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• affiliation:University of Hong Kong, Department of Data and Systems Engineering, Hong Kong
• affiliation (PhD 2024):Purdue University, School of Industrial Engineering, West Lafayette, IN, USA
• affiliation (2016 - 2020):Peking University, College of Engineering, Beijing, China

• Jiayu Chen(aka: Jia-Yu Chen) —disambiguation page
• Jiayu Chen0001 —Tsinghua University, Department of Construction Management, Beijing, China(and 2 more)
• Jiayu Chen0002 —Nanjing University of Aeronautics and Astronautics, Civil Aviation Key Laboratory of Aircraft Health Monitoring and Intelligent Maintenance, China(and 1 more)
• Jiayu Chen0003 —The Mind Research Network, The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA(and 2 more)
• Jiayu Chen0004 — University of Science and Technology of China, USTC, Department of Automation, Hefei, China
• Jiayu Chen0005 — Tsinghua University, Beijing, China

• Jiayu Joyce Chen
• Jiayue Chen
• Chen Jiayu

• 2025
• 
  [j6]
  Chang-Lin Chen,Hanhan Zhou,Jiayu Chen,Mohammad Pedramfar,Tian Lan,Zheqing Zhu,Chi Zhou,Pol Mauri Ruiz,Neeraj Kumar,Hongbo Dong,Vaneet Aggarwal:
  Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation.IEEE Trans. Netw. Serv. Manag.22(1):572-581 (2025)
• 
  [c11]
  Jiayu Chen,Tian Lan,Vaneet Aggarwal:
  Variational Offline Multi-agent Skill Discovery.IJCAI2025:4833-4841
• 
  [c10]
  Swetha Ganesh,Jiayu Chen,Washim Uddin Mondal,Vaneet Aggarwal:
  Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization.UAI2025:1358-1380
• 
  [i19]
  Wenyan Xu,Jiayu Chen,Chen Li,Yonghong Hu,Zhonghua Lu:
  Mining Intraday Risk Factor Collections via Hierarchical Reinforcement Learning based on Transferred Options.CoRRabs/2501.07274 (2025)
• 
  [i18]
  Chang-Lin Chen,Jiayu Chen,Tian Lan,Zhaoxia Zhao,Hongbo Dong,Vaneet Aggarwal:
  Rack Position Optimization in Large-Scale Heterogeneous Data Centers.CoRRabs/2504.00277 (2025)
• 
  [i17]
  Jiayu Chen,Aravind Venugopal,Jeff Schneider:
  Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning.CoRRabs/2505.13709 (2025)
• 
  [i16]
  Mingqi Yuan,Tao Yu,Wenqi Ge,Xiuyong Yao,Dapeng Li,Huijiang Wang,Jiayu Chen,Xin Jin,Bo Li,Hua Chen,Wei Zhang,Wenjun Zeng:
  Behavior Foundation Model: Towards Next-Generation Whole-Body Control System of Humanoid Robots.CoRRabs/2506.20487 (2025)
• 
  [i15]
  Wenyan Xu,Dawei Xiang,Rundong Wang,Yonghong Hu,Liang Zhang,Jiayu Chen,Zhonghua Lu:
  Learning Explainable Stock Predictions with Tweets Using Mixture of Experts.CoRRabs/2507.20535 (2025)
• 2024
• 
  [j5]
  Dipesh Tamboli,Jiayu Chen,Kiran Pranesh Jotheeswaran,Denny Yu,Vaneet Aggarwal:
  Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer.IEEE J. Biomed. Health Informatics28(5):3114-3122 (2024)
• 
  [j4]
  Jiayu Chen,Bhargav Ganguly,Yang Xu,Yongsheng Mei,Tian Lan,Vaneet Aggarwal:
  Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions.Trans. Mach. Learn. Res.2024 (2024)
• 
  [j3]
  Swetha Ganesh,Jiayu Chen,Gugan Thoppe,Vaneet Aggarwal:
  Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries.Trans. Mach. Learn. Res.2024 (2024)
• 
  [j2]
  Jiayu Chen,Tian Lan,Vaneet Aggarwal:
  Hierarchical Adversarial Inverse Reinforcement Learning.IEEE Trans. Neural Networks Learn. Syst.35(12):17549-17558 (2024)
• 
  [i14]
  Jiayu Chen,Bhargav Ganguly,Yang Xu,Yongsheng Mei,Tian Lan,Vaneet Aggarwal:
  Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions.CoRRabs/2402.13777 (2024)
• 
  [i13]
  Dipesh Tamboli,Jiayu Chen,Kiran Pranesh Jotheeswaran,Denny Yu,Vaneet Aggarwal:
  Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer.CoRRabs/2403.07309 (2024)
• 
  [i12]
  Swetha Ganesh,Jiayu Chen,Gugan Thoppe,Vaneet Aggarwal:
  Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries.CoRRabs/2403.09940 (2024)
• 
  [i11]
  Jiayu Chen,Bhargav Ganguly,Tian Lan,Vaneet Aggarwal:
  Variational Offline Multi-agent Skill Discovery.CoRRabs/2405.16386 (2024)
• 
  [i10]
  Jiayu Chen,Wentse Chen,Jeff Schneider:
  Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning.CoRRabs/2410.11234 (2024)
• 2023
• 
  [j1]
  Jiayu Chen,Jingdi Chen,Tian Lan,Vaneet Aggarwal:
  Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs.IEEE Trans. Artif. Intell.4(5):1141-1153 (2023)
• 
  [c9]
  Jiayu Chen,Bhargav Ganguly,Sameeran G. Kanade,Vincent G. Duffy:
  Impact of AI on Mobile Computing: A Systematic Review from a Human Factors Perspective.HCI (53)2023:24-38
• 
  [c8]
  Jiayu Chen,Dipesh Tamboli,Tian Lan,Vaneet Aggarwal:
  Multi-task Hierarchical Adversarial Inverse Reinforcement Learning.ICML2023:4895-4920
• 
  [c7]
  Jiayu Chen,Tian Lan,Vaneet Aggarwal:
  Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control.ICRA2023:5902-5908
• 
  [c6]
  Jiayu Chen,Vaneet Aggarwal,Tian Lan:
  A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process.NeurIPS2023
• 
  [i9]
  Jiayu Chen,Dipesh Tamboli,Tian Lan,Vaneet Aggarwal:
  Multi-task Hierarchical Adversarial Inverse Reinforcement Learning.CoRRabs/2305.12633 (2023)
• 
  [i8]
  Jiayu Chen,Tian Lan,Vaneet Aggarwal:
  Hierarchical Deep Counterfactual Regret Minimization.CoRRabs/2305.17327 (2023)
• 
  [i7]
  Chang-Lin Chen,Hanhan Zhou,Jiayu Chen,Mohammad Pedramfar,Vaneet Aggarwal,Tian Lan,Zheqing Zhu,Chi Zhou,Tim Gasser,Pol Mauri Ruiz,Vijay Menon,Neeraj Kumar,Hongbo Dong:
  Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning.CoRRabs/2306.17054 (2023)
• 
  [i6]
  Jiayu Chen,Jingdi Chen,Tian Lan,Vaneet Aggarwal:
  Scalable Multi-agent Skill Discovery based on Kronecker Graphs.CoRRabs/2307.11629 (2023)
• 2022
• 
  [c5]
  Jiayu Chen,Jingdi Chen,Tian Lan,Vaneet Aggarwal:
  Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs.AAMAS2022:1572-1574
• 
  [c4]
  Jiayu Chen,Jingdi Chen,Tian Lan,Vaneet Aggarwal:
  Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs.NeurIPS2022
• 
  [i5]
  Jiayu Chen,Jingdi Chen,Tian Lan,Vaneet Aggarwal:
  Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs.CoRRabs/2201.08227 (2022)
• 
  [i4]
  Jiayu Chen,Tian Lan,Vaneet Aggarwal:
  Hierarchical Adversarial Inverse Reinforcement Learning.CoRRabs/2210.01969 (2022)
• 
  [i3]
  Jiayu Chen,Marina Haliem,Tian Lan,Vaneet Aggarwal:
  Multi-agent Deep Covering Option Discovery.CoRRabs/2210.03269 (2022)
• 
  [i2]
  Jiayu Chen,Vaneet Aggarwal,Tian Lan:
  ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process.CoRRabs/2212.00211 (2022)
• 2021
• 
  [c3]
  Jiayu Chen,Abhishek K. Umrawal,Tian Lan,Vaneet Aggarwal:
  DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery.ICAPS2021:510-518
• 
  [c2]
  Pin Wang,Dapeng Liu,Jiayu Chen,Hanhan Li,Ching-Yao Chan:
  Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning.ICRA2021:1036-1042
• 
  [i1]
  Jiayu Chen,Abhishek K. Umrawal,Tian Lan,Vaneet Aggarwal:
  DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery.CoRRabs/2103.03450 (2021)

• 2019
• 
  [c1]
  Jilin Mei,Jiayu Chen,Wen Yao,Xijun Zhao,Huijing Zhao:
  Supervised Learning for Semantic Segmentation of 3D LiDAR Data.IV2019:1491-1498

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