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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: StarstruckAchievement: Pair ExtraordinaireAchievement: Arctic Code Vault Contributor

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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: StarstruckAchievement: Pair ExtraordinaireAchievement: Arctic Code Vault Contributor

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Sprinter1999/README.md

Hi there 👋

  • 🍁 I'm Xuefen (雪枫 in Chinese), a final-year Ph.D. student @Institute of Computing Technology of Chinese Academy of Sciences, received my bachelor degree@BUPT in the summer of 2021.
  • 🌱 My research interest mainly includes distributed ML system, data quality, cyber security, AutoDrive and various deep learning applications. I'm passionate about uncovering valuable & unsettled research topics, so perhaps we can collaborate to do some interesting things😆.
  • 📫 You can reach me via my email: jiangxf0903@gmail.com, visit my personal website, or view my scholar.
  • ✨ I'm the big fan of Iris.
  • 🌼 I love films & anime & sightseeing & music & night & sleeping a lot.

💬 Recent News~ (more updates in here)

  • 🥳 [2026.2] It is excited to share our TransDiffuser and LightVLA are accepted by ICRA'26, see you in Vienna!
  • 🚛 [2026.1] A new chapter rolls out.
  • 🧩 [2025.12] Our research paper FedROM got accepted by IEEE TMC. Anyway, 2025.12.18 should be remembered💦.
  • 🤖 [2025.9] We propose LightVLA which achieves the state-of-the-art performance on the LIBERO benchmark with significantly reduced computational overhead.
  • 🚗 [2025.5] We release TransDiffuser which achieves the new state-of-the-art performance in the NAVSIM leaderboard.
  • 📕 [2025.5] We release the codebase of FNBench.
  • 📕 [2024.12] We release one experimental study LLM4CVD which exploits LLMs to identify vulnerabilities within codes.
  • 🎉 [2024.7] One full research paper got accepted @ACM/CIKM'24. We also release one related comprehensive benchmark study FNBench and another follow-up work. Another work which focuses on long-tailed learning got accepted @ACML'24 oral.
  • 🚗 [2024.6] We reach top 5 teams in CVPR 2024 AutoDrive Grand Challenge (Driving with language track) with offline labels and multi-modal LLM. Another work (AMD's SLAM solution for underground autonomous parking) is released here.

❄Please feel free to contact me via WeChat, and it's a huge pleasure for me to discuss&chat with you.

drawing

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  1. LiAutoAD/LightVLA LiAutoAD/LightVLA Public

    Official Code for LightVLA (ICRA 2026)

    Python 77 5

  2. youngfish42/Awesome-FL youngfish42/Awesome-FL Public

    Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

    Python 1.9k 218

  3. SakiRinn/LLM4CVD SakiRinn/LLM4CVD Public

    Investigating Large Language Models for Code Vulnerability Detection: An Experimental Study

    Python 37 7

  4. ROM ROM Public

    Official codes for IEEE TMC paper: Representation Optimal Matching for Federated Learning with Noisy Labels in Remote Sensing

    Python 11

  5. FedLSR FedLSR Public

    Official codes for ACM CIKM '22 full paper: Towards Federated Learning against Noisy Labels via Local Self-Regularization

    Jupyter Notebook 51 3

  6. FedELC FedELC Public

    Official codes for ACM CIKM '24 full paper: Tackling Noisy Clients in Federated Learning with End-to-end Label Correction

    Python 21 3