Yi Zhou

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Duke University ∙ University of Florida ∙ University of Southern California ∙ Université d'Angers ∙ ibm ∙ Georgia Institute of Technology ∙ Syracuse University ∙ The Ohio State University

Assistant Researcher at Fudan University- School of Mathematical Sciences, Professor of School of Mathematical Sciences, Fudan University

Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization

Two types of zeroth-order stochastic algorithms have recently been desig...
10/27/2019 ∙ by Kaiyi Ji, et al. ∙ 36 ∙ share

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Faster Stochastic Algorithms via History-Gradient Aided Batch Size Adaptation

Various schemes for adapting batch size have been recently proposed to a...
10/21/2019 ∙ by Kaiyi Ji, et al. ∙ 22 ∙ share

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SGD Converges to Global Minimum in Deep Learning via Star-convex Path

Stochastic gradient descent (SGD) has been found to be surprisingly effe...
01/02/2019 ∙ by Yi Zhou, et al. ∙ 18 ∙ share

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DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images

Diabetic retinopathy (DR) is a complication of diabetes that severely af...
12/10/2019 ∙ by Yi Zhou, et al. ∙ 16 ∙ share

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Elastic Neural Networks for Classification

In this work we propose a framework for improving the performance of any...
10/01/2018 ∙ by Yi Zhou, et al. ∙ 14 ∙ share

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AED-Net: An Abnormal Event Detection Network

It is challenging to detect the anomaly in crowded scenes for quite a lo...
03/28/2019 ∙ by Tian Wang, et al. ∙ 14 ∙ share

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Iterative Normalization: Beyond Standardization towards Efficient Whitening

Batch Normalization (BN) is ubiquitously employed for accelerating neura...
04/06/2019 ∙ by Lei Huang, et al. ∙ 14 ∙ share

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On the Continuity of Rotation Representations in Neural Networks

In neural networks, it is often desirable to work with various represent...
12/17/2018 ∙ by Yi Zhou, et al. ∙ 10 ∙ share

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SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization

There has been extensive research on developing stochastic variance redu...
10/25/2018 ∙ by Zhe Wang, et al. ∙ 9 ∙ share

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Hybrid coarse-fine classification for head pose estimation

Head pose estimation, which computes the intrinsic Euler angles (yaw, pi...
01/21/2019 ∙ by Haofan Wang, et al. ∙ 8 ∙ share

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KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation

We propose KDSL, a new word sense disambiguation (WSD) framework that ut...
08/28/2018 ∙ by Shi Yin, et al. ∙ 6 ∙ share

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Semi-Dense 3D Reconstruction with a Stereo Event Camera

Event cameras are bio-inspired sensors that offer several advantages, su...
07/19/2018 ∙ by Yi Zhou, et al. ∙ 6 ∙ share

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Cubic Regularization with Momentum for Nonconvex Optimization

Momentum is a popular technique to accelerate the convergence in practic...
10/09/2018 ∙ by Zhe Wang, et al. ∙ 4 ∙ share

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Convergence of Cubic Regularization for Nonconvex Optimization under KL Property

Cubic-regularized Newton's method (CR) is a popular algorithm that guara...
08/22/2018 ∙ by Yi Zhou, et al. ∙ 2 ∙ share

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Toward Understanding the Impact of Staleness in Distributed Machine Learning

Many distributed machine learning (ML) systems adopt the non-synchronous...
10/08/2018 ∙ by Wei Dai, et al. ∙ 2 ∙ share

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Motion-Attentive Transition for Zero-Shot Video Object Segmentation

In this paper, we present a novel Motion-Attentive Transition Network (M...
03/09/2020 ∙ by Tianfei Zhou, et al. ∙ 2 ∙ share

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Critical Points of Neural Networks: Analytical Forms and Landscape Properties

Due to the success of deep learning to solving a variety of challenging ...
10/30/2017 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Characterization of Gradient Dominance and Regularity Conditions for Neural Networks

The past decade has witnessed a successful application of deep learning ...
10/18/2017 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Combining tabu search and graph reduction to solve the maximum balanced biclique problem

The Maximum Balanced Biclique Problem is a well-known graph model with r...
05/20/2017 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Structured Production System (extended abstract)

In this extended abstract, we propose Structured Production Systems (SPS...
04/26/2017 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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From First-Order Logic to Assertional Logic

First-Order Logic (FOL) is widely regarded as one of the most important ...
01/12/2017 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Conditional Accelerated Lazy Stochastic Gradient Descent

In this work we introduce a conditional accelerated lazy stochastic grad...
03/16/2017 ∙ by Guanghui Lan, et al. ∙ 0 ∙ share

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A Set Theoretic Approach for Knowledge Representation: the Representation Part

In this paper, we propose a set theoretic approach for knowledge represe...
03/11/2016 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Semi-Dense Visual Odometry for RGB-D Cameras Using Approximate Nearest Neighbour Fields

This paper presents a robust and efficient semi-dense visual odometry so...
02/06/2017 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Reshaped Wirtinger Flow and Incremental Algorithm for Solving Quadratic System of Equations

We study the phase retrieval problem, which solves quadratic system of e...
05/25/2016 ∙ by Huishuai Zhang, et al. ∙ 0 ∙ share

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A Logical Study of Partial Entailment

We introduce a novel logical notion--partial entailment--to propositiona...
01/16/2014 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Majority Rule for Belief Evolution in Social Networks

In this paper, we study how an agent's belief is affected by her neighbo...
09/03/2013 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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An optimal randomized incremental gradient method

In this paper, we consider a class of finite-sum convex optimization pro...
07/08/2015 ∙ by Guanghui Lan, et al. ∙ 0 ∙ share

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DAP3D-Net: Where, What and How Actions Occur in Videos?

Action parsing in videos with complex scenes is an interesting but chall...
02/10/2016 ∙ by Li Liu, et al. ∙ 0 ∙ share

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Generalization Error Bounds with Probabilistic Guarantee for SGD in Nonconvex Optimization

The success of deep learning has led to a rising interest in the general...
02/19/2018 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Sample Complexity of Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization

The popular cubic regularization (CR) method converges with first- and s...
02/20/2018 ∙ by Zhe Wang, et al. ∙ 0 ∙ share

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Random gradient extrapolation for distributed and stochastic optimization

In this paper, we consider a class of finite-sum convex optimization pro...
11/15/2017 ∙ by Guanghui Lan, et al. ∙ 0 ∙ share

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Convergence of SGD in Learning ReLU Models with Separable Data

We consider the binary classification problem in which the objective fun...
06/12/2018 ∙ by Tengyu Xu, et al. ∙ 0 ∙ share

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Single-View Hair Reconstruction using Convolutional Neural Networks

We introduce a deep learning-based method to generate full 3D hair geome...
06/19/2018 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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A Note on Inexact Condition for Cubic Regularized Newton's Method

This note considers the inexact cubic-regularized Newton's method (CR), ...
08/22/2018 ∙ by Zhe Wang, et al. ∙ 0 ∙ share

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Asynchronous decentralized accelerated stochastic gradient descent

In this work, we introduce an asynchronous decentralized accelerated sto...
09/24/2018 ∙ by Guanghui Lan, et al. ∙ 0 ∙ share

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MR-GAN: Manifold Regularized Generative Adversarial Networks

Despite the growing interest in generative adversarial networks (GANs), ...
11/22/2018 ∙ by Qunwei Li, et al. ∙ 0 ∙ share

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Momentum Schemes with Stochastic Variance Reduction for Nonconvex Composite Optimization

Two new stochastic variance-reduced algorithms named SARAH and SPIDER ha...
02/07/2019 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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The square root rule for adaptive importance sampling

In adaptive importance sampling, and other contexts, we have unbiased an...
01/10/2019 ∙ by Art B. Owen, et al. ∙ 0 ∙ share

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HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks

We introduce a deep learning-based method to generate full 3D hair geome...
06/19/2018 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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A unified variance-reduced accelerated gradient method for convex optimization

We propose a novel randomized incremental gradient algorithm, namely, VA...
05/29/2019 ∙ by Guanghui Lan, et al. ∙ 0 ∙ share

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Towards Federated Graph Learning for Collaborative Financial Crimes Detection

Financial crime is a large and growing problem, in some way touching alm...
09/19/2019 ∙ by Toyotaro Suzumura, et al. ∙ 0 ∙ share

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Distributed SGD Generalizes Well Under Asynchrony

The performance of fully synchronized distributed systems has faced a bo...
09/29/2019 ∙ by Jayanth Regatti, et al. ∙ 0 ∙ share

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Reanalysis of Variance Reduced Temporal Difference Learning

Temporal difference (TD) learning is a popular algorithm for policy eval...
01/07/2020 ∙ by Tengyu Xu, et al. ∙ 0 ∙ share

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Chinese Named Entity Recognition Augmented with Lexicon Memory

Inspired by a concept of content-addressable retrieval from cognitive sc...
12/17/2019 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning

Federated learning has emerged as a promising approach for collaborative...
12/12/2019 ∙ by Runhua Xu, et al. ∙ 0 ∙ share

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Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization

Various types of parameter restart schemes have been proposed for accele...
02/26/2020 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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GFTE: Graph-based Financial Table Extraction

Tabular data is a crucial form of information expression, which can orga...
03/17/2020 ∙ by Yiren Li, et al. ∙ 0 ∙ share

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TiFL: A Tier-based Federated Learning System

Federated Learning (FL) enables learning a shared model across many clie...
01/25/2020 ∙ by Zheng Chai, et al. ∙ 0 ∙ share

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An Investigation into the Stochasticity of Batch Whitening

Batch Normalization (BN) is extensively employed in various network arch...
03/27/2020 ∙ by Lei Huang, et al. ∙ 0 ∙ share

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Yi Zhou

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