, Aviv Segev and Jian Yu. Recommending Web Services via Combining Collaborative Filtering with Content-based Features . The IEEE 20th International Conference on Web Services (ICWS 2013). Santa Clara Marriott, CA, USA (Center of Silicon Valley), June 27-July 2, 2013. (Research track)

  164. Lina Yao and Quan Z. Sheng. Correlation Discovery in Web of Things. The 22nd International World Wide Web Conference (WWW 2013). Rio, Brazil, May 13 - May 17, 2013.

  165. Zakaria Maamar, Noura Faci, Quan Z. Sheng, and Lina Yao. Towards a User-Centric Social Approach to Web Services Composition, Execution, and Monitoring. The 13th International Conference on Web Information Systems Engineering (WISE 2012). Paphos, Cyprus, November 28-30, 2012.

  166. Lina Yao and Quan Z. Sheng. Exploiting Latent Relevance for Relational Learning of Ubiquitous Things. The 21st ACM Conference on Information and Knowledge Management (CIKM 2012). Maui, Hawaii, USA. October 29 - November 2, 2012.

  167. Lina Yao and Quan Z. Sheng. A Tag-Centric Discriminative Model for Web Objects Classification. The 21st ACM Conference on Information and Knowledge Management (CIKM 2012). Maui, Hawaii, USA. October 29 - November 2, 2012.

  168. Yanbo Wu, Quan Z. Sheng, Damith Ranasinghe, and Lina Yao. PeerTrack: A Platform for Tracking and Tracing Objects in Large-Scale Traceability Networks. The 15th International Conference on Extending Database Technology (EDBT 2012). Berlin, Germany, March 26-30, 2012.

  169. Lina Yao. A Propagation Model for Integrating Web of Things and Social Networks. PhD Symphosium. The Ninth International Conference on Service Oriented Computing (ICSOC 2011), Paphos, Cyprus, December 5-8, 2011.

  170. Lina Yao, Quan Z. Sheng. Particle Filtering based Availability Prediction for Web Services. The Ninth International Conference on Service Oriented Computing (ICSOC 2011), Paphos, Cyprus, December 5-8, 2011.