Tiexin Qin

25 papers A* 5Misc 1Journal 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generalizable Dynamic Representation Learning for Source Identification in Sequential Data.
IEEE Trans. Knowl. Data Eng.
Bo Ding, Tiexin Qin, Renjie Wan, Haoliang Li
2026 J jnl
Learning Dynamic Graph Embeddings With Neural Controlled Differential Equations.
IEEE Trans. Pattern Anal. Mach. Intell.
Tiexin Qin, Benjamin Walker, Terry J. Lyons, Hong Yan, Haoliang Li
2025 A* conf
Deep Signature: Characterization of Large-Scale Molecular Dynamics.
ICLR
Tiexin Qin, Mengxu Zhu, Chunyang Li, Terry Lyons, Hong Yan, Haoliang Li
2025 J jnl
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance.
CoRR
Hui Liu, Wenya Wang, Kecheng Chen, Jie Liu, Yibing Liu, Tiexin Qin, Peisong He, Xinghao Jiang, Haoliang Li
2025 J jnl
Generalizing to New Dynamical Systems via Frequency Domain Adaptation.
CoRR
Tiexin Qin, Hong Yan, Haoliang Li
2025 J jnl
Generalizing to New Dynamical Systems via Frequency Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Tiexin Qin, Hong Yan, Haoliang Li
2025 J jnl
Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning.
CoRR
Torben Berndt, Benjamin Walker, Tiexin Qin, Jan Stühmer, Andrey Kormilitzin
2025 A* conf
Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression.
CVPR
Jie Liu, Tiexin Qin, Hui Liu, Yilei Shi, Lichao Mou, Xiao Xiang Zhu, Shiqi Wang, Haoliang Li
2025 J jnl
Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression.
CoRR
Jie Liu, Tiexin Qin, Hui Liu, Yilei Shi, Lichao Mou, Xiao Xiang Zhu, Shiqi Wang, Haoliang Li
2025 J jnl
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates.
CoRR
Kecheng Chen, Xinyu Luo, Tiexin Qin, Jie Liu, Hui Liu, Victor Ho-fun Lee, Hong Yan, Haoliang Li
2025 A* conf
Test-time Adaptation for Image Compression with Distribution Regularization.
ICLR
Kecheng Chen, Pingping Zhang, Tiexin Qin, Shiqi Wang, Hong Yan, Haoliang Li
2024 J jnl
Deep Signature: Characterization of Large-Scale Molecular Dynamics.
CoRR
Tiexin Qin, Mengxu Zhu, Chunyang Li, Terry Lyons, Hong Yan, Haoliang Li
2024 J jnl
Learning Robust Shape Regularization for Generalizable Medical Image Segmentation.
IEEE Trans. Medical Imaging
Kecheng Chen, Tiexin Qin, Victor Ho-fun Lee, Hong Yan, Haoliang Li
2024 A* conf
Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference.
ICML
Benjamin Walker, Andrew D. McLeod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry J. Lyons
2024 J jnl
Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference.
CoRR
Benjamin Walker, Andrew D. McLeod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry J. Lyons
2024 J jnl
Test-time adaptation for image compression with distribution regularization.
CoRR
Kecheng Chen, Pingping Zhang, Tiexin Qin, Shiqi Wang, Hong Yan, Haoliang Li
2023 J jnl
Evolving Domain Generalization via Latent Structure-Aware Sequential Autoencoder.
IEEE Trans. Pattern Anal. Mach. Intell.
Tiexin Qin, Shiqi Wang, Haoliang Li
2023 J jnl
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations.
CoRR
Tiexin Qin, Benjamin Walker, Terry J. Lyons, Hong Yan, Haoliang Li
2023 J jnl
LibFewShot: A Comprehensive Library for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo
2022 A* conf
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder.
ICML
Tiexin Qin, Shiqi Wang, Haoliang Li
2022 J jnl
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder.
CoRR
Tiexin Qin, Shiqi Wang, Haoliang Li
2021 J jnl
LibFewShot: A Comprehensive Library for Few-shot Learning.
CoRR
Wenbin Li, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Xuesong Yang, Ziyi Wang, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo
2020 Misc conf
Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.
ICASSP
Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen
2020 J jnl
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.
CoRR
Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen
2020 J jnl
Unsupervised Few-shot Learning via Distribution Shift-based Augmentation.
CoRR
Tiexin Qin, Wenbin Li, Yinghuan Shi, Yang Gao