Bowei He - RankMe

88 papers A* 12A 8Misc 1Journal 62Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	98⨉ Faster LLM Routing Without a Dedicated GPU: Flash Attention, Prompt Compression, and Near-Streaming for the vLLM Semantic Router. CoRR Xunzhuo Liu, Bowei He, Xue Liu, Andy Luo, Haichen Zhang, Huamin Chen
2026	J	`jnl`	Adaptive Vision-Language Model Routing for Computer Use Agents. CoRR Xunzhuo Liu, Bowei He, Xue Liu, Andy Luo, Haichen Zhang, Huamin Chen
2026	J	`jnl`	Conflict-Free Policy Languages for Probabilistic ML Predicates: A Framework and Case Study with the Semantic Router DSL. CoRR Xunzhuo Liu, Hao Wu, Huamin Chen, Bowei He, Xue Liu
2026	J	`jnl`	Fast and Faithful: Real-Time Verification for Long-Document Retrieval-Augmented Generation Systems. CoRR Xunzhuo Liu, Bowei He, Xue Liu, Haichen Zhang, Huamin Chen
2026	J	`jnl`	FleetOpt: Analytical Fleet Provisioning for LLM Inference with Compress-and-Route as Implementation Mechanism. CoRR Huamin Chen, Xunzhuo Liu, Yuhan Liu, Junchen Jiang, Bowei He, Xue Liu
2026	J	`jnl`	From Inference Routing to Agent Orchestration: Declarative Policy Compilation with Cross-Layer Verification. CoRR Huamin Chen, Xunzhuo Liu, Bowei He, Xue Liu
2026	A*	`conf`	From Token to Item: Enhancing Large Language Models for Recommendation via Item-aware Attention Mechanism. WWW Xiaokun Zhang, Bowei He, Jiamin Chen, Ziqiang Cui, Chen Ma
2026	J	`jnl`	From Token to Item: Enhancing Large Language Models for Recommendation via Item-aware Attention Mechanism. CoRR Xiaokun Zhang, Bowei He, Jiamin Chen, Ziqiang Cui, Chen Ma
2026	A	`conf`	Have We Really Understood Collaborative Information? An Empirical Investigation. WSDM Xiaokun Zhang, Zhaochun Ren, Bowei He, Ziqiang Cui, Chen Ma
2026	J	`jnl`	Integrating Large Language Models Into Recommendation via Mutual Augmentation and Adaptive Aggregation. IEEE J. Sel. Top. Signal Process. Sichun Luo, Yuxuan Yao, Bowei He, Wei Shao, Jian Xu, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Hanxu Hou, Mingjie Zhan, Linqi Song
2026	J	`jnl`	Knowledge Access Beats Model Size: Memory Augmented Routing for Persistent AI Agents. CoRR Xunzhuo Liu, Bowei He, Xue Liu, Andy Luo, Haichen Zhang, Huamin Chen
2026	J	`jnl`	Outcome-Aware Tool Selection for Semantic Routers: Latency-Constrained Learning Without LLM Inference. CoRR Huamin Chen, Xunzhuo Liu, Junchen Jiang, Bowei He, Xue Liu
2026	J	`jnl`	Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation. CoRR Bowei He, Yankai Chen, Xiaokun Zhang, Linghe Kong, Philip S. Yu, Xue Liu, Chen Ma
2026	J	`jnl`	Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models. CoRR Shuqi Liu, Bowei He, Chen Ma, Linqi Song
2026	J	`jnl`	Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration. CoRR Bowei He, Minda Hu, Zenan Xu, Hongru Wang, Licheng Zong, Yankai Chen, Chen Ma, Xue Liu, Pluto Zhou, Irwin King
2026	A*	`conf`	S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening. AAAI Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma
2026	J	`jnl`	The 1/W Law: An Analytical Study of Context-Length Routing Topology and GPU Generation Gains for LLM Inference Energy Efficiency. CoRR Huamin Chen, Xunzhuo Liu, Yuhan Liu, Junchen Jiang, Bowei He, Xue Liu
2026	J	`jnl`	The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project. CoRR Huamin Chen, Xunzhuo Liu, Bowei He, Fuyuan Lyu, Yankai Chen, Xue Liu, Yuhan Liu, Junchen Jiang
2026	J	`jnl`	Visual Confused Deputy: Exploiting and Defending Perception Failures in Computer-Using Agents. CoRR Xunzhuo Liu, Bowei He, Xue Liu, Andy Luo, Haichen Zhang, Huamin Chen
2026	J	`jnl`	inference-fleet-sim: A Queueing-Theory-Grounded Fleet Capacity Planner for LLM Inference. CoRR Huamin Chen, Xunzhuo Liu, Yuhan Liu, Junchen Jiang, Bowei He, Xue Liu
2025	J	`jnl`	1bit-Merging: Dynamic Quantized Merging for Large Language Models. CoRR Shuqi Liu, Han Wu, Bowei He, Zehua Liu, Xiongwei Han, Mingxuan Yuan, Linqi Song
2025	J	`jnl`	A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective. IEEE Trans. Knowl. Data Eng. Xiaokun Zhang, Bo Xu, Chenliang Li, Bowei He, Hongfei Lin, Chen Ma, Fenglong Ma
2025	J	`jnl`	A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective. CoRR Xiaokun Zhang, Bo Xu, Chenliang Li, Bowei He, Hongfei Lin, Chen Ma, Fenglong Ma
2025	J	`jnl`	An attention-aware GNN-based input defender against multi-turn jailbreak on LLMs. CoRR Zixuan Huang, Kecheng Huang, Lihao Yin, Bowei He, Hui-Ling Zhen, Mingxuan Yuan, Zili Shao
2025	A	`conf`	Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation. SDM Renqi Jia, Xiaokun Zhang, Bowei He, Qiannan Zhu, Weitao Xu, Jiehao Chen, Chen Ma
2025	J	`jnl`	Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation. CoRR Renqi Jia, Xiaokun Zhang, Bowei He, Qiannan Zhu, Weitao Xu, Jiehao Chen, Chen Ma
2025	J	`jnl`	CORE: Lossless Compression for Retrieval-Augmented LLMs via Reinforcement Learning. CoRR Ziqiang Cui, Yunpeng Weng, Xing Tang, Peiyang Liu, Shiwei Li, Bowei He, Jiamin Chen, Xiuqiang He, Chen Ma
2025	A*	`conf`	Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks. ICLR Bowei He, Lihao Yin, Hui-Ling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma
2025	J	`jnl`	Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks. CoRR Bowei He, Lihao Yin, Hui-Ling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma
2025	—	`conf`	Counterfactual Multi-player Bandits for Explainable Recommendation Diversification. ECML/PKDD (6) Yansen Zhang, Bowei He, Xiaokun Zhang, Haolun Wu, Zexu Sun, Chen Ma
2025	J	`jnl`	Counterfactual Multi-player Bandits for Explainable Recommendation Diversification. CoRR Yansen Zhang, Bowei He, Xiaokun Zhang, Haolun Wu, Zexu Sun, Chen Ma
2025	J	`jnl`	Have We Really Understood Collaborative Information? An Empirical Investigation. CoRR Xiaokun Zhang, Zhaochun Ren, Bowei He, Ziqiang Cui, Chen Ma
2025	A*	`conf`	NILE: Internal Consistency Alignment in Large Language Models. EMNLP Minda Hu, Qiyuan Zhang, Yufei Wang, Bowei He, Hongru Wang, Jingyan Zhou, Liangyou Li, Yasheng Wang, Chen Ma, Irwin King
2025	J	`jnl`	OPTISHEAR: Towards Efficient and Adaptive Pruning of Large Language Models via Evolutionary Optimization. CoRR Shuqi Liu, Bowei He, Han Wu, Linqi Song
2025	J	`jnl`	PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery. CoRR Bowei He, Lihao Yin, Hui-Ling Zhen, Xiaokun Zhang, Mingxuan Yuan, Chen Ma
2025	J	`jnl`	Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization. CoRR Bowei He, Lihao Yin, Hui-Ling Zhen, Shuqi Liu, Han Wu, Xiaokun Zhang, Mingxuan Yuan, Chen Ma
2025	J	`jnl`	RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback. CoRR 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
2025	J	`jnl`	Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models. IEEE J. Sel. Top. Signal Process. Shuqi Liu, Bowei He, Chen Ma, Linqi Song
2025	J	`jnl`	RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. ACM Trans. Inf. Syst. Sichun Luo, Bowei He, Haohan Zhao, Wei Shao, Yanlin Qi, Yinya Huang, Aojun Zhou, Yuxuan Yao, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song
2025	J	`jnl`	S CoRR Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma
2025	J	`jnl`	Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation. CoRR Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Dugang Liu, Shiwei Li, Peiyang Liu, Bowei He, Weihong Luo, Xiuqiang He, Chen Ma
2025	—	`conf`	Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models. ACL (Findings) Shuqi Liu, Han Wu, Bowei He, Xiongwei Han, Mingxuan Yuan, Linqi Song
2025	J	`jnl`	Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models. CoRR Shuqi Liu, Han Wu, Bowei He, Xiongwei Han, Mingxuan Yuan, Linqi Song
2025	J	`jnl`	Sequential Causal Effect Estimation by Jointly Modeling the Unmeasured Confounders and Instrumental Variables. IEEE Trans. Knowl. Data Eng. Zexu Sun, Bowei He, Shiqi Shen, Zhipeng Wang, Zhi Gong, Chen Ma, Qi Qi, Xu Chen
2025	J	`jnl`	Spatial CAPTCHA: Generatively Benchmarking Spatial Reasoning for Human-Machine Differentiation. CoRR Arina Kharlamova, Bowei He, Chen Ma, Xue (Steve) Liu
2024	—	`conf`	Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining. ACL (Findings) Shuqi Liu, Bowei He, Linqi Song
2024	J	`jnl`	Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining. CoRR Shuqi Liu, Bowei He, Linqi Song
2024	A	`conf`	Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning. CIKM Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma
2024	J	`jnl`	Diffusion-based Contrastive Learning for Sequential Recommendation. CoRR Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma
2024	J	`jnl`	Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation. CoRR Sichun Luo, Yuxuan Yao, Bowei He, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Mingjie Zhan, Linqi Song
2024	A	`conf`	Interpretable Triplet Importance for Personalized Ranking. CIKM Bowei He, Chen Ma
2024	J	`jnl`	Interpretable Triplet Importance for Personalized Ranking. CoRR Bowei He, Chen Ma
2024	J	`jnl`	Mitigating Large Language Model Hallucination with Faithful Finetuning. CoRR Minda Hu, Bowei He, Yufei Wang, Liangyou Li, Chen Ma, Irwin King
2024	J	`jnl`	NILE: Internal Consistency Alignment in Large Language Models. CoRR Minda Hu, Qiyuan Zhang, Yufei Wang, Bowei He, Hongru Wang, Jingyan Zhou, Liangyou Li, Yasheng Wang, Chen Ma, Irwin King
2024	A*	`conf`	No Time to Train: Empowering Non-Parametric Networks for Few-Shot 3D Scene Segmentation. CVPR Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Han Xiao, Chaoyou Fu, Hao Dong, Peng Gao
2024	J	`jnl`	No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation. CoRR Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Han Xiao, Chaoyou Fu, Hao Dong, Peng Gao
2024	J	`jnl`	Privacy in LLM-based Recommendation: Recent Advances and Future Directions. CoRR Sichun Luo, Wei Shao, Yuxuan Yao, Jian Xu, Mingyang Liu, Qintong Li, Bowei He, Maolin Wang, Guanzhi Deng, Hanxu Hou, Xinyi Zhang, Linqi Song
2024	A*	`conf`	Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. KDD Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma
2024	J	`jnl`	Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. CoRR Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma
2024	J	`jnl`	Result Diversification in Search and Recommendation: A Survey. IEEE Trans. Knowl. Data Eng. Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, Bhaskar Mitra, Xue Liu
2024	A	`conf`	Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. SDM Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma
2024	J	`jnl`	Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. CoRR Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma
2023	A	`conf`	Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. ICME Yinan Mao, Bowei He, Shiji Zhou, Chen Ma, Zhi Wang
2023	J	`jnl`	Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. CoRR Bowei He, Yinan Mao, Shiji Zhou, Chen Ma, Zhi Wang
2023	A	`conf`	Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. CIKM Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma
2023	J	`jnl`	Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. CoRR Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma
2023	A*	`conf`	Dynamically Expandable Graph Convolution for Streaming Recommendation. WWW Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma
2023	J	`jnl`	Dynamically Expandable Graph Convolution for Streaming Recommendation. CoRR Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma
2023	J	`jnl`	Less is More: Towards Efficient Few-shot 3D Semantic Segmentation via Training-free Networks. CoRR Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Hao Dong, Peng Gao
2023	A	`conf`	MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. UAI Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma
2023	Misc	`conf`	Mutually Guided Few-Shot Learning For Relational Triple Extraction. ICASSP Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He
2023	J	`jnl`	Mutually Guided Few-shot Learning for Relational Triple Extraction. CoRR Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He
2023	A*	`conf`	Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. ICCV Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao
2023	J	`jnl`	Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. CoRR Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao
2023	A*	`conf`	Offline Imitation Learning with Variational Counterfactual Reasoning. NeurIPS Zexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang
2023	A*	`conf`	PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning. ICCV Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Ziyao Zeng, Zipeng Qin, Shanghang Zhang, Peng Gao
2023	J	`jnl`	RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. CoRR Sichun Luo, Bowei He, Haohan Zhao, Yinya Huang, Aojun Zhou, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song
2023	A*	`conf`	Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. ICDM Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu
2023	J	`jnl`	Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. CoRR Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu
2023	A*	`conf`	Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. ICDE Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
2023	J	`jnl`	Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. CoRR Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
2023	J	`jnl`	Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. CoRR Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan
2022	J	`jnl`	Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems. CoRR Zhenting Zhao, Bowei He, Wenhao Luo, Rui Liu
2022	J	`jnl`	Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems. IEEE Robotics Autom. Lett. Zhenting Zhao, Bowei He, Wenhao Luo, Rui Liu
2022	J	`jnl`	PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning. CoRR Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyao Zeng, Shanghang Zhang, Peng Gao
2016	J	`jnl`	Expenditure Aware Rating Prediction for Recommendation. CoRR Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu
2016	—	`conf`	Expenditure aware rating prediction for recommendation. IEEE BigData Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu, Naiwang Guo
2012	—	`conf`	Personalized Friend Recommendation in Social Network Based on Clustering Method. ISICA Zhiwei Deng, Bowei He, Chengchi Yu, Yuxiang Chen