Bowei He

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 37

Top Topics

Future Directions

Rating Prediction

Semantic Segmentation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Sichun Luo, Yuxuan Yao, Bowei He, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Mingjie Zhan, Linqi Song
Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation. CoRR (2024)
Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. CoRR (2024)
Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. SDM (2024)
Shuqi Liu, Bowei He, Linqi Song
Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining. CoRR (2024)
Bowei He, Chen Ma
Interpretable Triplet Importance for Personalized Ranking. CoRR (2024)
Sichun Luo, Wei Shao, Yuxuan Yao, Jian Xu, Mingyang Liu, Qintong Li, Bowei He, Maolin Wang, Guanzhi Deng, Hanxu Hou, Xinyi Zhang, Linqi Song
Privacy in LLM-based Recommendation: Recent Advances and Future Directions. CoRR (2024)
Shuqi Liu, Bowei He, Linqi Song
Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining. ACL (Findings) (2024)
Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Han Xiao, Chaoyou Fu, Hao Dong, Peng Gao
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation. CoRR (2024)
Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. KDD (2024)
Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. CoRR (2024)
Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma
Diffusion-based Contrastive Learning for Sequential Recommendation. CoRR (2024)
Minda Hu, Bowei He, Yufei Wang, Liangyou Li, Chen Ma, Irwin King
Mitigating Large Language Model Hallucination with Faithful Finetuning. CoRR (2024)
Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He
Mutually Guided Few-shot Learning for Relational Triple Extraction. CoRR (2023)
Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamically Expandable Graph Convolution for Streaming Recommendation. CoRR (2023)
Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. ICDE (2023)
Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He
Mutually Guided Few-Shot Learning For Relational Triple Extraction. ICASSP (2023)
Yinan Mao, Bowei He, Shiji Zhou, Chen Ma, Zhi Wang
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. ICME (2023)
Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. CoRR (2023)
Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Hao Dong, Peng Gao
Less is More: Towards Efficient Few-shot 3D Semantic Segmentation via Training-free Networks. CoRR (2023)
Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Ziyao Zeng, Zipeng Qin, Shanghang Zhang, Peng Gao
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning. ICCV (2023)
Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. CIKM (2023)
Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. CoRR (2023)
Bowei He, Yinan Mao, Shiji Zhou, Chen Ma, Zhi Wang
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. CoRR (2023)
Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. CoRR (2023)
Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamically Expandable Graph Convolution for Streaming Recommendation. WWW (2023)
Zexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang
Offline Imitation Learning with Variational Counterfactual Reasoning. NeurIPS (2023)
Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. ICDM (2023)
Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. ICCV (2023)
Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma
MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. UAI (2023)
Sichun Luo, Bowei He, Haohan Zhao, Yinya Huang, Aojun Zhou, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. CoRR (2023)
Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. CoRR (2023)
Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. CoRR (2023)
Zhenting Zhao, Bowei He, Wenhao Luo, Rui Liu
Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems. IEEE Robotics Autom. Lett. 7 (4) (2022)
Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyao Zeng, Shanghang Zhang, Peng Gao
PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning. CoRR (2022)
Zhenting Zhao, Bowei He, Wenhao Luo, Rui Liu
Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems. CoRR (2022)
Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu, Naiwang Guo
Expenditure aware rating prediction for recommendation. IEEE BigData (2016)
Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu
Expenditure Aware Rating Prediction for Recommendation. CoRR (2016)
Zhiwei Deng, Bowei He, Chengchi Yu, Yuxiang Chen
Personalized Friend Recommendation in Social Network Based on Clustering Method. ISICA (2012)