Tiehang Duan

37 papers A* 5A 2B 1Misc 1Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Release the Potential of Memory Buffer in Continual Learning: A Dynamic System Perspective.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhenyi Wang, Li Shen, Tiehang Duan, Yanjun Zhu, Tongliang Liu, Mingchen Gao, Dacheng Tao
2026 J jnl
Teleportation: Defense Against Stealing Attacks of Data-Driven Healthcare APIs.
IEEE Trans. Artif. Intell.
Tiehang Duan, Zhenyi Wang, Li Shen, Siyu Luan, Fang Li, Gianfranco Doretto, Donald A. Adjeroh, Shuteng Niu, Jianfu Li, Cui Tao
2025 — conf
ETT-CKGE: Efficient Task-Driven Tokens for Continual Knowledge Graph Embedding.
ECML/PKDD (6)
Lijing Zhu, Qizhen Lan, Qing Tian, Wenbo Sun, Li Yang, Lu Xia, Yixin Xie, Xi Xiao, Tiehang Duan, Cui Tao, Shuteng Niu
2025 J jnl
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding.
CoRR
Lijing Zhu, Qizhen Lan, Qing Tian, Wenbo Sun, Li Yang, Lu Xia, Yixin Xie, Xi Xiao, Tiehang Duan, Cui Tao, Shuteng Niu
2025 A conf
Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults.
CIKM
Donghyun Jeon, Lijing Zhu, Haifang Li, Pengze Li, Jingna Feng, Tiehang Duan, Houbing Herbert Song, Cui Tao, Shuteng Niu
2025 J jnl
Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults.
CoRR
Donghyun Jeon, Lijing Zhu, Haifang Li, Pengze Li, Jingna Feng, Tiehang Duan, Houbing Herbert Song, Cui Tao, Shuteng Niu
2024 J jnl
Online continual decoding of streaming EEG signal with a balanced and informative memory buffer.
Neural Networks
Tiehang Duan, Zhenyi Wang, Fang Li, Gianfranco Doretto, Donald A. Adjeroh, Yiyi Yin, Cui Tao
2024 J jnl
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization.
J. Am. Medical Informatics Assoc.
Yiming Li, Jeff Zhao, Manqi Li, Yifang Dang, Evan Yu, Jianfu Li, Zenan Sun, Usama Hussein, Jianguo Wen, Ahmed M. Abdelhameed, Junhua Mai, Shenduo Li, Yue Yu, Xinyue Hu, Daowei Yang, Jingna Feng, Zehan Li, Jianping He, Wei Tao, Tiehang Duan, Yanyan Lou, Fang Li, Cui Tao
2024 J jnl
Retain and Adapt: Online Sequential EEG Classification With Subject Shift.
IEEE Trans. Artif. Intell.
Tiehang Duan, Zhenyi Wang, Li Shen, Gianfranco Doretto, Donald A. Adjeroh, Fang Li, Cui Tao
2024 — conf
Training A Secure Model Against Data-Free Model Extraction.
ECCV (79)
Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao
2023 A* conf
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training.
NeurIPS
Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao
2023 A conf
Distributionally Robust Cross Subject EEG Decoding.
ECAI
Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh
2023 J jnl
Distributionally Robust Cross Subject EEG Decoding.
CoRR
Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh
2023 J jnl
Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao
2023 A* conf
MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation.
CVPR
Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao
2023 — conf
Replay with Stochastic Neural Transformation for Online Continual EEG Classification.
BIBM
Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh
2023 J jnl
UNCER: A framework for uncertainty estimation and reduction in neural decoding of EEG signals.
Neurocomputing
Tiehang Duan, Zhenyi Wang, Sheng Liu, Yiyi Yin, Sargur N. Srihari
2022 A* conf
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution.
ICML
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
2022 J jnl
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution.
CoRR
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
2022 A* conf
Learning to Learn and Remember Super Long Multi-Domain Task Sequence.
CVPR
Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao
2022 — conf
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.
ECCV (20)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
2022 J jnl
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.
CoRR
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
2022 J jnl
Uncertainty Detection in EEG Neural Decoding Models.
CoRR
Tiehang Duan, Zhenyi Wang, Sheng Liu, Sargur N. Srihari, Hui Yang
2021 A* conf
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness.
ICCV
Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
2021 J jnl
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness.
CoRR
Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
2021 — conf
Ultra Efficient Transfer Learning with Meta Update for Continuous EEG Classification Across Subjects.
Canadian AI
Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh, Jun Chu, Sargur N. Srihari
2020 J jnl
Attention based Writer Independent Handwriting Verification.
CoRR
Mohammad Abuzar Shaikh, Tiehang Duan, Mihir Chauhan, Sargur N. Srihari
2020 B conf
Attention based Writer Independent Verification.
ICFHR
Mohammad Abuzar Shaikh, Tiehang Duan, Mihir Chauhan, Sargur N. Srihari
2020 J jnl
Meta Learn on Constrained Transfer Learning for Low Resource Cross Subject EEG Classification.
IEEE Access
Tiehang Duan, Mohammad Abuzar Shaikh, Mihir Chauhan, Jun Chu, Rohini K. Srihari, Archita Pathak, Sargur N. Srihari
2020 J jnl
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification.
CoRR
Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh, Sargur N. Srihari
2019 J jnl
Parallel clustering of single cell transcriptomic data with split-merge sampling on Dirichlet process mixtures.
Bioinform.
Tiehang Duan, José P. Pinto, Xiaohui Xie
2019 — conf
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach.
PAKDD (3)
Tiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie
2018 J jnl
Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures.
CoRR
Tiehang Duan, José P. Pinto, Xiaohui Xie
2018 J jnl
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach.
CoRR
Tiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie
2017 — conf
Layerwise Interweaving Convolutional LSTM.
Canadian AI
Tiehang Duan, Sargur N. Srihari
2016 Misc conf
Auto Regressive Dynamic Bayesian Network and Its Application in Stock Market Inference.
AIAI
Tiehang Duan
2016 — conf
Pseudo Boosted Deep Belief Network.
ICANN (2)
Tiehang Duan, Sargur N. Srihari