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ORCIDBowei He
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2020 – today
- 2024
[c15]Shuqi Liu, Bowei He, Linqi Song:
Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining. ACL (Findings) 2024: 8578-8598- [c14]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: 5093-5104 - [c13]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: 289-297 - [i22]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 abs/2401.06557 (2024) - [i21]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 abs/2401.13870 (2024) - [i20]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 abs/2404.04050 (2024) - [i19]Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma:
Diffusion-based Contrastive Learning for Sequential Recommendation. CoRR abs/2405.09369 (2024) - [i18]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 abs/2405.15301 (2024) - [i17]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 abs/2406.01363 (2024) - [i16]Shuqi Liu, Bowei He, Linqi Song:
Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining. CoRR abs/2406.06586 (2024) - [i15]Minda Hu, Bowei He, Yufei Wang, Liangyou Li, Chen Ma, Irwin King:
Mitigating Large Language Model Hallucination with Faithful Finetuning. CoRR abs/2406.11267 (2024) - [i14]Bowei He, Chen Ma:
Interpretable Triplet Importance for Personalized Ranking. CoRR abs/2407.19469 (2024) - 2023
- [c12]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: 741-750 - [c11]Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He:
Mutually Guided Few-Shot Learning For Relational Triple Extraction. ICASSP 2023: 1-5 - [c10]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: 2605-2615 - [c9]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: 2639-2650 - [c8]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: 3389-3402 - [c7]Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu:
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. ICDM 2023: 1325-1330 - [c6]Yinan Mao, Bowei He, Shiji Zhou, Chen Ma, Zhi Wang:
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. ICME 2023: 972-977 - [c5]Zexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang:
Offline Imitation Learning with Variational Counterfactual Reasoning. NeurIPS 2023 - [c4]Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma:
MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. UAI 2023: 2411-2421 - [c3]Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma:
Dynamically Expandable Graph Convolution for Streaming Recommendation. WWW 2023: 1457-1467 - [i13]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 abs/2302.03429 (2023) - [i12]Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma:
Dynamically Expandable Graph Convolution for Streaming Recommendation. CoRR abs/2303.11700 (2023) - [i11]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 abs/2304.01195 (2023) - [i10]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 abs/2305.04832 (2023) - [i9]Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He:
Mutually Guided Few-shot Learning for Relational Triple Extraction. CoRR abs/2306.13310 (2023) - [i8]Bowei He, Yinan Mao, Shiji Zhou, Chen Ma, Zhi Wang:
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. CoRR abs/2308.04205 (2023) - [i7]Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma:
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. CoRR abs/2308.07760 (2023) - [i6]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 abs/2308.12961 (2023) - [i5]Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu:
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. CoRR abs/2310.04693 (2023) - [i4]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 abs/2312.16018 (2023) - 2022
- [j1]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): 10985-10990 (2022) - [i3]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 abs/2202.11932 (2022) - [i2]Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyao Zeng, Shanghang Zhang, Peng Gao:
PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning. CoRR abs/2211.11682 (2022)
2010 – 2019
- 2016
- [c2]Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu, Naiwang Guo:
Expenditure aware rating prediction for recommendation. IEEE BigData 2016: 1018-1025 - [i1]Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu:
Expenditure Aware Rating Prediction for Recommendation. CoRR abs/1610.05464 (2016) - 2012
- [c1]Zhiwei Deng, Bowei He, Chengchi Yu, Yuxiang Chen:
Personalized Friend Recommendation in Social Network Based on Clustering Method. ISICA 2012: 84-91
Coauthor Index
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last updated on 2024-09-10 02:08 CEST by the dblp team
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