Supervised Learning for Semantic Segmentation of 3D LiDAR Data. - Jilin Mei; Jiayu Chen 006; Wen Yao; Xijun Zhao; Huijing Zhao (IV, 2019)

DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. - Jiayu Chen 006; Abhishek K. Umrawal; Tian Lan 001; Vaneet Aggarwal (ICAPS, 2021)

Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning. - Pin Wang; Dapeng Liu; Jiayu Chen 006; Hanhan Li; Ching-Yao Chan (ICRA, 2021)

Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs. - Jiayu Chen 006; Jingdi Chen; Tian Lan 001; Vaneet Aggarwal (AAMAS, 2022)

Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs. - Jiayu Chen 006; Jingdi Chen; Tian Lan 001; Vaneet Aggarwal (NeurIPS, 2022)

Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs. - Jiayu Chen 006; Jingdi Chen; Tian Lan 001; Vaneet Aggarwal (CoRR, 2022)

Multi-agent Deep Covering Option Discovery. - Jiayu Chen 006; Marina Haliem; Tian Lan 001; Vaneet Aggarwal (CoRR, 2022)

ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process. - Jiayu Chen 006; Vaneet Aggarwal; Tian Lan 001 (CoRR, 2022)

Impact of AI on Mobile Computing: A Systematic Review from a Human Factors Perspective. - Jiayu Chen 006; Bhargav Ganguly; Sameeran G. Kanade; Vincent G. Duffy (HCI (53), 2023)

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. - Jiayu Chen 006; Dipesh Tamboli; Tian Lan 001; Vaneet Aggarwal (ICML, 2023)

Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control. - Jiayu Chen 006; Tian Lan 001; Vaneet Aggarwal (ICRA, 2023)

A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process. - Jiayu Chen 006; Vaneet Aggarwal; Tian Lan 001 (NeurIPS, 2023)

Hierarchical Deep Counterfactual Regret Minimization. - Jiayu Chen 006; Tian Lan 001; Vaneet Aggarwal (CoRR, 2023)

Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning. - Chang-Lin Chen; Hanhan Zhou; Jiayu Chen 006; Mohammad Pedramfar; Vaneet Aggarwal; Tian Lan 001; Zheqing Zhu; Chi Zhou; Tim Gasser; Pol Mauri Ruiz; Vijay Menon; Neeraj Kumar 004; et al. (CoRR, 2023)

Scalable Multi-agent Skill Discovery based on Kronecker Graphs. - Jiayu Chen 006; Jingdi Chen; Tian Lan 001; Vaneet Aggarwal (CoRR, 2023)

Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs. - Jiayu Chen 006; Jingdi Chen; Tian Lan 001; Vaneet Aggarwal (IEEE Trans. Artif. Intell., 2023)

Variational Offline Multi-agent Skill Discovery. - Jiayu Chen 006; Bhargav Ganguly; Tian Lan 001; Vaneet Aggarwal (CoRR, 2024)

Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning. - Jiayu Chen 006; Wentse Chen; Jeff Schneider (CoRR, 2024)

Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. - Jiayu Chen 006; Bhargav Ganguly; Yang Xu 003; Yongsheng Mei; Tian Lan 001; Vaneet Aggarwal (Trans. Mach. Learn. Res., 2024)

Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries. - Swetha Ganesh; Jiayu Chen 006; Gugan Thoppe; Vaneet Aggarwal (Trans. Mach. Learn. Res., 2024)

Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer. - Dipesh Tamboli; Jiayu Chen 006; Kiran Pranesh Jotheeswaran; Denny Yu; Vaneet Aggarwal (IEEE J. Biomed. Health Informatics, 2024)

Hierarchical Adversarial Inverse Reinforcement Learning. - Jiayu Chen 006; Tian Lan 001; Vaneet Aggarwal (IEEE Trans. Neural Networks Learn. Syst., 2024)

Variational Offline Multi-agent Skill Discovery. - Jiayu Chen 006; Tian Lan 001; Vaneet Aggarwal (IJCAI, 2025)

Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization. - Swetha Ganesh; Jiayu Chen 006; Washim Uddin Mondal; Vaneet Aggarwal (UAI, 2025)

Mining Intraday Risk Factor Collections via Hierarchical Reinforcement Learning based on Transferred Options. - Wenyan Xu 001; Jiayu Chen 006; Chen Li 068; Yonghong Hu; Zhonghua Lu (CoRR, 2025)

Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation. - Chang-Lin Chen; Hanhan Zhou; Jiayu Chen 006; Mohammad Pedramfar; Tian Lan 001; Zheqing Zhu; Chi Zhou; Pol Mauri Ruiz; Neeraj Kumar 004; Hongbo Dong; Vaneet Aggarwal (IEEE Trans. Netw. Serv. Manag., 2025)

Rack Position Optimization in Large-Scale Heterogeneous Data Centers. - Chang-Lin Chen; Jiayu Chen 006; Tian Lan 001; Zhaoxia Zhao; Hongbo Dong; Vaneet Aggarwal (CoRR, 2025)

Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning. - Jiayu Chen 006; Aravind Venugopal; Jeff Schneider (CoRR, 2025)

Behavior Foundation Model: Towards Next-Generation Whole-Body Control System of Humanoid Robots. - Mingqi Yuan; Tao Yu; Wenqi Ge; Xiuyong Yao; Dapeng Li; Huijiang Wang; Jiayu Chen 006; Xin Jin; Bo Li; Hua Chen; Wei Zhang; Wenjun Zeng (CoRR, 2025)

Learning Explainable Stock Predictions with Tweets Using Mixture of Experts. - Wenyan Xu 001; Dawei Xiang; Rundong Wang; Yonghong Hu; Liang Zhang; Jiayu Chen 006; Zhonghua Lu (CoRR, 2025)