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CaPC Learning: Confidential and Private Collaborative Learning


Feb 09, 2021
Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang

* Published as a conference paper at ICLR 2021 

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Interpreting and Unifying Graph Neural Networks with An Optimization Framework


Jan 28, 2021
Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui

* WWW2021, 12 pages 

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Beyond Low-frequency Information in Graph Convolutional Networks


Jan 04, 2021
Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen

* Accepted by AAAI 2021 

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A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources


Nov 30, 2020
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu

* Under review 

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AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries


Nov 23, 2020
Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi

* A better result with 200 epochs of network pretraining has been updated in the new submission 

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Cross-Lingual Document Retrieval with Smooth Learning


Nov 02, 2020
Jiapeng Liu, Xiao Zhang, Dan Goldwasser, Xiao Wang

* COLING 2020 

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Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev


Oct 11, 2020
Xiao Wang, Qi Lei, Ioannis Panageas


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Dynamic Fusion based Federated Learning for COVID-19 Detection


Sep 26, 2020
Weishan Zhang, Tao Zhou, Qinghua Lu, Xiao Wang, Chunsheng Zhu, Haoyun Sun, Zhipeng Wang, Sin Kit Lo, Fei-Yue Wang


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Heterogeneous Graph Neural Network for Recommendation


Sep 02, 2020
Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou

* 2020ICML Workshop 

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Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning


Aug 14, 2020
Teng Liu, Xingyu Mu, Bing Huang, Xiaolin Tang, Fuqing Zhao, Xiao Wang, Dongpu Cao

* 10 pages, 10 figures 

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Towards Class Imbalance in Federated Learning


Aug 14, 2020
Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu

* 17 pages, 5 figures 

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Falsification-Based Robust Adversarial Reinforcement Learning


Jul 17, 2020
Xiao Wang, Saasha Nair, Matthias Althoff

* 11 pages, 3 figures 

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AM-GCN: Adaptive Multi-channel Graph Convolutional Networks


Jul 11, 2020
Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei

* 11 pages, KDD2020 

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SaADB: A Self-attention Guided ADB Network for Person Re-identification


Jul 10, 2020
Bo Jiang, Sheng Wang, Xiao Wang, Aihua Zheng

* Under Review 

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Decorrelated Clustering with Data Selection Bias


Jul 02, 2020
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang

* Accepted by main track of IJCAI2020;SOLE copyright holder is IJCAI (international Joint Conferences on Artificial Intelligence), all rights reserved 

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Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently


Mar 19, 2020
Ioannis Panageas, Stratis Skoulakis, Antonios Varvitsiotis, Xiao Wang


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FMT:Fusing Multi-task Convolutional Neural Network for Person Search


Mar 01, 2020
Sulan Zhai, Shunqiang Liu, Xiao Wang, Jin Tang

* Published on Multimedia Tools and Applications 

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Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes


Feb 21, 2020
Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang


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AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks


Feb 19, 2020
Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin

* Accepted by 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) 

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Block Switching: A Stochastic Approach for Deep Learning Security


Feb 18, 2020
Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin

* Accepted by AdvML19: Workshop on Adversarial Learning Methods for Machine Learning and Data Mining at KDD, Anchorage, Alaska, USA, August 5th, 2019, 5 pages 

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Stochastic Approximate Gradient Descent via the Langevin Algorithm


Feb 13, 2020
Yixuan Qiu, Xiao Wang


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Structural Deep Clustering Network


Feb 12, 2020
Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui

* Published at The Web Conference (WWW) 2020, full paper 

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