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Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems


Nov 23, 2022
Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao, Yusen He, Yaohua Wang

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* 28 pages, 2 figures, presubmitted to AISTATS2023 for reviewing 

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Improving Continual Relation Extraction through Prototypical Contrastive Learning


Oct 10, 2022
Chengwei Hu, Deqing Yang, Haoliang Jin, Zhen Chen, Yanghua Xiao

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Neural Volumetric Mesh Generator


Oct 06, 2022
Yan Zheng, Lemeng Wu, Xingchao Liu, Zhen Chen, Qiang Liu, Qixing Huang

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Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems


Oct 03, 2022
Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao

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* 42 pages, 15 figures, 4 tables, 14 lemmas, theorems, or corollaries. arXiv admin note: text overlap with arXiv:2209.10058 

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Robust Modeling of Unknown Dynamical Systems via Ensemble Averaged Learning


Mar 07, 2022
Victor Churchill, Steve Manns, Zhen Chen, Dongbin Xiu

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Exploring Gradient Flow Based Saliency for DNN Model Compression


Oct 24, 2021
Xinyu Liu, Baopu Li, Zhen Chen, Yixuan Yuan

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* ACM Multimedia 2021 (ACM MM'21) 

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A Deep Learning Inference Scheme Based on Pipelined Matrix Multiplication Acceleration Design and Non-uniform Quantization


Oct 10, 2021
Yuyang Zhang, Dik Hin Leung, Min Guo, Yijia Xiao, Haoyue Liu, Yunfei Li, Jiyuan Zhang, Guan Wang, Zhen Chen

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Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning


Oct 01, 2021
Zhen Chen, Meilu Zhu, Chen Yang, Yixuan Yuan

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* MICCAI 2021 Oral. Code and dataset available at https://github.com/CityU-AIM-Group/PRR-FL 

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Deep Neural Network Modeling of Unknown Partial Differential Equations in Nodal Space


Jun 07, 2021
Zhen Chen, Victor Churchill, Kailiang Wu, Dongbin Xiu

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