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How Important is the Train-Validation Split in Meta-Learning?

Oct 12, 2020
Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham Kakade, Huan Wang, Caiming Xiong


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Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning

Oct 12, 2020
Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven HOI, Weinan E

* NeurIPS 2020 

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Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization

Sep 18, 2020
Pan Zhou, Xiaotong Yuan


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Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs

Sep 12, 2020
Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen


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Evasion Attacks to Graph Neural Networks via Influence Function

Sep 12, 2020
Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen


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Efficient Evasion Attacks to Graph Neural Networks via Influence Function

Sep 01, 2020
Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen


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Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization

Aug 13, 2020
Daizong Liu, Xiaoye Qu, Xiao-Yang Liu, Jianfeng Dong, Pan Zhou, Zichuan Xu

* Accepted by ACM MM 2020 

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Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds

Aug 12, 2020
Zichuan Xu, Jiangkai Wu, Qiufen Xia, Pan Zhou, Jiankang Ren, Huizhi Liang

* 9 pages, 8 figures, Proceedings of the 28th ACM International Conference on Multimedia (ACM MM'20), Seattle, WA, USA 

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Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos

Aug 06, 2020
Xiaoye Qu, Pengwei Tang, Zhikang Zhou, Yu Cheng, Jianfeng Dong, Pan Zhou

* ACM MM 2020 

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Improving GAN Training with Probability Ratio Clipping and Sample Reweighting

Jun 30, 2020
Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu

* Fixed typos. Code available at: https://github.com/Holmeswww/PPOGAN 

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Theory-Inspired Path-Regularized Differential Network Architecture Search

Jun 30, 2020
Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi


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Federated Mutual Learning

Jun 27, 2020
Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu


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Learning Decomposed Representation for Counterfactual Inference

Jun 12, 2020
Anpeng Wu, Kun Kuang, Junkun Yuan, Bo Li, Pan Zhou, Jianrong Tao, Qiang Zhu, Yueting Zhuang, Fei Wu


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Prototypical Contrastive Learning of Unsupervised Representations

Jun 05, 2020
Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi


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Data Augmentation Imbalance For Imbalanced Attribute Classification

May 21, 2020
Yang Hu, Xiaying Bai, Pan Zhou, Fanhua Shang, Shengmei Shen

* This paper needs further revision 

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Crowd Counting via Hierarchical Scale Recalibration Network

Mar 07, 2020
Zhikang Zou, Yifan Liu, Shuangjie Xu, Wei Wei, Shiping Wen, Pan Zhou

* Accepted by ECAI2020 

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Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels

Feb 28, 2020
Daizong Liu, Shuangjie Xu, Pan Zhou, Kun He, Wei Wei, Zichuan Xu

* Because of the novel coronavirus (2019-nCoV) in Wuhan, China, we can not get the codes in the locked lab. Some authors do not agree to submit. We will re-submit it once we get our codes 

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Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach

Feb 06, 2020
Zeyue Xue, Shuang Luo, Chao Wu, Pan Zhou, Kaigui Bian, Wei Du

* 7 pages, 7 figures 

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Prophet: Proactive Candidate-Selection for Federated Learning by Predicting the Qualities of Training and Reporting Phases

Feb 03, 2020
Huawei Huang, Kangying Lin, Song Guo, Pan Zhou, Zibin Zheng

* 11 pages, 11 figures 

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Improving Generalization of Transformer for Speech Recognition with Parallel Schedule Sampling and Relative Positional Embedding

Nov 01, 2019
Pan Zhou, Ruchao Fan, Wei Chen, Jia Jia

* submitted to ICASSP2020 

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Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee

Oct 14, 2019
Shuangjie Xu, Feng Xu, Yu Cheng, Pan Zhou


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Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs

Aug 26, 2019
Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou

* Accepted to Neurocomputing, code will be released soon 

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Enhancing Neural Sequence Labeling with Position-Aware Self-Attention

Aug 24, 2019
Wei Wei, Zanbo Wang, Xianling Mao, Guangyou Zhou, Pan Zhou, Sheng Jiang

* 11 pages, 6 figures 

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Enhanced 3D convolutional networks for crowd counting

Aug 12, 2019
Zhikang Zou, Huiliang Shao, Xiaoye Qu, Wei Wei, Pan Zhou

* Accepted to BMVC 2019 

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