Zhang, Bin

33 publications

ICLR 2026 Peak-Return Greedy Slicing: Subtrajectory Selection for Transformer-Based Offline RL Zhiwei Xu, Miduo Cui, Dapeng Li, Zhihao Liu, Haifeng Zhang, Hangyu Mao, Guoliang Fan, Bin Zhang

ICLR 2026 Towards Better Branching Policies: Leveraging the Sequential Nature of Branch-and-Bound Tree Ce Zhang, Bin Zhang, Guoliang Fan

AAAI 2025 Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation Dapeng Li, Na Lou, Zhiwei Xu, Bin Zhang, Guoliang Fan

IJCAI 2025 ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Kai Sun, Peibo Duan, Levin Kuhlmann, Beilun Wang, Bin Zhang

CVPR 2025 IndoorGS: Geometric Cues Guided Gaussian Splatting for Indoor Scene Reconstruction Cong Ruan, Yuesong Wang, Tao Guan, Bin Zhang, Lili Ju

TMLR 2025 QPO: Query-Dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning Yilun Kong, Hangyu Mao, Zhao Qi, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao

ICLRW 2025 Query-Dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao

AAAI 2025 RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations Bin Zhang, Jinggang Chen, Xiaoyang Qu, Guokuan Li, Kai Lu, Jiguang Wan, Jing Xiao, Jianzong Wang

ICML 2025 Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning Zhiwei Xu, Kun Hu, Xin Xin, Weiliang Meng, Yiwei Shi, Hangyu Mao, Bin Zhang, Dapeng Li, Jiangjin Yin

ICLRW 2024 Controlling Large Language Model-Based Agents for Large-Scale Decision-Making: An Actor-Critic Approach Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, Guoliang Fan, Lijuan Li

AAAI 2024 DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction Yiming Wang, Bin Zhang, Yujiao Tang

AAAI 2024 Online Boosting Adaptive Learning Under Concept Drift for Multistream Classification En Yu, Jie Lu, Bin Zhang, Guangquan Zhang

IJCAI 2024 PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang

ICML 2024 Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach Bin Zhang, Hangyu Mao, Lijuan Li, Zhiwei Xu, Dapeng Li, Rui Zhao, Guoliang Fan

ICLRW 2024 TPTU-V2: Boosting Task Planning and Tool Usage of Large Language Model-Based Agents in Real-World Systems Yilun Kong, Jingqing Ruan, YiHong Chen, Bin Zhang, Tianpeng Bao, Shi Shiwei, Du Guo Qing, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, Xueqian Wang

IJCAI 2024 Task-Agnostic Self-Distillation for Few-Shot Action Recognition Bin Zhang, Yuanjie Dang, Peng Chen, Ronghua Liang, Nan Gao, Ruohong Huan, Xiaofei He

AAAI 2023 Consensus Learning for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, Hao Chen, Guoliang Fan

NeurIPS 2023 Dual Self-Awareness Value Decomposition Framework Without Individual Global Max for Cooperative MARL Zhiwei Xu, Bin Zhang, Dapeng Li, Guangchong Zhou, Zeren Zhang, Guoliang Fan

AAAI 2023 HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism Zhiwei Xu, Yunpeng Bai, Bin Zhang, Dapeng Li, Guoliang Fan

IJCAI 2023 Inducing Stackelberg Equilibrium Through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning Bin Zhang, Lijuan Li, Zhiwei Xu, Dapeng Li, Guoliang Fan

NeurIPSW 2023 TPTU: Task Planning and Tool Usage of Large Language Model-Based AI Agents Jingqing Ruan, YiHong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Du Guo Qing, Shi Shiwei, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao

AISTATS 2023 Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations Xun Zhu, Yutong Xiong, Ming Wu, Gaozhen Nie, Bin Zhang, Ziheng Yang

NeurIPSW 2022 A Simple Hypergraph Kernel Convolution Based on Discounted Markov Diffusion Process Fuyang Li, Jiying Zhang, Xi Xiao, Bin Zhang, Dijun Luo

CVPR 2022 ELSR: Efficient Line Segment Reconstruction with Planes and Points Guidance Dong Wei, Yi Wan, Yongjun Zhang, Xinyi Liu, Bin Zhang, Xiqi Wang

NeurIPS 2022 Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu, Dapeng Li, Bin Zhang, Yuan Zhan, Yunpeng Baiia, Guoliang Fan

AAAI 2022 SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu

AAAI 2021 Fast Multi-View Discrete Clustering with Anchor Graphs Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie

CVPR 2021 Learning the Superpixel in a Non-Iterative and Lifelong Manner Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu

ECCVW 2020 Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection Yuan Feng, Xiaodi Wang, Ying Xin, Bin Zhang, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han

CVPR 2020 Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia

ECCVW 2020 The 1st Tiny Object Detection Challenge: Methods and Results Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi

IJCAI 2009 Preference Learning with Extreme Examples Fei Wang, Bin Zhang, Ta-Hsin Li, Wen Jun Yin, Jin Dong, Tao Li

AAAI 2008 Classification by Discriminative Regularization Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin Dong