Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0003-2968-7320
Google Scholar Profile: 86PL14gAAAAJ
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Dive into the research topics where Tiexin QIN is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations from the last five years
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Research output
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Deep Signature: Characterization of Large-Scale Molecular Dynamics
Qin, T., Zhu, M., Li, C., Lyons, T., Yan, H. & Li, H., Jun 2025, 13th International Conference on Learning Representations (ICLR 2025). International Conference on Learning Representations, ICLR, 18 p. (ICLR Proceedings).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access -
Generalizing to New Dynamical Systems via Frequency Domain Adaptation
Qin, T., Yan, H. & Li, H., 20 Jun 2025, (Online published) In: IEEE Transactions on Pattern Analysis and Machine Intelligence.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations
Qin, T., Walker, B., Lyons, T., Yan, H. & Li, H., 3 Oct 2025, (Online published) In: IEEE Transactions on Pattern Analysis and Machine Intelligence.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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TEST-TIME ADAPTATION FOR IMAGE COMPRESSION WITH DISTRIBUTION REGULARIZATION
Chen, K., Zhang, P., Qin, T., Wang, S., Yan, H. & Li, H., Apr 2025, The Thirteenth International Conference on Learning Representations (ICLR 2025). Yue, Y., Garg, A., Peng, N., Sha, F. & Yu, R. (eds.). International Conference on Learning Representations, ICLR, p. 23686-23703 (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
File5 Downloads (CityUHK Scholars) -
Learning Robust Shape Regularization for Generalizable Medical Image Segmentation
Chen, K., Qin, T., Lee, V.H.-F., Yan, H. & Li, H., Jul 2024, In: IEEE Transactions on Medical Imaging. 43, 7, p. 2693-2706 14 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
14 Citations (Scopus)
Prizes
Thesis
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Learning to Evolve: Machine Learning for Complex Dynamic Systems
QIN, T. (Author), LI, H. (Supervisor), 24 Jul 2025Student thesis: Doctoral Thesis