| Improving task-free continual learning by distributionally robust memory evolution Z Wang, L Shen, L Fang, Q Suo, T Duan, M Gao International conference on machine learning, 22985-22998, 2022 | 34 | 2022 |
| Meta learn on constrained transfer learning for low resource cross subject EEG classification T Duan, MA Shaikh, M Chauhan, J Chu, RK Srihari, A Pathak, SN Srihari IEEE Access 8, 224791-224802, 2020 | 34 | 2020 |
| Attention based writer independent verification MA Shaikh, T Duan, M Chauhan, SN Srihari 2020 17th International Conference on Frontiers in Handwriting Recognition …, 2020 | 32 | 2020 |
| Learning to learn and remember super long multi-domain task sequence Z Wang, L Shen, T Duan, D Zhan, L Fang, M Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
| Meta learning on a sequence of imbalanced domains with difficulty awareness Z Wang, T Duan, L Fang, Q Suo, M Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 19 | 2021 |
| Ultra efficient transfer learning with meta update for cross subject EEG classification T Duan, M Chauhan, MA Shaikh, J Chu, S Srihari arXiv preprint arXiv:2003.06113, 2020 | 19 | 2020 |
| Parallel clustering of single cell transcriptomic data with split-merge sampling on Dirichlet process mixtures T Duan, JP Pinto, X Xie Bioinformatics 35 (6), 953-961, 2019 | 17 | 2019 |
| Meta-learning with less forgetting on large-scale non-stationary task distributions Z Wang, L Shen, L Fang, Q Suo, D Zhan, T Duan, M Gao European Conference on Computer Vision, 221-238, 2022 | 11 | 2022 |
| Sequential embedding induced text clustering, a non-parametric bayesian approach T Duan, Q Lou, SN Srihari, X Xie Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 7 | 2019 |
| Layerwise interweaving convolutional LSTM T Duan, SN Srihari Advances in Artificial Intelligence: 30th Canadian Conference on Artificial …, 2017 | 7 | 2017 |
| UNCER: A framework for uncertainty estimation and reduction in neural decoding of eeg signals T Duan, Z Wang, S Liu, Y Yin, SN Srihari Neurocomputing 538, 126210, 2023 | 5 | 2023 |
| Metamix: Towards corruption-robust continual learning with temporally self-adaptive data transformation Z Wang, L Shen, D Zhan, Q Suo, Y Zhu, T Duan, M Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Auto regressive dynamic Bayesian network and its application in stock market inference T Duan Artificial Intelligence Applications and Innovations: 12th IFIP WG 12.5 …, 2016 | 5 | 2016 |
| Pseudo boosted deep belief network T Duan, SN Srihari Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016 | 4 | 2016 |
| Distributionally robust memory evolution with generalized divergence for continual learning Z Wang, L Shen, T Duan, Q Suo, L Fang, W Liu, M Gao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 3 | 2023 |
| Ultra Efficient Transfer Learning with Meta Update for Continuous EEG Classification Across Subjects T Duan, M Chauhan, MA Shaikh, J Chu, SN Srihari | 3* | |
| Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training Z Wang, L Shen, T Liu, T Duan, Y Zhu, D Zhan, D Doermann, M Gao Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Online continual decoding of streaming EEG signal with a balanced and informative memory buffer T Duan, Z Wang, F Li, G Doretto, D Adjeroh, Y Yin, C Tao Neural Networks, 106338, 2024 | | 2024 |
| Retain and Adapt: Online Sequential EEG Classification with Subject Shift T Duan, Z Wang, L Shen, G Doretto, DA Adjeroh, F Li, C Tao IEEE Transactions on Artificial Intelligence, 2024 | | 2024 |
| Replay with Stochastic Neural Transformation for Online Continual EEG Classification T Duan, Z Wang, G Doretto, F Li, C Tao, D Adjeroh 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
