XiaoshuChen Profile

About me

个人照片

Xiaoshu Chen is currently pursuing a Ph.D. degree from National University of Defense Technology (NUDT).
My research interest lies in large language model, including employing LLMs for various reasoning tasks
Email | Github | Google Scholar

Experiences

  • 2024- now, Ph.D. student, the College of Computer Science and Technology, National University of Defense Technology (NUDT), advised by Prof. Xinwang Liu.
  • 2022-2024, research engineer, Machine Learning Platform Department, Tencent Inc
  • 2019-2022, M.Eng, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, WuHan University (WHU)
  • 2015-2019, B.S., School of Environment and Spatial Informatics, China University of Mining and Technology (CUMT)

    • News

  • 🎉 [2026.05] One paper has been accepted by ICML 2026.
  • 🎉 [2025.08] One paper has been accepted by EMNLP (Main Conference).
  • 🎉 [2025.07] One paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).
  • 🎉 [2025.07] One paper has been accepted by IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
  • 🎉 [2025.04] First prize at IEEE AICAS 2025 Grand Challenge - LLM for electronic design automation (EDA)
  • 🎉 [2024.11] Invited by LMG 2024 to show our poster about CoT-Distillation!

    • Selected Publications

    2026 ICML

    ImgCoT: Compressing Long Chain of Thought into Compact Visual Tokens for Efficient Reasoning of Large Language Model
    X Chen, S Zhou, K Liang, T Zhou, Y Wang, Y Gao,X Liu

    Paper

    2025 EMNLP

    Skip-thinking: Chunk-wise chain-of-thought distillation enable smaller language models to reason better and faster
    X Chen, S Zhou, Ke Liang, X Sun, X Liu

    Paper

    2025 IEEE TNNLS

    Distilling Reasoning Ability from Large Language Models with Adaptive Thinking
    X Chen, S Zhou, Ke Liang, X Liu

    Paper

    2025 IEEE TKDE

    Thinking on Context: Inductive Relation Prediction Guided by the Reasoning Ability of Large Language Models
    X Chen, S Zhou, Ke Liang, J Wu, X Liu, D Li, K Lu

    Paper

    2026 TKDE

    Efficient LLM-Based Subgraph Retrieval for Multi-Hop Knowledge Base Question Answering
    D Yuan, S Zhou, X Chen, H Chen

    Paper

    2025 IJCAI

    Soft Reasoning Paths for Knowledge Graph Completion
    Y Hou, S Zhou, K Liang, L Meng, X Chen, K Xu, S Wang, X Liu, J Huang

    Paper

    2025 AAAI Oral

    Knowledge Graph Completion with Relation-Aware Anchor Enhancement
    D Yuan, S Zhou, X Chen, D Wang, Ke Liang, X Liu, J Huang

    Paper

    2022 IEEE TGRS

    Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation Using Region and Category Adaptive Domain Discriminator
    X Chen, S Pan, Y Chong

    Paper

    2021 Neurocomputing

    Erase then grow: Generating correct class activation maps for weakly-supervised semantic segmentation
    Y Chong, X Chen, Y Tao, S Pan

    Paper

    Honors & Awards

    China National Scholarship

    2025, the China National Scholarship for Phd Students.

    2018, the China National Scholarship for Undergraduate Students.

    2023 WSDM Cup

    Mar 2023, First prize at WSDM Cup: Unbiased Learning for Web Search and Pre-training for Web Search.

    Paper Detail

    2025 IEEE AICAS 2025 Grand Challenge

    April 2025, First prize at IEEE AICAS 2025 Grand Challenge - LLM for electronic design automation (EDA)

    Paper to be published soon

    Academic Services

  • Reviewer for ACM MM 2024, AAAI 2024-26, ACL ARR, ICML 2026
  • Reviewer for IEEE TNNLS, TKDE