Dong Li - RankMe

113 papers A* 29A 4B 5C 1Journal 64Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. AAAI Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou
2026	J	`jnl`	JEPA-VLA: Video Predictive Embedding is Needed for VLA Models. CoRR Shangchen Miao, Ningya Feng, Jialong Wu, Ye Lin, Xu He, Dong Li, Mingsheng Long
2026	J	`jnl`	Ratio-Variance Regularized Policy Optimization for Efficient LLM Fine-tuning. CoRR Yu Luo, Shuo Han, Yihan Hu, Dong Li, Jianye Hao
2026	J	`jnl`	Re CoRR Pinzheng Wang, Shuli Xu, Juntao Li, Yu Luo, Dong Li, Jianye Hao, Min Zhang
2025	J	`jnl`	A Survey of Reinforcement Learning for Large Reasoning Models. CoRR Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou
2025	J	`jnl`	A security enhanced certificateless aggregate signcryption scheme for VANETs. Peer Peer Netw. Appl. Dong Li, Wentao Tang, Liangliang Wang, Yang Liu, Zhiquan Liu, Kai Zhang, Weiwei Li
2025	J	`jnl`	ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization. CoRR Yongcheng Zeng, Xinyu Cui, Xuanfa Jin, Guoqing Liu, Zexu Sun, Quan He, Dong Li, Ning Yang, Jianye Hao, Haifeng Zhang, Jun Wang
2025	J	`jnl`	Automating Exploratory Multiomics Research via Language Models. CoRR Shang Qu, Ning Ding, Linhai Xie, Yifei Li, Zaoqu Liu, Kaiyan Zhang, Yibai Xiong, Yuxin Zuo, Zhangren Chen, Ermo Hua, Xingtai Lv, Youbang Sun, Yang Li, Dong Li, Fuchu He, Bowen Zhou
2025	J	`jnl`	Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration. CoRR Junqi Gao, Zhichang Guo, Dazhi Zhang, Dong Li, Runze Liu, Pengfei Li, Kai Tian, Biqing Qi
2025	J	`jnl`	Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning. IEEE Trans. Circuits Syst. Video Technol. Biqing Qi, Junqi Gao, Xinquan Chen, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou
2025	A*	`conf`	Fast and Slow Gradient Approximation for Binary Neural Network Optimization. AAAI Xinquan Chen, Junqi Gao, Biqing Qi, Dong Li, Yiang Luo, Fangyuan Li, Pengfei Li
2025	J	`jnl`	GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. CoRR Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou
2025	B	`conf`	HDBO-B: On Benchmarking High-Dimensional Bayesian Optimization. IJCNN Yiyu Chen, Hongye Cao, Quanlin Chen, Jing Huo, Dong Li, Xu He, Yang Gao
2025	A*	`conf`	Less is More: Efficient Model Merging with Binary Task Switch. CVPR Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou
2025	J	`jnl`	Omni-Thinker: Scaling Cross-Domain Generalization in LLMs via Multi-Task RL with Hybrid Rewards. CoRR Derek Li, Jiaming Zhou, Amirreza Kazemi, Qianyi Sun, Abbas Ghaddar, Mohammad Ali Alomrani, Liheng Ma, Yu Luo, Dong Li, Feng Wen, Jianye Hao, Mark Coates, Yingxue Zhang
2025	J	`jnl`	Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition. CoRR Hanting Chen, Yasheng Wang, Kai Han, Dong Li, Lin Li, Zhenni Bi, Jinpeng Li, Haoyu Wang, Fei Mi, Mingjian Zhu, Bin Wang, Kaikai Song, Yifei Fu, Xu He, Yu Luo, Chong Zhu, Quan He, Xueyu Wu, Wei He, Hailin Hu, Yehui Tang, Dacheng Tao, Xinghao Chen, Yunhe Wang
2025	J	`jnl`	Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. CoRR Yehui Tang, Yichun Yin, Yaoyuan Wang, Hang Zhou, Yu Pan, Wei Guo, Zhiguo Zhang, Miao Rang, Fangcheng Liu, Naifu Zhang, Binghan Li, Yonghan Dong, Xiaojun Meng, Yasheng Wang, Dong Li, Yin Li, Dandan Tu, Can Chen, Youliang Yan, Fisher Yu, Ruiming Tang, Yunhe Wang, Botian Huang, Bo Wang, Boxiao Liu, Changzheng Zhang, Da Kuang, Fei Liu, Gang Huang, Jiansheng Wei, Jiarui Qin, Jie Ran, Jinpeng Li, Jun Zhao, Liang Dai, Lin Li, Liqun Deng, Peifeng Qin, Pengyuan Zeng, Qiang Gu, Shaohua Tang, Shengjun Cheng, Tao Gao, Tao Yu, Tianshu Li, Tianyu Bi, Wei He, Weikai Mao, Wenyong Huang, Wulong Liu, Xiabing Li, Xianzhi Yu, Xueyu Wu, Xu He, Yangkai Du, Yan Xu, Ye Tian, Yimeng Wu, Yongbing Huang, Yong Tian, Yong Zhu, Yue Li, Yufei Wang, Yuhang Gai, Yujun Li, Yu Luo, Yunsheng Ni, Yusen Sun, Zelin Chen, Zhe Liu, Zhicheng Liu, Zhipeng Tu, Zilin Ding, Zongyuan Zhan
2025	J	`jnl`	Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. CoRR Yichun Yin, Wenyong Huang, Kaikai Song, Yehui Tang, Xueyu Wu, Wei Guo, Peng Guo, Yaoyuan Wang, Xiaojun Meng, Yasheng Wang, Dong Li, Can Chen, Dandan Tu, Yin Li, Fisher Yu, Ruiming Tang, Yunhe Wang, Baojun Wang, Bin Wang, Bo Wang, Boxiao Liu, Changzheng Zhang, Duyu Tang, Fei Mi, Hui Jin, Jiansheng Wei, Jiarui Qin, Jinpeng Li, Jun Zhao, Liqun Deng, Lin Li, Minghui Xu, Naifu Zhang, Nianzu Zheng, Qiang Li, Rongju Ruan, Shengjun Cheng, Tianyu Guo, Wei He, Wei Li, Weiwen Liu, Wulong Liu, Xinyi Dai, Yonghan Dong, Yu Pan, Yue Li, Yufei Wang, Yujun Li, Yunsheng Ni, Zhe Liu, Zhenhe Zhang, Zhicheng Liu
2025	A*	`conf`	Reinforced In-Context Black-Box Optimization. IJCAI Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
2024	J	`jnl`	A survey on interpretable reinforcement learning. Mach. Learn. Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
2024	J	`jnl`	Automating Exploratory Proteomics Research via Language Models. CoRR Ning Ding, Shang Qu, Linhai Xie, Yifei Li, Zaoqu Liu, Kaiyan Zhang, Yibai Xiong, Yuxin Zuo, Zhangren Chen, Ermo Hua, Xingtai Lv, Youbang Sun, Yang Li, Dong Li, Fuchu He, Bowen Zhou
2024	J	`jnl`	Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
2024	J	`jnl`	Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning. CoRR Biqing Qi, Junqi Gao, Xingquan Chen, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou
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	A*	`conf`	DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. AAAI Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng
2024	J	`jnl`	Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization. CoRR Biqing Qi, Zhouyi Qian, Yiang Luo, Junqi Gao, Dong Li, Kaiyan Zhang, Bowen Zhou
2024	J	`jnl`	Fast and Slow Gradient Approximation for Binary Neural Network Optimization. CoRR Xinquan Chen, Junqi Gao, Biqing Qi, Dong Li, Yiang Luo, Fangyuan Li, Pengfei Li
2024	A*	`conf`	HarmonyDream: Task Harmonization Inside World Models. ICML Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	Improving Unsupervised Hierarchical Representation With Reinforcement Learning. CVPR Ruyi An, Yewen Li, Xu He, Pengjie Gu, Mengchen Zhao, Dong Li, Jianye Hao, Chaojie Wang, Bo An, Mingyuan Zhou
2024	A*	`conf`	Interactive Continual Learning: Fast and Slow Thinking. CVPR Biqing Qi, Xinquan Chen, Junqi Gao, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou
2024	J	`jnl`	Interactive Continual Learning: Fast and Slow Thinking. CoRR Biqing Qi, Xingquan Chen, Junqi Gao, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou
2024	J	`jnl`	Learning from Hierarchical Structure of Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. Yingrong Qin, Chen Gao, Shuangqing Wei, Yue Wang, Depeng Jin, Jian Yuan, Lin Zhang, Dong Li, Jianye Hao, Yong Li
2024	J	`jnl`	Less is More: Efficient Model Merging with Binary Task Switch. CoRR Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou
2024	A*	`conf`	Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. AAAI Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng
2024	A*	`conf`	PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. AAAI Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao
2024	J	`jnl`	Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning. IEEE Trans. Ind. Informatics Junjie Wang, Qichao Zhang, Yao Mu, Dong Li, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao
2024	—	`conf`	Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization. PPSN (2) Quanlin Chen, Jing Huo, Yiyu Chen, Tianyu Ding, Yang Gao, Dong Li, Xu He
2024	J	`jnl`	Reinforced In-Context Black-Box Optimization. CoRR Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
2024	J	`jnl`	Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection. CoRR Yewen Li, Chaojie Wang, Xiaobo Xia, Xu He, Ruyi An, Dong Li, Tongliang Liu, Bo An, Xinrun Wang
2024	—	`conf`	SMR: State Memory Replay for Long Sequence Modeling. ACL (Findings) Biqing Qi, Junqi Gao, Kaiyan Zhang, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou
2024	J	`jnl`	SMR: State Memory Replay for Long Sequence Modeling. CoRR Biqing Qi, Junqi Gao, Kaiyan Zhang, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou
2024	J	`jnl`	SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning. CoRR Biqing Qi, Junqi Gao, Xinquan Chen, Dong Li, Weinan Zhang, Bowen Zhou
2024	A*	`conf`	Sample-Efficient Quality-Diversity by Cooperative Coevolution. ICLR Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian
2024	A*	`conf`	Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. IJCAI Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian
2024	A*	`conf`	iVideoGPT: Interactive VideoGPTs are Scalable World Models. NeurIPS Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long
2024	J	`jnl`	iVideoGPT: Interactive VideoGPTs are Scalable World Models. CoRR Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long
2023	—	`conf`	Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. ICSE-SEIP Ming Yan, Junjie Chen, Hangyu Mao, Jiajun Jiang, Jianye Hao, Xingjian Li, Zhao Tian, Zhichao Chen, Dong Li, Zhangkong Xian, Yanwei Guo, Wulong Liu, Bin Wang, Yuefeng Sun, Yongshun Cui
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	A*	`conf`	Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System. WWW Zhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang
2023	J	`jnl`	DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. CoRR Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng
2023	J	`jnl`	Differentiable Logic Machines. Trans. Mach. Learn. Res. Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu
2023	A	`conf`	Dual-Process Graph Neural Network for Diversified Recommendation. CIKM Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li, Jianye Hao
2023	A	`conf`	Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. ECAI Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
2023	J	`jnl`	Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning. CoRR Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
2023	J	`jnl`	PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. CoRR Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao
2023	A*	`conf`	Reining Generalization in Offline Reinforcement Learning via Representation Distinction. NeurIPS Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng
2023	J	`jnl`	Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. CoRR Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian
2023	A*	`conf`	Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. SIGIR Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
2023	J	`jnl`	Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. CoRR Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
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`	Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. CoRR Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
2022	—	`conf`	Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. DASFAA (3) Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao
2022	—	`conf`	Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. MICCAI (3) Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng
2022	A*	`conf`	Invariant Factor Graph Neural Networks. ICDM Zheng Fang, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang
2022	J	`jnl`	LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction. CoRR Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
2022	A*	`conf`	LHNN: lattice hypergraph neural network for VLSI congestion prediction. DAC Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
2022	A*	`conf`	Learning Pseudometric-based Action Representations for Offline Reinforcement Learning. ICML Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An
2022	A*	`conf`	Learning State Representations via Retracing in Reinforcement Learning. ICLR Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess
2022	A*	`conf`	Neuro-Symbolic Hierarchical Rule Induction. ICML Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao
2022	J	`jnl`	On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies. CoRR Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li
2022	J	`jnl`	PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning. CoRR Yiqun Chen, Hangyu Mao, Tianle Zhang, Shiguang Wu, Bin Zhang, Jianye Hao, Dong Li, Bin Wang, Hongxing Chang
2022	J	`jnl`	Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. CoRR Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao
2022	J	`jnl`	Rethinking Reinforcement Learning based Logic Synthesis. CoRR Chao Wang, Chen Chen, Dong Li, Bin Wang
2022	J	`jnl`	SEREN: Knowing When to Explore and When to Exploit. CoRR Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess
2022	J	`jnl`	State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning. CoRR Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao
2022	J	`jnl`	Transformer in Transformer as Backbone for Deep Reinforcement Learning. CoRR Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao
2022	C	`conf`	VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators. CoG Shiyu Huang, Chao Yu, Bin Wang, Dong Li, Yu Wang, Ting Chen, Jun Zhu
2022	A*	`conf`	Versatile Multi-stage Graph Neural Network for Circuit Representation. NeurIPS Shuwen Yang, Zhihao Yang, Dong Li, Yingxue Zhang, Zhanguang Zhang, Guojie Song, Jianye Hao
2022	A*	`conf`	What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
2021	J	`jnl`	A Survey on Interpretable Reinforcement Learning. CoRR Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
2021	A*	`conf`	Adaptive Online Packing-guided Search for POMDPs. NeurIPS Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao
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	A	`conf`	CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CIKM Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
2021	J	`jnl`	CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CoRR Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
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
2021	J	`jnl`	Differentiable Logic Machines. CoRR Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Jianye Hao, Dong Li, Wulong Liu
2021	J	`jnl`	Empirical Policy Optimization for n-Player Markov Games. CoRR Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Dong Li
2021	A*	`conf`	Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). AAAI Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu
2021	A	`conf`	Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. ICCAD Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
2021	J	`jnl`	Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. CoRR Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
2021	J	`jnl`	Learning State Representations via Retracing in Reinforcement Learning. CoRR Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess
2021	J	`jnl`	Learning Symbolic Rules for Interpretable Deep Reinforcement Learning. CoRR Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao
2021	J	`jnl`	MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation. Neurocomputing Yi Lu, Yaran Chen, Dongbin Zhao, Dong Li
2021	J	`jnl`	Neuro-Symbolic Hierarchical Rule Induction. CoRR Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu
2021	—	`conf`	Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic. PRICAI (3) Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jianye Hao, Jun Zhu, Ting Chen
2021	J	`jnl`	Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization. CoRR Shiyu Huang, Bin Wang, Dong Li, Jianye Hao, Ting Chen, Jun Zhu
2021	—	`conf`	SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition. DAI Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
2021	J	`jnl`	SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition. CoRR Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
2021	A*	`conf`	Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. AAAI Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
2020	A*	`conf`	Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. AAAI Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
2020	J	`jnl`	Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. CoRR Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
2020	J	`jnl`	What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. CoRR Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang
2019	J	`jnl`	Graph Attention Memory for Visual Navigation. CoRR Dong Li, Dongbin Zhao, Qichao Zhang, Yuzheng Zhuang, Bin Wang
2019	J	`jnl`	Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. CoRR Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
2019	J	`jnl`	Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes]. IEEE Comput. Intell. Mag. Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen
2019	—	`conf`	Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling. SSCI Dong Li, Dongbin Zhao, Qichao Zhang
2018	—	`conf`	A Review of Computational Intelligence for StarCraft AI. SSCI Zhentao Tang, Kun Shao, Yuanheng Zhu, Dong Li, Dongbin Zhao, Tingwen Huang
2018	B	`conf`	A temporal-based deep learning method for multiple objects detection in autonomous driving. IJCNN Yaran Chen, Dongbin Zhao, Haoran Li, Dong Li, Ping Guo
2018	—	`conf`	An Autonomous Driving Experience Platform with Learning-Based Functions. SSCI Dong Li, Dongbin Zhao, Qichao Zhang, Yuanheng Zhu
2018	B	`conf`	DeepSign: Deep Learning based Traffic Sign Recognition. IJCNN Dong Li, Dongbin Zhao, Yaran Chen, Qichao Zhang
2018	J	`jnl`	Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. CoRR Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen
2017	B	`conf`	Policy gradient methods with Gaussian process modelling acceleration. IJCNN Dong Li, Dongbin Zhao, Qichao Zhang, Chaomin Luo
2015	B	`conf`	Thermal comfort control based on MEC algorithm for HVAC systems. IJCNN Dong Li, Dongbin Zhao, Yuanheng Zhu, Zhongpu Xia