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Tiehang Duan
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Journal Articles
- 2024
- [j5]Tiehang Duan
, Zhenyi Wang
, Fang Li, Gianfranco Doretto
, Donald A. Adjeroh, Yiyi Yin
, Cui Tao:
Online continual decoding of streaming EEG signal with a balanced and informative memory buffer. Neural Networks 176: 106338 (2024) - 2023
- [j4]Tiehang Duan, Zhenyi Wang, Sheng Liu, Yiyi Yin, Sargur N. Srihari:
UNCER: A framework for uncertainty estimation and reduction in neural decoding of EEG signals. Neurocomputing 538: 126210 (2023) - [j3]Zhenyi Wang
, Li Shen
, Tiehang Duan
, Qiuling Suo
, Le Fang
, Wei Liu
, Mingchen Gao
:
Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14337-14352 (2023) - 2020
- [j2]Tiehang Duan
, Mohammad Abuzar Shaikh
, Mihir Chauhan, Jun Chu, Rohini K. Srihari, Archita Pathak
, Sargur N. Srihari:
Meta Learn on Constrained Transfer Learning for Low Resource Cross Subject EEG Classification. IEEE Access 8: 224791-224802 (2020) - 2019
- [j1]Tiehang Duan, José P. Pinto, Xiaohui Xie:
Parallel clustering of single cell transcriptomic data with split-merge sampling on Dirichlet process mixtures. Bioinform. 35(6): 953-961 (2019)
Conference and Workshop Papers
- 2023
- [c14]Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh:
Replay with Stochastic Neural Transformation for Online Continual EEG Classification. BIBM 2023: 1874-1879 - [c13]Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao:
MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. CVPR 2023: 24521-24531 - [c12]Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh:
Distributionally Robust Cross Subject EEG Decoding. ECAI 2023: 575-582 - [c11]Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao:
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. NeurIPS 2023 - 2022
- [c10]Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao:
Learning to Learn and Remember Super Long Multi-Domain Task Sequence. CVPR 2022: 7972-7982 - [c9]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao:
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. ECCV (20) 2022: 221-238 - [c8]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao:
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. ICML 2022: 22985-22998 - 2021
- [c7]Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh, Jun Chu, Sargur N. Srihari:
Ultra Efficient Transfer Learning with Meta Update for Continuous EEG Classification Across Subjects. Canadian AI 2021 - [c6]Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao:
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. ICCV 2021: 8927-8937 - 2020
- [c5]Mohammad Abuzar Shaikh
, Tiehang Duan, Mihir Chauhan, Sargur N. Srihari:
Attention based Writer Independent Verification. ICFHR 2020: 373-379 - 2019
- [c4]Tiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie:
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach. PAKDD (3) 2019: 68-80 - 2017
- [c3]Tiehang Duan, Sargur N. Srihari:
Layerwise Interweaving Convolutional LSTM. Canadian AI 2017: 272-277 - 2016
- [c2]Tiehang Duan, Sargur N. Srihari:
Pseudo Boosted Deep Belief Network. ICANN (2) 2016: 105-112 - [c1]Tiehang Duan:
Auto Regressive Dynamic Bayesian Network and Its Application in Stock Market Inference. AIAI 2016: 419-428
Informal and Other Publications
- 2023
- [i9]Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh:
Distributionally Robust Cross Subject EEG Decoding. CoRR abs/2308.11651 (2023) - 2022
- [i8]Tiehang Duan, Zhenyi Wang, Sheng Liu, Sargur N. Srihari, Hui Yang:
Uncertainty Detection in EEG Neural Decoding Models. CoRR abs/2201.00627 (2022) - [i7]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao:
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. CoRR abs/2207.07256 (2022) - [i6]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao:
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. CoRR abs/2209.01501 (2022) - 2021
- [i5]Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao:
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. CoRR abs/2109.14120 (2021) - 2020
- [i4]Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh, Sargur N. Srihari:
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification. CoRR abs/2003.06113 (2020) - [i3]Mohammad Abuzar Shaikh, Tiehang Duan, Mihir Chauhan, Sargur N. Srihari:
Attention based Writer Independent Handwriting Verification. CoRR abs/2009.04532 (2020) - 2018
- [i2]Tiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie:
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach. CoRR abs/1811.12500 (2018) - [i1]Tiehang Duan, José P. Pinto, Xiaohui Xie:
Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures. CoRR abs/1812.10048 (2018)
Coauthor Index
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