Search Results - "Duan, Tiehang"

Meta Learn on Constrained Transfer Learning for Low Resource Cross Subject EEG Classification by Duan, Tiehang, Shaikh, Mohammad Abuzar, Chauhan, Mihir, Chu, Jun, Srihari, Rohini K., Pathak, Archita, Srihari, Sargur N.

“…Electroencephalogram (EEG) signal has large variance and its pattern differs significantly across subjects. Cross subject EEG classification is a challenging…”
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Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning by Wang, Zhenyi, Shen, Li, Duan, Tiehang, Suo, Qiuling, Fang, Le, Liu, Wei, Gao, Mingchen

“…Continual learning (CL) aims to learn a non-stationary data distribution and not forget previous knowledge. The effectiveness of existing approaches that rely…”
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UNCER: A framework for uncertainty estimation and reduction in neural decoding of EEG signals by Duan, Tiehang, Wang, Zhenyi, Liu, Sheng, Yin, Yiyi, Srihari, Sargur N.

“…EEG decoding systems based on deep neural networks have been widely used in the decision-making of brain-computer interfaces (BCI). Their predictions, however,…”
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Online continual decoding of streaming EEG signal with a balanced and informative memory buffer by Duan, Tiehang, Wang, Zhenyi, Li, Fang, Doretto, Gianfranco, Adjeroh, Donald A., Yin, Yiyi, Tao, Cui

“…Electroencephalography (EEG) based Brain Computer Interface (BCI) systems play a significant role in facilitating how individuals with neurological impairments…”
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Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness by Wang, Zhenyi, Duan, Tiehang, Fang, Le, Suo, Qiuling, Gao, Mingchen

“…Recognizing new objects by learning from a few labeled examples in an evolving environment is crucial to obtain excellent generalization ability for real-world…”
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Parallel clustering of single cell transcriptomic data with split-merge sampling on Dirichlet process mixtures by Duan, Tiehang, Pinto, José P, Xie, Xiaohui

“…Abstract Motivation With the development of droplet based systems, massive single cell transcriptome data has become available, which enables analysis of…”
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Analytically Formulated Attention Model with Neural Tangent Kernel by Duan, Tiehang

“…In the field of deep learning, attention mechanism is an approach that imitates human cognition. The mechanism helps a model to focus on important portions of…”
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RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization by Li, Yiming, Zhao, Jeff, Li, Manqi, Dang, Yifang, Yu, Evan, Li, Jianfu, Sun, Zenan, Hussein, Usama, Wen, Jianguo, Abdelhameed, Ahmed M, Mai, Junhua, Li, Shenduo, Yu, Yue, Hu, Xinyue, Yang, Daowei, Feng, Jingna, Li, Zehan, He, Jianping, Tao, Wei, Duan, Tiehang, Lou, Yanyan, Li, Fang, Tao, Cui

“…Precise literature recommendation and summarization are crucial for biomedical professionals. While the latest iteration of generative pretrained transformer…”
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Retain and Adapt: Online Sequential EEG Classification With Subject Shift by Duan, Tiehang, Wang, Zhenyi, Shen, Li, Doretto, Gianfranco, Adjeroh, Donald A., Li, Fang, Tao, Cui

“…Large variance exists in Electroencephalogram (EEG) signals with its pattern differing significantly across subjects. It is a challenging problem to perform…”
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Learning to Learn and Remember Super Long Multi-Domain Task Sequence by Wang, Zhenyi, Shen, Li, Duan, Tiehang, Zhan, Donglin, Fang, Le, Gao, Mingchen

“…Catastrophic forgetting (CF) frequently occurs when learning with non-stationary data distribution. The CF issue remains nearly unexplored and is more…”
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MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation by Wang, Zhenyi, Shen, Li, Zhan, Donglin, Suo, Qiuling, Zhu, Yanjun, Duan, Tiehang, Gao, Mingchen

“…Continual Learning (CL) has achieved rapid progress in recent years. However, it is still largely unknown how to determine whether a CL model is trustworthy…”
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Deep Learning Networks and Its Application in Neural Machine Translation by Duan, Tiehang

“…In this thesis, we explored the mechanism of deep learning networks including deep belief networks, convolution neural networks and recurrent neural networks…”
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Attention based Writer Independent Verification by Shaikh, Mohammad Abuzar, Duan, Tiehang, Chauhan, Mihir, Srihari, Sargur N.

“…The task of writer verification is to provide a likelihood score for whether the queried and known handwritten image samples belong to the same writer or not…”
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Distributionally Robust Cross Subject EEG Decoding by Duan, Tiehang, Wang, Zhenyi, Doretto, Gianfranco, Li, Fang, Tao, Cui, Adjeroh, Donald

“…Recently, deep learning has shown to be effective for Electroencephalography (EEG) decoding tasks. Yet, its performance can be negatively influenced by two key…”
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Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness by Wang, Zhenyi, Duan, Tiehang, Fang, Le, Suo, Qiuling, Gao, Mingchen

“…Recognizing new objects by learning from a few labeled examples in an evolving environment is crucial to obtain excellent generalization ability for real-world…”
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Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions by Wang, Zhenyi, Shen, Li, Fang, Le, Suo, Qiuling, Zhan, Donglin, Duan, Tiehang, Gao, Mingchen

“…The paradigm of machine intelligence moves from purely supervised learning to a more practical scenario when many loosely related unlabeled data are available…”
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Improving Task-free Continual Learning by Distributionally Robust Memory Evolution by Wang, Zhenyi, Shen, Li, Fang, Le, Suo, Qiuling, Duan, Tiehang, Gao, Mingchen

“…Task-free continual learning (CL) aims to learn a non-stationary data stream without explicit task definitions and not forget previous knowledge. The widely…”
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Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures by Duan, Tiehang, Pinto, José P, Xie, Xiaohui

“…Motivation: With the development of droplet based systems, massive single cell transcriptome data has become available, which enables analysis of cellular and…”
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Uncertainty Detection and Reduction in Neural Decoding of EEG Signals by Duan, Tiehang, Wang, Zhenyi, Liu, Sheng, Srihari, Sargur N, Yang, Hui

“…EEG decoding systems based on deep neural networks have been widely used in decision making of brain computer interfaces (BCI). Their predictions, however, can…”
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Attention based Writer Independent Handwriting Verification by Shaikh, Mohammad Abuzar, Duan, Tiehang, Chauhan, Mihir, Srihari, Sargur

“…The task of writer verification is to provide a likelihood score for whether the queried and known handwritten image samples belong to the same writer or not…”
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