b'Xin Guo'

research

∙ 01/27/2023

Feasibility and Transferability of Transfer Learning: A Mathematical Framework

Transfer learning is an emerging and popular paradigm for utilizing exis...

0 Haoyang Cao, et al. ∙

research

∙ 09/25/2022

Capacity dependent analysis for functional online learning algorithms

This article provides convergence analysis of online stochastic gradient...

5 Xin Guo, et al. ∙

research

∙ 06/20/2022

MF-OMO: An Optimization Formulation of Mean-Field Games

Theory of mean-field games (MFGs) has recently experienced an exponentia...

0 Xin Guo, et al. ∙

research

∙ 02/11/2022

Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system

Anomaly detection has been an active research area with a wide range of ...

5 Haoyang Cao, et al. ∙

research

∙ 01/04/2022

Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity

Retinal vascular diseases affect the well-being of human body and someti...

29 Guan Wang, et al. ∙

research

∙ 12/17/2021

SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers

We propose a novel zero-shot multi-frame image restoration method for re...

10 Lin Liu, et al. ∙

research

∙ 12/05/2021

Extracting and Measuring Uncertain Biomedical Knowledge from Scientific Statements

Purpose: This study aims to develop a novel approach to extracting and m...

0 Xin Guo, et al. ∙

research

∙ 12/01/2021

Convergence of GANs Training: A Game and Stochastic Control Methodology

Training of generative adversarial networks (GANs) is known for its diff...

14 Othmane Mounjid, et al. ∙

research

∙ 11/22/2021

A General Framework for Lifelong Localization and Mapping in Changing Environment

The environment of most real-world scenarios such as malls and supermark...

0 Min Zhao, et al. ∙

research

∙ 09/13/2021

Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods

When designing algorithms for finite-time-horizon episodic reinforcement...

5 Xin Guo, et al. ∙

research

∙ 08/20/2021

FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update

Federated learning aims to protect users' privacy while performing data ...

3 Junyu Luo, et al. ∙

research

∙ 08/05/2021

Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach

One of the challenges for multi-agent reinforcement learning (MARL) is d...

5 Haotian Gu, et al. ∙

research

∙ 06/07/2021

RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models

Pre-trained language models achieve outstanding performance in NLP tasks...

6 Xin Guo, et al. ∙

research

∙ 05/17/2021

An SDE Framework for Adversarial Training, with Convergence and Robustness Analysis

Adversarial training has gained great popularity as one of the most effe...

10 Haotian Gu, et al. ∙

research

∙ 04/29/2021

Discriminative-Generative Dual Memory Video Anomaly Detection

Recently, people tried to use a few anomalies for video anomaly detectio...

2 Xin Guo, et al. ∙

research

∙ 04/25/2021

Generative Adversarial Network: Some Analytical Perspectives

Ever since its debut, generative adversarial networks (GANs) have attrac...

12 Haoyang Cao, et al. ∙

research

∙ 04/19/2021

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

We study finite-time horizon continuous-time linear-convex reinforcement...

17 Xin Guo, et al. ∙

research

∙ 01/27/2021

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

Existing graph-network-based few-shot learning methods obtain similarity...

17 Peixiao Zheng, et al. ∙

research

∙ 09/30/2020

Entropy Regularization for Mean Field Games with Learning

Entropy regularization has been extensively adopted to improve the effic...

0 Xin Guo, et al. ∙

research

∙ 09/17/2020

DanceIt: Music-inspired Dancing Video Synthesis

Close your eyes and listen to music, one can easily imagine an actor dan...

0 Xin Guo, et al. ∙

research

∙ 09/16/2020

Kernel-based L_2-Boosting with Structure Constraints

Developing efficient kernel methods for regression is very popular in th...

0 Yao Wang, et al. ∙

research

∙ 06/16/2020

PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons

We study PAC-Bayesian generalization bounds for Multilayer Perceptrons (...

0 Xinjie Lan, et al. ∙

research

∙ 06/12/2020

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

Retinopathy of prematurity (ROP) is an abnormal blood vessel development...

0 Xin Guo, et al. ∙

research

∙ 06/03/2020

Approximation and convergence of GANs training: an SDE approach

Generative adversarial networks (GANs) have enjoyed tremendous empirical...

0 Haoyang Cao, et al. ∙

research

∙ 05/09/2020

Perturbed gradient descent with occupation time

This paper develops further the idea of perturbed gradient descent, by a...

0 Xin Guo, et al. ∙

research

∙ 03/13/2020

A General Framework for Learning Mean-Field Games

This paper presents a general mean-field game (GMFG) framework for simul...

0 Xin Guo, et al. ∙

research

∙ 02/20/2020

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

This paper presents an audiovisual-based emotion recognition hybrid netw...

0 Xin Guo, et al. ∙

research

∙ 02/10/2020

Q-Learning for Mean-Field Controls

Multi-agent reinforcement learning (MARL) has been applied to many chall...

0 Haotian Gu, et al. ∙

research

∙ 02/10/2020

Connecting GANs and MFGs

Generative Adversarial Networks (GANs), introduced in 2014 [12], have ce...

0 Haoyang Cao, et al. ∙

research

∙ 10/17/2019

Consistency of the Buckley-Osthus model and the hierarchical preferential attachment model

This paper is concerned with statistical estimation of two preferential ...

0 Xin Guo, et al. ∙

research

∙ 10/02/2019

Automatic Group Cohesiveness Detection With Multi-modal Features

Group cohesiveness is a compelling and often studied composition in grou...

0 Bin Zhu, et al. ∙

research

∙ 05/06/2019

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

Increasing demand for fashion recommendation raises a lot of challenges ...

0 Wen Chen, et al. ∙

research

∙ 10/22/2018

Sparsemax and Relaxed Wasserstein for Topic Sparsity

Topic sparsity refers to the observation that individual documents usual...

0 Tianyi Lin, et al. ∙

research

∙ 10/06/2018

Consistency and Computation of Regularized MLEs for Multivariate Hawkes Processes

This paper proves the consistency property for the regularized maximum l...

0 Xin Guo, et al. ∙

research

∙ 05/23/2017

Ambiguity set and learning via Bregman and Wasserstein

Construction of ambiguity set in robust optimization relies on the choic...

0 Xin Guo, et al. ∙

research

∙ 05/19/2017

Relaxed Wasserstein with Applications to GANs

We propose a novel class of statistical divergences called Relaxed Wasse...

0 Xin Guo, et al. ∙

research

∙ 08/11/2016

Distributed learning with regularized least squares

We study distributed learning with the least squares regularization sche...

0 Shao-Bo Lin, et al. ∙

research

∙ 05/28/2012

Towards a Mathematical Foundation of Immunology and Amino Acid Chains

We attempt to set a mathematical foundation of immunology and amino acid...

0 Wen-Jun Shen, et al. ∙

Xin Guo

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