| EMG-centered multisensory based technologies for pattern recognition in rehabilitation: state of the art and challenges B He*, C Fang*, Y Wang, J Cao, S Gao Biosensors 10 (8), 85, 2020 | 103 | 2020 |
| Pointclip v2: Prompting clip and gpt for powerful 3d open-world learning X Zhu*, R Zhang*, B He, Z Guo, Z Zeng, Z Qin, S Zhang, P Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 99 | 2023 |
| Not all features matter: Enhancing few-shot clip with adaptive prior refinement X Zhu*, R Zhang*, B He, A Zhou, D Wang, B Zhao, P Gao ICCV'23: 2023 International Conference on Computer Vision, 2023 | 24 | 2023 |
| Dynamically Expandable Graph Convolution for Streaming Recommendation B He, X He, Y Zhang, R Tang, C Ma WWW '23: Proceedings of the ACM Web Conference 2023 11, 1457–1467, 2023 | 18 | 2023 |
| Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems XH Chen, B He, Y Yu, Q Li, Z Qin, W Shang, J Ye, C Ma ICDE'23: The 39th IEEE International Conference on Data Engineering, 2023 | 9 | 2023 |
| RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation S Luo, B He, H Zhao, Y Huang, A Zhou, Z Li, Y Xiao, M Zhan, L Song arXiv preprint arXiv:2312.16018, 2023 | 8 | 2023 |
| Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System B He, X He, R Zhang, Y Zhang, R Tang, C Ma CIKM'23: 32nd ACM International Conference on Information and Knowledge …, 2023 | 5 | 2023 |
| Towards skilled population curriculum for multi-agent reinforcement learning R Wang, L Zheng, W Qiu, B He, B An, Z Rabinovich, Y Hu, Y Chen, T Lv, ... arXiv preprint arXiv:2302.03429, 2023 | 5 | 2023 |
| A Survey of Diversification Techniques in Search and Recommendation H Wu, Y Zhang, C Ma, F Lyu, B He, F Diaz, X Liu IEEE Transactions on Knowledge and Data Engineering, 2024 | 4 | 2024 |
| Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation S Luo, Y Yao, B He, Y Huang, A Zhou, X Zhang, Y Xiao, M Zhan, L Song arXiv preprint arXiv:2401.13870, 2024 | 3 | 2024 |
| MMEL: a joint learning framework for multi-mention entity linking C Yang, B He, Y Wu, C Xing, L He, C Ma UAI'2023: 39th Conference on Uncertainty in Artificial Intelligence, 2411-2421, 2023 | 3 | 2023 |
| Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems B He*, Z Zhao*, W Luo, R Liu IEEE Robotics and Automation Letters (RA-L), 2022 | 3 | 2022 |
| Offline imitation learning with variational counterfactual reasoning Z Sun, B He, J Liu, X Chen, C Ma, S Zhang NeurIPS'2023: The Thirty-Seventh Annual Conference on Neural Information …, 2023 | 2 | 2023 |
| Offline Imitation Learning with Variational Counterfactual Reasoning B He, Z Sun, J Liu, S Zhang, X Chen, C Ma NeurIPS'2023: The Thirty-Seventh Annual Conference on Neural Information …, 2023 | 2 | 2023 |
| Less is more: Towards efficient few-shot 3d semantic segmentation via training-free networks X Zhu*, R Zhang*, B He, Z Guo, J Liu, H Dong, P Gao CVPR'24: The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024, 2023 | 2 | 2023 |
| 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, 2024 | 1 | 2024 |
| Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization Z Sun, B He, M Ma, J Tang, Y Wang, C Ma, D Liu ICDM'2023: International Conference on Data Mining, 2023 | 1 | 2023 |
| Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling B He*, Y Mao*, S Zhou, C Ma, Z Wang ICME'2023: IEEE International Conference on Multimedia & Expo 2023, 2023 | 1 | 2023 |
| No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation X Zhu, R Zhang, B He, Z Guo, J Liu, H Xiao, C Fu, H Dong, P Gao arXiv preprint arXiv:2404.04050, 2024 | | 2024 |
| Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks Z Cui, X Tang, Y Qiao, B He, L Chen, X He, C Ma SDM'2024 : SIAM International Conference on Data Mining, 2024 | | 2024 |
Chen MaAssistant Professor, City University of Hong KongVerified email at cityu.edu.hk
