About

  • I am a Ph.D. student at the University of Science and Technology of China (USTC), co-supervised by Prof. S. Kevin Zhou(Fellow of IEEE, AIMBE, NAI) and Dr. Peng Xiong.
  • Previously, I received my bachelor degree from USTC in 2020 and obtained my master degree from Institute of Computing Technology (ICT) and University of Chinese Academy of Sciences (UCAS) in 2023.
  • My research centers on AI for Science (AI4S), with specific focus on fundamental challenges in computational biology. I aim to integrate physical priors with deep learning to address the scarcity of high-resolution structural data, thereby establishing robust sequence-structure-function mappings through multimodal biological data fusion. These approaches decipher RNA’s dynamic structures and diverse functionalities, targeting:
    • Systematic annotation of functional RNA motifs within non-coding genomic regions.
    • AI-driven drug discovery via RNA-ligand interaction modeling.
  • Prior to this focus, I worked on medical imaging computing, where I developed universal models and few-shot learning methods for localizing anatomical landmarks, aiming at bridging domain gaps and enhancing model adaptability for clinical diagnostics.
  • Here is my CV. If you are interested in knowing more about me, please feel free to contact me via email.

News

  • 2024.10:   We release BPfold, an effective tool for RNA secondary structure prediction.

Educations

  • 2023.09 - present, Ph.D. student of Biomedical Engineering, Suzhou Institute for Advanced Research, University of Science and Technology of China (USTC), Suzhou, China
  • 2020.09 - 2023.06, Master of Computer Applications, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China
  • 2020.09 - 2023.06, Master of Computer Applications, University of Chinese Academy of Sciences (UCAS), Beijing, China
  • 2016.09 - 2020.06, Bachelor of Computer Science and Technology, University of Science and Technology of China (USTC), Hefei, China
    • Hua Xia Talent Program in Computer Science and Technology

Honors and Awards

  • 2025, Suzhou Industrial Park Scholarship, USTC
  • 2024, First Class Scholarship, USTC
  • 2020-2023, First Class Scholarship, UCAS & ICT
  • 2023, Merit Student Award, UCAS & ICT
  • 2018-2019, Outstanding Student Award, USTC
  • 2017, Institute of Chemistry Excellence Scholarship, USTC

Professional Experiences

  • 2021.07 - 2021.11, Research Intern, Tencent Jarvis Lab, Shenzhen, China
  • 2019.09 - 2020.04, Research Intern, Z2sky, Suzhou, China

Professional Services

  • Journal Reviewers
    • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • Conference Reviewers:
    • International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Teaching & Volunteer Experiences

  • 2024, Volunteer: Medical Augmented Reality Summer School, Suzhou
  • Fall 2023, Teaching Assistant: Electronic information openness practices, USTC
  • 2023, Volunteer: Dushu Lake Forum Dushu Lake Symposium on Medical lmage Computing, Suzhou

Publications

(Selected publications, # indicates equal contribution and * indicates corresponding authors. For full list, please refer to Google Scholar)

RNA Secondary Structure Prediction

Few-shot Learning

Anatomical Landmark Detection

Unsupervised & Self-supervised Learning

Others