Tiexin Qin
Logo PhD Candidate

I am a final-year PhD student at City University of Hong Kong, fortunately supervised by Prof. Haoliang Li. Before that, I was fortunately supervised by Prof. Yinghuan Shi at Nanjing University. My current research interests encompass machine learning for complex systems and transfer learning, with a particular focus on their grounded mathematical principles and practical applications.

Google Scholar GitHub CV
News
2024
One work about molecular dynamics has been released. Read more
Oct 02
Sep 05
One paper gets accepted in 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 get accepted in TPAMI 2023.
Sep 05
2022
Invited talk at AI Time, See bilibili
Aug 17
Publications (view all )
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

arXiv (Preprint) 2024

[Paper]

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

arXiv (Preprint) 2024

[Paper]

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

arXiv (Preprint) 2023

[Paper]

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

arXiv (Preprint) 2023

[Paper]

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 - present
  • Nanjing University
    Nanjing University
    M.S. in Computer Science
    Sep. 2018 - Jul. 2021
  • China University of Mining and Technology
    China University of Mining and Technology
    B.S. in Computer Science
    Sep. 2014 - Jul. 2018
Honors & Awards
  • Research Tuition Scholarship
    2024
  • Outstanding Undergraduate
    2018
  • China National Scholarship
    2016