| A multi-objective optimization framework for multi-stakeholder fairness-aware recommendation H Wu, C Ma, B Mitra, F Diaz, X Liu ACM Transactions on Information Systems 41 (2), 1-29, 2022 | 56* | 2022 |
| Joint Multisided Exposure Fairness for Recommendation H Wu, B Mitra, C Ma, F Diaz, X Liu ACM Special Interest Group on Information Retrieval (SIGIR), 2022., 12:703-714, 2022 | 47 | 2022 |
| Knowledge-enhanced Top-K recommendation in poincaré ball C Ma, L Ma, Y Zhang, H Wu, X Liu, M Coates Association for the Advancement of Artificial Intelligence (AAAI), 2021. 35 …, 2021 | 33 | 2021 |
| Teacher-student architecture for knowledge distillation: A survey C Hu, X Li, D Liu, H Wu, X Chen, J Wang, X Liu arXiv preprint arXiv:2308.04268, 2023 | 21* | 2023 |
| Coarse-to-fine knowledge-enhanced multi-interest learning framework for multi-behavior recommendation C Meng, Z Zhao, W Guo, Y Zhang, H Wu, C Gao, D Li, X Li, R Tang ACM Transactions on Information Systems 42 (1), 1-27, 2023 | 15 | 2023 |
| A new medical image encryption algorithm using multiple 1-D chaotic maps C Fu, YF Shan, MY He, ZY Yu, HL Wu 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 13 | 2018 |
| Hierarchical projection enhanced multi-behavior recommendation C Meng, H Zhang, W Guo, H Guo, H Liu, Y Zhang, H Zheng, R Tang, X Li, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Pixel level image encryption based on semantic segmentation Y Shan, M He, Z Yu, H Wu 2018 International Conference on Control, Artificial Intelligence, Robotics …, 2018 | 5 | 2018 |
| Result Diversification in Search and Recommendation: A Survey H Wu, Y Zhang, C Ma, F Lyu, B He, B Mitra, X Liu IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, 2024 | 4* | 2024 |
| Feature representation learning for click-through rate prediction: A review and new perspectives F Lyu, X Tang, D Liu, H Wu, C Ma, X He, X Liu arXiv preprint arXiv:2302.02241, 2023 | 3* | 2023 |
| Coordination Control of Path Tracking and Stability for 4WS Autonomous Vehicle H Wu, Y Li 2020 5th International Conference on Electromechanical Control Technology …, 2020 | 3 | 2020 |
| Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation H Wu, C Ma, Y Zhang, X Liu, R Tang, M Coates ACM Conference on Information and Knowledge Management (CIKM), 2022., 2022 | 2 | 2022 |
| Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation H Wu, Y Zhang, C Ma, W Guo, R Tang, X Liu, M Coates IEEE International Conference on Data Engineering (ICDE), 2023., 2022 | 1 | 2022 |
| A Pioneering Scalable Self-driving Car Simulation Platform H Wu, Y Feng 2019 IEEE 2nd International Conference on Automation, Electronics and …, 2019 | 1 | 2019 |
| Structured Entity Extraction Using Large Language Models H Wu, Y Yuan, L Mikaelyan, A Meulemans, X Liu, J Hensman, B Mitra arXiv preprint arXiv:2402.04437, 2024 | | 2024 |
| Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings X Huang, H Wu, X Liu, S Lajoie ACM Conference on Human Factors in Computing Systems (CHI), 2024, 2024 | | 2024 |
| Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation C Hu, H Wu, X Li, C Ma, X Chen, J Yan, B Wang, X Liu International Conference on Learning Representations (ICLR), 2024., 2023 | | 2023 |
| Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval H Wu, O Meshi, M Zoghi, F Diaz, X Liu, C Boutilier, M Karimzadehgan arXiv preprint arXiv:2310.20091, 2023 | | 2023 |
| Coarse-to-fine knowledge-enhanced multi-interest learning framework for multi-behavior recommendation C Meng, Z Zhao, W Guo, Y Zhang, H Wu, C Gao, D Li, X Li, R Tang ACM Transactions on Information Systems 42 (1), 1-27, 2023 | | 2023 |
| Recommendation system with adaptive weighted baysian personalized ranking loss H Wu, C Ma, Y Zhang US Patent App. 17/170,865, 2022 | | 2022 |
Xue (Steve) LiuFellow CAE; Fellow IEEE; Prof@McGill Univ.; VP R&D@Samsung AI; Chair ACM SIGBED; MilaVerified email at cs.mcgill.ca
