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Audio-visual Attentive Fusion for Continuous Emotion Recognition

Jul 09, 2021
Su Zhang, Yi Ding, Ziquan Wei, Cuntai Guan

* 6 pages 

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LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface

May 05, 2021
Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition

Apr 07, 2021
Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan

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Augmentation Strategies for Learning with Noisy Labels

Mar 04, 2021
Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer

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Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet

Dec 22, 2020
Yi Ding, Qiqi Yang, Guozheng Wu, Jian Zhang, Zhiguang Qin

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A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views?

Dec 21, 2020
Yi Ding, Wei Zheng, Guozheng Wu, Ji Geng, Mingsheng Cao, Zhiguang Qin

* 21 pages, 6 figures 

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DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption

Dec 21, 2020
Yi Ding, Fuyuan Tan, Zhen Qin, Mingsheng Cao, Kim-Kwang Raymond Choo, Zhiguang Qin

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Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing

Nov 08, 2020
Mengran Liu, Weiwei Fang, Xiaodong Ma, Wenyuan Xu, Naixue Xiong, Yi Ding

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Aug 11, 2020
Gang Chen, Yi Ding, Hugo Edwards, Chong Hin Chau, Sai Hou, Grace Johnson, Mohammed Sharukh Syed, Haoyuan Tang, Yue Wu, Ye Yan, Gil Tidhar, Nir Lipovetzky

* Best ICAPS 19 - Systen Demo Award - technical report 

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A polynomial-time algorithm for learning nonparametric causal graphs

Jun 22, 2020
Ming Gao, Yi Ding, Bryon Aragam

* 30 pages 

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DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things

May 05, 2020
Yi Ding, Guozheng Wu, Dajiang Chen, Ning Zhang, Linpeng Gong, Mingsheng Cao, Zhiguang Qin

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TSception: A Deep Learning Framework for Emotion Detection Using EEG

Apr 08, 2020
Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih-Shih Lee, Cuntai Guan

* Authors information updated only. Accepted to be published in: 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, July 19--24, 2020, part of 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020) 

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Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning

Jan 15, 2019
Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-wei H. Lehman, Andrew Ross, Aldo Faisal, Finale Doshi-Velez

* AMIA 2018 Annual Symposium 

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Evaluating Reinforcement Learning Algorithms in Observational Health Settings

May 31, 2018
Omer Gottesman, Fredrik Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-wei H. Lehman, Matthieu Komorowski, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David Sontag, Finale Doshi-Velez

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RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection

May 30, 2018
Tian Lan, Yuanyuan Li, Jonah Kimani Murugi, Yi Ding, Zhiguang Qin

* 15 pages, 5 figures, manuscript for Neurocomputing 

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Multiresolution Kernel Approximation for Gaussian Process Regression

Jan 30, 2018
Yi Ding, Risi Kondor, Jonathan Eskreis-Winkler

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Adaptive Subgradient Methods for Online AUC Maximization

Feb 01, 2016
Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong

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