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

Exploring the Hierarchy in Relation Labels for Scene Graph Generation

By assigning each relationship a single label, current approaches formul...
09/12/2020 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Small-floating Target Detection in Sea Clutter via Visual Feature Classifying in the Time-Doppler Spectra

It is challenging to detect small-floating object in the sea clutter for...
09/09/2020 ∙ by Yi Zhou, et al. ∙ 9 ∙ share

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A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability

People with diabetes are at risk of developing an eye disease called dia...
08/22/2020 ∙ by Yi Zhou, et al. ∙ 39 ∙ share

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Spatio-temporal Attention Model for Tactile Texture Recognition

Recently, tactile sensing has attracted great interest in robotics, espe...
08/10/2020 ∙ by Guanqun Cao, et al. ∙ 7 ∙ share

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Event-based Stereo Visual Odometry

Event-based cameras are bio-inspired vision sensors whose pixels work in...
07/30/2020 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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The Complexity of the Partition Coloring Problem

Given a simple undirected graph G=(V,E) and a partition of the vertex se...
07/28/2020 ∙ by Zhenyu Guo, et al. ∙ 0 ∙ share

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IBM Federated Learning: an Enterprise Framework White Paper V0.1

Federated Learning (FL) is an approach to conduct machine learning witho...
07/22/2020 ∙ by Heiko Ludwig, et al. ∙ 0 ∙ share

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Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle

Although SGD with random reshuffle has been widely-used in machine learn...
07/07/2020 ∙ by Shaocong Ma, et al. ∙ 0 ∙ share

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Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble

Despite neural networks have achieved prominent performance on many natu...
06/20/2020 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Improving the Convergence Rate of One-Point Zeroth-Order Optimization using Residual Feedback

Many existing zeroth-order optimization (ZO) algorithms adopt two-point ...
06/18/2020 ∙ by Yan Zhang, et al. ∙ 0 ∙ share

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Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels

Learning latent representations of registered meshes is useful for many ...
06/08/2020 ∙ by Yi Zhou, et al. ∙ 20 ∙ share

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Recognizing Chinese Judicial Named Entity using BiLSTM-CRF

Named entity recognition (NER) plays an essential role in natural langua...
05/31/2020 ∙ by Pin Tang, et al. ∙ 0 ∙ share

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Generative Tweening: Long-term Inbetweening of 3D Human Motions

The ability to generate complex and realistic human body animations at s...
05/18/2020 ∙ by Yi Zhou, et al. ∙ 3 ∙ share

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Momentum with Variance Reduction for Nonconvex Composition Optimization

Composition optimization is widely-applied in nonconvex machine learning...
05/15/2020 ∙ by Ziyi Chen, et al. ∙ 0 ∙ share

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Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans

Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causi...
04/22/2020 ∙ by Deng-Ping Fan, et al. ∙ 16 ∙ 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Yi Zhou

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