Bowei He

According to our database, Bowei He authored at least 74 papers between 2012 and 2026.

Collaborative distances:

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

2026

Distributionally Robust Set Representation Learning Under Inference-Time Element Corruption.

Yankai Chen, Hanrong Zhang, Bowei He, Philip S. Yu, Xue Liu

CoRR, May, 2026

QUACK: Questioning, Understanding, and Auditing Communicated Knowledge in Multimodal Social Deduction Agents.

Ye Yuan, Rui Song, Weien Li, Zeyu Li, Haochen Liu, Xiangyu Kong, Changjiang Han, Yonghan Yang, Zichen Zhao, Zixuan Dong, Fuyuan Lyu, Bowei He, Haolun Wu, Jikun Kang, Xue (Steve) Liu

CoRR, May, 2026

Support-Proximity Augmented Diffusion Estimation for Offline Black-Box Optimization.

Yonghan Yang, Ye Yuan, Zipeng Sun, Linfeng Du, Bowei He, Haolun Wu, Can Chen, Xue (Steve) Liu

CoRR, May, 2026

MINER: Mining Multimodal Internal Representation for Efficient Retrieval.

Weien Li, Rui Song, Zeyu Li, Haochen Liu, Gonghao Zhang, Difan Jiao, Zhenwei Tang, Bowei He, Haolun Wu, Xue (Steve) Liu, Ye Yuan

CoRR, May, 2026

Dual-Pool Token-Budget Routing for Cost-Efficient and Reliable LLM Serving.

Xunzhuo Liu, Bowei He, Xue (Steve) Liu, Andy Luo, Haichen Zhang, Huamin Chen

CoRR, April, 2026

Beyond Message Passing: A Semantic View of Agent Communication Protocols.

Dun Yuan, Fuyuan Lyu, Ye Yuan, Weixu Zhang, Bowei He, Jiayi Geng, Linfeng Du, Zipeng Sun, Yankai Chen, Changjiang Han, Jikun Kang, Xi Chen, Haolun Wu, Xue Liu

CoRR, April, 2026

Learning Quantised Structure-Preserving Motion Representations for Dance Fingerprinting.

Arina Kharlamova, Bowei He, Chen Ma, Xue (Steve) Liu

CoRR, April, 2026

From Inference Routing to Agent Orchestration: Declarative Policy Compilation with Cross-Layer Verification.

Huamin Chen, Xunzhuo Liu, Bowei He, Xue Liu

CoRR, March, 2026

Fast and Faithful: Real-Time Verification for Long-Document Retrieval-Augmented Generation Systems.

Xunzhuo Liu, Bowei He, Xue Liu, Haichen Zhang, Huamin Chen

CoRR, March, 2026

Knowledge Access Beats Model Size: Memory Augmented Routing for Persistent AI Agents.

Xunzhuo Liu, Bowei He, Xue Liu, Andy Luo, Haichen Zhang, Huamin Chen

CoRR, March, 2026

The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project.

Huamin Chen, Xunzhuo Liu, Bowei He, Fuyuan Lyu, Yankai Chen, Xue Liu, Yuhan Liu, Junchen Jiang

CoRR, March, 2026

Conflict-Free Policy Languages for Probabilistic ML Predicates: A Framework and Case Study with the Semantic Router DSL.

Xunzhuo Liu, Hao Wu, Huamin Chen, Bowei He, Xue Liu

CoRR, March, 2026

The 1/W Law: An Analytical Study of Context-Length Routing Topology and GPU Generation Gains for LLM Inference Energy Efficiency.

Huamin Chen, Xunzhuo Liu, Yuhan Liu, Junchen Jiang, Bowei He, Xue Liu

CoRR, March, 2026

FleetOpt: Analytical Fleet Provisioning for LLM Inference with Compress-and-Route as Implementation Mechanism.

Huamin Chen, Xunzhuo Liu, Yuhan Liu, Junchen Jiang, Bowei He, Xue Liu

CoRR, March, 2026

inference-fleet-sim: A Queueing-Theory-Grounded Fleet Capacity Planner for LLM Inference.

Huamin Chen, Xunzhuo Liu, Yuhan Liu, Junchen Jiang, Bowei He, Xue Liu

CoRR, March, 2026

Visual Confused Deputy: Exploiting and Defending Perception Failures in Computer-Using Agents.

Xunzhuo Liu, Bowei He, Xue Liu, Andy Luo, Haichen Zhang, Huamin Chen

CoRR, March, 2026

Outcome-Aware Tool Selection for Semantic Routers: Latency-Constrained Learning Without LLM Inference.

Huamin Chen, Xunzhuo Liu, Junchen Jiang, Bowei He, Xue Liu

CoRR, March, 2026

Adaptive Vision-Language Model Routing for Computer Use Agents.

Xunzhuo Liu, Bowei He, Xue Liu, Andy Luo, Haichen Zhang, Huamin Chen

CoRR, March, 2026

98⨉ Faster LLM Routing Without a Dedicated GPU: Flash Attention, Prompt Compression, and Near-Streaming for the vLLM Semantic Router.

Xunzhuo Liu, Bowei He, Xue Liu, Andy Luo, Haichen Zhang, Huamin Chen

CoRR, March, 2026

Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation.

Bowei He, Yankai Chen, Xiaokun Zhang, Linghe Kong, Philip S. Yu, Xue Liu, Chen Ma

CoRR, February, 2026

Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration.

Bowei He, Minda Hu, Zenan Xu, Hongru Wang, Licheng Zong, Yankai Chen, Chen Ma, Xue Liu, Pluto Zhou, Irwin King

CoRR, February, 2026

Integrating Large Language Models Into Recommendation via Mutual Augmentation and Adaptive Aggregation.

Sichun Luo, Yuxuan Yao, Bowei He, Wei Shao, Jian Xu, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Hanxu Hou, Mingjie Zhan, Linqi Song

IEEE J. Sel. Top. Signal Process., January, 2026

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

Proceedings of the ACM Web Conference 2026, 2026

Have We Really Understood Collaborative Information? An Empirical Investigation.

Xiaokun Zhang, Zhaochun Ren, Bowei He, Ziqiang Cui, Chen Ma

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Scaling Mobile Agent Systems: From Capability Density to Collective Intelligence.

Bowei He

Proceedings of the 24th Annual International Conference on Mobile Systems, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

CoRR, November, 2025

Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models.

Shuqi Liu, Bowei He, Chen Ma, Linqi Song

IEEE J. Sel. Top. Signal Process., October, 2025

Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization.

Bowei He, Lihao Yin, Hui-Ling Zhen, Shuqi Liu, Han Wu, Xiaokun Zhang, Mingxuan Yuan, Chen Ma

CoRR, October, 2025

RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback.

Chunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, Hanchen Yang, Hoang H. Nguyen, Yue Zhou, Jie Yang, Jizhou Guo, Wenzhe Fan, Chin-Yuan Yeh, Panpan Meng, Liancheng Fang, Jinhu Qi, Wei-Chieh Huang, Zhengyao Gu, Yuwei Han, Langzhou He, Yuyao Yang, Yinghui Li, Hai-Tao Zheng, Xue Liu, Irwin King, Philip S. Yu

CoRR, October, 2025

Spatial CAPTCHA: Generatively Benchmarking Spatial Reasoning for Human-Machine Differentiation.

Arina Kharlamova, Bowei He, Chen Ma, Xue (Steve) Liu

CoRR, October, 2025

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation.

Sichun Luo, Bowei He, Haohan Zhao, Wei Shao, Yanlin Qi, Yinya Huang, Aojun Zhou, Yuxuan Yao, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song

ACM Trans. Inf. Syst., September, 2025

A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective.

Xiaokun Zhang, Bo Xu, Chenliang Li, Bowei He, Hongfei Lin, Chen Ma, Fenglong Ma

IEEE Trans. Knowl. Data Eng., August, 2025

CORE: Lossless Compression for Retrieval-Augmented LLMs via Reinforcement Learning.

Ziqiang Cui, Yunpeng Weng, Xing Tang, Peiyang Liu, Shiwei Li, Bowei He, Jiamin Chen, Xiuqiang He, Chen Ma

CoRR, August, 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, July, 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, Qi Qi, Xu Chen

IEEE Trans. Knowl. Data Eng., February, 2025

PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery.

Bowei He, Lihao Yin, Hui-Ling Zhen, Xiaokun Zhang, Mingxuan Yuan, Chen Ma

CoRR, February, 2025

1bit-Merging: Dynamic Quantized Merging for Large Language Models.

Shuqi Liu, Han Wu, Bowei He, Zehua Liu, Xiongwei Han, Mingxuan Yuan, Linqi Song

CoRR, February, 2025

OPTISHEAR: Towards Efficient and Adaptive Pruning of Large Language Models via Evolutionary Optimization.

Shuqi Liu, Bowei He, Han Wu, Linqi Song

CoRR, February, 2025

Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation.

Renqi Jia, Xiaokun Zhang, Bowei He, Qiannan Zhu, Weitao Xu, Jiehao Chen, Chen Ma

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

Counterfactual Multi-player Bandits for Explainable Recommendation Diversification.

Yansen Zhang, Bowei He, Xiaokun Zhang, Haolun Wu, Zexu Sun, Chen Ma

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation.

Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Shiwei Li, Peiyang Liu, Bowei He, Dugang Liu, Weihong Luo, Xiuqiang He, Chen Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models.

Shuqi Liu, Han Wu, Bowei He, Xiongwei Han, Mingxuan Yuan, Linqi Song

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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