Served on the Program Committee and as a reviewer, organizer, and session chair for the FM4RoboPlan Workshop at RSS 2026.

I am an incoming PhD student at the College of AI, Tsinghua University, starting in Fall 2027. My research focuses on embodied intelligence and general-purpose robot foundation models, particularly Vision-Language-Action (VLA) models, World-Action Models (WAM), and robot policy learning that integrates agent-based approaches with the capabilities of large models.
Currently, I am a Research Intern at Tsinghua, working on robot learning and real-world manipulation. My goal is to improve robot robustness, long-horizon decision-making, policy generalization, and zero-shot transfer in complex open-world environments. I deploy and evaluate models on a dual-arm Franka Research 3 platform to validate their performance on real robots.
My earlier research explored VLA robustness under visual distribution shifts and open-vocabulary recognition. In parallel with my work at Tsinghua, I am an Algorithm Intern at Apex Intelligence, contributing to the development of autonomous scientific research agents, large-model training, and evaluation benchmarks.
Served on the Program Committee and as a reviewer, organizer, and session chair for the FM4RoboPlan Workshop at RSS 2026.
Joined Apex Intelligence as an Algorithm Intern, working on Auto Research agents and evaluation benchmarks.
Joined the College of AI, Tsinghua University as a Research Intern in embodied intelligence and robot learning.
Joined OV3Lab at Peking University to study robust VLA models under visual distribution shifts.

Evaluating robot foundation model robustness across 42 static and runtime perturbations.

Evaluating autonomous research across 60 scientific projects in 11 domains.

College of AI, Tsinghua University
Researching world-model-driven robot learning and embodied intelligence under Assistant Professor Yongchao Chen, with a focus on VLA and world-action models. Responsible for the dual-arm Franka Research 3 platform, including deployment, teleoperation, demonstration-data collection, model reproduction, and real-robot evaluation.

Apex Intelligence
Worked on Auto Research agents and evaluation benchmarks, covering Harness optimization, CoT analysis, and internal evaluation of Apex Research. Contributed to ASI-Bench task construction and large-model testing, as well as research submissions, technical writing, and product communication.

Wangxuan Institute of Computer Technology, Peking University
Studied the robustness of VLA models under visual distribution shifts at OV³Lab, supervised by Professor Jiahuan Zhou. Developed a self-supervised prompt-learning framework that improves robustness and zero-shot generalization under lighting, background, and layout changes.

SDIC Intelligence Xiamen Information Co., Ltd (AI Institute)
Worked on open-vocabulary pedestrian attribute recognition, contributing to the OV-MSP60K, OV-RAP2, and OV-CelebPAR benchmarks and the MGTSM framework. Also developed a multimodal deepfake-detection system evaluated on 100,000+ samples, achieving 0.97 AUC and 93%+ accuracy.

MindCare is an intelligent diagnosis system focused on the mental health of teenagers. It integrates virtual reality and cloud technology to establish a local-cloud collaborative architecture.

“SonicArt-Intelligence” is an intelligent and immersive music education system designed for global music learners.

“InnerVoice Guardian” is an innovative artificial intelligence-based mental health support platform specifically designed to meet the increasing mental health needs of teenagers.

An honor exclusively awarded to 10 outstanding student leaders across School, recognizing excellent performance in student work and remarkable ability to serve students.


Invited as an Outstanding Student Model(1/10) to deliver a university-wide live speech, sharing my journey of perseverance and serving as a role model to fellow students.