Kenny Wong — Embodied AI and Robotics

Embodied AI & Robotics

I build learning systems for robots that see, feel, and act.

I am Kenny Wong Lik Hang (王力恒), a master's student in Computer Science and Engineering at The Chinese University of Hong Kong, working in Prof. Dou Qi's lab. My research focuses on visuotactile perception and policy learning for contact-rich manipulation.

I received my BSc in Computer Science from City University of Hong Kong in 2025.

Recent

News

Research and academic updates

Research

Selected work

View all projects

Cooperative Multi-Agent Vision-Language-Action Models via Reinforced Fine-Tuning

Ruixiao Xu, Wong Lik Hang Kenny, Zhiqian Liu, Jianing Guo, Hanxiao Li, Kejian Shi, Shuning Zhang, Pu Feng, Yongjia Ma, Yuqing Ma, Kai Chen, Qi Dou, Yaodong Yang, Xianglong Liu, Simin Li

A three-stage reinforced fine-tuning pipeline for cooperative multi-agent vision-language-action models.

International Conference on Learning Representations (ICLR 2027), under review 2026 arXiv

Background

Experience

Research

University of Tennessee, Knoxville

Undergraduate Researcher, NICS

Developed topological-map navigation methods for legged robot image-goal navigation using Habitat-Sim and Isaac Sim. The research was supported by the National Science Foundation and supervised by Dr. Kwai Wong.

Research support

The Chinese University of Hong Kong

Student Helper · Part-time

Supported ongoing research projects in 3D computer vision, multimodal large language models, and robotics. Based on-site in Hong Kong.

Industry

The Bank of East Asia

Student Programmer, IT Department

Worked on backend automation and internal software systems using Java, SQL, Linux, sockets, Selenium, and Git within the Technology Innovation and IT Project Management section.

Education

Education & honors

The Chinese University of Hong Kong emblem

The Chinese University of Hong Kong

Master's degree in Computer Science · Sep 2025–

MSc Dean's List
City University of Hong Kong logo

City University of Hong Kong

BSc in Computer Science · 2021–2025

Cum laude · Top 15% of the graduating class
Awards & achievements Shanghai Commercial Bank Scholarship 2024–25 InfoTech Job Market Driven Scholarships 2024–25 WACV 2025 Elderly Action Recognition Challenge 2nd of 23 IEEEXtreme 18.0 Top 5.4% worldwide

Off the clock

Beyond research

When I step away from research, my interests are sports, music, and exploring.

SportsMusicExploring