Skip to content
View Xuchen-Li's full-sized avatar
:electron:
Working Hard～
:electron:
Working Hard～
72 followers · 215 following
  • ZGCA & CASIA
  • Beijing, China
  • 00:28 (UTC +08:00)

Achievements

Achievement: Starstruckx2Achievement: Galaxy BrainAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: Starstruckx2Achievement: Galaxy BrainAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

Highlights

Organizations

@OpenDCAI @bjzgcai

Block or report Xuchen-Li

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Xuchen-Li/README.md

Xuchen Li / 李旭宸

Ph.D. Student of Pattern Recognition and Intelligent System

Zhongguancun Academy and Institute of Automation, Chinese Academy of Sciences

[email protected] / [email protected]

Google Scholar / Github

Biography

I am a Ph.D. student at Zhongguancun Academy (ZGCA) and Institute of Automation, Chinese Academy of Sciences (CASIA). Before that, I received my B.E. degree in Computer Science and Technology with overall ranking 1/449 (0.22%) at the School of Computer Science from Beijing University of Posts and Telecommunications (BUPT) in Jun. 2024. I am grateful to be growing up and studying with my twin brother Xuzhao Li (M.S. Student at BIT), which is a truly unique and special experience for me.

Research

My research interests mainly lie in Large Language Models, Data-centric AI, and Multi-modal Learning. Particularly, I am interested in:

  • Large Language Models: Large Language Models and Multi-modal Large Language Models Reasoning and Understanding
  • Data-centric AI: Benchmark and Dataset Construction, Data Selection, Synthesis and Evaluation
  • Multi-modal Learning: Video Reasoning and Understanding, including Video Question Answering, Video Captioning and Vision-Language Tracking

Pinned Loading

  1. 983632847/Awesome-Multimodal-Object-Tracking 983632847/Awesome-Multimodal-Object-Tracking Public

    A continuously updated project to track the latest progress in the field of multi-modal object tracking. This project focuses solely on single-object tracking.

    Jupyter Notebook 879 50

  2. llm-arxiv-daily llm-arxiv-daily Public

    Automatically update arXiv papers about LLM Reasoning, LLM Evaluation, LLM & MLLM and Video Understanding using Github Actions.

    Python 131 9

  3. cv-arxiv-daily cv-arxiv-daily Public

    Automatically update arXiv papers about SOT & VLT, Multi-modal Learning, LLM and Video Understanding using Github Actions.

    Python 39 4