Fang, Meng

53 publications

ICLR 2025 HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents Tristan Tomilin, Meng Fang, Mykola Pechenizkiy

TMLR 2025 MACCA: Offline Multi-Agent Reinforcement Learning with Causal Credit Assignment Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang

ICLR 2025 Monte Carlo Planning with Large Language Model for Text-Based Game Agents Zijing Shi, Meng Fang, Ling Chen

NeurIPS 2025 MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining Zhixun Chen, Ping Guo, Wenhan Han, Yifan Zhang, Binbinliu, Haobin Lin, Fengze Liu, Yan Zhao, Bingni Zhang, Taifeng Wang, Yin Zheng, Trevor Cohn, Meng Fang

ICML 2025 Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization Yucheng Yang, Tianyi Zhou, Mykola Pechenizkiy, Meng Fang

ICLR 2025 RuAG: Learned-Rule-Augmented Generation for Large Language Models Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

ICLR 2025 Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling Jiawei Xu, Rui Yang, Shuang Qiu, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han

ICLR 2025 Towards Empowerment Gain Through Causal Structure Learning in Model-Based Reinforcement Learning Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao

NeurIPSW 2024 A Causality-Inspired Spatial-Temporal Return Decomposition Approach for Multi-Agent Reinforcement Learning Yudi Zhang, Yali Du, Biwei Huang, Meng Fang, Mykola Pechenizkiy

ICLR 2024 Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi

TMLR 2024 GOPlan: Goal-Conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana

AAAI 2024 Human-Guided Moral Decision Making in Text-Based Games Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang

AAAI 2024 Large Language Models Are Neurosymbolic Reasoners Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang

NeurIPS 2024 Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang

NeurIPSW 2024 MACCA: Offline Multi-Agent Reinforcement Learning with Causal Credit Assignment Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang

NeurIPS 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting Xiong-Hui Chen, Ziyan Wang, Yali Du, Shengyi Jiang, Meng Fang, Yang Yu, Jun Wang

AAAI 2024 Representation-Based Robustness in Goal-Conditioned Reinforcement Learning Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan

ICLR 2024 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang

ICMLW 2024 Towards Empowerment Gain Through Causal Structure Learning in Model-Based RL Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Jing Huo, Yang Gao

ICML 2023 Are Large Kernels Better Teachers than Transformers for ConvNets? Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu

NeurIPS 2023 COOM: A Game Benchmark for Continual Reinforcement Learning Tristan Tomilin, Meng Fang, Yudi Zhang, Mykola Pechenizkiy

NeurIPS 2023 Dynamic Sparsity Is Channel-Level Sparsity Learner Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang "Atlas" Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu

ECML-PKDD 2023 Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi

ECML-PKDD 2023 Enhancing Adversarial Training via Reweighting Optimization Trajectory Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy

NeurIPSW 2023 GOPlan: Goal-Conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang, Rui Yang, Xi Chen, Meng Fang

NeurIPS 2023 Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy

AAAI 2023 Lottery Pools: Winning More by Interpolating Tickets Without Increasing Training or Inference Cost Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy

ECML-PKDD 2023 REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training Jiaxu Zhao, Lu Yin, Shiwei Liu, Meng Fang, Mykola Pechenizkiy

ICLR 2023 Stay Moral and Explore: Learn to Behave Morally in Text-Based Games Zijing Shi, Meng Fang, Yunqiu Xu, Ling Chen, Yali Du

NeurIPSW 2022 Constrained MDPs Can Be Solved by Eearly-Termination with Recurrent Models Hao Sun, Ziping Xu, Zhenghao Peng, Meng Fang, Taiyi Wang, Bo Dai, Bolei Zhou

NeurIPSW 2022 MOPA: A Minimalist Off-Policy Approach to Safe-RL Hao Sun, Ziping Xu, Zhenghao Peng, Meng Fang, Bo Dai, Bolei Zhou

ICLR 2022 Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang

UAI 2022 Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy

NeurIPSW 2022 Supervised Q-Learning Can Be a Strong Baseline for Continuous Control Hao Sun, Ziping Xu, Meng Fang, Bolei Zhou

NeurIPSW 2022 Supervised Q-Learning for Continuous Control Hao Sun, Ziping Xu, Taiyi Wang, Meng Fang, Bolei Zhou

LoG 2022 You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu

NeurIPSW 2021 MHER: Model-Based Hindsight Experience Replay Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li

AAAI 2021 REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang

NeurIPS 2020 Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-Based Games Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang

AAAI 2020 Unsupervised Domain Adaptation on Reading Comprehension Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou

NeurIPS 2019 Curriculum-Guided Hindsight Experience Replay Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang

ICLR 2019 DHER: Hindsight Experience Replay for Dynamic Goals Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang

AAAI 2019 Inter-Class Angular Loss for Convolutional Neural Networks Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang

NeurIPS 2019 LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao

IJCAI 2018 Teaching Semi-Supervised Classifier via Generalized Distillation Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang

IJCAI 2016 Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Meng Fang, Shirui Pan

AAAI 2016 Linear Submodular Bandits with a Knapsack Constraint Baosheng Yu, Meng Fang, Dacheng Tao

ECCV 2016 Multi-Label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Meng Fang, Dacheng Tao

AAAI 2016 Submodular Asymmetric Feature Selection in Cascade Object Detection Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin

CVPR 2015 Saliency Propagation from Simple to Difficult Chen Gong, Dacheng Tao, Wei Liu, Stephen J. Maybank, Meng Fang, Keren Fu, Jie Yang

AAAI 2014 Active Learning for Crowdsourcing Using Knowledge Transfer Meng Fang, Jie Yin, Dacheng Tao

ECML-PKDD 2013 Knowledge Transfer for Multi-Labeler Active Learning Meng Fang, Jie Yin, Xingquan Zhu

AAAI 2012 Active Learning from Oracle with Knowledge Blind Spot Meng Fang, Xingquan Zhu, Chengqi Zhang