About Me 🤔

01 / Background

Before turning to computer science in my junior year, I spent two years studying developmental psychology and the history of philosophy. I earned a B.S. in Computer Science and a B.A. in Psychology at the University of Rochester, where I worked with Prof. Chenliang Xu and Prof. Dongmei Li. I’m especially grateful to Jing Bi and the other PhD students at the University of Rochester.

02 / Research

My research asks how models can turn visual experience into understanding and action. I view perception, memory, reasoning, and action as a continuous loop: gathering evidence, retaining useful experience, reasoning about possibilities, and choosing how to act. I am especially interested in how visual representations can support this process under limited memory and computation.

I see many of the core questions in robotics as questions of video understanding: how the world changes, what actions are possible, and which actions bring us closer to a goal. I think of video intelligence as the soul of a robot. My goal is to build models that can reason from video to action, using what they observe and remember to infer what to do next, anticipate its consequences, and adapt as new evidence arrives.

03 / Service

Conference reviewer: CVPR’26, ECCV’26, AAAI’27, NeurIPS’26, CoRL’26, COLM’26.

Previously, I served as Vice President of the Chinese Students and Scholars Association (CSSA) at the University of Rochester.

04 / Hobbies

Outside research, I enjoy cooking dishes from around the world, experimenting with new recipes, and mixing cocktails. Cooking together, sharing a drink, and playing badminton are some of my favorite ways to spend time with friends. I also love spending time with my dog, Maple.

Archived News

New paper EchoSafe: Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory is accepted by CVPR 2026. Website Paper Code Data

I² has been accepted to CVPRW 2026. Paper

CAT-V has been awarded Best Demonstration Runner-up @ AAAI 2026.

CAT-V has been accepted to the AAAI 2026 Demonstration Program.

Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning. Paper Code

Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting. Paper Code

VERIFY: A Benchmark of Visual Explanation and Reasoning for Investigating Multimodal Reasoning Fidelity. Paper Website

Admitted to the Carnegie Mellon University Master of Science in Robotics (MSR) program!

Thrilled to be interviewed by the University of Rochester Medical Center Clinical & Translational Science Institute. UR CTSI Stories Blog

Honored to be named a Schwartz Discovery Grant winner, with sincere appreciation to Dr. Dongmei Li for her invaluable mentorship and support. Dongmei Li’s Lab News