CV

Education

• B.E. in College of Engineering, Peking University, 2020
• Ph.D. in Industrial Engineering Operation Research, Purdue University, May 2024

Experience

Research experience at Peking University

Research experience at University of California, Berkeley

Research experience at Purdue University

Teaching experience at Purdue University

Publications

Supervised Learning for Semantic Segmentation of 3D LiDAR Data

DeepFreight: A Model-free Deepreinforcement-learning-based Algorithm for Multi-transfer Freight Delivery

Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning

Multi-agent Deep Covering Option Discovery

Multi-Agent Covering Option Discovery Based on Kronecker Product of Factor Graphs

Scalable Multi-agent Option Discovery based on Kronecker Graphs

Hierarchical Deep Counterfactual Regret Minimization

Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control

Learning-based Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning

Hierarchical Adversarial Inverse Reinforcement Learning

A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process

Talks

Multi-agent Deep Covering Option Discovery

July 23, 2021

Poster Presentation at ICML Reinforcement Learning for Real Life Workshop, Online

DeepFreight: A Model-free Deepreinforcement- learning-based Algorithm for Multi-transfer Freight Delivery

August 02, 2021

Poster Presentation at the 31st International Conference on Automated Planning and Scheduling (ICAPS), Online

Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs

May 09, 2022

Poster Presentation at the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Online

Scalable Multi-agent Option Discovery based on Kronecker Graphs

November 28, 2022

Poster Presentation at the 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, USA

Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control

May 29, 2023

Poster Presentation at IEEE International Conference on Robotics and Automation, Online

Skills

• Programming
  • Python
  • C & C++
  • Java
  • Matlab
  • R
  • Swift (in process)
• Framework
  • Pytorch
  • Tensorflow
  • Django
  • SwiftUI & UIkit (in process)

Honors

• Benz Scholarship, Peking University, Dec 2017
• Learning Excellence Award, Peking University, Dec 2017
• JJ World Scholarship, Peking University, Dec 2018
• Merit Student Award, Peking University, Dec 2018
• Peking University Third Prize Scholarship, Peking University, Dec 2019
• Merit Student Award, Peking University, Dec 2019
• NeurIPS Scholar Award, NeurIPS, Oct 2022

Reviewer/Program Committee

• ICML 2022
• NeurIPS 2023
• Information Sciences
• IEEE Transactions on Neural Networks and Learning Systems
• IEEE Transactions on Artificial Intelligence
• IEEE Transactions on Games
• IEEE Transactions on Intelligent Transportation Systems
• IEEE Transactions on Cybernetics
• IEEE Transactions on Cognitive and Developmental Systems
• IEEE International Conference on Data Science and Advance Analytics 2023