| 2026 | AAAI | S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening. | Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma |
| 2026 | Mobisys | Scaling Mobile Agent Systems: From Capability Density to Collective Intelligence. | Bowei He |
| 2026 | WWW | From Token to Item: Enhancing Large Language Models for Recommendation via Item-aware Attention Mechanism. | Xiaokun Zhang, Bowei He, Jiamin Chen, Ziqiang Cui, Chen Ma |
| 2026 | SIGIR | Fast and Faithful: Real-Time Verification for Long-Document Retrieval-Augmented Generation Systems. | Xunzhuo Liu, Bowei He, Xue Liu, Haichen Zhang, Huamin Chen |
| 2026 | WSDM | Have We Really Understood Collaborative Information? An Empirical Investigation. | Xiaokun Zhang, Zhaochun Ren, Bowei He, Ziqiang Cui, Chen Ma |
| 2025 | ACL | Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models. | Shuqi Liu, Han Wu, Bowei He, Xiongwei Han, Mingxuan Yuan, Linqi Song |
| 2025 | EMNLP | NILE: Internal Consistency Alignment in Large Language Models. | Minda Hu, Qiyuan Zhang, Yufei Wang, Bowei He, Hongru Wang, Jingyan Zhou, Liangyou Li, Yasheng Wang, Chen Ma, Irwin King |
| 2025 | ICLR | Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks. | Bowei He, Lihao Yin, Hui-Ling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma |
| 2025 | SDM | Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation. | Renqi Jia, Xiaokun Zhang, Bowei He, Qiannan Zhu, Weitao Xu, Jiehao Chen, Chen Ma |
| 2024 | ACL | Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining. | Shuqi Liu, Bowei He, Linqi Song |
| 2024 | CIKM | Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning. | Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma |
| 2024 | CIKM | Interpretable Triplet Importance for Personalized Ranking. | Bowei He, Chen Ma |
| 2024 | CVPR | No Time to Train: Empowering Non-Parametric Networks for Few-Shot 3D Scene Segmentation. | Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Han Xiao, Chaoyou Fu, Hao Dong, Peng Gao |
| 2024 | KDD | Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. | Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma |
| 2024 | SDM | Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. | Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma |
| 2023 | CIKM | Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. | Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma |
| 2023 | ICASSP | Mutually Guided Few-Shot Learning For Relational Triple Extraction. | Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He |
| 2023 | ICCV | PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning. | Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Ziyao Zeng, Zipeng Qin, Shanghang Zhang, Peng Gao |
| 2023 | ICCV | Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. | Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao |
| 2023 | ICDE | Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. | Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma |
| 2023 | ICDM | Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. | Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu |
| 2023 | WWW | Dynamically Expandable Graph Convolution for Streaming Recommendation. | Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma |
| 2023 | UAI | MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. | Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma |