Tiehang Duan

According to our database, Tiehang Duan authored at least 21 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning.

Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

UNCER: A framework for uncertainty estimation and reduction in neural decoding of EEG signals.

Tiehang Duan, Zhenyi Wang, Sheng Liu, Yiyi Yin, Sargur N. Srihari

Neurocomputing, June, 2023

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training.

Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributionally Robust Cross Subject EEG Decoding.

Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation.

Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Replay with Stochastic Neural Transformation for Online Continual EEG Classification.

Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Uncertainty Detection in EEG Neural Decoding Models.

Tiehang Duan, Zhenyi Wang, Sheng Liu, Sargur N. Srihari, Hui Yang

CoRR, 2022

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution.

Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao

Proceedings of the International Conference on Machine Learning, 2022

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.

Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Learn and Remember Super Long Multi-Domain Task Sequence.

Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness.

Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

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 Cross Subject EEG Classification.

Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh, Sargur N. Srihari

CoRR, 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

Attention based Writer Independent Verification.

Mohammad Abuzar Shaikh, Tiehang Duan, Mihir Chauhan, Sargur N. Srihari

Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

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

Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach.

Tiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2017

Layerwise Interweaving Convolutional LSTM.

Tiehang Duan, Sargur N. Srihari

Proceedings of the Advances in Artificial Intelligence, 2017

2016

Auto Regressive Dynamic Bayesian Network and Its Application in Stock Market Inference.

Tiehang Duan

Proceedings of the Artificial Intelligence Applications and Innovations, 2016

Pseudo Boosted Deep Belief Network.

Tiehang Duan, Sargur N. Srihari

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016