Pseudo Boosted Deep Belief Network. - Tiehang Duan; Sargur N. Srihari (ICANN (2), 2016)

Auto Regressive Dynamic Bayesian Network and Its Application in Stock Market Inference. - Tiehang Duan (AIAI, 2016)

Layerwise Interweaving Convolutional LSTM. - Tiehang Duan; Sargur N. Srihari (Canadian AI, 2017)

Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach. - Tiehang Duan; Qi Lou; Sargur N. Srihari; Xiaohui Xie (PAKDD (3), 2019)

Parallel clustering of single cell transcriptomic data with split-merge sampling on Dirichlet process mixtures. - Tiehang Duan; José P. Pinto; Xiaohui Xie (Bioinform., 2019)

Attention based Writer Independent Verification. - Mohammad Abuzar Shaikh; Tiehang Duan; Mihir Chauhan; Sargur N. Srihari (ICFHR, 2020)

Meta Learn on Constrained Transfer Learning for Low Resource Cross Subject EEG Classification. - Tiehang Duan; Mohammad Abuzar Shaikh; Mihir Chauhan; Jun Chu; Rohini K. Srihari; Archita Pathak; Sargur N. Srihari (IEEE Access, 2020)

Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification. - Tiehang Duan; Mihir Chauhan; Mohammad Abuzar Shaikh; Sargur N. Srihari (CoRR, 2020)

Attention based Writer Independent Handwriting Verification. - Mohammad Abuzar Shaikh; Tiehang Duan; Mihir Chauhan; Sargur N. Srihari (CoRR, 2020)

Ultra Efficient Transfer Learning with Meta Update for Continuous EEG Classification Across Subjects. - Tiehang Duan; Mihir Chauhan; Mohammad Abuzar Shaikh; Jun Chu; Sargur N. Srihari (Canadian AI, 2021)

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. - Zhenyi Wang 001; Tiehang Duan; Le Fang; Qiuling Suo; Mingchen Gao (ICCV, 2021)

Learning to Learn and Remember Super Long Multi-Domain Task Sequence. - Zhenyi Wang 001; Li Shen 008; Tiehang Duan; Donglin Zhan; Le Fang; Mingchen Gao (CVPR, 2022)

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. - Zhenyi Wang 001; Li Shen 008; Le Fang; Qiuling Suo; Donglin Zhan; Tiehang Duan; Mingchen Gao (ECCV (20), 2022)

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. - Zhenyi Wang 001; Li Shen 008; Le Fang; Qiuling Suo; Tiehang Duan; Mingchen Gao (ICML, 2022)

Uncertainty Detection in EEG Neural Decoding Models. - Tiehang Duan; Zhenyi Wang 001; Sheng Liu 001; Sargur N. Srihari; Hui Yang (CoRR, 2022)

Replay with Stochastic Neural Transformation for Online Continual EEG Classification. - Tiehang Duan; Zhenyi Wang 001; Gianfranco Doretto; Fang Li 011; Cui Tao; Donald A. Adjeroh (BIBM, 2023)

MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. - Zhenyi Wang 001; Li Shen 008; Donglin Zhan; Qiuling Suo; Yanjun Zhu; Tiehang Duan; Mingchen Gao (CVPR, 2023)

Distributionally Robust Cross Subject EEG Decoding. - Tiehang Duan; Zhenyi Wang 001; Gianfranco Doretto; Fang Li 011; Cui Tao; Donald A. Adjeroh (ECAI, 2023)

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. - Zhenyi Wang 001; Li Shen 008; Tongliang Liu; Tiehang Duan; Yanjun Zhu; Donglin Zhan; David S. Doermann; Mingchen Gao (NeurIPS, 2023)

UNCER: A framework for uncertainty estimation and reduction in neural decoding of EEG signals. - Tiehang Duan; Zhenyi Wang 001; Sheng Liu 001; Yiyi Yin; Sargur N. Srihari (Neurocomputing, 2023)

Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. - Zhenyi Wang 001; Li Shen 008; Tiehang Duan; Qiuling Suo; Le Fang; Wei Liu 005; Mingchen Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Training A Secure Model Against Data-Free Model Extraction. - Zhenyi Wang 001; Li Shen 008; Junfeng Guo; Tiehang Duan; Siyu Luan; Tongliang Liu; Mingchen Gao (ECCV (79), 2024)

RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization. - 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; et al. (J. Am. Medical Informatics Assoc., 2024)

Online continual decoding of streaming EEG signal with a balanced and informative memory buffer. - Tiehang Duan; Zhenyi Wang 001; Fang Li 011; Gianfranco Doretto; Donald A. Adjeroh; Yiyi Yin; Cui Tao (Neural Networks, 2024)

Retain and Adapt: Online Sequential EEG Classification With Subject Shift. - Tiehang Duan; Zhenyi Wang 001; Li Shen 008; Gianfranco Doretto; Donald A. Adjeroh; Fang Li 011; Cui Tao (IEEE Trans. Artif. Intell., 2024)

ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding. - Lijing Zhu; Qizhen Lan; Qing Tian; Wenbo Sun; Li Yang; Lu Xia; Yixin Xie; Xi Xiao; Tiehang Duan; Cui Tao; Shuteng Niu (CoRR, 2025)