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He was a doctoral student at Tsinghua University. where he worked on reasoning, agent and AI safety He had spent wonderful time in Department of Computer Science and Technology,Tsinghua University He had also visited Robotics Institute, Carnegie Mellon University He always supports Slow Science
Email: echo enRqMTlAdHNpbmdodWEub3JnLmNu | base64 -d
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Mathematical Reasoning for Large Language Models Oz T. Chang Improve the capabilities of LLM in number theory and geometry 2024 |
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Multi-view Learning for Vision-and-Language Planning Oz T. Chang Generating multi-view videos as a world state representation,combining VLMs with text-to-video models to obtain the ability of long-horizon decision making 2023 Winter |
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The Generalized Automatic Optimization Using Recurrent Network By Gradient Descent Joint work with Zifeng Huang, Teng Yang, Xiaozhu Hu Utilize Meta-learning to do optimization automatically, without algorithm selection and hyper-parameters tuning for improving the generalization and data transferability. 2020 Spring |
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Multimodal Perception Fusion for Robotic Manipulation Joint work with Huaping Liu, Zhigang Li, Chao Yang Merges object 6-DoF information and improve the performance of object localization for robotic manipulation 2019 Fall |
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Starting January 2025, I have decided to commit 1~2 hours every week to provide guidance, suggestions, and/or mentorships for students from underrepresented groups or whoever is in need. Please fill in this form if you are interested. |