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A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers


Jul 22, 2021
Peng Zhao, Chen Li, Md Mamunur Rahaman, Hechen Yang, Tao Jiang, Marcin Grzegorzek


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A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Environmental Microorganism Images: from Convolutional Neural Networks to Visual Transformers


Jul 21, 2021
Hechen Yang, Chen Li, Jinghua Zhang, Peng Zhao, Ao Chen, Xin Zhao, Tao Jiang, Marcin Grzegorzek


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A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Converlutional Neural Networks to Visual Transformers


Jul 16, 2021
Peng Zhao, Chen Li, Md Mamunur Rahaman, Hechen Yang, Tao Jiang, Marcin Grzegorzek


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A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers


Jun 22, 2021
Hechen Yang, Chen Li, Peng Zhao, Ao Chen, Xin Zhao, Marcin Grzegorzek


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A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer


Jun 09, 2021
Ao Chen, Chen Li, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek


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Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits


Jun 07, 2021
Youming Tao, Yulian Wu, Peng Zhao, Di Wang


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Pinpointing the Memory Behaviors of DNN Training


Apr 01, 2021
Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng

* Submitted to ISPASS'21 poster 

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Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling


Mar 22, 2021
Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu

* Accepted by AAAI 2021 

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Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory


Mar 15, 2021
Mingyue Zhang Wu, Jinzhu Luo, Xing Fang, Maochao Xu, Peng Zhao

* 25 pages 

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Non-stationary Linear Bandits Revisited


Mar 09, 2021
Peng Zhao, Lijun Zhang

* 9 pages 

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Non-stationary Online Learning with Memory and Non-stochastic Control


Feb 07, 2021
Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou


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Latent Dirichlet Allocation Model Training with Differential Privacy


Oct 09, 2020
Fangyuan Zhao, Xuebin Ren, Shusen Yang, Qing Han, Peng Zhao, Xinyu Yang


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A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution


Aug 24, 2020
Hongying Liu, Zhubo Ruan, Chaowei Fang, Peng Zhao, Fanhua Shang, Yuanyuan Liu, Lijun Wang

* 10 pages, 5 figures, submitted to an international peer-review journal 

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Video Super Resolution Based on Deep Learning: A comprehensive survey


Jul 25, 2020
Hongying Liu, Zhubo Ruan, Peng Zhao, Fanhua Shang, Linlin Yang, Yuanyuan Liu


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Storage Fit Learning with Feature Evolvable Streams


Jul 22, 2020
Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou


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Dynamic Regret of Convex and Smooth Functions


Jul 07, 2020
Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou


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Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions


Jun 10, 2020
Peng Zhao, Lijun Zhang

* 8 pages 

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CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning


May 04, 2020
Yuanrui Dong, Peng Zhao, Hanqiao Yu, Cong Zhao, Shusen Yang

* Accepted by IJCAI 2020 

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Exploratory Machine Learning with Unknown Unknowns


Feb 05, 2020
Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou


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An Unbiased Risk Estimator for Learning with Augmented Classes


Oct 21, 2019
Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou


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Bandit Convex Optimization in Non-stationary Environments


Jul 29, 2019
Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou


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Implicit Regularization via Hadamard Product Over-Parametrization in High-Dimensional Linear Regression


Mar 22, 2019
Peng Zhao, Yun Yang, Qiao-Chu He


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Background subtraction on depth videos with convolutional neural networks


Jan 17, 2019
Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng


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Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge


Dec 16, 2018
Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng

* Published at ICANN 2018 

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Handling Concept Drift via Model Reuse


Sep 08, 2018
Peng Zhao, Le-Wen Cai, Zhi-Hua Zhou


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Distribution-Free One-Pass Learning


Jun 08, 2017
Peng Zhao, Zhi-Hua Zhou


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