Tiexin Qin
Logo Postdoc

I am currently a postdoc researcher at the Department of Electrical Engineering, City University of Hong Kong. I got my Ph.D. degree from City University of Hong Kong, supervised by Prof. Haoliang Li, and MSc degree from Nanjing University, supervised by Prof. Yinghuan Shi. I also had a wonderful experience as a visiting scholar at the University of Oxford, working with Prof. Terry Lyons.

My research interests encompass machine learning for complex systems and transfer learning, with a particular focus on their grounded mathematical principles and practical applications.

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News
2025
Our GN-CDEs for dynamic graph is accepted to TPAMI 2025.
Sep 28
One paper is accepted to NeurIPS 2025.
Sep 19
Pass my PhD thesis defense.
Jul 16
Invited talk at Rough Path Interest Group.
Jul 09
One paper is accepted to ICCV 2025.
Jun 26
One paper is accepted to TPAMI 2025.
Jun 17
One paper is accepted to CVPR 2025.
Mar 10
Two papers are accepted to ICLR 2025.
Jan 23
2024
One work about molecular dynamics has been released. Read more
Oct 02
Sep 05
One paper is accepted to TMI 2024.
Jun 22
🎉 One paper to appear in ICML 2024.
May 30
Start visiting Prof. Terry Lyons's group at Oxford.
Jan 27
2023
Two papers are accepted to TPAMI 2023.
Sep 05
2022
Invited talk at AI Time, See bilibili
Aug 17
Publications (view all )
Learning dynamic graph embeddings with neural controlled differential equations
Learning dynamic graph embeddings with neural controlled differential equations

Tiexin Qin, Benjamin Walker, Terry Lyons, Hong Yan, Haoliang Li

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2025

[Paper] [Code]

Learning dynamic graph embeddings with neural controlled differential equations
Learning dynamic graph embeddings with neural controlled differential equations

Tiexin Qin, Benjamin Walker, Terry Lyons, Hong Yan, Haoliang Li

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2025

[Paper] [Code]

Deep Signature: Characterization of Large-Scale Molecular Dynamics
Deep Signature: Characterization of Large-Scale Molecular Dynamics

Tiexin Qin, Mengxu Zhu, Chunyang Li, Terry Lyons, Hong Yan, Haoliang Li

International Conference on Learning Representations (ICLR) 2025

[Paper] [Code]

Deep Signature: Characterization of Large-Scale Molecular Dynamics
Deep Signature: Characterization of Large-Scale Molecular Dynamics

Tiexin Qin, Mengxu Zhu, Chunyang Li, Terry Lyons, Hong Yan, Haoliang Li

International Conference on Learning Representations (ICLR) 2025

[Paper] [Code]

Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder

Tiexin Qin, Shiqi Wang, Haoliang Li

International Conference on Machine Learning (ICML) 2022

[Paper] [Code]

Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder

Tiexin Qin, Shiqi Wang, Haoliang Li

International Conference on Machine Learning (ICML) 2022

[Paper] [Code]

All publications
Education
  • City University of Hong Kong
    City University of Hong Kong
    Department of Electrical Engineering
    Ph.D. Student
    Sep. 2021 - Oct. 2025
  • Nanjing University
    Nanjing University
    M.S. in Computer Science
    Outstanding Postgraduate
    Sep. 2018 - Jul. 2021
  • China University of Mining and Technology
    China University of Mining and Technology
    B.S. in Computer Science
    Outstanding Undergraduate
    Sep. 2014 - Jul. 2018
Honors & Awards
  • Research Tuition Scholarship
    2024
  • China National Scholarship
    2016
Service
  • Conference reviewer: 
    ICML, ICLR, NeurIPS, CVPR, ICCV, WACV, AAAI, AISTATS
  • Journal reviewer: 
    TPAMI, TCSVT