Bowei He

According to our database, Bowei He authored at least 29 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Result Diversification in Search and Recommendation: A Survey.

Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, Bhaskar Mitra, Xue Liu

IEEE Trans. Knowl. Data Eng., October, 2024

Mitigating Large Language Model Hallucination with Faithful Finetuning.

Minda Hu, Bowei He, Yufei Wang, Liangyou Li, Chen Ma, Irwin King

CoRR, 2024

Privacy in LLM-based Recommendation: Recent Advances and Future Directions.

Sichun Luo, Wei Shao, Yuxuan Yao, Jian Xu, Mingyang Liu, Qintong Li, Bowei He, Maolin Wang, Guanzhi Deng, Hanxu Hou, Xinyi Zhang, Linqi Song

CoRR, 2024

Diffusion-based Contrastive Learning for Sequential Recommendation.

Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma

CoRR, 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

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

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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, Han Xiao, Chaoyou Fu, Hao Dong, Peng Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Interpretable Triplet Importance for Personalized Ranking.

Bowei He, Chen Ma

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning.

Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining.

Shuqi Liu, Bowei He, Linqi Song

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Less is More: Towards Efficient Few-shot 3D Semantic Segmentation via Training-free Networks.

Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Hao Dong, Peng Gao

CoRR, 2023

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning.

Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan

CoRR, 2023

Dynamically Expandable Graph Convolution for Streaming Recommendation.

Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma

Proceedings of the ACM Web Conference 2023, 2023

MMEL: A Joint Learning Framework for Multi-Mention Entity Linking.

Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Offline Imitation Learning with Variational Counterfactual Reasoning.

Zexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling.

Yinan Mao, Bowei He, Shiji Zhou, Chen Ma, Zhi Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization.

Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu

Proceedings of the IEEE International Conference on Data Mining, 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, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mutually Guided Few-Shot Learning For Relational Triple Extraction.

Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He

Proceedings of the IEEE International Conference on Acoustics, 2023

Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System.

Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

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

IEEE Robotics Autom. Lett., 2022

PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning.

Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyao Zeng, Shanghang Zhang, Peng Gao

CoRR, 2022

2016

Expenditure Aware Rating Prediction for Recommendation.

Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu

CoRR, 2016

Expenditure aware rating prediction for recommendation.

Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu, Naiwang Guo

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2012

Personalized Friend Recommendation in Social Network Based on Clustering Method.

Zhiwei Deng, Bowei He, Chengchi Yu, Yuxiang Chen

Proceedings of the Computational Intelligence and Intelligent Systems, 2012