Thermal comfort control based on MEC algorithm for HVAC systems. - Dong Li 016; Dongbin Zhao; Yuanheng Zhu; Zhongpu Xia (IJCNN, 2015)

Policy gradient methods with Gaussian process modelling acceleration. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Chaomin Luo (IJCNN, 2017)

A temporal-based deep learning method for multiple objects detection in autonomous driving. - Yaran Chen; Dongbin Zhao; Haoran Li 010; Dong Li 016; Ping Guo 002 (IJCNN, 2018)

DeepSign: Deep Learning based Traffic Sign Recognition. - Dong Li 016; Dongbin Zhao; Yaran Chen; Qichao Zhang (IJCNN, 2018)

An Autonomous Driving Experience Platform with Learning-Based Functions. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yuanheng Zhu (SSCI, 2018)

A Review of Computational Intelligence for StarCraft AI. - Zhentao Tang; Kun Shao; Yuanheng Zhu; Dong Li 016; Dongbin Zhao; Tingwen Huang (SSCI, 2018)

Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yaran Chen (CoRR, 2018)

Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling. - Dong Li 016; Dongbin Zhao; Qichao Zhang (SSCI, 2019)

Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes]. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yaran Chen (IEEE Comput. Intell. Mag., 2019)

Graph Attention Memory for Visual Navigation. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yuzheng Zhuang; Bin Wang 034 (CoRR, 2019)

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. - Hangyu Mao; Wulong Liu; Jianye Hao; Jun Luo 009; Dong Li 016; Zhengchao Zhang; Jun Wang 012; Zhen Xiao (AAAI, 2020)

What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. - Hongyao Tang; Zhaopeng Meng; Jianye Hao; Chen Chen 077; Daniel Graves; Dong Li 016; Wulong Liu; Yaodong Yang 002 (CoRR, 2020)

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. - Haotian Fu; Hongyao Tang; Jianye Hao; Chen Chen 077; Xidong Feng; Dong Li 016; Wulong Liu (AAAI, 2021)

Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). - Feng Xu 007; Shengyi Jiang; Hao Yin; Zongzhang Zhang; Yang Yu 001; Ming Li 005; Dong Li 016; Wulong Liu (AAAI, 2021)

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. - Xidong Feng; Chen Chen 077; Dong Li 016; Mengchen Zhao; Jianye Hao; Jun Wang 012 (CIKM, 2021)

SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition. - Hangyu Mao; Chao Wang; Xiaotian Hao; Yihuan Mao; Yiming Lu; Chengjie Wu; Jianye Hao; Dong Li 016; Pingzhong Tang (DAI, 2021)

Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. - Amur Ghose; Vincent Zhang; Yingxue Zhang 001; Dong Li 016; Wulong Liu; Mark Coates (ICCAD, 2021)

Adaptive Online Packing-guided Search for POMDPs. - Chenyang Wu 001; Guoyu Yang; Zongzhang Zhang; Yang Yu 001; Dong Li 016; Wulong Liu; Jianye Hao (NeurIPS, 2021)

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)

Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic. - Shiyu Huang 001; Bin Wang 034; Hang Su 006; Dong Li 016; Jianye Hao; Jun Zhu 001; Ting Chen 006 (PRICAI (3), 2021)

Learning Symbolic Rules for Interpretable Deep Reinforcement Learning. - Zhihao Ma; Yuzheng Zhuang; Paul Weng; Hankz Hankui Zhuo; Dong Li 016; Wulong Liu; Jianye Hao (CoRR, 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)

Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization. - Shiyu Huang 001; Bin Wang 034; Dong Li 016; Jianye Hao; Ting Chen 006; Jun Zhu 001 (CoRR, 2021)

Empirical Policy Optimization for n-Player Markov Games. - Yuanheng Zhu; Dongbin Zhao; Mengchen Zhao; Dong Li 016 (CoRR, 2021)

Neuro-Symbolic Hierarchical Rule Induction. - Claire Glanois; Xuening Feng; Zhaohui Jiang; Paul Weng; Matthieu Zimmer; Dong Li 016; Wulong Liu (CoRR, 2021)

MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation. - Yi Lu; Yaran Chen; Dongbin Zhao; Dong Li 016 (Neurocomputing, 2021)

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. - Hongyao Tang; Zhaopeng Meng; Jianye Hao; Chen Chen 077; Daniel Graves; Dong Li 016; Changmin Yu; Hangyu Mao; Wulong Liu; Yaodong Yang 002; Wenyuan Tao; Li Wang (AAAI, 2022)

VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators. - Shiyu Huang 001; Chao Yu 005; Bin Wang 034; Dong Li 016; Yu Wang 002; Ting Chen 006; Jun Zhu 001 (CoG, 2022)

LHNN: lattice hypergraph neural network for VLSI congestion prediction. - Bowen Wang; Guibao Shen; Dong Li 016; Jianye Hao; Wulong Liu; Yu Huang 005; Hongzhong Wu; Yibo Lin; Guangyong Chen; Pheng-Ann Heng (DAC, 2022)

Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. - Yixu Gao; Kun Shao; Zhijian Duan 001; Zhongyu Wei; Dong Li 016; Bin Wang 034; Mengchen Zhao; Jianye Hao (DASFAA (3), 2022)

Invariant Factor Graph Neural Networks. - Zheng Fang 007; Ziyun Zhang; Guojie Song; Yingxue Zhang 001; Dong Li 016; Jianye Hao; Xi Wang (ICDM, 2022)

Learning State Representations via Retracing in Reinforcement Learning. - Changmin Yu; Dong Li 016; Jianye Hao; Jun Wang 012; Neil Burgess (ICLR, 2022)

Neuro-Symbolic Hierarchical Rule Induction. - Claire Glanois; Zhaohui Jiang; Xuening Feng; Paul Weng; Matthieu Zimmer; Dong Li 016; Wulong Liu; Jianye Hao (ICML, 2022)

Learning Pseudometric-based Action Representations for Offline Reinforcement Learning. - Pengjie Gu; Mengchen Zhao; Chen Chen 077; Dong Li 016; Jianye Hao; Bo An 001 (ICML, 2022)

Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. - Jinpeng Li 004; Guangyong Chen; Hangyu Mao; Danruo Deng; Dong Li 016; Jianye Hao; Qi Dou 001; Pheng-Ann Heng (MICCAI (3), 2022)

Versatile Multi-stage Graph Neural Network for Circuit Representation. - Shuwen Yang; Zhihao Yang; Dong Li 016; Yingxue Zhang 001; Zhanguang Zhang; Guojie Song; Jianye Hao (NeurIPS, 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)

Rethinking Reinforcement Learning based Logic Synthesis. - Chao Wang; Chen Chen 077; Dong Li 016; Bin Wang 034 (CoRR, 2022)

SEREN: Knowing When to Explore and When to Exploit. - Changmin Yu; David Mguni; Dong Li 016; Aivar Sootla; Jun Wang 012; Neil Burgess (CoRR, 2022)

On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies. - Haozhi Wang; Qing Wang 015; Yunfeng Shao 001; Dong Li 016; Jianye Hao; Yinchuan Li (CoRR, 2022)

PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning. - Yiqun Chen 004; Hangyu Mao; Tianle Zhang; Shiguang Wu 001; Bin Zhang 052; Jianye Hao; Dong Li 016; Bin Wang 034; Hongxing Chang (CoRR, 2022)

Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. - Junjie Wang; Yao Mu 001; Dong Li 016; Qichao Zhang; Dongbin Zhao; Yuzheng Zhuang; Ping Luo 002; Bin Wang 034; Jianye Hao (CoRR, 2022)

State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning. - Chen Chen 077; Hongyao Tang; Yi Ma 005; Chao Wang; Qianli Shen; Dong Li 016; Jianye Hao (CoRR, 2022)

Transformer in Transformer as Backbone for Deep Reinforcement Learning. - Hangyu Mao; Rui Zhao 001; Hao Chen 011; Jianye Hao; Yiqun Chen 004; Dong Li 016; Junge Zhang; Zhen Xiao (CoRR, 2022)

Dual-Process Graph Neural Network for Diversified Recommendation. - Yuanyi Ren; Hang Ni; Yingxue Zhang 001; Xi Wang; Guojie Song; Dong Li 016; Jianye Hao (CIKM, 2023)

Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. - Jingqing Ruan; Xiaotian Hao; Dong Li 016; Hangyu Mao (ECAI, 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)

Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. - Ming Yan 010; Junjie Chen 003; Hangyu Mao; Jiajun Jiang; Jianye Hao; Xingjian Li 007; Zhao Tian; Zhichao Chen; Dong Li 016; Zhangkong Xian; Yanwei Guo; Wulong Liu; et al. (ICSE-SEIP, 2023)

Reining Generalization in Offline Reinforcement Learning via Representation Distinction. - Yi Ma 005; Hongyao Tang; Dong Li 016; Zhaopeng Meng (NeurIPS, 2023)

Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. - Taichi Liu; Chen Gao 001; Zhenyu Wang 005; Dong Li 016; Jianye Hao; Depeng Jin; Yong Li 008 (SIGIR, 2023)

Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System. - Zhenyang Li; Yancheng Dong; Chen Gao 001; Yizhou Zhao; Dong Li 016; Jianye Hao; Kai Zhang 012; Yong Li 008; Zhi Wang 001 (WWW, 2023)

DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. - Bowen Wang; Chen Liang; Jiaze Wang; Furui Liu; Shaogang Hao; Dong Li 016; Jianye Hao; Guangyong Chen; Xiaolong Zou; Pheng-Ann Heng (CoRR, 2023)

Differentiable Logic Machines. - Matthieu Zimmer; Xuening Feng; Claire Glanois; Zhaohui Jiang; Jianyi Zhang; Paul Weng; Dong Li 016; Jianye Hao; Wulong Liu (Trans. Mach. Learn. Res., 2023)

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. - Taicai Chen; Yue Duan; Dong Li 016; Lei Qi 001; Yinghuan Shi; Yang Gao 001 (AAAI, 2024)

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. - Xiaotian Hao; Jianye Hao; Chenjun Xiao; Kai Li 022; Dong Li 016; Yan Zheng 002 (AAAI, 2024)

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. - Bowen Wang; Chen Liang; Jiaze Wang; Jiezhong Qiu; Furui Liu; Shaogang Hao; Dong Li 016; Guangyong Chen; Xiaolong Zou; Pheng-Ann Heng (AAAI, 2024)

SMR: State Memory Replay for Long Sequence Modeling. - Biqing Qi; Junqi Gao; Kaiyan Zhang; Dong Li 016; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (ACL (Findings), 2024)

Improving Unsupervised Hierarchical Representation With Reinforcement Learning. - Ruyi An; Yewen Li; Xu He; Pengjie Gu; Mengchen Zhao; Dong Li 016; Jianye Hao; Chaojie Wang 001; Bo An 001; Mingyuan Zhou (CVPR, 2024)

Interactive Continual Learning: Fast and Slow Thinking. - Biqing Qi; Xinquan Chen; Junqi Gao; Dong Li 016; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (CVPR, 2024)

Sample-Efficient Quality-Diversity by Cooperative Coevolution. - Ke Xue 001; Ren-Jian Wang; Pengyi Li 001; Dong Li 016; Jianye Hao; Chao Qian 001 (ICLR, 2024)

HarmonyDream: Task Harmonization Inside World Models. - Haoyu Ma; Jialong Wu 001; Ningya Feng; Chenjun Xiao; Dong Li 016; Jianye Hao; Jianmin Wang 001; Mingsheng Long (ICML, 2024)

Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. - Chengrui Gao; Haopu Shang; Ke Xue 001; Dong Li 016; Chao Qian 001 (IJCAI, 2024)

iVideoGPT: Interactive VideoGPTs are Scalable World Models. - Jialong Wu 001; Shaofeng Yin; Ningya Feng; Xu He; Dong Li 016; Jianye Hao; Mingsheng Long (NeurIPS, 2024)

Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization. - Quanlin Chen; Jing Huo; Yiyu Chen; Tianyu Ding; Yang Gao 001; Dong Li 016; Xu He (PPSN (2), 2024)

Reinforced In-Context Black-Box Optimization. - Lei Song; Chenxiao Gao; Ke Xue 001; Chenyang Wu 001; Dong Li 016; Jianye Hao; Zongzhang Zhang; Chao Qian 001 (CoRR, 2024)

Interactive Continual Learning: Fast and Slow Thinking. - Biqing Qi; Xingquan Chen; Junqi Gao; Dong Li 016; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (CoRR, 2024)

Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning. - Biqing Qi; Junqi Gao; Xingquan Chen; Dong Li 016; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (CoRR, 2024)

SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning. - Biqing Qi; Junqi Gao; Xinquan Chen; Dong Li 016; Weinan Zhang 003; Bowen Zhou 002 (CoRR, 2024)

Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection. - Yewen Li; Chaojie Wang 001; Xiaobo Xia; Xu He; Ruyi An; Dong Li 016; Tongliang Liu; Bo An 001; Xinrun Wang (CoRR, 2024)

Automating Exploratory Proteomics Research via Language Models. - Ning Ding 002; Shang Qu; Linhai Xie; Yifei Li; Zaoqu Liu; Kaiyan Zhang; Yibai Xiong; Yuxin Zuo; Zhangren Chen; Ermo Hua; Xingtai Lv; Youbang Sun; et al. (CoRR, 2024)

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization. - Biqing Qi; Zhouyi Qian; Yiang Luo; Junqi Gao; Dong Li 016; Kaiyan Zhang; Bowen Zhou 002 (CoRR, 2024)

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. - Chang Meng; Ziqi Zhao; Wei Guo 006; Yingxue Zhang 001; Haolun Wu; Chen Gao 001; Dong Li 016; Xiu Li 001; Ruiming Tang (ACM Trans. Inf. Syst., 2024)

Learning from Hierarchical Structure of Knowledge Graph for Recommendation. - Yingrong Qin; Chen Gao 001; Shuangqing Wei; Yue Wang 007; Depeng Jin; Jian Yuan; Lin Zhang 001; Dong Li 016; Jianye Hao; Yong Li 008 (ACM Trans. Inf. Syst., 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)

A survey on interpretable reinforcement learning. - Claire Glanois; Paul Weng; Matthieu Zimmer; Dong Li 016; Tianpei Yang; Jianye Hao; Wulong Liu (Mach. Learn., 2024)

Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning. - Junjie Wang; Qichao Zhang; Yao Mu 001; Dong Li 016; Dongbin Zhao; Yuzheng Zhuang; Ping Luo 002; Bin Wang 034; Jianye Hao (IEEE Trans. Ind. Informatics, 2024)

Less is More: Efficient Model Merging with Binary Task Switch. - Biqing Qi; Fangyuan Li; Zhen Wang 004; Junqi Gao; Dong Li 016; Peng Ye 006; Bowen Zhou 002 (CVPR, 2025)

ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization. - Yongcheng Zeng; Xinyu Cui; Xuanfa Jin; Guoqing Liu; Zexu Sun; Quan He; Dong Li 016; Ning Yang 005; Jianye Hao; Haifeng Zhang; Jun Wang 012 (CoRR, 2025)

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. - Jian Zhao; Runze Liu 002; Kaiyan Zhang; Zhimu Zhou; Junqi Gao; Dong Li 016; Jiafei Lyu; Zhouyi Qian; Biqing Qi; Xiu Li 001; Bowen Zhou 002 (CoRR, 2025)

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. - Yichun Yin; Wenyong Huang; Kaikai Song; Yehui Tang; Xueyu Wu; Wei Guo 006; Peng Guo; Yaoyuan Wang; Xiaojun Meng; Yasheng Wang; Dong Li 016; Can Chen; et al. (CoRR, 2025)

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. - Yehui Tang; Yichun Yin; Yaoyuan Wang; Hang Zhou; Yu Pan; Wei Guo 006; Zhiguo Zhang; Miao Rang; Fangcheng Liu; Naifu Zhang; Binghan Li; Yonghan Dong; et al. (CoRR, 2025)

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition. - Hanting Chen; Yasheng Wang; Kai Han 002; Dong Li 016; Lin Li; Zhenni Bi; Jinpeng Li 004; Haoyu Wang 003; Fei Mi; Mingjian Zhu; Bin Wang 027; Kaikai Song; et al. (CoRR, 2025)

Automating Exploratory Multiomics Research via Language Models. - Shang Qu; Ning Ding 002; Linhai Xie; Yifei Li; Zaoqu Liu; Kaiyan Zhang; Yibai Xiong; Yuxin Zuo; Zhangren Chen; Ermo Hua; Xingtai Lv; Youbang Sun; et al. (CoRR, 2025)

Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning. - Biqing Qi; Junqi Gao; Xinquan Chen; Dong Li 016; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Omni-Thinker: Scaling Cross-Domain Generalization in LLMs via Multi-Task RL with Hybrid Rewards. - Derek Li; Jiaming Zhou; Amirreza Kazemi; Qianyi Sun; Abbas Ghaddar; Mohammad Ali Alomrani; Liheng Ma; Yu Luo; Dong Li 016; Feng Wen; Jianye Hao; Mark Coates; et al. (CoRR, 2025)

A security enhanced certificateless aggregate signcryption scheme for VANETs. - Dong Li 016; Wentao Tang; Liangliang Wang; Yang Liu; Zhiquan Liu; Kai Zhang 008; Weiwei Li (Peer Peer Netw. Appl., 2025)