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ORCIDJiayu Chen 0006
Person information
- 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
Other persons with the same name
- Jiayu Chen (aka: Jia-Yu Chen, Jia Yu Chen) — disambiguation page
- Jiayu Chen 0001
![[0000-0001-9396-0059]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9396-0059")
— Tsinghua University, Department of Construction Management, Beijing, China (and 2 more) - Jiayu Chen 0002 — Nanjing University of Aeronautics and Astronautics, Civil Aviation Key Laboratory of Aircraft Health Monitoring and Intelligent Maintenance, China (and 1 more)
- Jiayu Chen 0003 — The Mind Research Network, The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA (and 2 more)
- Jiayu Chen 0004 — University of Science and Technology of China, USTC, Department of Automation, Hefei, China
- Jiayu Chen 0005 — Tsinghua University, Beijing, China
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2020 – today
- 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. IJCAI 2025: 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. UAI 2025: 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. CoRR abs/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. CoRR abs/2504.00277 (2025) - [i17]Jiayu Chen, Aravind Venugopal, Jeff Schneider:
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning. CoRR abs/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. CoRR abs/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. CoRR abs/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 Informatics 28(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. CoRR abs/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. CoRR abs/2403.07309 (2024) - [i12]Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal:
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries. CoRR abs/2403.09940 (2024) - [i11]Jiayu Chen, Bhargav Ganguly, Tian Lan, Vaneet Aggarwal:
Variational Offline Multi-agent Skill Discovery. CoRR abs/2405.16386 (2024) - [i10]Jiayu Chen, Wentse Chen, Jeff Schneider:
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning. CoRR abs/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. ICML 2023: 4895-4920 - [c7]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control. ICRA 2023: 5902-5908 - [c6]Jiayu Chen, Vaneet Aggarwal, Tian Lan:
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process. NeurIPS 2023 - [i9]Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal:
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. CoRR abs/2305.12633 (2023) - [i8]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Hierarchical Deep Counterfactual Regret Minimization. CoRR abs/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. CoRR abs/2306.17054 (2023) - [i6]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Scalable Multi-agent Skill Discovery based on Kronecker Graphs. CoRR abs/2307.11629 (2023) - 2022
- [c5]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs. AAMAS 2022: 1572-1574 - [c4]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs. NeurIPS 2022 - [i5]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs. CoRR abs/2201.08227 (2022) - [i4]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Hierarchical Adversarial Inverse Reinforcement Learning. CoRR abs/2210.01969 (2022) - [i3]Jiayu Chen, Marina Haliem, Tian Lan, Vaneet Aggarwal:
Multi-agent Deep Covering Option Discovery. CoRR abs/2210.03269 (2022) - [i2]Jiayu Chen, Vaneet Aggarwal, Tian Lan:
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process. CoRR abs/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. ICAPS 2021: 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. ICRA 2021: 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. CoRR abs/2103.03450 (2021)
2010 – 2019
- 2019
- [c1]Jilin Mei, Jiayu Chen, Wen Yao, Xijun Zhao, Huijing Zhao:
Supervised Learning for Semantic Segmentation of 3D LiDAR Data. IV 2019: 1491-1498
Coauthor Index
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