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Xin Guo

Discriminative-Generative Dual Memory Video Anomaly Detection


Apr 29, 2021
Xin Guo, Zhongming Jin, Chong Chen, Helei Nie, Jianqiang Huang, Deng Cai, Xiaofei He, Xiansheng Hua

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Generative Adversarial Network: Some Analytical Perspectives


Apr 25, 2021
Haoyang Cao, Xin Guo

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Reinforcement learning for linear-convex models with jumps via stability analysis of feedback controls


Apr 19, 2021
Xin Guo, Anran Hu, Yufei Zhang


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Delay Analysis of Wireless Federated Learning Based on Saddle Point Approximation and Large Deviation Theory


Apr 01, 2021
Lintao Li, Longwei Yang, Xin Guo, Yuanming Shi, Haiming Wang, Wei Chen, Khaled B. Letaief

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Edge-Labeling based Directed Gated Graph Network for Few-shot Learning


Jan 27, 2021
Peixiao Zheng, Xin Guo, Lin Qi

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* 5 pages, 2 figures 
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Universal Silicon Microwave Photonic Spectral Shaper


Dec 29, 2020
Xin Guo, Yang Liu, Tangman Yin, Blair Morrison, Mattia Pagani, Okky Daulay, Wim Bogaerts, Benjamin J. Eggleton, Alvaro Casas-Bedoya, David Marpaung

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Entropy Regularization for Mean Field Games with Learning


Sep 30, 2020
Xin Guo, Renyuan Xu, Thaleia Zariphopoulou

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DanceIt: Music-inspired Dancing Video Synthesis


Sep 17, 2020
Xin Guo, Jia Li, Yifan Zhao

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* 14 pages, 18 figures 
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Kernel-based L_2-Boosting with Structure Constraints


Sep 16, 2020
Yao Wang, Xin Guo, Shao-Bo Lin

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* 33pages, 8figures 
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PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons


Jun 17, 2020
Xinjie Lan, Xin Guo, Kenneth E. Barner

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Approximation and convergence of GANs training: an SDE approach


Jun 15, 2020
Haoyang Cao, Xin Guo


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Early Detection of Retinopathy of Prematurity (ROP) in Retinal Fundus Images Via Convolutional Neural Networks


Jun 12, 2020
Xin Guo, Yusuke Kikuchi, Guan Wang, Jinglin Yi, Qiong Zou, Rui Zhou

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Perturbed gradient descent with occupation time


May 09, 2020
Xin Guo, Jiequn Han, Wenpin Tang

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* 14 pages, 3 figures, 1 table 
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A General Framework for Learning Mean-Field Games


Mar 13, 2020
Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang

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* 9 figures 
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Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks


Feb 20, 2020
Xin Guo, Luisa F. Polanía, Kenneth E. Barner

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Q-Learning for Mean-Field Controls


Feb 10, 2020
Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu

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Connecting GANs and MFGs


Feb 10, 2020
Haoyang Cao, Xin Guo, Mathieu Laurière

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Automatic Group Cohesiveness Detection With Multi-modal Features


Oct 02, 2019
Bin Zhu, Xin Guo, Kenneth Barner, Charles Boncelet

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Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases


Sep 19, 2019
Xin Guo, Luisa F. Polania, Bin Zhu, Charles Boncelet, Kenneth E. Barner

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* Paper accepted for publication at the 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) 
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Sparsemax and Relaxed Wasserstein for Topic Sparsity


Oct 22, 2018
Tianyi Lin, Zhiyue Hu, Xin Guo

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* 9 Pages. To appear in WSDM 2019 
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Relaxed Wasserstein with Applications to GANs


Sep 16, 2018
Xin Guo, Johnny Hong, Tianyi Lin, Nan Yang

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* 29 pages; Revise and Remove Some Typos 
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Smile detection in the wild based on transfer learning


Jan 17, 2018
Xin Guo, Luisa F. Polanía, Kenneth E. Barner

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Ambiguity set and learning via Bregman and Wasserstein


May 23, 2017
Xin Guo, Johnny Hong, Nan Yang

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Distributed learning with regularized least squares


Mar 11, 2017
Shao-Bo Lin, Xin Guo, Ding-Xuan Zhou

* 28 pages 
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Towards a Mathematical Foundation of Immunology and Amino Acid Chains


Jun 25, 2012
Wen-Jun Shen, Hau-San Wong, Quan-Wu Xiao, Xin Guo, Stephen Smale

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* updated on June 25, 2012 
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