Personalized Friend Recommendation in Social Network Based on Clustering Method. - Zhiwei Deng; Bowei He; Chengchi Yu; Yuxiang Chen (ISICA, 2012)

Expenditure aware rating prediction for recommendation. - Chuan Shi 001; Bowei He; Menghao Zhang 002; Fuzhen Zhuang; Philip S. Yu; Naiwang Guo (IEEE BigData, 2016)

Expenditure Aware Rating Prediction for Recommendation. - Chuan Shi 001; Bowei He; Menghao Zhang 002; Fuzhen Zhuang; Philip S. Yu (CoRR, 2016)

PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning. - Xiangyang Zhu; Renrui Zhang; Bowei He; Ziyao Zeng; Shanghang Zhang; Peng Gao 007 (CoRR, 2022)

Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems. - Zhenting Zhao; Bowei He; Wenhao Luo; Rui Liu 003 (IEEE Robotics Autom. Lett., 2022)

Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. - Bowei He; Xu He; Renrui Zhang; Yingxue Zhang 001; Ruiming Tang; Chen Ma 001 (CIKM, 2023)

Mutually Guided Few-Shot Learning For Relational Triple Extraction. - Chengmei Yang; Shuai Jiang; Bowei He; Chen Ma 001; Lianghua He (ICASSP, 2023)

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 007 (ICCV, 2023)

Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. - Xiangyang Zhu; Renrui Zhang; Bowei He; Aojun Zhou; Dong Wang 004; Bin Zhao 001; Peng Gao 007 (ICCV, 2023)

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 001; Qingyang Li 001; Zhiwei Tony Qin; Wenjie Shang; Jieping Ye; Chen Ma 001 (ICDE, 2023)

Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. - Zexu Sun; Bowei He; Ming Ma; Jiakai Tang; Yuchen Wang; Chen Ma 001; Dugang Liu (ICDM, 2023)

Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. - Yinan Mao; Bowei He; Shiji Zhou; Chen Ma 001; Zhi Wang 001 (ICME, 2023)

Offline Imitation Learning with Variational Counterfactual Reasoning. - Zexu Sun; Bowei He; Jinxin Liu; Xu Chen 017; Chen Ma 001; Shuai Zhang (NeurIPS, 2023)

MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. - Chengmei Yang; Bowei He; Yimeng Wu; Chao Xing; Lianghua He; Chen Ma 001 (UAI, 2023)

Dynamically Expandable Graph Convolution for Streaming Recommendation. - Bowei He; Xu He; Yingxue Zhang 001; Ruiming Tang; Chen Ma 001 (WWW, 2023)

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. - Rundong Wang; Longtao Zheng; Wei Qiu 001; Bowei He; Bo An 001; Zinovi Rabinovich; Yujing Hu; Yingfeng Chen; Tangjie Lv; Changjie Fan (CoRR, 2023)

Less is More: Towards Efficient Few-shot 3D Semantic Segmentation via Training-free Networks. - Xiangyang Zhu; Renrui Zhang; Bowei He; Ziyu Guo; Jiaming Liu 003; Hao Dong 003; Peng Gao 007 (CoRR, 2023)

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. - Sichun Luo; Bowei He; Haohan Zhao; Yinya Huang; Aojun Zhou; Zongpeng Li; Yuanzhang Xiao; Mingjie Zhan; Linqi Song (CoRR, 2023)

Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining. - Shuqi Liu 001; Bowei He; Linqi Song (ACL (Findings), 2024)

Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning. - Ziqiang Cui; Haolun Wu; Bowei He; Ji Cheng 001; Chen Ma 001 (CIKM, 2024)

Interpretable Triplet Importance for Personalized Ranking. - Bowei He; Chen Ma 001 (CIKM, 2024)

No Time to Train: Empowering Non-Parametric Networks for Few-Shot 3D Scene Segmentation. - Xiangyang Zhu; Renrui Zhang; Bowei He; Ziyu Guo; Jiaming Liu 003; Han Xiao 010; Chaoyou Fu; Hao Dong 003; Peng Gao 007 (CVPR, 2024)

Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. - Bowei He; Yunpeng Weng; Xing Tang 007; Ziqiang Cui; Zexu Sun; Liang Chen 009; Xiuqiang He 001; Chen Ma 001 (KDD, 2024)

Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. - Ziqiang Cui; Xing Tang 007; Yang Qiao; Bowei He; Liang Chen 009; Xiuqiang He 001; Chen Ma 001 (SDM, 2024)

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation. - Sichun Luo; Yuxuan Yao; Bowei He; Yinya Huang; Aojun Zhou; Xinyi Zhang; Yuanzhang Xiao; Mingjie Zhan; Linqi Song (CoRR, 2024)

Diffusion-based Contrastive Learning for Sequential Recommendation. - Ziqiang Cui; Haolun Wu; Bowei He; Ji Cheng 001; Chen Ma 001 (CoRR, 2024)

Privacy in LLM-based Recommendation: Recent Advances and Future Directions. - Sichun Luo; Wei Shao 009; Yuxuan Yao; Jian Xu; Mingyang Liu; Qintong Li; Bowei He; Maolin Wang 001; Guanzhi Deng; Hanxu Hou; Xinyi Zhang; Linqi Song (CoRR, 2024)

Mitigating Large Language Model Hallucination with Faithful Finetuning. - Minda Hu; Bowei He; Yufei Wang 005; Liangyou Li; Chen Ma 001; Irwin King (CoRR, 2024)

NILE: Internal Consistency Alignment in Large Language Models. - Minda Hu; Qiyuan Zhang; Yufei Wang 005; Bowei He; Hongru Wang 003; Jingyan Zhou; Liangyou Li; Yasheng Wang; Chen Ma 001; Irwin King (CoRR, 2024)

Result Diversification in Search and Recommendation: A Survey. - Haolun Wu; Yansen Zhang; Chen Ma 001; Fuyuan Lyu; Bowei He; Bhaskar Mitra 001; Xue Liu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models. - Shuqi Liu 001; Han Wu 004; Bowei He; Xiongwei Han; Mingxuan Yuan; Linqi Song (ACL (Findings), 2025)

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks. - Bowei He; Lihao Yin; Hui-Ling Zhen; Jianping Zhang 002; Lanqing Hong; Mingxuan Yuan; Chen Ma 001 (ICLR, 2025)

Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation. - Renqi Jia; Xiaokun Zhang 001; Bowei He; Qiannan Zhu; Weitao Xu; Jiehao Chen; Chen Ma 001 (SDM, 2025)

OPTISHEAR: Towards Efficient and Adaptive Pruning of Large Language Models via Evolutionary Optimization. - Shuqi Liu 001; Bowei He; Han Wu 004; Linqi Song (CoRR, 2025)

1bit-Merging: Dynamic Quantized Merging for Large Language Models. - Shuqi Liu 001; Han Wu 004; Bowei He; Zehua Liu; Xiongwei Han; Mingxuan Yuan; Linqi Song (CoRR, 2025)

PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery. - Bowei He; Lihao Yin; Hui-Ling Zhen; Xiaokun Zhang 001; Mingxuan Yuan; Chen Ma 001 (CoRR, 2025)

Sequential Causal Effect Estimation by Jointly Modeling the Unmeasured Confounders and Instrumental Variables. - Zexu Sun; Bowei He; Shiqi Shen; Zhipeng Wang; Zhi Gong; Chen Ma 001; Qi Qi 003; Xu Chen 017 (IEEE Trans. Knowl. Data Eng., 2025)

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation. - Ziqiang Cui; Yunpeng Weng; Xing Tang 007; Xiaokun Zhang 001; Dugang Liu; Shiwei Li 002; Peiyang Liu; Bowei He; Weihong Luo; Xiuqiang He 001; Chen Ma 001 (CoRR, 2025)

Counterfactual Multi-player Bandits for Explainable Recommendation Diversification. - Yansen Zhang; Bowei He; Xiaokun Zhang 001; Haolun Wu; Zexu Sun; Chen Ma 001 (CoRR, 2025)

An attention-aware GNN-based input defender against multi-turn jailbreak on LLMs. - Zixuan Huang; Kecheng Huang; Lihao Yin; Bowei He; Hui-Ling Zhen; Mingxuan Yuan; Zili Shao (CoRR, 2025)

A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective. - Xiaokun Zhang 001; Bo Xu 009; Chenliang Li; Bowei He; Hongfei Lin; Chen Ma 001; Fenglong Ma (IEEE Trans. Knowl. Data Eng., 2025)

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. - Sichun Luo; Bowei He; Haohan Zhao; Wei Shao 009; Yanlin Qi; Yinya Huang; Aojun Zhou; Yuxuan Yao; Zongpeng Li; Yuanzhang Xiao; Mingjie Zhan; Linqi Song (ACM Trans. Inf. Syst., 2025)