Dynamic Reconfiguration of Two-Level Caches in Soft Real-Time Embedded Systems. - Weixun Wang; Prabhat Mishra 001 (ISVLSI, 2009)

SACR: Scheduling-Aware Cache Reconfiguration for Real-Time Embedded Systems. - Weixun Wang; Prabhat Mishra 001; Ann Gordon-Ross (VLSI Design, 2009)

PreDVS: preemptive dynamic voltage scaling for real-time systems using approximation scheme. - Weixun Wang; Prabhat Mishra 001 (DAC, 2010)

Temperature- and energy-constrained scheduling in multitasking systems: a model checking approach. - Weixun Wang; Xiaoke Qin; Prabhat Mishra 001 (ISLPED, 2010)

Leakage-Aware Energy Minimization Using Dynamic Voltage Scaling and Cache Reconfiguration in Real-Time Systems. - Weixun Wang; Prabhat Mishra 001 (VLSI Design, 2010)

Dynamic cache reconfiguration and partitioning for energy optimization in real-time multi-core systems. - Weixun Wang; Prabhat Mishra 001; Sanjay Ranka (DAC, 2011)

A General Algorithm for Energy-Aware Dynamic Reconfiguration in Multitasking Systems. - Weixun Wang; Sanjay Ranka; Prabhat Mishra 001 (VLSI Design, 2011)

Dynamic Reconfiguration of Two-Level Cache Hierarchy in Real-Time Embedded Systems. - Weixun Wang; Prabhat Mishra 001 (J. Low Power Electron., 2011)

Energy-aware dynamic reconfiguration algorithms for real-time multitasking systems. - Weixun Wang; Sanjay Ranka; Prabhat Mishra 001 (Sustain. Comput. Informatics Syst., 2011)

A Novel Approach for Handling Misbehaving Nodes in Behavior-Aware Mobile Networking - Kanad Basu; Subrata Mitra; Srishti Mukherjee; Weixun Wang (CoRR, 2012)

Energy-aware dynamic slack allocation for real-time multitasking systems. - Weixun Wang; Sanjay Ranka; Prabhat Mishra 001 (Sustain. Comput. Informatics Syst., 2012)

TCEC: Temperature and Energy-Constrained Scheduling in Real-Time Multitasking Systems. - Xiaoke Qin; Weixun Wang; Prabhat Mishra 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012)

Dynamic Cache Reconfiguration for Soft Real-Time Systems. - Weixun Wang; Prabhat Mishra 001; Ann Gordon-Ross (ACM Trans. Embed. Comput. Syst., 2012)

System-Wide Leakage-Aware Energy Minimization Using Dynamic Voltage Scaling and Cache Reconfiguration in Multitasking Systems. - Weixun Wang; Prabhat Mishra 001 (IEEE Trans. Very Large Scale Integr. Syst., 2012)

Energy-Aware Scheduling and Dynamic Reconfiguration in Real-Time Systems. - Weixun Wang; Xiaoke Qin; Prabhat Mishra 001 (Handbook of Energy-Aware and Green Computing, 2012)

Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach. - Weixun Wang; Jianye Hao; Yixi Wang; Matthew E. Taylor (CoRR, 2018)

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. - Weixun Wang; Junqi Jin; Jianye Hao; Chunjie Chen 004; Chuan Yu; Weinan Zhang 001; Jun Wang 012; Yixi Wang; Han Li 005; Jian Xu 015; Kun Gai (CoRR, 2018)

Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. - Xiaotian Hao; Weixun Wang; Jianye Hao; Yaodong Yang 002 (AAMAS, 2019)

Learning Adaptive Display Exposure for Real-Time Advertising. - Weixun Wang; Junqi Jin; Jianye Hao; Chunjie Chen 004; Chuan Yu; Weinan Zhang 001; Jun Wang 012; Xiaotian Hao; Yixi Wang; Han Li 005; Jian Xu 015; Kun Gai (CIKM, 2019)

Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas. - Weixun Wang; Jianye Hao; Yixi Wang; Matthew E. Taylor (DAI, 2019)

Multi-Agent Game Abstraction via Graph Attention Neural Network. - Yong Liu 007; Weixun Wang; Yujing Hu; Jianye Hao; Xingguo Chen; Yang Gao 001 (AAAI, 2020)

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. - Weixun Wang; Tianpei Yang; Yong Liu 007; Jianye Hao; Xiaotian Hao; Yujing Hu; Yingfeng Chen; Changjie Fan; Yang Gao 001 (AAAI, 2020)

Efficient Deep Reinforcement Learning through Policy Transfer. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Zongzhang Zhang; Yujing Hu; Yingfeng Chen; Changjie Fan; Weixun Wang; Zhaodong Wang; Jiajie Peng (AAMAS, 2020)

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. - Weixun Wang; Tianpei Yang; Yong Liu 007; Jianye Hao; Xiaotian Hao; Yujing Hu; Yingfeng Chen; Changjie Fan; Yang Gao 001 (ICLR, 2020)

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. - Xiaotian Hao; Junqi Jin; Jianye Hao; Jin Li; Weixun Wang; Yi Ma 005; Zhenzhe Zheng; Han Li 005; Jian Xu 015; Kun Gai (IJCAI, 2020)

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Zongzhang Zhang; Yujing Hu; Yingfeng Chen; Changjie Fan; Weixun Wang; Wulong Liu; Zhaodong Wang; Jiajie Peng (IJCAI, 2020)

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. - Peng Zhang; Jianye Hao; Weixun Wang; Hongyao Tang; Yi Ma 005; Yihai Duan; Yan Zheng 002 (IJCAI, 2020)

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. - Yujing Hu; Weixun Wang; Hangtian Jia; Yixiang Wang; Yingfeng Chen; Jianye Hao; Feng Wu 001; Changjie Fan (NeurIPS, 2020)

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. - Tianpei Yang; Weixun Wang; Hongyao Tang; Jianye Hao; Zhaopeng Meng; Wulong Liu; Yujing Hu; Yingfeng Chen (CoRR, 2020)

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. - Tianpei Yang; Weixun Wang; Hongyao Tang; Jianye Hao; Zhaopeng Meng; Hangyu Mao; Dong Li 016; Wulong Liu; Yingfeng Chen; Yujing Hu; Changjie Fan; Chengwei Zhang 001 (NeurIPS, 2021)

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. - Tianze Zhou; Fubiao Zhang; Kun Shao; Kai Li 022; Wenhan Huang; Jun Luo 009; Weixun Wang; Yaodong Yang 002; Hangyu Mao; Bin Wang 034; Dong Li 016; Wulong Liu; et al. (CoRR, 2021)

Individual Reward Assisted Multi-Agent Reinforcement Learning. - Li Wang; Yupeng Zhang; Yujing Hu; Weixun Wang; Chongjie Zhang; Yang Gao 001; Jianye Hao; Tangjie Lv; Changjie Fan (ICML, 2022)

Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. - Yaodong Yang 002; Guangyong Chen; Weixun Wang; Xiaotian Hao; Jianye Hao; Pheng-Ann Heng (NeurIPS, 2022)

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization. - Jian Zhao 018; Yue Zhang; Xunhan Hu; Weixun Wang; Wengang Zhou 001; Jianye Hao; Jiangcheng Zhu; Houqiang Li (CoRR, 2022)

API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. - Xiaotian Hao; Weixun Wang; Hangyu Mao; Yaodong Yang 002; Dong Li 016; Yan Zheng 002; Zhen Wang 004; Jianye Hao (CoRR, 2022)

A2C is a special case of PPO. - Shengyi Huang; Anssi Kanervisto; Antonin Raffin; Weixun Wang; Santiago Ontañón; Rousslan Fernand Julien Dossa (CoRR, 2022)

MARLlib: Extending RLlib for Multi-agent Reinforcement Learning. - Siyi Hu; Yifan Zhong; Minquan Gao; Weixun Wang; Hao Dong 003; Zhihui Li 001; Xiaodan Liang; Xiaojun Chang; Yaodong Yang 001 (CoRR, 2022)

Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents. - Jian Zhao 018; Youpeng Zhao; Weixun Wang; Mingyu Yang; Xunhan Hu; Wengang Zhou 001; Jianye Hao; Houqiang Li (Frontiers Inf. Technol. Electron. Eng., 2022)

Off-Beat Multi-Agent Reinforcement Learning. - Wei Qiu 001; Weixun Wang; Rundong Wang; Bo An 001; Yujing Hu; Svetlana Obraztsova; Zinovi Rabinovich; Jianye Hao; Yingfeng Chen; Changjie Fan (AAMAS, 2023)

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. - Jianye Hao; Xiaotian Hao; Hangyu Mao; Weixun Wang; Yaodong Yang 002; Dong Li 016; Yan Zheng 002; Zhen Wang 004 (ICLR, 2023)

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library. - Siyi Hu; Yifan Zhong; Minquan Gao; Weixun Wang; Hao Dong 003; Xiaodan Liang; Zhihui Li 001; Xiaojun Chang; Yaodong Yang 001 (J. Mach. Learn. Res., 2023)

ASN: action semantics network for multiagent reinforcement learning. - Tianpei Yang; Weixun Wang; Jianye Hao; Matthew E. Taylor; Yong Liu 007; Xiaotian Hao; Yujing Hu; Yingfeng Chen; Changjie Fan; Chunxu Ren; Ye Huang; Jiangcheng Zhu; et al. (Auton. Agents Multi Agent Syst., 2023)

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. - Jizhou Wu; Jianye Hao; Tianpei Yang; Xiaotian Hao; Yan Zheng 002; Weixun Wang; Matthew E. Taylor (AAAI, 2024)

The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization. - Shengyi Huang; Michael Noukhovitch; Arian Hosseini; Kashif Rasul; Weixun Wang; Lewis Tunstall (CoRR, 2024)

OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework. - Jian Hu; Xibin Wu; Weixun Wang; Xianyu; Dehao Zhang; Yu Cao (CoRR, 2024)

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. - Yancheng He; Shilong Li; Jiaheng Liu; Yingshui Tan; Weixun Wang; Hui Huang 021; Xingyuan Bu; Hangyu Guo; Chengwei Hu; Boren Zheng; Zhuoran Lin; Xuepeng Liu; et al. (CoRR, 2024)

Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. - Tianze Zhou; Fubiao Zhang; Kun Shao; Zipeng Dai; Kai Li 022; Wenhan Huang; Weixun Wang; Bin Wang 034; Dong Li 016; Wulong Liu; Jianye Hao (IEEE Trans. Games, 2024)

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. - Yancheng He; Shilong Li; Jiaheng Liu; Yingshui Tan; Weixun Wang; Hui Huang 021; Xingyuan Bu; Hangyu Guo; Chengwei Hu; Boren Zheng; Zhuoran Lin; Dekai Sun; et al. (ACL (1), 2025)

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? - Yancheng He; Shilong Li; Jiaheng Liu; Weixun Wang; Xingyuan Bu; Ge Zhang 009; Z. Y. Peng; Zhaoxiang Zhang 001; Zhicheng Zheng; Wenbo Su; Bo Zheng 007 (ACL (1), 2025)

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. - Shilong Li; Yancheng He; Hui Huang 021; Xingyuan Bu; Jiaheng Liu; Hangyu Guo; Weixun Wang; Jihao Gu; Wenbo Su; Bo Zheng 007 (NAACL (Findings), 2025)

ProgCo: Program Helps Self-Correction of Large Language Models. - Xiaoshuai Song; Yanan Wu; Weixun Wang; Jiaheng Liu; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models. - Alexander Zhang; Marcus Dong; Jiaheng Liu; Wei Zhang 021; Yejie Wang; Jian Yang 003; Ge Zhang 009; Tianyu Liu 001; Zhongyuan Peng; Yingshui Tan; Yuanxing Zhang; Zhexu Wang; et al. (CoRR, 2025)

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? - Yancheng He; Shilong Li; Jiaheng Liu; Weixun Wang; Xingyuan Bu; Ge Zhang 009; Zhongyuan Peng; Zhaoxiang Zhang 001; Zhicheng Zheng; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT Distillation. - Yijia Luo; Yulin Song; Xingyao Zhang; Jiaheng Liu; Weixun Wang; Gengru Chen; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

Think-J: Learning to Think for Generative LLM-as-a-Judge. - Hui Huang 021; Yancheng He; Hongli Zhou 001; Rui Zhang; Wei Liu; Weixun Wang; Wenbo Su; Bo Zheng 007; Jiaheng Liu (CoRR, 2025)

Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models. - Baihui Zheng; Boren Zheng; Kerui Cao; Yingshui Tan; Zhendong Liu; Weixun Wang; Jiaheng Liu; Jian Yang; Wenbo Su; Xiaoyong Zhu; Bo Zheng 007; Kaifu Zhang (CoRR, 2025)

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models. - Baolin Zheng; Guanlin Chen; Hongqiong Zhong; Qingyang Teng; Yingshui Tan; Zhendong Liu; Weixun Wang; Jiaheng Liu; Jian Yang 003; Huiyun Jing; Jincheng Wei; Wenbo Su; et al. (CoRR, 2025)

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. - Weixun Wang; Shaopan Xiong; Gengru Chen; Wei Gao; Sheng Guo 005; Yancheng He; Ju Huang; Jiaheng Liu; Zhendong Li; Xiaoyang Li; Zichen Liu; Haizhou Zhao; et al. (CoRR, 2025)

Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning. - Zihe Liu; Jiashun Liu; Yancheng He; Weixun Wang; Jiaheng Liu; Ling Pan; Xinyu Hu; Shaopan Xiong; Ju Huang; Jian Hu; Shengyi Huang; Siran Yang; et al. (CoRR, 2025)