Fu, Qiang

61 publications

AAAI 2025 An Open-Ended Learning Framework for Opponent Modeling Yuheng Jing, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

ICLR 2025 Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Kong Hansheng, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Yang Wei, Haobo Fu

ICML 2025 Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

NeurIPS 2025 Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time Qiang Fu, Andre Wibisono

CVPR 2025 Latent Space Imaging Matheus Souza, Yidan Zheng, Kaizhang Kang, Yogeshwar Nath Mishra, Qiang Fu, Wolfgang Heidrich

CVPR 2025 Learned Binocular-Encoding Optics for RGBD Imaging Using Joint Stereo and Focus Cues Yuhui Liu, Liangxun Ou, Qiang Fu, Hadi Amata, Wolfgang Heidrich, Yifan Peng

AISTATS 2025 Learning Identifiable Structures Helps Avoid Bias in DNN-Based Supervised Causal Learning Jiaru Zhang, Rui Ding, Qiang Fu, Huang Bojun, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang

ICML 2025 MCU: An Evaluation Framework for Open-Ended Game Agents Xinyue Zheng, Haowei Lin, Kaichen He, Zihao Wang, Qiang Fu, Haobo Fu, Zilong Zheng, Yitao Liang

ICML 2025 Offline Opponent Modeling with Truncated Q-Driven Instant Policy Refinement Yuheng Jing, Kai Li, Bingyun Liu, Ziwen Zhang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

ICLR 2025 Online-to-Offline RL for Agent Alignment Xu Liu, Haobo Fu, Stefano V Albrecht, Qiang Fu, Shuai Li

NeurIPS 2025 TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs Yuxiang Zhang, Zhengxu Yu, Weihang Pan, Zhongming Jin, Qiang Fu, Deng Cai, Binbin Lin, Jieping Ye

UAI 2025 Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation Canzhe Zhao, Shuze Chen, Weiming Liu, Haobo Fu, Qiang Fu, Shuai Li

TMLR 2024 Affordable Generative Agents Yangbin Yu, Qin Zhang, Junyou Li, Qiang Fu, Deheng Ye

ICLR 2024 Dynamic Discounted Counterfactual Regret Minimization Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

NeurIPS 2024 Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

ICLR 2024 Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain Yiming Gao, Feiyu Liu, Liang Wang, Dehua Zheng, Zhenjie Lian, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, Qiang Fu, Yang Wei, Lanxiao Huang, Wei Liu

WACV 2024 Longformer: Longitudinal Transformer for Alzheimer's Disease Classification with Structural MRIs Qiuhui Chen, Qiang Fu, Hao Bai, Yi Hong

ICLR 2024 Maximum Entropy Heterogeneous-Agent Reinforcement Learning Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang

ICML 2024 Mean-Field Underdamped Langevin Dynamics and Its Spacetime Discretization Qiang Fu, Ashia Camage Wilson

IJCAI 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

TMLR 2024 More Agents Is All You Need Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye

AAAI 2024 Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

NeurIPS 2024 Opponent Modeling with In-Context Search Yuheng Jing, Bingyun Liu, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

AAAI 2024 Text-to-Image Generation for Abstract Concepts Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang

ICLR 2024 Towards Offline Opponent Modeling with In-Context Learning Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

NeurIPS 2023 A Robust and Opponent-Aware League Training Method for StarCraft II Ruozi Huang, Xipeng Wu, Hongsheng Yu, Zhong Fan, Haobo Fu, Qiang Fu, Wei Yang

ICML 2023 Accelerated Stochastic Optimization Methods Under Quasar-Convexity Qiang Fu, Dongchu Xu, Ashia Camage Wilson

NeurIPS 2023 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

IJCAI 2023 Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice Towards Powerful Attention Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song

ICLR 2023 Curriculum-Based Co-Design of Morphology and Control of Voxel-Based Soft Robots Yuxing Wang, Shuang Wu, Haobo Fu, Qiang Fu, Tiantian Zhang, Yongzhe Chang, Xueqian Wang

NeurIPSW 2023 Diversity from Human Feedback Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian

ICLR 2023 Does Deep Learning Learn to Abstract? a Systematic Probing Framework Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou

ICML 2023 Future-Conditioned Unsupervised Pretraining for Decision Transformer Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li

NeurIPS 2023 Hokoff: Real Game Dataset from Honor of Kings and Its Offline Reinforcement Learning Benchmarks Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Liu Linc, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji

IJCAI 2023 Multi-Objective Optimization-Based Selection for Quality-Diversity by Non-Surrounded-Dominated Sorting Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu

ICML 2023 Opponent-Limited Online Search for Imperfect Information Games Weiming Liu, Haobo Fu, Qiang Fu, Yang Wei

ICLR 2023 Out-of-Distribution Detection Based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang

NeurIPS 2023 Policy Space Diversity for Non-Transitive Games Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang

CoRL 2023 PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, Xueqian Wang

ICLR 2023 Quality-Similar Diversity via Population Based Reinforcement Learning Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Yang Wei

TMLR 2023 RLTF: Reinforcement Learning from Unit Test Feedback Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Yang Wei, Deheng Ye

AAAI 2023 RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang

ICLR 2023 Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Yang Wei, Lanxiao Huang, Wei Liu

ICLR 2022 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Yang Wei

AAAI 2022 AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing

ICML 2022 BabelTower: Learning to Auto-Parallelized Program Translation Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen

ICML 2022 Greedy When Sure and Conservative When Uncertain About the Opponents Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang

NeurIPS 2022 Honor of Kings Arena: An Environment for Generalization in Competitive Reinforcement Learning Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Liu Linc, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang

IJCAI 2022 JueWu-MC: Playing Minecraft with Sample-Efficient Hierarchical Reinforcement Learning Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang

NeurIPS 2022 Neuron with Steady Response Leads to Better Generalization Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang

IJCAI 2021 Boosting Offline Reinforcement Learning with Residual Generative Modeling Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li

IJCAI 2021 Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen

NeurIPS 2021 Learning Diverse Policies in MOBA Games via Macro-Goals Yiming Gao, Bei Shi, Xueying Du, Liang Wang, Guangwei Chen, Zhenjie Lian, Fuhao Qiu, Guoan Han, Weixuan Wang, Deheng Ye, Qiang Fu, Wei Yang, Lanxiao Huang

IJCAI 2021 MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang

CVPR 2021 Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging Ilya Chugunov, Seung-Hwan Baek, Qiang Fu, Wolfgang Heidrich, Felix Heide

ICCV 2021 Multispectral Illumination Estimation Using Deep Unrolling Network Yuqi Li, Qiang Fu, Wolfgang Heidrich

AAAI 2020 Mastering Complex Control in MOBA Games with Deep Reinforcement Learning Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang

NeurIPS 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu

IJCAI 2018 Complementary Binary Quantization for Joint Multiple Indexing Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng

ICCV 2017 Catadioptric HyperSpectral Light Field Imaging Yujia Xue, Kang Zhu, Qiang Fu, Xilin Chen, Jingyi Yu

UAI 2013 Bethe-ADMM for Tree Decomposition Based Parallel MAP Inference Qiang Fu, Huahua Wang, Arindam Banerjee