Weixun Wang - RankMe

84 papers A* 15A 6Misc 3Journal 52Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria. CoRR Xinyu Hu, Yancheng He, Weixun Wang, Tao Feng, Li Lin, Jiashun Liu, Wenbo Su, Bo Zheng, Xiaojun Wan
2026	J	`jnl`	Complementary Reinforcement Learning. CoRR Dilxat Muhtar, Jiashun Liu, Wei Gao, Weixun Wang, Shaopan Xiong, Ju Huang, Siran Yang, Wenbo Su, Jiamang Wang, Ling Pan, Bo Zheng
2026	J	`jnl`	ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants. CoRR Pei Wang, Yanan Wu, Xiaoshuai Song, Weixun Wang, Gengru Chen, Zhongwen Li, Kezhong Yan, Ken Deng, Qi Liu, Shuaibing Zhao, Shaopan Xiong, Xuepeng Liu, Xuefeng Chen, Wanxi Deng, Wenbo Su, Bo Zheng
2026	A*	`conf`	Think-J: Learning to Think for Generative LLM-as-a-Judge. AAAI Hui Huang, Yancheng He, Hongli Zhou, Rui Zhang, Wei Liu, Weixun Wang, Jiaheng Liu, Wenbo Su
2025	—	`conf`	2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. NAACL (Findings) Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng
2025	J	`jnl`	Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning. CoRR Jiashun Liu, Johan S. Obando-Ceron, Han Lu, Yancheng He, Weixun Wang, Wenbo Su, Bo Zheng, Pablo Samuel Castro, Aaron C. Courville, Ling Pan
2025	J	`jnl`	Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization. CoRR Yang Li, Zhichen Dong, Yuhan Sun, Weixun Wang, Shaopan Xiong, Yijia Luo, Jiashun Liu, Han Lu, Jiamang Wang, Wenbo Su, Bo Zheng, Junchi Yan
2025	J	`jnl`	Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models. CoRR Baihui Zheng, Boren Zheng, Kerui Cao, Yingshui Tan, Zhendong Liu, Weixun Wang, Jiaheng Liu, Jian Yang, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang
2025	—	`conf`	Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? ACL (1) Yancheng He, Shilong Li, Jiaheng Liu, Weixun Wang, Xingyuan Bu, Ge Zhang, Z. Y. Peng, Zhaoxiang Zhang, Zhicheng Zheng, Wenbo Su, Bo Zheng
2025	J	`jnl`	Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? CoRR Yancheng He, Shilong Li, Jiaheng Liu, Weixun Wang, Xingyuan Bu, Ge Zhang, Zhongyuan Peng, Zhaoxiang Zhang, Zhicheng Zheng, Wenbo Su, Bo Zheng
2025	—	`conf`	Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. ACL (1) Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Dekai Sun, Zhicheng Zheng, Wenbo Su, Bo Zheng
2025	J	`jnl`	CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models. CoRR Alexander Zhang, Marcus Dong, Jiaheng Liu, Wei Zhang, Yejie Wang, Jian Yang, Ge Zhang, Tianyu Liu, Zhongyuan Peng, Yingshui Tan, Yuanxing Zhang, Zhexu Wang, Weixun Wang, Yancheng He, Ken Deng, Wangchunshu Zhou, Wenhao Huang, Zhaoxiang Zhang
2025	J	`jnl`	Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT Distillation. CoRR Yijia Luo, Yulin Song, Xingyao Zhang, Jiaheng Liu, Weixun Wang, Gengru Chen, Wenbo Su, Bo Zheng
2025	J	`jnl`	GEM: A Gym for Agentic LLMs. CoRR Zichen Liu, Anya Sims, Keyu Duan, Changyu Chen, Simon Yu, Xiangxin Zhou, Haotian Xu, Shaopan Xiong, Bo Liu, Chenmien Tan, Chuen Yang Beh, Weixun Wang, Hao Zhu, Weiyan Shi, Diyi Yang, Michael Shieh, Yee Whye Teh, Wee Sun Lee, Min Lin
2025	—	`conf`	OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework. EMNLP (System Demonstrations) Jian Hu, Xibin Wu, Wei Shen, Jason Klein Liu, Weixun Wang, Songlin Jiang, Haoran Wang, Hao Chen, Bin Chen, Wenkai Fang, Xianyu, Yu Cao, Haotian Xu, Yiming Liu
2025	J	`jnl`	Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning. CoRR Zihe Liu, Jiashun Liu, Yancheng He, Weixun Wang, Jiaheng Liu, Ling Pan, Xinyu Hu, Shaopan Xiong, Ju Huang, Jian Hu, Shengyi Huang, Siran Yang, Jiamang Wang, Wenbo Su, Bo Zheng
2025	J	`jnl`	Part II: ROLL Flash - Accelerating RLVR and Agentic Training with Asynchrony. CoRR Han Lu, Zichen Liu, Shaopan Xiong, Yancheng He, Wei Gao, Yanan Wu, Weixun Wang, Jiashun Liu, Yang Li, Haizhou Zhao, Ju Huang, Siran Yang, Xiaoyang Li, Yijia Luo, Zihe Liu, Ling Pan, Junchi Yan, Wei Wang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng
2025	—	`conf`	ProgCo: Program Helps Self-Correction of Large Language Models. ACL (2) Xiaoshuai Song, Yanan Wu, Weixun Wang, Jiaheng Liu, Wenbo Su, Bo Zheng
2025	J	`jnl`	ProgCo: Program Helps Self-Correction of Large Language Models. CoRR Xiaoshuai Song, Yanan Wu, Weixun Wang, Jiaheng Liu, Wenbo Su, Bo Zheng
2025	J	`jnl`	Reasoning Palette: Modulating Reasoning via Latent Contextualization for Controllable Exploration for (V)LMs. CoRR Rujiao Long, Yang Li, Xingyao Zhang, Weixun Wang, Tianqianjin Lin, Xi Zhao, Yuchi Xu, Wenbo Su, Junchi Yan, Bo Zheng
2025	J	`jnl`	Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. CoRR Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo, Yancheng He, Ju Huang, Jiaheng Liu, Zhendong Li, Xiaoyang Li, Zichen Liu, Haizhou Zhao, Dakai An, Lunxi Cao, Qiyang Cao, Wanxi Deng, Feilei Du, Yiliang Gu, Jiahe Li, Xiang Li, Mingjie Liu, Yijia Luo, Zihe Liu, Yadao Wang, Pei Wang, Tianyuan Wu, Yanan Wu, Yuheng Zhao, Shuaibing Zhao, Jin Yang, Siran Yang, Yingshui Tan, Huimin Yi, Yuchi Xu, Yujin Yuan, Xingyao Zhang, Lin Qu, Wenbo Su, Wei Wang, Jiamang Wang, Bo Zheng
2025	J	`jnl`	RollArt: Scaling Agentic RL Training via Disaggregated Infrastructure. CoRR Wei Gao, Yuheng Zhao, Tianyuan Wu, Shaopan Xiong, Weixun Wang, Dakai An, Lunxi Cao, Dilxat Muhtar, Zichen Liu, Haizhou Zhao, Ju Huang, Siran Yang, Yongbin Li, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang
2025	J	`jnl`	RollPacker: Mitigating Long-Tail Rollouts for Fast, Synchronous RL Post-Training. CoRR Wei Gao, Yuheng Zhao, Dakai An, Tianyuan Wu, Lunxi Cao, Shaopan Xiong, Ju Huang, Weixun Wang, Siran Yang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng, Wei Wang
2025	J	`jnl`	Think-J: Learning to Think for Generative LLM-as-a-Judge. CoRR Hui Huang, Yancheng He, Hongli Zhou, Rui Zhang, Wei Liu, Weixun Wang, Wenbo Su, Bo Zheng, Jiaheng Liu
2025	J	`jnl`	USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models. CoRR Baolin Zheng, Guanlin Chen, Hongqiong Zhong, Qingyang Teng, Yingshui Tan, Zhendong Liu, Weixun Wang, Jiaheng Liu, Jian Yang, Huiyun Jing, Jincheng Wei, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang
2024	J	`jnl`	2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. CoRR Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng
2024	J	`jnl`	Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. CoRR Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Xuepeng Liu, Dekai Sun, Shirong Lin, Zhicheng Zheng, Xiaoyong Zhu, Wenbo Su, Bo Zheng
2024	J	`jnl`	Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
2024	J	`jnl`	OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework. CoRR Jian Hu, Xibin Wu, Weixun Wang, Xianyu, Dehao Zhang, Yu Cao
2024	A*	`conf`	PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAAI Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
2024	J	`jnl`	The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization. CoRR Shengyi Huang, Michael Noukhovitch, Arian Hosseini, Kashif Rasul, Weixun Wang, Lewis Tunstall
2023	J	`jnl`	ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao
2023	A*	`conf`	Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. ICLR Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang
2023	J	`jnl`	MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library. J. Mach. Learn. Res. Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Xiaodan Liang, Zhihui Li, Xiaojun Chang, Yaodong Yang
2023	A	`conf`	Off-Beat Multi-Agent Reinforcement Learning. AAMAS Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
2023	A	`conf`	PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAMAS Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
2022	J	`jnl`	A2C is a special case of PPO. CoRR Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa
2022	J	`jnl`	API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. CoRR Xiaotian Hao, Weixun Wang, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao
2022	J	`jnl`	Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents. CoRR Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li
2022	J	`jnl`	Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents. Frontiers Inf. Technol. Electron. Eng. Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li
2022	A*	`conf`	Individual Reward Assisted Multi-Agent Reinforcement Learning. ICML Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan
2022	J	`jnl`	MARLlib: Extending RLlib for Multi-agent Reinforcement Learning. CoRR Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Zhihui Li, Xiaodan Liang, Xiaojun Chang, Yaodong Yang
2022	J	`jnl`	Off-Beat Multi-Agent Reinforcement Learning. CoRR Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
2022	J	`jnl`	Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization. CoRR Jian Zhao, Yue Zhang, Xunhan Hu, Weixun Wang, Wengang Zhou, Jianye Hao, Jiangcheng Zhu, Houqiang Li
2022	A*	`conf`	Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. NeurIPS Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng
2021	A*	`conf`	An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
2021	J	`jnl`	Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
2020	A*	`conf`	Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. ICLR Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2020	A	`conf`	Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng
2020	J	`jnl`	Efficient Deep Reinforcement Learning through Policy Transfer. CoRR Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng
2020	A*	`conf`	Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
2020	A*	`conf`	From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. AAAI Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2020	A*	`conf`	KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. IJCAI Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
2020	J	`jnl`	KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. CoRR Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
2020	J	`jnl`	Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen
2020	A*	`conf`	Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. IJCAI Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
2020	J	`jnl`	Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. CoRR Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
2020	A*	`conf`	Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. NeurIPS Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan
2020	J	`jnl`	Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. CoRR Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan
2020	A*	`conf`	Multi-Agent Game Abstraction via Graph Attention Neural Network. AAAI Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
2019	—	`conf`	Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas. DAI Weixun Wang, Jianye Hao, Yixi Wang, Matthew E. Taylor
2019	J	`jnl`	Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. CoRR Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2019	J	`jnl`	From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. CoRR Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2019	A	`conf`	Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. AAMAS Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
2019	J	`jnl`	Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. CoRR Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
2019	A	`conf`	Learning Adaptive Display Exposure for Real-Time Advertising. CIKM Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai
2019	J	`jnl`	Multi-Agent Game Abstraction via Graph Attention Neural Network. CoRR Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
2018	J	`jnl`	Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. CoRR Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai
2018	J	`jnl`	Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach. CoRR Weixun Wang, Jianye Hao, Yixi Wang, Matthew E. Taylor
2012	J	`jnl`	A Novel Approach for Handling Misbehaving Nodes in Behavior-Aware Mobile Networking CoRR Kanad Basu, Subrata Mitra, Srishti Mukherjee, Weixun Wang
2012	J	`jnl`	Dynamic Cache Reconfiguration for Soft Real-Time Systems. ACM Trans. Embed. Comput. Syst. Weixun Wang, Prabhat Mishra, Ann Gordon-Ross
2012	—	`ch.`	Energy-Aware Scheduling and Dynamic Reconfiguration in Real-Time Systems. Handbook of Energy-Aware and Green Computing Weixun Wang, Xiaoke Qin, Prabhat Mishra
2012	J	`jnl`	Energy-aware dynamic slack allocation for real-time multitasking systems. Sustain. Comput. Informatics Syst. Weixun Wang, Sanjay Ranka, Prabhat Mishra
2012	J	`jnl`	System-Wide Leakage-Aware Energy Minimization Using Dynamic Voltage Scaling and Cache Reconfiguration in Multitasking Systems. IEEE Trans. Very Large Scale Integr. Syst. Weixun Wang, Prabhat Mishra
2012	J	`jnl`	TCEC: Temperature and Energy-Constrained Scheduling in Real-Time Multitasking Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xiaoke Qin, Weixun Wang, Prabhat Mishra
2011	Misc	`conf`	A General Algorithm for Energy-Aware Dynamic Reconfiguration in Multitasking Systems. VLSI Design Weixun Wang, Sanjay Ranka, Prabhat Mishra
2011	J	`jnl`	Dynamic Reconfiguration of Two-Level Cache Hierarchy in Real-Time Embedded Systems. J. Low Power Electron. Weixun Wang, Prabhat Mishra
2011	A*	`conf`	Dynamic cache reconfiguration and partitioning for energy optimization in real-time multi-core systems. DAC Weixun Wang, Prabhat Mishra, Sanjay Ranka
2011	J	`jnl`	Energy-aware dynamic reconfiguration algorithms for real-time multitasking systems. Sustain. Comput. Informatics Syst. Weixun Wang, Sanjay Ranka, Prabhat Mishra
2010	Misc	`conf`	Leakage-Aware Energy Minimization Using Dynamic Voltage Scaling and Cache Reconfiguration in Real-Time Systems. VLSI Design Weixun Wang, Prabhat Mishra
2010	A*	`conf`	PreDVS: preemptive dynamic voltage scaling for real-time systems using approximation scheme. DAC Weixun Wang, Prabhat Mishra
2010	A	`conf`	Temperature- and energy-constrained scheduling in multitasking systems: a model checking approach. ISLPED Weixun Wang, Xiaoke Qin, Prabhat Mishra
2009	—	`conf`	Dynamic Reconfiguration of Two-Level Caches in Soft Real-Time Embedded Systems. ISVLSI Weixun Wang, Prabhat Mishra
2009	Misc	`conf`	SACR: Scheduling-Aware Cache Reconfiguration for Real-Time Embedded Systems. VLSI Design Weixun Wang, Prabhat Mishra, Ann Gordon-Ross