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Working Hard～
:electron:
Working Hard～
83 followers · 225 following
  • ZGCA & CASIA
  • Beijing, China
  • 05:01 (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

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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

s-lxc24@bza.edu.cn / lixuchen2024@ia.ac.cn

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 Multi-modal Agentic RL and Fine-grained Evaluation of Long-horizon Reasoning. Particularly, I am interested in:

  • Multi-modal Agentic RL: Empower agents through reinforcement learning to autonomously interact with complex, dynamic environments and carry out multi-turn, long-horizon decision-making tasks, enabling them to better process text-image and video information.
  • Fine-grained Evaluation of Long-horizon Reasoning: Build benchmarks targeting the model’s reasoning process to conduct fine-grained evaluation and diagnosis of logical consistency, reasoning effectiveness and the distribution of key information.

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 1.2k 54

  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 140 12

  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 44 4