Education
University of Maryland, College Park
Ph.D. in Computer Science, working with Prof. Pratap Tokekar and Prof. Ming Lin
Ph.D. in Computer Science, working with Prof. Pratap Tokekar and Prof. Ming Lin
August 2022 - Now
University of Maryland, College Park
Master in Computer Science
Master in Computer Science
May 2024
Shanghai Jiao Tong University
B.S. in Mechanical Engineering
B.S. in Mechanical Engineering
June 2020
Employment
Apple
PhD Engineering Intern. Worked on ML algorithms development and data analysis for Apple products risk assessment.
PhD Engineering Intern. Worked on ML algorithms development and data analysis for Apple products risk assessment.
May 2023 - Aug 2023
Cupertino, CA
Cupertino, CA
University of Maryland, College Park
Graduate Research Assistant. Working on AI, ML and Robotics.
Graduate Research Assistant. Working on AI, ML and Robotics.
Aug 2022 - Now
College Park, MD
College Park, MD
Tencent Robotics X
Research Intern. Worked on quadruped robotics algorithms development and gait planning.
Research Intern. Worked on quadruped robotics algorithms development and gait planning.
Jun 2020 - Nov 2020
Shenzhen, China
Shenzhen, China
The Chinese Unversity of Hong Kong
Research Intern. Worked on surgical robotics motion planning.
Research Intern. Worked on surgical robotics motion planning.
Jul 2019 - Sep 2019
Hong Kong, China
Hong Kong, China
Shanghai Jiao Tong University
Research Assistant. Worked on electric vehicle heat pump systems.
Research Assistant. Worked on electric vehicle heat pump systems.
Mar 2019 - May 2020
Shanghai, China
Shanghai, China
Publications
AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction
A universal framework that leverages conformal prediction to quantify teacher prediction uncertainty and dynamically adjust its guidande on the student under domain shifts.
Under Review, 2025
CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
A novel multi-agent multi-modality framework that enables agents to collaborate and share multimodal data during training while allowing inference with reduced modalities per agent during testing.
Under Review, 2025
MMCD: Multi-Modal Collaborative Decision-Making for Connected Autonomy with Knowledge Distillation
A novel multi-modal collaborative decision-making approach for connected autonomy.
Under Review, 2025
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis
A thorough iteration complexity analysis for the risk-sensitive policy gradient method, focusing on the REINFORCE algorithm and employing the exponential utility function.
Under Review, 2025
IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition
Integrated Multi-Dimensional Representation Learning, which integrates visual, physical, temporal, and geometric representations to enhance the robustness and generalizability of Imitation Learning for food acquisition.
ICRA, 2025
LAVA: Long-horizon Visual Action based Food Acquisition
Long-horizon Visual Action-based (LAVA) food acquisition of liquid, semisolid, and deformable foods.
IROS, 2024
Data-Driven Distributionally Robust Optimal Control with State-Dependent Noise
A data-driven technique for estimating the uncertainty and bound for the KL divergence for distributionally robust optimal control.
IROS, 2023
Adaptive Visual Imitation Learning for Robotic Assisted Feeding Across Varied Bowl Configurations and Food Types
Adaptive visual imitation learning that exhibits adaptability and robustness across different bowl configurations and diverse food types for robotic scooping.
ICRA Workshop on Cooking Robotics Perception and Motion Planning, 2024