| 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 | 110 | 2020 |
| PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning X Zhu*, R Zhang*, B He, Z Zeng, S Zhang, P Gao ICCV'23: 2023 International Conference on Computer Vision, 2022 | 72 | 2022 |
| 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 | 53 | 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 | 34 | 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 | 22 | 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 | 13 | 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 | 13 | 2023 |
| 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 | 6 | 2024 |
| 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 | 6 | 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 | 5 | 2024 |
| 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 |
| 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 | 3 | 2023 |
| 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 |
| 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 | 2 | 2024 |
| 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 |
| 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 | 2 | 2022 |
| Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing B He, Y Weng, X Tang, Z Cui, Z Sun, L Chen, X He, C Ma KDD'24: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024 | 1 | 2024 |
| 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
Chen MaAssistant Professor, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
