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Zhi Li
Learning the Implicit Semantic Representation on Graph-Structured Data

Jan 16, 2021
Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen

* 16 pages, DASFAA 2021 
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Dynamic radiomics: a new methodology to extract quantitative time-related features from tomographic images

Nov 01, 2020
Fengying Che, Ruichuan Shi, Zhi Li, Jian Wu, Shuqin Li, Weixing Chen, Hao Zhang, Xiaoyu Cui


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Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy

Oct 01, 2020
Suiyi Ling, Jing Li, Anne Flore Perrin, Zhi Li, Lukáš Krasula, Patrick Le Callet

* 8 pages, 11 figures 
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Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network

Sep 25, 2020
Gan Zhou, Zhi Li, Meng Fu, Yanjun Feng, Xingyao Wang, Chengwei Huang

* 10 pages, 10 figures 
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Perceptually Optimizing Deep Image Compression

Jul 09, 2020
Li-Heng Chen, Christos G. Bampis, Zhi Li, Andrey Norkin, Alan C. Bovik

* 7 pages, 6 figures. arXiv admin note: substantial text overlap with arXiv:1910.08845 
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Learning the Compositional Visual Coherence for Complementary Recommendations

Jun 08, 2020
Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei

* Early version accepted by IJCAI2020 
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GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling

Mar 01, 2020
Jing Li, Suiyi Ling, Junle Wang, Zhi Li, Patrick Le Callet


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Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model

Dec 14, 2019
Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen


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ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression

Oct 19, 2019
Li-Heng Chen, Christos G. Bampis, Zhi Li, Andrey Norkin, Alan C. Bovik

* 12 pages, 12 figures, 5 tables 
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Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Jun 27, 2018
Nicolas Papernot, Fartash Faghri, Nicholas Carlini, Ian Goodfellow, Reuben Feinman, Alexey Kurakin, Cihang Xie, Yash Sharma, Tom Brown, Aurko Roy, Alexander Matyasko, Vahid Behzadan, Karen Hambardzumyan, Zhishuai Zhang, Yi-Lin Juang, Zhi Li, Ryan Sheatsley, Abhibhav Garg, Jonathan Uesato, Willi Gierke, Yinpeng Dong, David Berthelot, Paul Hendricks, Jonas Rauber, Rujun Long, Patrick McDaniel

* Technical report for https://github.com/tensorflow/cleverhans 
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A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates

Apr 25, 2017
Zhi Li, Wei Shi, Ming Yan


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Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification

Nov 11, 2016
Qingshan Liu, Renlong Hang, Huihui Song, Zhi Li


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