Theoretical Investigation on Post-Processed LDA for Face and Palmprint Recognition. - Jianye Hao; Wangmeng Zuo; Kuanquan Wang (CIS, 2007)

Bus-Based and NoC Infrastructure Performance Emulation and Comparison. - Ling Wang; Jianye Hao; Feixuan Wang (ITNG, 2009)

Strategy and Fairness in Repeated Two-agent Interaction. - Jianye Hao; Ho-fung Leung (ICTAI (2), 2010)

Learning to Achieve Social Rationality Using Tag Mechanism in Repeated Interactions. - Jianye Hao; Ho-fung Leung (ICTAI, 2011)

Achieving Social Optimality with Influencer Agents. - Jianye Hao; Ho-fung Leung (Complex, 2012)

ABiNeS: An Adaptive Bilateral Negotiating Strategy over Multiple Items. - Jianye Hao; Ho-fung Leung (IAT, 2012)

Analyzing multi-agent systems with probabilistic model checking approach. - Songzheng Song; Jianye Hao; Yang Liu 003; Jun Sun 001; Ho-fung Leung; Jin Song Dong (ICSE, 2012)

Incorporating Fairness into Infinitely Repeated Games with Conflicting Interests for Conflicts Elimination. - Jianye Hao; Ho-fung Leung (ICTAI, 2012)

Learning to Achieve Socially Optimal Solutions in General-Sum Games. - Jianye Hao; Ho-fung Leung (PRICAI, 2012)

Incorporating Fairness into Agent Interactions Modeled as Two-Player Normal-Form Games. - Jianye Hao; Ho-fung Leung (PRICAI, 2012)

An Efficient Negotiation Protocol to Achieve Socially Optimal Allocation. - Jianye Hao; Ho-fung Leung (PRIMA, 2012)

Probabilistic Model Checking Multi-agent Behaviors in Dispersion Games Using Counter Abstraction. - Jianye Hao; Songzheng Song; Yang Liu 003; Jun Sun 001; Lin Gui 002; Jin Song Dong; Ho-fung Leung (PRIMA, 2012)

Maintaining cooperation in homogeneous multi-agent system. - Jianye Hao; Ho-fung Leung (SMC, 2012)

Reinforcement social learning of coordination in cooperative multiagent systems. - Jianye Hao; Ho-fung Leung (AAMAS, 2013)

The Dynamics of Reinforcement Social Learning in Cooperative Multiagent Systems. - Jianye Hao; Ho-fung Leung (IJCAI, 2013)

Achieving Socially Optimal Outcomes in Multiagent Systems with Reinforcement Social Learning. - Jianye Hao; Ho-fung Leung (ACM Trans. Auton. Adapt. Syst., 2013)

Fairness, social optimality and individual rationality in agent interactions. - Jianye Hao (2013)

Adaptive Defending Strategy for Smart Grid Attacks. - Jianye Hao; Eunsuk Kang; Daniel Jackson 001; Jun Sun 001 (SEGS@CCS, 2014)

Spatial evolutionary game-theoretic perspective on agent-based complex negotiations. - Siqi Chen 001; Jianye Hao; Gerhard Weiss 001; Karl Tuyls; Ho-fung Leung (ECAI, 2014)

Networked Reinforcement Social Learning towards Coordination in Cooperative Multiagent Systems. - Jianye Hao; Dongping Huang; Yi Cai 001; Ho-fung Leung (ICTAI, 2014)

Evaluating Practical Automated Negotiation Based on Spatial Evolutionary Game Theory. - Siqi Chen 001; Jianye Hao; Gerhard Weiss 001; Karl Tuyls; Ho-fung Leung (KI, 2014)

Robustness Analysis of Negotiation Strategies through Multiagent Learning in Repeated Negotiation Games. - Jianye Hao; Siqi Chen 001; Gerhard Weiss 001; Ho-fung Leung; Karl Tuyls (MATES, 2014)

An efficient and robust negotiating strategy in bilateral negotiations over multiple items. - Jianye Hao; Songzheng Song; Ho-fung Leung; Zhong Ming 001 (Eng. Appl. Artif. Intell., 2014)

CUHKAgent: An Adaptive Negotiation Strategy for Bilateral Negotiations over Multiple Items. - Jianye Hao; Ho-fung Leung (Novel Insights in Agent-based Complex Automated Negotiation, 2014)

Heuristic Collective Learning for Efficient and Robust Emergence of Social Norms. - Jianye Hao; Jun Sun 001; Dongping Huang; Yi Cai 001; Chao Yu 004 (AAMAS, 2015)

Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems. - Chao Yu 004; Hongtao Lv; Fenghui Ren; Honglin Bao; Jianye Hao (Australasian Conference on Artificial Intelligence, 2015)

Reciprocal Social Strategy in Social Repeated Games. - Chi-Kong Chan; Jianye Hao; Ho-fung Leung (ICTAI, 2015)

Toward Efficient Agreements in Real-Time Multilateral Agent-Based Negotiations. - Siqi Chen 001; Jianye Hao; Gerhard Weiss 001; Shuang Zhou 001; Zili Zhang (ICTAI, 2015)

An Adaptive Markov Strategy for Effective Network Intrusion Detection. - Jianye Hao; Yinxing Xue; Mahinthan Chandramohan; Yang Liu 003; Jun Sun 001 (ICTAI, 2015)

Introducing decision entrustment mechanism into repeated bilateral agent interactions to achieve social optimality. - Jianye Hao; Ho-fung Leung (Auton. Agents Multi Agent Syst., 2015)

Multiagent Reinforcement Social Learning toward Coordination in Cooperative Multiagent Systems. - Jianye Hao; Ho-fung Leung; Zhong Ming 001 (ACM Trans. Auton. Adapt. Syst., 2015)

Reinforcement social learning of social optimality with influencer agents. - Jianye Hao; Ho-fung Leung (Web Intell., 2015)

An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract). - Chao Yu 004; Hongtao Lv; Sandip Sen; Jianye Hao; Fenghui Ren; Rui Liu (AAMAS, 2016)

Dynamic analysis of cell interactions in biological environments under multiagent social learning framework. - Chengwei Zhang 001; Xiaohong Li 001; Shuxin Li 001; Jianye Hao (BIBM, 2016)

Socially-Aware Multiagent Learning: Towards Socially Optimal Outcomes. - Xiaohong Li 001; Chengwei Zhang 001; Jianye Hao; Karl Tuyls; Siqi Chen 001; Zhiyong Feng 002 (ECAI, 2016)

Accelerating Norm Emergence Through Hierarchical Heuristic Learning. - Tianpei Yang; Zhaopeng Meng; Jianye Hao; Sandip Sen; Chao Yu 004 (ECAI, 2016)

Designing minimal effective normative systems with the help of lightweight formal methods. - Jianye Hao; Eunsuk Kang; Jun Sun 001; Daniel Jackson 001 (SIGSOFT FSE, 2016)

E-SSL: An SSL Security-Enhanced Method for Bypassing MITM Attacks in Mobile Internet. - Ren Zhao; Xiaohong Li 001; Guangquan Xu; Zhiyong Feng 002; Jianye Hao (SOFL+MSVL, 2016)

Formal Modeling and Verification of Security Protocols on Cloud Computing Systems Based on UML 2.3. - Kunding Fang; Xiaohong Li 001; Jianye Hao; Zhiyong Feng 002 (Trustcom/BigDataSE/ISPA, 2016)

Fepchecker: An Automatic Model Checker for Verifying Fairness and Non-Repudiation of Security Protocols in Web Service. - Xiaohong Li 001; Jiayi Xu; Guangquan Xu; Jianye Hao; Xiaoru Li; Zhiyong Feng 002; Honghao Gao (Int. J. Softw. Eng. Knowl. Eng., 2016)

Improved EGT-Based Robustness Analysis of Negotiation Strategies in Multiagent Systems via Model Checking. - Songzheng Song; Jianye Hao; Yang Liu 003; Jun Sun 001; Ho-fung Leung; Jie Zhang 002 (IEEE Trans. Hum. Mach. Syst., 2016)

Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack. - Xiaohong Li 001; Shuxin Li 001; Jianye Hao; Zhiyong Feng 002; Bo An 001 (AAAI, 2017)

Effective norm emergence in cell systems under limited communication. - Xiaotian Hao; Jianye Hao; Wang Li (BIBM, 2017)

A real-time ensemble classification algorithm for time series data. - Xianglei Zhu; Shuai Zhao; Yaodong Yang 002; Hongyao Tang; Zan Wang; Jianye Hao (ICA, 2017)

A Prediction and Learning Based Approach to Network Selection in Dynamic Environments. - Xiaohong Li 001; Ru Cao; Jianye Hao; Zhiyong Feng 002 (ICANN (1), 2017)

Towards Solving Decision Making Problems Using Probabilistic Model Checking. - Ling Shi; Shuang Liu 007; Jianye Hao; Jun Yang Koh; Zhe Hou; Jin Song Dong (ICECCS, 2017)

TLSsem: A TLS Security-Enhanced Mechanism against MITM Attacks in Public WiFis. - Wei Yang; Xiaohong Li 001; Zhiyong Feng 002; Jianye Hao (ICECCS, 2017)

An Improved Android Collusion Attack Detection Method Based on Program Slicing. - Yunhao Liu 001; Xiaohong Li 001; Zhiyong Feng 002; Jianye Hao (ICFEM, 2017)

Defending Against Man-In-The-Middle Attack in Repeated Games. - Shuxin Li 001; Xiaohong Li 001; Jianye Hao; Bo An 001; Zhiyong Feng 002; Kangjie Chen; Chengwei Zhang 001 (IJCAI, 2017)

An Adaptive Handover Trigger Strategy for 5G C/U Plane Split Heterogeneous Network. - Huijuan He; Xiaohong Li 001; Zhiyong Feng 002; Jianye Hao; Xiaofei Wang; Haijun Zhang (MASS, 2017)

FESR: A Framework for Eliciting Security Requirements Based on Integration of Common Criteria and Weakness Detection Formal Model. - Hongbo Li 003; Xiaohong Li 001; Jianye Hao; Guangquan Xu; Zhiyong Feng 002; Xiaofei Xie (QRS, 2017)

Automated Software Security Requirements Recommendation Based on FT-SR Model. - Jiangjuan Wang; Xiaohong Li 001; Zhiyong Feng 002; Jianye Hao; Guangquan Xu; Zhuobing Han (SEKE, 2017)

The dynamics of reinforcement social learning in networked cooperative multiagent systems. - Jianye Hao; Dongping Huang; Yi Cai 001; Ho-fung Leung (Eng. Appl. Artif. Intell., 2017)

Reciprocal Social Strategy in Social Repeated Games and Emergence of Social Norms. - Chi-Kong Chan; Jianye Hao; Ho-fung Leung (Int. J. Artif. Intell. Tools, 2017)

Blind Image Denoising via Dependent Dirichlet Process Tree. - Fengyuan Zhu; Guangyong Chen; Jianye Hao; Pheng-Ann Heng (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Efficient Convention Emergence through Decoupled Reinforcement Social Learning with Teacher-Student Mechanism. - Yixi Wang; Wenhuan Lu; Jianye Hao; Jianguo Wei; Ho-fung Leung (AAMAS, 2018)

Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid. - Yaodong Yang 002; Jianye Hao; Zan Wang; Mingyang Sun; Goran Strbac (AAMAS, 2018)

SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions. - Chengwei Zhang 001; Xiaohong Li 001; Jianye Hao; Siqi Chen 001; Karl Tuyls; Zhiyong Feng 002 (AAMAS, 2018)

The Dynamics of Opinion Evolution in Gossiper-Media Model with WoLS-CALA Learning. - Chengwei Zhang 001; Xiaohong Li 001; Jianye Hao; Sandip Sen; Wanli Xue; Zhiyong Feng 002 (AAMAS, 2018)

Attention-Based Recurrent Multi-Channel Neural Network for Influenza Epidemic Prediction. - Bofeng Fu; Yaodong Yang 002; Yu Ma; Jianye Hao; Siqi Chen 001; Shuang Liu 007; Tiegang Li; Zhenyu Liao; Xianglei Zhu (BIBM, 2018)

Speeding up Collective Cell Migration Using Deep Reinforcement Learning. - Tian Gan; Yaodong Yang 002; Jianye Hao; Zhenyu Liao; Xianglei Zhu (BIBM, 2018)

Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid. - Yaodong Yang 002; Jianye Hao; Mingyang Sun; Zan Wang; Changjie Fan; Goran Strbac (IJCAI, 2018)

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents. - Yan Zheng 002; Zhaopeng Meng; Jianye Hao; Zongzhang Zhang; Tianpei Yang; Changjie Fan (NeurIPS, 2018)

Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space. - Wanshu Liu; Chengwei Zhang 001; Tianpei Yang; Jianye Hao; Xiaohong Li 001; Zhijie Bao (PRICAI, 2018)

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. - Yan Zheng 002; Zhaopeng Meng; Jianye Hao; Zongzhang Zhang (PRICAI, 2018)

ESRQ: An Efficient Secure Routing Method in Wireless Sensor Networks Based on Q-Learning. - Gaosheng Liu; Xin Wang 030; Xiaohong Li 001; Jianye Hao; Zhiyong Feng 002 (TrustCom/BigDataSE, 2018)

Effective norm emergence in cell systems under limited communication. - Xiaotian Hao; Jianye Hao; Wang Li; Hanxu Hou (BMC Bioinform., 2018)

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. - Yan Zheng 002; Jianye Hao; Zongzhang Zhang (CoRR, 2018)

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

SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes. - Chengwei Zhang 001; Xiaohong Li 001; Jianye Hao; Siqi Chen 001; Karl Tuyls; Wanli Xue (CoRR, 2018)

Hierarchical Heuristic Learning towards Effcient Norm Emergence. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Sandip Sen; Sheng Jin (CoRR, 2018)

An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems. - Hongyao Tang; Li Wang; Zan Wang; Tim Baarslag; Jianye Hao (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)

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. - Tianpei Yang; Zhaopeng Meng; Jianye Hao; Chongjie Zhang; Yan Zheng 002 (CoRR, 2018)

SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions. - Chengwei Zhang 001; Xiaohong Li 001; Jianye Hao; Siqi Chen 001; Karl Tuyls; Zhiyong Feng 002; Wanli Xue; Rong Chen 003 (CoRR, 2018)

Hierarchical Deep Multiagent Reinforcement Learning. - Hongyao Tang; Jianye Hao; Tangjie Lv; Yingfeng Chen; Zongzhang Zhang; Hangtian Jia; Chunxu Ren; Yan Zheng 002; Changjie Fan; Li Wang (CoRR, 2018)

An Adaptive Learning Based Network Selection Approach for 5G Dynamic Environments. - Xiaohong Li 001; Ru Cao; Jianye Hao (Entropy, 2018)

Efficient and Robust Emergence of Norms through Heuristic Collective Learning. - Jianye Hao; Jun Sun 001; Guangyong Chen; Zan Wang; Chao Yu 004; Zhong Ming 001 (ACM Trans. Auton. Adapt. Syst., 2018)

An Adaptive Markov Strategy for Defending Smart Grid False Data Injection From Malicious Attackers. - Jianye Hao; Eunsuk Kang; Jun Sun 001; Zan Wang; Zhaopeng Meng; Xiaohong Li 001; Zhong Ming 001 (IEEE Trans. Smart Grid, 2018)

An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. - Hongyao Tang; Jianye Hao; Li Wang; Tim Baarslag; Zan Wang (AAAI, 2019)

ONECG: Online Negotiation Environment for Coalitional Games. - Siqi Chen 001; Yonghao Cui; Cong Shang; Jianye Hao; Gerhard Weiss 001 (AAMAS, 2019)

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

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Yan Zheng 002; Chongjie Zhang; Ze Zheng (AAMAS, 2019)

Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework. - Yaodong Yang 002; Jianye Hao; Yan Zheng 002; Xiaotian Hao; Bofeng Fu (AAMAS, 2019)

Reinforcement Learning for Cooperative Overtaking. - Chao Yu 004; Xin Wang 077; Jianye Hao; Zhanbo Feng (AAMAS, 2019)

Automatic Feature Engineering by Deep Reinforcement Learning. - Jianyu Zhang; Jianye Hao; Françoise Fogelman-Soulié; Zan Wang (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)

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. - Haotian Fu; Hongyao Tang; Jianye Hao; Zihan Lei; Yingfeng Chen; Changjie Fan (IJCAI, 2019)

Explicitly Coordinated Policy Iteration. - Yujing Hu; Yingfeng Chen; Changjie Fan; Jianye Hao (IJCAI, 2019)

Building Personalized Simulator for Interactive Search. - Qianlong Liu; Baoliang Cui; Zhongyu Wei; Baolin Peng; Haikuan Huang; Hongbo Deng; Jianye Hao; Xuanjing Huang 001; Kam-Fai Wong (IJCAI, 2019)

Towards Efficient Detection and Optimal Response against Sophisticated Opponents. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Chongjie Zhang; Yan Zheng 002; Ze Zheng (IJCAI, 2019)

Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. - Yaodong Yang 002; Jianye Hao; Yan Zheng 002; Chao Yu 004 (IJCAI, 2019)

Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning. - Yan Zheng 002; Changjie Fan; Xiaofei Xie; Ting Su 001; Lei Ma 003; Jianye Hao; Zhaopeng Meng; Yang Liu 003; Ruimin Shen; Yingfeng Chen (ASE, 2019)

An Efficient Handover Authentication Mechanism for 5G Wireless Network. - Kaihong Han; Maode Ma; Xiaohong Li 001; Zhiyong Feng 002; Jianye Hao (WCNC, 2019)

SA-IGA: a multiagent reinforcement learning method towards socially optimal outcomes. - Chengwei Zhang 001; Xiaohong Li 001; Jianye Hao; Siqi Chen 001; Karl Tuyls; Wanli Xue; Zhiyong Feng 002 (Auton. Agents Multi Agent Syst., 2019)

A learning-based framework for miRNA-disease association identification using neural networks. - Jiajie Peng; Weiwei Hui; Qianqian Li; Bolin Chen; Jianye Hao; Qinghua Jiang; Xuequn Shang 001; Zhongyu Wei (Bioinform., 2019)

Using deep reinforcement learning to speed up collective cell migration. - Hanxu Hou; Tian Gan; Yaodong Yang 002; Xianglei Zhu; Sen Liu; Weiming Guo; Jianye Hao (BMC Bioinform., 2019)

Attention-based recurrent neural network for influenza epidemic prediction. - Xianglei Zhu; Bofeng Fu; Yaodong Yang 002; Yu Ma; Jianye Hao; Siqi Chen 001; Shuang Liu 007; Tiegang Li; Sen Liu; Weiming Guo; Zhenyu Liao (BMC Bioinform., 2019)

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. - Hongyao Tang; Jianye Hao; Guangyong Chen; Pengfei Chen 003; Zhaopeng Meng; Yaodong Yang 002; Li Wang (CoRR, 2019)

Spectral-based Graph Convolutional Network for Directed Graphs. - Yi Ma 005; Jianye Hao; Yaodong Yang 002; Han Li 005; Junqi Jin; Guangyong Chen (CoRR, 2019)

Efficient meta reinforcement learning via meta goal generation. - Haotian Fu; Hongyao Tang; Jianye Hao (CoRR, 2019)

There is Limited Correlation between Coverage and Robustness for Deep Neural Networks. - Yizhen Dong; Peixin Zhang 001; Jingyi Wang 004; Shuang Liu 007; Jun Sun 001; Jianye Hao; Xinyu Wang 001; Li Wang; Jin Song Dong; Dai Ting (CoRR, 2019)

LoopFix: an approach to automatic repair of buggy loops. - Weichao Wang; Zhaopeng Meng; Zan Wang; Shuang Liu 007; Jianye Hao (J. Syst. Softw., 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)

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)

Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management. - Jianwen Sun; Yan Zheng 002; Jianye Hao; Zhaopeng Meng; Yang Liu 003 (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)

Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach. - Hangtian Jia; Chunxu Ren; Yujing Hu; Yingfeng Chen; Tangjie Lv; Changjie Fan; Hongyao Tang; Jianye Hao (AAMAS, 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)

Large Scale Deep Reinforcement Learning in War-games. - Hanchao Wang; Hongyao Tang; Jianye Hao; Xiaotian Hao; Yue Fu; Yi Ma 005 (BIBM, 2020)

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Chongxi Huang; Ying Wen 001; et al. (CoRL, 2020)

MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. - Haotian Fu; Hongyao Tang; Jianye Hao; Wulong Liu; Chen Chen 077 (DAI, 2020)

Faster Convention Emergence by Avoiding Local Conventions in Reinforcement Social Learning. - Muzi Liu; Ho-fung Leung; Jianye Hao (ICAISC (1), 2020)

An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks. - Yizhen Dong; Peixin Zhang 001; Jingyi Wang 004; Shuang Liu 007; Jun Sun 001; Jianye Hao; Xinyu Wang 001; Li Wang; Jin Song Dong; Ting Dai (ICECCS, 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)

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. - Xiaotian Hao; Zhaoqing Peng; Yi Ma 005; Guan Wang; Junqi Jin; Jianye Hao; Shan Chen; Rongquan Bai; Mingzhou Xie; Miao Xu; Zhenzhe Zheng; Chuan Yu; et al. (ICML, 2020)

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. - Yaodong Yang 002; Jianye Hao; Guangyong Chen; Hongyao Tang; Yingfeng Chen; Yujing Hu; Changjie Fan; Zhongyu Wei (ICML, 2020)

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. - Cong Fei; Bin Wang 034; Yuzheng Zhuang; Zongzhang Zhang; Jianye Hao; Hongbo Zhang; Xuewu Ji; Wulong Liu (IJCAI, 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)

Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning. - Ruimin Shen; Yan Zheng 002; Jianye Hao; Zhaopeng Meng; Yingfeng Chen; Changjie Fan; Yang Liu 003 (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)

A Multi-Task Reinforcement Learning Approach for Navigating Unsignalized Intersections. - Shixiong Kai; Bin Wang 034; Dong Chen; Jianye Hao; Hongbo Zhang; Wulong Liu (IV, 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)

Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning. - Jianyu Zhang; Jianye Hao; Françoise Fogelman-Soulié (PAKDD (1), 2020)

A Method for Deploying Distributed Denial of Service Attack Defense Strategies on Edge Servers Using Reinforcement Learning. - Haodi Zhang; Jianye Hao; Xiaohong Li 001 (IEEE Access, 2020)

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. - Yaodong Yang 002; Jianye Hao; Ben Liao; Kun Shao; Guangyong Chen; Wulong Liu; Hongyao Tang (CoRR, 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)

CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. - Mengyue Yang; Furui Liu; Zhitang Chen; Xinwei Shen 002; Jianye Hao; Jun Wang 012 (CoRR, 2020)

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. - Junjie Wang; Qichao Zhang; Dongbin Zhao; Mengchen Zhao; Jianye Hao (CoRR, 2020)

Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint. - Guangzheng Hu; Yuanheng Zhu; Dongbin Zhao; Mengchen Zhao; Jianye Hao (CoRR, 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)

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Aurora Chongxi Huang; Ying Wen 001; et al. (CoRR, 2020)

Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning. - Jiajun Fan; He Ba; Xian Guo; Jianye Hao (CoRR, 2020)

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. - Alexander I. Cowen-Rivers; Wenlong Lyu; Zhi Wang 001; Rasul Tutunov; Jianye Hao; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2020)

Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments. - Yan Zheng 002; Jianye Hao; Zongzhang Zhang; Zhao-Peng Meng; Xiaotian Hao (J. Comput. Sci. Technol., 2020)

Addressing Action Oscillations through Learning Policy Inertia. - Chen Chen 077; Hongyao Tang; Jianye Hao; Wulong Liu; Zhaopeng Meng (AAAI, 2021)

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)

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. - Hongyao Tang; Zhaopeng Meng; Guangyong Chen; Pengfei Chen 003; Chen Chen 077; Yaodong Yang 002; Luo Zhang; Wulong Liu; Jianye Hao (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)

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. - Mengyue Yang; Furui Liu; Zhitang Chen; Xinwei Shen 002; Jianye Hao; Jun Wang 012 (CVPR, 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)

Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. - Tong Sang; Hongyao Tang; Jianye Hao; Yan Zheng 002; Zhaopeng Meng (DAI, 2021)

Coalition-based Task Assignment in Spatial Crowdsourcing. - Yan Zhao 008; Jiannan Guo 001; Xuanhao Chen 001; Jianye Hao; Xiaofang Zhou 001; Kai Zheng 001 (ICDE, 2021)

Principled Exploration via Optimistic Bootstrapping and Backward Induction. - Chenjia Bai; Lingxiao Wang 003; Lei Han 001; Jianye Hao; Animesh Garg; Peng Liu 008; Zhaoran Wang 001 (ICML, 2021)

Relational Navigation Learning in Continuous Action Space among Crowds. - Xueyou Zhang; Wei Xi; Xian Guo; Yongchun Fang; Bin Wang 034; Wulong Liu; Jianye Hao (ICRA, 2021)

Automatic Web Testing Using Curiosity-Driven Reinforcement Learning. - Yan Zheng 002; Yi Liu 069; Xiaofei Xie; Yepang Liu 001; Lei Ma 003; Jianye Hao; Yang Liu 003 (ICSE, 2021)

A deep reinforcement learning-based agent for negotiation with multiple communication channels. - Xiaoyang Gao; Siqi Chen 001; Yan Zheng 002; Jianye Hao (ICTAI, 2021)

Ordering-Based Causal Discovery with Reinforcement Learning. - Xiaoqiang Wang 003; Yali Du 001; Shengyu Zhu 001; Liangjun Ke; Zhitang Chen; Jianye Hao; Jun Wang 012 (IJCAI, 2021)

FIGCPS: Effective Failure-inducing Input Generation for Cyber-Physical Systems with Deep Reinforcement Learning. - Shaohua Zhang; Shuang Liu 007; Jun Sun 001; Yuqi Chen 013; Wenzhi Huang; Jinyi Liu 002; Jian Liu 004; Jianye Hao (ASE, 2021)

A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. - Fei Ni 001; Jianye Hao; Jiawen Lu; Xialiang Tong; Mingxuan Yuan; Jiahui Duan; Yi Ma 005; Kun He 001 (KDD, 2021)

Dynamic Bottleneck for Robust Self-Supervised Exploration. - Chenjia Bai; Lingxiao Wang 003; Lei Han 001; Animesh Garg; Jianye Hao; Peng Liu 008; Zhaoran Wang 001 (NeurIPS, 2021)

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning. - Danruo Deng; Guangyong Chen; Jianye Hao; Qiong Wang 001; Pheng-Ann Heng (NeurIPS, 2021)

A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. - Yi Ma 005; Xiaotian Hao; Jianye Hao; Jiawen Lu; Xing Liu; Xialiang Tong; Mingxuan Yuan; Zhigang Li; Jie Tang 001; Zhaopeng Meng (NeurIPS, 2021)

Model-Based Reinforcement Learning via Imagination with Derived Memory. - Yao Mu 001; Yuzheng Zhuang; Bin Wang 034; Guangxiang Zhu; Wulong Liu; Jianyu Chen; Ping Luo 002; Shengbo Li 001; Chongjie Zhang; Jianye Hao (NeurIPS, 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)

Detecting and Learning Against Unknown Opponents for Automated Negotiations. - Leling Wu; Siqi Chen 001; Xiaoyang Gao; Yan Zheng 002; Jianye Hao (PRICAI (3), 2021)

A Graph-Enhanced Click Model for Web Search. - Jianghao Lin; Weiwen Liu; Xinyi Dai; Weinan Zhang 001; Shuai Li 010; Ruiming Tang; Xiuqiang He 001; Jianye Hao; Yong Yu 001 (SIGIR, 2021)

An Adversarial Imitation Click Model for Information Retrieval. - Xinyi Dai; Jianghao Lin; Weinan Zhang 001; Shuai Li 010; Weiwen Liu; Ruiming Tang; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Yong Yu 001 (WWW, 2021)

Efficient policy detecting and reusing for non-stationarity in Markov games. - Yan Zheng 002; Jianye Hao; Zongzhang Zhang; Zhaopeng Meng; Tianpei Yang; Yanran Li; Changjie Fan (Auton. Agents Multi Agent Syst., 2021)

An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction. - Jiajie Peng; Yuxian Wang; Jiaojiao Guan; Jingyi Li; Ruijiang Han; Jianye Hao; Zhongyu Wei; Xuequn Shang 001 (Briefings Bioinform., 2021)

Integrating multi-network topology for gene function prediction using deep neural networks. - Jiajie Peng; Hansheng Xue; Zhongyu Wei; Idil Tuncali; Jianye Hao; Xuequn Shang 001 (Briefings Bioinform., 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)

Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms. - Yunqi Wang; Furui Liu; Zhitang Chen; Qing Lian; Shoubo Hu; Jianye Hao; Yik-Chung Wu (CoRR, 2021)

Exploration in Deep Reinforcement Learning: A Comprehensive Survey. - Tianpei Yang; Hongyao Tang; Chenjia Bai; Jinyi Liu 002; Jianye Hao; Zhaopeng Meng; Peng Liu 008 (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)

Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines. - Xuejing Zheng; Chao Yu 004; Chen Chen 077; Jianye Hao; Hankz Hankui Zhuo (CoRR, 2021)

ED2: An Environment Dynamics Decomposition Framework for World Model Construction. - Cong Wang; Tianpei Yang; Jianye Hao; Yan Zheng 002; Hongyao Tang; Fazl Barez; Jinyi Liu 002; Jiajie Peng; Haiyin Piao; Zhixiao Sun (CoRR, 2021)

SC2disease: a manually curated database of single-cell transcriptome for human diseases. - Tianyi Zhao; Shuxuan Lyu; Guilin Lu; Liran Juan; Xi Zeng; Zhongyu Wei; Jianye Hao; Jiajie Peng (Nucleic Acids Res., 2021)

Generalized Centered 2-D Principal Component Analysis. - Gongyu Zhou; Guangquan Xu; Jianye Hao; Shizhan Chen; Junfeng Xu; Xi Zheng 001 (IEEE Trans. Cybern., 2021)

Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning. - Yoriyuki Yamagata; Shuang Liu 007; Takumi Akazaki; Yihai Duan; Jianye Hao (IEEE Trans. Software Eng., 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)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (AAMAS, 2022)

Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. - Zipeng Dai; Tianze Zhou; Kun Shao; David Henry Mguni; Bin Wang 034; Jianye Hao (CoRL, 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 Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. - Yining Li; Tianpei Yang; Jianye Hao; Yan Zheng 002; Hongyao Tang (DAI, 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)

Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. - Chang Feng; Wenlong Lyu; Zhitang Chen; Junjie Ye; Mingxuan Yuan; Jianye Hao (ICCAD, 2022)

Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. - Xinyi Zhou 010; Junjie Ye; Chak-Wa Pui; Kun Shao; Guangliang Zhang; Bin Wang 034; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (ICCAD, 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)

Online Ad Hoc Teamwork under Partial Observability. - Pengjie Gu; Mengchen Zhao; Jianye Hao; Bo An 001 (ICLR, 2022)

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. - Boyan Li; Hongyao Tang; Yan Zheng 002; Jianye Hao; Pengyi Li 001; Zhen Wang 004; Zhaopeng Meng; Li Wang (ICLR, 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)

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. - Pengyi Li 001; Hongyao Tang; Tianpei Yang; Xiaotian Hao; Tong Sang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor; Wenyuan Tao; Zhen Wang 004 (ICML, 2022)

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. - Minghuan Liu; Zhengbang Zhu; Yuzheng Zhuang; Weinan Zhang 001; Jianye Hao; Yong Yu 001; Jun Wang 012 (ICML, 2022)

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)

Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. - Jiayu Miao; Tianze Zhou; Kun Shao; Ming Zhou 006; Weinan Zhang 001; Jianye Hao; Yong Yu 001; Jun Wang 012 (ICRA, 2022)

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. - Tong Sang; Hongyao Tang; Yi Ma 005; Jianye Hao; Yan Zheng 002; Zhaopeng Meng; Boyan Li; Zhen Wang 004 (IJCAI, 2022)

RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement. - Xiaopeng Zhang 009; Shoubo Hu; Zhitang Chen; Shengyu Zhu 001; Evangeline F. Y. Young; Pengyun Li; Cheng Chen; Yu Huang 005; Jianye Hao (ITC, 2022)

Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding. - Mohammad Amini; Zhanguang Zhang; Surya Penmetsa; Yingxue Zhang 001; Jianye Hao; Wulong Liu (KDD, 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)

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)

GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. - Yushi Cao; Zhiming Li; Tianpei Yang; Hao Zhang 004; Yan Zheng 002; Yi Li 008; Jianye Hao; Yang Liu 003 (NeurIPS, 2022)

The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design. - Ruoyu Cheng; Xianglong Lyu; Yang Li 197; Junjie Ye; Jianye Hao; Junchi Yan (NeurIPS, 2022)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Matthew E. Taylor; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (NeurIPS, 2022)

DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. - Yao Mu 001; Yuzheng Zhuang; Fei Ni 001; Bin Wang 034; Jianyu Chen; Jianye Hao; Ping Luo 002 (NeurIPS, 2022)

Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning. - Zifan Wu; Chao Yu 004; Chen Chen 077; Jianye Hao; Hankz Hankui Zhuo (NeurIPS, 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)

Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. - Zeren Huang; Wenhao Chen; Weinan Zhang 001; Chuhan Shi; Furui Liu; Hui-Ling Zhen; Mingxuan Yuan; Jianye Hao; Yong Yu 001; Jun Wang 012 (ECML/PKDD (5), 2022)

Cross-domain adaptive transfer reinforcement learning based on state-action correspondence. - Heng You; Tianpei Yang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor (UAI, 2022)

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. - Yankai Chen 001; Menglin Yang 001; Yingxue Zhang 001; Mengchen Zhao; Ziqiao Meng; Jianye Hao; Irwin King (WSDM, 2022)

A review and performance evaluation of clustering frameworks for single-cell Hi-C data. - Caiwei Zhen; Yuxian Wang; Jiaquan Geng; Lu Han; Jingyi Li; Jinghao Peng; Tao Wang 082; Jianye Hao; Xuequn Shang 001; Zhongyu Wei; Peican Zhu; Jiajie Peng (Briefings Bioinform., 2022)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Xu Chen 017 (CoRR, 2022)

Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. - Jianye Hao; Jiawen Lu; Xijun Li; Xialiang Tong; Xiang Xiang 001; Mingxuan Yuan; Hankz Hankui Zhuo (CoRR, 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)

Generalizable Information Theoretic Causal Representation. - Mengyue Yang; Xinyu Cai; Furui Liu; Xu Chen 017; Zhitang Chen; Jianye Hao; Jun Wang 012 (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)

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. - Pengyi Li 001; Hongyao Tang; Tianpei Yang; Xiaotian Hao; Tong Sang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor; Zhen Wang 004 (CoRR, 2022)

Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes. - Min Zhang; Hongyao Tang; Jianye Hao; Yan Zheng 002 (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)

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. - Yao Mu 001; Yuzheng Zhuang; Fei Ni 001; Bin Wang 034; Jianyu Chen; Jianye Hao; Ping Luo 002 (CoRR, 2022)

GFlowCausal: Generative Flow Networks for Causal Discovery. - Wenqian Li; Yinchuan Li; Shengyu Zhu 001; Yunfeng Shao 001; Jianye Hao; Yan Pang (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)

ERL-Re2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. - Pengyi Li 001; Hongyao Tang; Jianye Hao; Yan Zheng 002; Xian Fu; Zhaopeng Meng (CoRR, 2022)

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow. - Zhengbang Zhu; Shenyu Zhang; Yuzheng Zhuang; Yuecheng Liu; Minghuan Liu; Liyuan Mao; Ziqing Gong; Weinan Zhang 001; Shixiong Kai; Qiang Gu; Bin Wang 034; Siyuan Cheng 012; et al. (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)

Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents. - Minghuan Liu; Zhengbang Zhu; Menghui Zhu; Yuzheng Zhuang; Weinan Zhang 001; 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)

HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. - Alexander I. Cowen-Rivers; Wenlong Lyu; Rasul Tutunov; Zhi Wang 001; Antoine Grosnit; Ryan-Rhys Griffiths; Alexandre Max Maraval; Jianye Hao; Jun Wang 012; Jan Peters 001; Haitham Bou-Ammar (J. Artif. Intell. Res., 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)

SCC-rFMQ: a multiagent reinforcement learning method in cooperative Markov games with continuous actions. - Chengwei Zhang 001; Zhuobing Han; Bingfu Liu; Wanli Xue; Jianye Hao; Xiaohong Li 001; Dou An; Rong Chen 003 (Int. J. Mach. Learn. Cybern., 2022)

Learning to select cuts for efficient mixed-integer programming. - Zeren Huang; Kerong Wang; Furui Liu; Hui-Ling Zhen; Weinan Zhang 001; Mingxuan Yuan; Jianye Hao; Yong Yu 001; Jun Wang 012 (Pattern Recognit., 2022)

SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem. - Hebin Liang; Yi Ma 005; Zilin Cao; Tianyang Liu; Fei Ni 001; Zhigang Li; Jianye Hao (AAAI, 2023)

Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. - Mehrtash Mehrabi; Walid Masoudimansour; Yingxue Zhang 001; Jie Chuai; Zhitang Chen; Mark Coates; Jianye Hao; Yanhui Geng (AAAI, 2023)

Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. - Yuening Wang; Yingxue Zhang 001; Antonios Valkanas; Ruiming Tang; Chen Ma 001; Jianye Hao; Mark Coates (AAAI, 2023)

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. - Zifan Wu; Chao Yu 004; Chen Chen 077; Jianye Hao; Hankz Hankui Zhuo (AAAI, 2023)

Spectral Augmentations for Graph Contrastive Learning. - Amur Ghose; Yingxue Zhang 001; Jianye Hao; Mark Coates (AISTATS, 2023)

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)

Transfer Learning based Agent for Automated Negotiation. - Siqi Chen 001; Qisong Sun; Heng You; Tianpei Yang; Jianye Hao (AAMAS, 2023)

A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving. - Hebin Liang; Zibin Dong; Yi Ma 005; Xiaotian Hao; Yan Zheng 002; Jianye Hao (CIKM, 2023)

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)

Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pretrained Rewards. - Mingyang Sun; Mengchen Zhao; Yaqing Hou; Minglei Li 001; Huang Xu 003; Songcen Xu; Jianye Hao (CVPR, 2023)

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow. - Zhengbang Zhu; Shenyu Zhang; Yuzheng Zhuang; Yuecheng Liu; Minghuan Liu; Ziqing Gong; Shixiong Kai; Qiang Gu; Bin Wang 034; Siyuan Cheng 012; Xinyu Wang 001; Jianye Hao; et al. (DAI, 2023)

TOFU: A Two-Step Floorplan Refinement Framework for Whitespace Reduction. - Shixiong Kai; Chak-Wa Pui; Fangzhou Wang; Shougao Jiang; Bin Wang 034; Yu Huang 005; Jianye Hao (DATE, 2023)

BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. - Junyi Wang; Yuanyang Zhu; Zhi Wang 001; Yan Zheng 002; Jianye Hao; Chunlin Chen (ECAI, 2023)

Limited Information Opponent Modeling. - Yongliang Lv; Yuanqiang Yu; Yan Zheng 002; Jianye Hao; Yongming Wen; Yue Yu (ICANN (8), 2023)

EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. - Peiyu Wang; Anqi Lu; Xing Li; Junjie Ye; Lei Chen 031; Mingxuan Yuan; Jianye Hao; Junchi Yan (ICCAD, 2023)

EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment. - Jianyong Yuan; Peiyu Wang; Junjie Ye; Mingxuan Yuan; Jianye Hao; Junchi Yan (ICCAD, 2023)

Traj-MAE: Masked Autoencoders for Trajectory Prediction. - Hao Chen 011; Jiaze Wang; Kun Shao; Furui Liu; Jianye Hao; Chenyong Guan; Guangyong Chen; Pheng-Ann Heng (ICCV, 2023)

Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. - Jiajun Fan; Yuzheng Zhuang; Yuecheng Liu; Jianye Hao; Bin Wang 034; Jiangcheng Zhu; Hao Wang 049; Shu-Tao Xia (ICLR, 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)

ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. - Jianye Hao; Pengyi Li 001; Hongyao Tang; Yan Zheng 002; Xian Fu; Zhaopeng Meng (ICLR, 2023)

DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks. - Wenqian Li; Yinchuan Li; Zhigang Li; Jianye Hao; Yan Pang (ICLR, 2023)

GFlowNets with Human Feedback. - Yinchuan Li; Shuang Luo; Yunfeng Shao 001; Jianye Hao (Tiny Papers @ ICLR, 2023)

CFlowNets: Continuous Control with Generative Flow Networks. - Yinchuan Li; Shuang Luo; Haozhi Wang; Jianye Hao (ICLR, 2023)

Regularized Offline GFlowNets. - Haozhi Wang; Yunfeng Shao 001; Jianye Hao; Yinchuan Li (Tiny Papers @ ICLR, 2023)

Out-of-distribution Detection with Implicit Outlier Transformation. - Qizhou Wang; Junjie Ye; Feng Liu 003; Quanyu Dai; Marcus Kalander; Tongliang Liu; Jianye Hao; Bo Han 003 (ICLR, 2023)

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. - Yifu Yuan; Jianye Hao; Fei Ni 001; Yao Mu 001; Yan Zheng 002; Yujing Hu; Jinyi Liu 002; Yingfeng Chen; Changjie Fan (ICLR, 2023)

ChiPFormer: Transferable Chip Placement via Offline Decision Transformer. - Yao Lai; Jinxin Liu; Zhentao Tang; Bin Wang 034; Jianye Hao; Ping Luo 002 (ICML, 2023)

RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. - Pengyi Li 001; Jianye Hao; Hongyao Tang; Yan Zheng 002; Xian Fu (ICML, 2023)

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. - Fei Ni 001; Jianye Hao; Yao Mu 001; Yifu Yuan; Yan Zheng 002; Bin Wang 034; Zhixuan Liang (ICML, 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)

Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. - Yinchuan Li; Zhigang Li; Wenqian Li; Yunfeng Shao 001; Yan Zheng 002; Jianye Hao (IJCAI, 2023)

T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler. - Yuanqiang Yu; Tianpei Yang; Yongliang Lv; Yan Zheng 002; Jianye Hao (IJCNN, 2023)

Generalized Universal Domain Adaptation with Generative Flow Networks. - Didi Zhu; Yinchuan Li; Yunfeng Shao 001; Jianye Hao; Fei Wu 001; Kun Kuang; Jun Xiao 001; Chao Wu 001 (ACM Multimedia, 2023)

Transfer Reinforcement Learning Based Negotiating Agent Framework. - Siqi Chen 001; Tianpei Yang; Heng You; Jianing Zhao; Jianye Hao; Gerhard Weiss 001 (PAKDD (2), 2023)

RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. - Jing Wang 055; Mengchen Zhao; Wei Xia 001; Zhenhua Dong; Ruiming Tang; Rui Zhang 003; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (PAKDD (3), 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)

Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization. - Junlong Lyu; Zhitang Chen; Wenlong Lyu; Jianye Hao (CoRR, 2023)

The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting. - Hongyao Tang; Min Zhang; Jianye Hao (CoRR, 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)

Multi-agent Policy Reciprocity with Theoretical Guarantee. - Haozhi Wang; Yinchuan Li; Qing Wang 015; Yunfeng Shao 001; Jianye Hao (CoRR, 2023)

Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning. - Xuechen Mu; Hankz Hankui Zhuo; Chen Chen 077; Kai Zhang 012; Chao Yu 004; Jianye Hao (CoRR, 2023)

Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning. - Jinyi Liu 002; Yi Ma 005; Jianye Hao; Yujing Hu; Yan Zheng 002; Tangjie Lv; Changjie Fan (CoRR, 2023)

VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder. - Yueen Ma 001; Dafeng Chi; Jingjing Li 007; Yuzheng Zhuang; Jianye Hao; Irwin King (CoRR, 2023)

Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. - Filippos Christianos; Georgios Papoudakis; Matthieu Zimmer; Thomas Coste; Zhihao Wu; Jingxuan Chen; Khyati Khandelwal; James Doran; Xidong Feng; Jiacheng Liu; Zheng Xiong; Yicheng Luo; et al. (CoRR, 2023)

Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. - Yunqi Wang; Furui Liu; Zhitang Chen; Yik-Chung Wu; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (IEEE Trans. Image Process., 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)

A benchmark for automatic medical consultation system: frameworks, tasks and datasets. - Wei Chen 088; Zhiwei Li; Hongyi Fang; Qianyuan Yao; Cheng Zhong; Jianye Hao; Qi Zhang 001; Xuanjing Huang 001; Jiajie Peng; Zhongyu Wei (Bioinform., 2023)

A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation. - Ran Chen 001; Shoubo Hu; Zhitang Chen; Shengyu Zhu 001; Bei Yu 001; Pengyun Li; Cheng Chen; Yu Huang 005; Jianye Hao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Accelerating deep reinforcement learning via knowledge-guided policy network. - Yuanqiang Yu; Peng Zhang; Kai Zhao; Yan Zheng 002; Jianye Hao (Auton. Agents Multi Agent Syst., 2023)

Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. - Guangzheng Hu; Yuanheng Zhu; Dongbin Zhao; Mengchen Zhao; Jianye Hao (IEEE Trans. Neural Networks Learn. Syst., 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)

Empirical Policy Optimization for n-Player Markov Games. - Yuanheng Zhu; Weifan Li; Mengchen Zhao; Jianye Hao; Dongbin Zhao (IEEE Trans. Cybern., 2023)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Jiarui Jin; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Weiqi Shao; Jun Wang 012; Xu Chen 017 (ACM Trans. Inf. Syst., 2023)

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. - Jinyi Liu 002; Zhi Wang 001; Yan Zheng 002; Jianye Hao; Chenjia Bai; Junjie Ye; Zhen Wang 004; Haiyin Piao; Yang Sun (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)

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)

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. - Tianpei Yang; Heng You; Jianye Hao; Yan Zheng 002; Matthew E. Taylor (AAAI, 2024)

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. - Ruizhe Zhong; Junjie Ye; Zhentao Tang; Shixiong Kai; Mingxuan Yuan; Jianye Hao; Junchi Yan (AAAI, 2024)

EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. - Mohammad Dehghan; Mohammad Ali Alomrani; Sunyam Bagga; David Alfonso-Hermelo; Khalil Bibi; Abbas Ghaddar; Yingxue Zhang 001; Xiaoguang Li; Jianye Hao; Qun Liu 001; Jimmy Lin; Boxing Chen; et al. (ACL (1), 2024)

A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning. - Jinyi Liu 002; Yi Ma 005; Jianye Hao; Yujing Hu; Yan Zheng 002; Tangjie Lv; Changjie Fan (AAMAS, 2024)

PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning. - Hao Zhang 004; Tianpei Yang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor (AAMAS, 2024)

vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. - Yiwen Zhu; Jinyi Liu 002; Wenya Wei; Qianyi Fu; Yujing Hu; Zhou Fang; Bo An 001; Jianye Hao; Tangjie Lv; Changjie Fan (AAMAS, 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)

Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts. - Fei Ni 001; Jianye Hao; Shiguang Wu 001; Longxin Kou; Jiashun Liu; Yan Zheng 002; Bin Wang 034; Yuzheng Zhuang (CVPR, 2024)

Generalizable and Relation Sensitive Netlist Representation for Analog Circuit Design. - Surya Penmetsa; Fahad Rahman Amik; Zhanguang Zhang; Yingying Fu; Yingxue Zhang 001; Wulong Liu; Jianye Hao (ACM Great Lakes Symposium on VLSI, 2024)

JigsawPlanner: Jigsaw-like Floorplanner for Eliminating Whitespace and Overlap among Complex Rectilinear Modules. - Xingbo Du; Ruizhe Zhong; Shixiong Kai; Zhentao Tang; Siyuan Xu; Jianye Hao; Mingxuan Yuan; Junchi Yan (ICCAD, 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)

AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. - Zibin Dong; Yifu Yuan; Jianye Hao; Fei Ni 001; Yao Mu 001; Yan Zheng 002; Yujing Hu; Tangjie Lv; Changjie Fan; Zhipeng Hu (ICLR, 2024)

Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. - Yufei Kuang; Jie Wang 005; Haoyang Liu 002; Fangzhou Zhu; Xijun Li; Jia Zeng; Jianye Hao; Bin Li 025; Feng Wu 001 (ICLR, 2024)

Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback. - Yifu Yuan; Jianye Hao; Yi Ma 005; Zibin Dong; Hebin Liang; Jinyi Liu 002; Zhixin Feng; Kai Zhao; Yan Zheng 002 (ICLR, 2024)

Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. - Yaodong Yang 002; Guangyong Chen; Jianye Hao; Pheng-Ann Heng (ICML, 2024)

Reinforcement Learning within Tree Search for Fast Macro Placement. - Zijie Geng; Jie Wang 005; Ziyan Liu; Siyuan Xu; Zhentao Tang; Mingxuan Yuan; Jianye Hao; Yongdong Zhang 001; Feng Wu 001 (ICML, 2024)

KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations. - Longxin Kou; Fei Ni 001; Yan Zheng 002; Jinyi Liu 002; Yifu Yuan; Zibin Dong; Jianye Hao (ICML, 2024)

Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph. - Yufei Kuang; Jie Wang 005; Yuyan Zhou; Xijun Li; Fangzhou Zhu; Jianye Hao; Feng Wu 001 (ICML, 2024)

EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search. - Pengyi Li 001; Yan Zheng 002; Hongyao Tang; Xian Fu; Jianye Hao (ICML, 2024)

Value-Evolutionary-Based Reinforcement Learning. - Pengyi Li 001; Jianye Hao; Hongyao Tang; Yan Zheng 002; Fazl Barez (ICML, 2024)

Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation. - Jiashun Liu; Jianye Hao; Yi Ma 005; Shuyin Xia (ICML, 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)

Rethinking Decision Transformer via Hierarchical Reinforcement Learning. - Yi Ma 005; Jianye Hao; Hebin Liang; Chenjun Xiao (ICML, 2024)

A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. - Zhihai Wang; Lei Chen 031; Jie Wang 005; Yinqi Bai; Xing Li; Xijun Li; Mingxuan Yuan; Jianye Hao; Yongdong Zhang 001; Feng Wu 001 (ICML, 2024)

A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design. - Zhihai Wang; Jie Wang 005; Dongsheng Zuo; Yunjie Ji; Xilin Xia; Yuzhe Ma; Jianye Hao; Mingxuan Yuan; Yongdong Zhang 001; Feng Wu 001 (ICML, 2024)

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting. - Da Wang; Lin Li 090; Wei Wei 018; Qixian Yu; Jianye Hao; Jiye Liang (ICML, 2024)

Safe Table Tennis Swing Stroke with Low-Cost Hardware. - Francesco Cursi; Marcus Kalander; Shuang Wu 005; Xidi Xue; Yu Tian; Guangjian Tian; Xingyue Quan; Jianye Hao (ICRA, 2024)

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles. - Kai Zhao; Jianye Hao; Yi Ma 005; Jinyi Liu 002; Yan Zheng 002; Zhaopeng Meng (IJCAI, 2024)

vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. - Yiwen Zhu; Jinyi Liu 002; Wenya Wei; Qianyi Fu; Yujing Hu; Zhou Fang; Bo An 001; Jianye Hao; Tangjie Lv; Changjie Fan (IJCAI, 2024)

DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. - Jingwei Wang 002; Qianyue Hao; Wenzhen Huang; Xiaochen Fan; Zhentao Tang; Bin Wang 034; Jianye Hao; Yong Li 008 (KDD, 2024)

GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. - Zhanguang Zhang; Didier Chételat; Joseph Cotnareanu; Amur Ghose; Wenyi Xiao; Hui-Ling Zhen; Yingxue Zhang 001; Jianye Hao; Mark Coates; Mingxuan Yuan (KDD, 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)

Iteratively Refined Behavior Regularization for Offline Reinforcement Learning. - Yi Ma 005; Jianye Hao; Xiaohan Hu; Yan Zheng 002; Chenjun Xiao (NeurIPS, 2024)

DiffuserLite: Towards Real-time Diffusion Planning. - Zibin Dong; Jianye Hao; Yifu Yuan; Fei Ni 001; Yitian Wang; Pengyi Li 001; Yan Zheng 002 (NeurIPS, 2024)

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making. - Zibin Dong; Yifu Yuan; Jianye Hao; Fei Ni 001; Yi Ma 005; Pengyi Li 001; Yan Zheng 002 (NeurIPS, 2024)

Unlock the Intermittent Control Ability of Model Free Reinforcement Learning. - Jiashun Liu; Jianye Hao; Xiaotian Hao; Yi Ma 005; Yan Zheng 002; Yujing Hu; Tangjie Lv (NeurIPS, 2024)

PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation. - Fei Ni 001; Jianye Hao; Shiguang Wu 001; Longxin Kou; Yifu Yuan; Zibin Dong; Jinyi Liu 002; Mingzhi Li; Yuzheng Zhuang; Yan Zheng 002 (NeurIPS, 2024)

The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space. - Hongyao Tang; Min Zhang; Chen Chen 077; Jianye Hao (NeurIPS, 2024)

Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework. - Zhihai Wang; Jie Wang 005; Qingyue Yang; Yinqi Bai; Xing Li; Lei Chen 031; Jianye Hao; Mingxuan Yuan; Bin Li 025; Yongdong Zhang 001; Feng Wu 001 (NeurIPS, 2024)

FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation. - Ruizhe Zhong; Xingbo Du; Shixiong Kai; Zhentao Tang; Siyuan Xu; Jianye Hao; Mingxuan Yuan; Junchi Yan (NeurIPS, 2024)

Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search. - Jiashun Liu; Xiaotian Hao; Jianye Hao; Yan Zheng 002; Yujing Hu; Changjie Fan; Tangjie Lv; Zhipeng Hu (UAI, 2024)

The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. - Shiwei Zhao; Xi Yuan; Runze Wu 001; Zhipeng Hu; Haoyu Liu; Kai Wang 064; Yujing Hu; Tangjie Lv; Changjie Fan; Xin T. Tong; Jiangze Han; Yan Zheng 002; et al. (WWW (Companion Volume), 2024)

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. - Xijun Li; Fangzhou Zhu; Hui-Ling Zhen; Weilin Luo; Meng Lu; Yimin Huang; Zhenan Fan; Zirui Zhou; Yufei Kuang; Zhihai Wang; Zijie Geng; Yang Li 197; et al. (CoRR, 2024)

Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey. - Pengyi Li 001; Jianye Hao; Hongyao Tang; Xian Fu; Yan Zheng 002; Ke Tang (CoRR, 2024)

LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation. - Ruizhe Zhong; Xingbo Du; Shixiong Kai; Zhentao Tang; Siyuan Xu; Hui-Ling Zhen; Jianye Hao; Qiang Xu 001; Mingxuan Yuan; Junchi Yan (CoRR, 2024)

Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models. - Jinyi Liu 002; Yifu Yuan; Jianye Hao; Fei Ni 001; Lingzhi Fu; Yibin Chen; Yan Zheng 002 (CoRR, 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)

SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models. - Yibin Chen; Yifu Yuan; Zeyu Zhang; Yan Zheng 002; Jinyi Liu 002; Fei Ni 001; Jianye Hao (CoRR, 2024)

A Survey on Vision-Language-Action Models for Embodied AI. - Yueen Ma 001; Zixing Song; Yuzheng Zhuang; Jianye Hao; Irwin King (CoRR, 2024)

ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. - Christopher E. Mower; Yuhui Wan; Hongzhan Yu; Antoine Grosnit; Jonas Gonzalez-Billandon; Matthieu Zimmer; Jinlong Wang; Xinyu Zhang; Yao Zhao; Anbang Zhai; Puze Liu; Davide Tateo; et al. (CoRR, 2024)

MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning. - Min Zhang; Jianye Hao; Xian Fu; Peilong Han; Hao Zhang 004; Lei Shi; Hongyao Tang; Yan Zheng 002 (CoRR, 2024)

CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis. - Yihang Xiao; Jinyi Liu 002; Yan Zheng 002; Xiaohan Xie; Jianye Hao; Mingzhi Li; Ruitao Wang; Fei Ni 001; Yuxiao Li; Jintian Luo; Shaoqing Jiao; Jiajie Peng (CoRR, 2024)

Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms. - Zhihai Wang; Zijie Geng; Zhaojie Tu; Jie Wang 005; Yuxi Qian; Zhexuan Xu; Ziyan Liu; Siyuan Xu; Zhentao Tang; Shixiong Kai; Mingxuan Yuan; Jianye Hao; et al. (CoRR, 2024)

Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning. - Yueen Ma 001; Dafeng Chi; Shiguang Wu 004; Yuecheng Liu; Yuzheng Zhuang; Jianye Hao; Irwin King (CoRR, 2024)

MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning. - Yifu Yuan; Zhenrui Zheng; Zibin Dong; Jianye Hao (CoRR, 2024)

Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data. - Jiaming Zhou; Abbas Ghaddar; Ge Zhang; Liheng Ma; Yaochen Hu 001; Soumyasundar Pal; Mark Coates; Bin Wang 034; Yingxue Zhang 001; Jianye Hao (CoRR, 2024)

ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models. - Lingfeng Zhang; Yuening Wang; Hongjian Gu; Atia Hamidizadeh; Zhanguang Zhang; Yuecheng Liu; Yutong Wang; David Gamaliel Arcos Bravo; Junyi Dong; Shunbo Zhou; Tongtong Cao; Yuzheng Zhuang; et al. (CoRR, 2024)

DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents. - Taiyi Wang; Zhihao Wu; Jianheng Liu; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2024)

SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation. - Xinyi Zhou 010; Xing Li; Yingzhao Lian; Yiwen Wang; Lei Chen 031; Mingxuan Yuan; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (CoRR, 2024)

The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation. - Reza Moravej; Saurabh Bodhe; Zhanguang Zhang; Didier Chételat; Dimitrios Tsaras; Yingxue Zhang 001; Hui-Ling Zhen; Jianye Hao; Mingxuan Yuan (CoRR, 2024)

Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level. - Antoine Grosnit; Alexandre Maraval; James Doran; Giuseppe Paolo; Albert Thomas 001; Refinath Shahul Hameed Nabeezath Beevi; Jonas Gonzalez; Khyati Khandelwal; Ignacio Iacobacci; Abdelhakim Benechehab; Hamza Cherkaoui; Youssef Attia El Hili; et al. (CoRR, 2024)

Path-of-Thoughts: Extracting and Following Paths for Robust Relational Reasoning with Large Language Models. - Ge Zhang; Mohammad Ali Alomrani; Hongjian Gu; Jiaming Zhou; Yaochen Hu 001; Bin Wang 034; Qun Liu 001; Mark Coates; Yingxue Zhang 001; Jianye Hao (CoRR, 2024)

Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. - Chenjia Bai; Lingxiao Wang 003; Jianye Hao; Zhuoran Yang; Bin Zhao 001; Zhen Wang 004; Xuelong Li 001 (Artif. Intell., 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)

Exploiting counter-examples for active learning with partial labels. - Fei Zhang; Yunjie Ye; Lei Feng 006; Zhongwen Rao; Jieming Zhu; Marcus Kalander; Chen Gong 002; Jianye Hao; Bo Han 003 (Mach. Learn., 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)

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. - Jianye Hao; Tianpei Yang; Hongyao Tang; Chenjia Bai; Jinyi Liu 002; Zhaopeng Meng; Peng Liu 008; Zhen Wang 004 (IEEE Trans. Neural Networks Learn. Syst., 2024)

WToE: Learning When to Explore in Multiagent Reinforcement Learning. - Shaokang Dong; Hangyu Mao; Shangdong Yang; Shengyu Zhu 001; Wenbin Li 006; Jianye Hao; Yang Gao 001 (IEEE Trans. Cybern., 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)

Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction. - Yixing Lan; Xin Xu 001; Qiang Fang; Jianye Hao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning. - Da Wang; Lin Li 090; Wei Wei 018; Qixian Yu; Jianye Hao; Jiye Liang (AAAI, 2025)

SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates. - Xi Zeng; Fei Ni 001; Shaoqing Jiao; Dazhi Lu; Jianye Hao; Jiajie Peng (AAAI, 2025)

War of Thoughts: Competition Stimulates Stronger Reasoning in Large Language Models. - Yibin Chen; Jinyi Liu 002; Yan Zheng 002; Yifu Yuan; Jianye Hao (ACL (Findings), 2025)

DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering. - Rong Cheng; Jinyi Liu 002; Yan Zheng 002; Fei Ni 001; Jiazhen Du; Hangyu Mao; Fuzheng Zhang; Bo Wang 027; Jianye Hao (ACL (1), 2025)

PCBAgent: An Agent-based Framework for High-Density Printed Circuit Board Placement. - Lin Chen 029; Ran Chen 001; Shoubo Hu; Xufeng Yao; Zhentao Tang; Shixiong Kai; Siyuan Xu; Mingxuan Yuan; Jianye Hao; Bei Yu 001; Jiang Xu 001 (ASP-DAC, 2025)

Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation. - Qi Lv 001; Hao Li; Xiang Deng; Rui Shao 001; Yinchuan Li; Jianye Hao; Longxiang Gao; Michael Yu Wang; Liqiang Nie (CVPR, 2025)

EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights. - Zhenghao Xing; Hao Chen 011; Binzhu Xie; Jiaqi Xu; Ziyu Guo; Xuemiao Xu; Jianye Hao; Chi-Wing Fu; Xiaowei Hu 001; Pheng-Ann Heng (CVPR, 2025)

Circuit Synthesis based on Hierarchical Conditional Diffusion. - Xinyi Zhou 010; Xing Li; Yingzhao Lian; Yiwen Wang; Lei Chen 031; Mingxuan Yuan; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (ACM Great Lakes Symposium on VLSI, 2025)

Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming. - Haoyang Liu 002; Jie Wang 005; Zijie Geng; Xijun Li; Yuxuan Zong; Fangzhou Zhu; Jianye Hao; Feng Wu 001 (ICLR, 2025)

A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization. - Yinqi Bai; Jie Wang 005; Lei Chen 031; Zhihai Wang; Yufei Kuang; Mingxuan Yuan; Jianye Hao; Feng Wu 001 (ICLR, 2025)

Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation. - Jingxuan Chen; Derek Yuen; Bin Xie; Yuhao Yang; Gongwei Chen; Zhihao Wu; Li Yixing; Xurui Zhou; Weiwen Liu; Shuai Wang 020; Kaiwen Zhou; Rui Shao 001; et al. (ICLR, 2025)

Lightweight Neural App Control. - Filippos Christianos; Georgios Papoudakis; Thomas Coste; Jianye Hao; Jun Wang 012; Kun Shao (ICLR, 2025)

3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds. - Hengshuo Chu; Xiang Deng; Qi Lv 001; Xiaoyang Chen; Yinchuan Li; Jianye Hao; Liqiang Nie (ICLR, 2025)

LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement. - Zijie Geng; Jie Wang 005; Ziyan Liu; Siyuan Xu; Zhentao Tang; Shixiong Kai; Mingxuan Yuan; Jianye Hao; Feng Wu 001 (ICLR, 2025)

Differentiable Integer Linear Programming. - Zijie Geng; Jie Wang 005; Xijun Li; Fangzhou Zhu; Jianye Hao; Bin Li 025; Feng Wu 001 (ICLR, 2025)

DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent. - Taiyi Wang; Zhihao Wu; Jianheng Liu; Jianye Hao; Jun Wang 012; Kun Shao (ICLR, 2025)

Computing Circuits Optimization via Model-Based Circuit Genetic Evolution. - Zhihai Wang; Jie Wang 005; Xilin Xia; Dongsheng Zuo; Lei Chen 031; Yuzhe Ma; Jianye Hao; Mingxuan Yuan; Feng Wu 001 (ICLR, 2025)

Enhancing Graph-based Coordination with Evolutionary Algorithms for Episodic Multi-agent Reinforcement Learning. - Kexing Peng; Pengyi Li 001; Jianye Hao (AAMAS, 2025)

CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning. - Jingwei Wang 002; Qianyue Hao; Wenzhen Huang; Xiaochen Fan; Qin Zhang 011; Zhentao Tang; Bin Wang 034; Jianye Hao; Yong Li 008 (KDD (1), 2025)

SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models. - Yibin Chen; Yifu Yuan; Zeyu Zhang; Yan Zheng 002; Jinyi Liu 002; Fei Ni 001; Jianye Hao; Hangyu Mao; Fuzheng Zhang (WWW, 2025)

Hierarchical task network-enhanced multi-agent reinforcement learning: Toward efficient cooperative strategies. - Xuechen Mu; Hankz Hankui Zhuo; Chen Chen 077; Kai Zhang 012; Chao Yu 004; Jianye Hao (Neural Networks, 2025)

SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning. - Yuecheng Liu; Dafeng Chi; Shiguang Wu 004; Zhanguang Zhang; Yaochen Hu 001; Lingfeng Zhang; Yingxue Zhang 001; Shuang Wu 005; Tongtong Cao; Guowei Huang; Helong Huang; Guangjian Tian; et al. (CoRR, 2025)

3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow. - Yueen Ma 001; Yuzheng Zhuang; Jianye Hao; Irwin King (CoRR, 2025)

Trajectory World Models for Heterogeneous Environments. - Shaofeng Yin; Jialong Wu 001; Siqiao Huang; Xingjian Su; Xu He; Jianye Hao; Mingsheng Long (CoRR, 2025)

AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference. - Qingyue Yang; Jie Wang 005; Xing Li; Zhihai Wang; Chen Chen 077; Lei Chen 031; Xianzhi Yu; Wulong Liu; Jianye Hao; Mingxuan Yuan; Bin Li 025 (CoRR, 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)

AppVLM: A Lightweight Vision Language Model for Online App Control. - Georgios Papoudakis; Thomas Coste; Zhihao Wu; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

VSC-RL: Advancing Autonomous Vision-Language Agents with Variational Subgoal-Conditioned Reinforcement Learning. - Qingyuan Wu; Jianheng Liu; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation. - Lingfeng Zhang; Yuecheng Liu; Zhanguang Zhang; Matin Aghaei; Yaochen Hu 001; Hongjian Gu; Mohammad Ali Alomrani; David Gamaliel Arcos Bravo; Raika Karimi; Atia Hamidizadeh; Haoping Xu; Guowei Huang; et al. (CoRR, 2025)

Generative Models in Decision Making: A Survey. - Yinchuan Li; Xinyu Shao; Jianping Zhang; Haozhi Wang; Leo Maxime Brunswic; Kaiwen Zhou; Jiqian Dong; Kaiyang Guo; Xiu Li 001; Zhitang Chen; Jun Wang 012; Jianye Hao (CoRR, 2025)

AhaRobot: A Low-Cost Open-Source Bimanual Mobile Manipulator for Embodied AI. - Haiqin Cui; Yifu Yuan; Yan Zheng 002; Jianye Hao (CoRR, 2025)

From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models. - Jinyi Liu 002; Yan Zheng 002; Rong Cheng; Qiyu Wu 006; Wei Guo; Fei Ni 001; Hebin Liang; Yifu Yuan; Hangyu Mao; Fuzheng Zhang; Jianye Hao (CoRR, 2025)

ViMo: A Generative Visual GUI World Model for App Agent. - Dezhao Luo; Bohan Tang; Kang Li; Georgios Papoudakis; Jifei Song; Shaogang Gong; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

Few-Shot Vision-Language Action-Incremental Policy Learning. - Mingchen Song; Xiang Deng; Guoqiang Zhong 001; Qi Lv 001; Jia Wan 001; Yinchuan Li; Jianye Hao; Weili Guan (CoRR, 2025)

MENTOR: Guiding Hierarchical Reinforcement Learning With Human Feedback and Dynamic Distance Constraint. - Xinglin Zhou; Yifu Yuan; Shaofu Yang; Jianye Hao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Robust Multiobjective Reinforcement Learning Considering Environmental Uncertainties. - Xiangkun He; Jianye Hao; Xu Chen 017; Jun Wang 012; Xuewu Ji; Chen Lv (IEEE Trans. Neural Networks Learn. Syst., 2025)

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking. - Runquan Gui; Zhihai Wang; Jie Wang 005; Chi Ma; Hui-Ling Zhen; Mingxuan Yuan; Jianye Hao; Defu Lian; Enhong Chen; Feng Wu 001 (CoRR, 2025)

Accelerating Large Language Model Reasoning via Speculative Search. - Zhihai Wang; Jie Wang 005; Jilai Pan; Xilin Xia; Huiling Zhen; Mingxuan Yuan; Jianye Hao; Feng Wu 001 (CoRR, 2025)

Advancing Symbolic Discovery on Unsupervised Data: A Pre-training Framework for Non-degenerate Implicit Equation Discovery. - Yufei Kuang; Jie Wang 005; Huang Haotong; Mingxuan Ye; Fangzhou Zhu; Xijun Li; Jianye Hao; Wu Feng (CoRR, 2025)

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation. - Yifu Yuan; Haiqin Cui; Yibin Chen; Zibin Dong; Fei Ni 001; Longxin Kou; Jinyi Liu 002; Pengyi Li 001; Yan Zheng 002; Jianye Hao (CoRR, 2025)

EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation. - Zibin Dong; Fei Ni 001; Yifu Yuan; Yinchuan Li; Jianye Hao (CoRR, 2025)

Conditioning Matters: Training Diffusion Policies is Faster Than You Think. - Zibin Dong; Yicheng Liu; Yinchuan Li; Hang Zhao; Jianye Hao (CoRR, 2025)

Reinforcing Question Answering Agents with Minimalist Policy Gradient Optimization. - Yihong Wu; Liheng Ma; Muzhi Li; Jiaming Zhou; Jianye Hao; Ho-fung Leung; Irwin King; Yingxue Zhang 001; Jian-Yun Nie (CoRR, 2025)

One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration. - Jinbang Huang; Yixin Xiao; Zhanguang Zhang; Mark Coates; Jianye Hao; Yingxue Zhang 001 (CoRR, 2025)

Scalable In-Context Q-Learning. - Jinmei Liu; Fuhong Liu; Jianye Hao; Bo Wang 027; Huaxiong Li; Chunlin Chen; Zhi Wang 001 (CoRR, 2025)

STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization. - Hao Li; Qi Lv 001; Rui Shao 001; Xiang Deng; Yinchuan Li; Jianye Hao; Liqiang Nie (CoRR, 2025)

AgentSwift: Efficient LLM Agent Design via Value-guided Hierarchical Search. - Yu Li; Lehui Li; Zhihao Wu; Qingmin Liao; Jianye Hao; Kun Shao; Fengli Xu; Yong Li 008 (CoRR, 2025)

Beyond Syntax: Action Semantics Learning for App Agents. - Bohan Tang; Dezhao Luo; Jingxuan Chen; Shaogang Gong; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

Deep Research Agents: A Systematic Examination And Roadmap. - Yuxuan Huang; Yihang Chen; Haozheng Zhang; Kang Li; Meng Fang; Linyi Yang; Xiaoguang Li; Lifeng Shang; Songcen Xu; Jianye Hao; Kun Shao; Jun Wang 012 (CoRR, 2025)

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs. - Mohammad Ali Alomrani; Yingxue Zhang 001; Derek Li; Qianyi Sun; Soumyasundar Pal; Zhanguang Zhang; Yaochen Hu 001; Rohan Deepak Ajwani; Antonios Valkanas; Raika Karimi; Peng Cheng; Yunzhou Wang; et al. (CoRR, 2025)

AutoLayout: Closed-Loop Layout Synthesis via Slow-Fast Collaborative Reasoning. - Weixing Chen; Dafeng Chi; Yang Liu 003; Yuxi Yang; Yexin Zhang; Yuzheng Zhuang; Xingyue Quan; Jianye Hao; Guanbin Li; Liang Lin (CoRR, 2025)

Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model. - Jing Liang; Hongyao Tang; Yi Ma 005; Jinyi Liu 002; Yan Zheng 002; Shuyue Hu; Lei Bai 001; Jianye Hao (CoRR, 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)

Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming. - Siyuan Li 003; Yifan Yu; Yanchen Deng; Zhihao Zhang; Mengjing Chen; Fangzhou Zhu; Tao Zhong 004; Jianye Hao; Peng Liu 008; Bo An 001 (CoRR, 2025)

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies. - Yi Ma 005; Hongyao Tang; Chenjun Xiao; Yaodong Yang 001; Wei Wei 018; Jianye Hao; Jiye Liang (CoRR, 2025)

Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding. - Jian Hu; Zixu Cheng; Shaogang Gong; Isabel Guan; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding. - Yueming Xu; Jiahui Zhang; Ze Huang; Yurui Chen; Yanpeng Zhou; Zhenyu Chen; Yu-Jie Yuan; Pengxiang Xia; Guowei Huang; Xinyue Cai; Zhongang Qi; Xingyue Quan; et al. (CoRR, 2025)

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation. - Yifu Yuan; Haiqin Cui; Yaoting Huang; Yibin Chen; Fei Ni 001; Zibin Dong; Pengyi Li 001; Yan Zheng 002; Jianye Hao (CoRR, 2025)