Yi Zhou

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Duke University ∙ adobe ∙ University of Florida ∙ University of Southern California ∙ Université d'Angers ∙ ibm ∙ ETH Zurich ∙ 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

Featured Co-authors

Ling Shao
147 publications
Yue Wang
136 publications
Yan Zhang
127 publications
Eric P Xing
126 publications
Hao Li
123 publications
Yan Wang
121 publications
Chao Zhang
119 publications
Pin-Yu Chen
106 publications
Cho-Jui Hsieh
106 publications
Wanli Ouyang
100 publications
Zhe Wang
93 publications

using multiple losses for accurate facial age estimation

Age estimation is an essential challenge in computer vision. With the ad...
06/17/2021 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Improving Entity Linking through Semantic Reinforced Entity Embeddings

Entity embeddings, which represent different aspects of each entity with...
06/16/2021 ∙ by Feng Hou, et al. ∙ 0 ∙ share

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A likelihood based sensitivity analysis for publication bias on summary ROC in meta-analysis of diagnostic test accuracy

In meta-analysis of diagnostic test accuracy, summary receiver operating...
06/08/2021 ∙ by Yi Zhou, et al. ∙ 0 ∙ share

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Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation

Temporal-difference learning with gradient correction (TDC) is a two tim...
04/07/2021 ∙ by Yue Wang, et al. ∙ 0 ∙ share

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Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity

Greedy-GQ is a value-based reinforcement learning (RL) algorithm for opt...
03/30/2021 ∙ by Shaocong Ma, et al. ∙ 0 ∙ share

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Multi-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity

The finite-time convergence of off-policy TD learning has been comprehen...
03/24/2021 ∙ by Ziyi Chen, et al. ∙ 0 ∙ share

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FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data

Federated learning (FL) has been proposed to allow collaborative trainin...
03/05/2021 ∙ by Runhua Xu, et al. ∙ 10 ∙ share

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A Deep Emulator for Secondary Motion of 3D Characters

Fast and light-weight methods for animating 3D characters are desirable ...
03/01/2021 ∙ by Mianlun Zheng, et al. ∙ 25 ∙ share

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Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification

Chest X-rays are an important and accessible clinical imaging tool for t...
02/26/2021 ∙ by Yi Zhou, et al. ∙ 11 ∙ share

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Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry

The gradient descent-ascent (GDA) algorithm has been widely applied to s...
02/09/2021 ∙ by Ziyi Chen, et al. ∙ 11 ∙ share

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Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning

Data heterogeneity has been identified as one of the key features in fed...
02/01/2021 ∙ by Syed Zawad, et al. ∙ 9 ∙ share

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Enhancing Balanced Graph Edge Partition with Effective Local Search

Graph partition is a key component to achieve workload balance and reduc...
12/17/2020 ∙ by Zhenyu Guo, et al. ∙ 3 ∙ share

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Event-based Motion Segmentation with Spatio-Temporal Graph Cuts

Identifying independently moving objects is an essential task for dynami...
12/16/2020 ∙ by Yi Zhou, et al. ∙ 5 ∙ share

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Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment

The present paper reviews the classical problem of free-form curve regis...
12/15/2020 ∙ by Yi Zhou, et al. ∙ 7 ∙ share

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Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning

Federated Learning (FL) is an approach to collaboratively train a model ...
12/11/2020 ∙ by Yuya Jeremy Ong, et al. ∙ 9 ∙ share

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Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation

Acquiring sufficient ground-truth supervision to train deep visual model...
12/09/2020 ∙ by Xueyi Li, et al. ∙ 4 ∙ share

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Mitigating Bias in Federated Learning

As methods to create discrimination-aware models develop, they focus on ...
12/04/2020 ∙ by Annie Abay, et al. ∙ 7 ∙ share

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Multimodal Learning for Hateful Memes Detection

Memes are multimedia documents containing images and phrases that usuall...
11/25/2020 ∙ by Yi Zhou, et al. ∙ 12 ∙ share

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Contrastive Weight Regularization for Large Minibatch SGD

The minibatch stochastic gradient descent method (SGD) is widely applied...
11/17/2020 ∙ by Qiwei Yuan, et al. ∙ 21 ∙ share

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Generating universal language adversarial examples by understanding and enhancing the transferability across neural models

Deep neural network models are vulnerable to adversarial attacks. In man...
11/17/2020 ∙ by Liping Yuan, et al. ∙ 11 ∙ share

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Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study

Modern deep neural network (DNN) trainings utilize various training tech...
11/13/2020 ∙ by Cheng Chen, et al. ∙ 3 ∙ share

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Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis

Variance reduction techniques have been successfully applied to temporal...
10/26/2020 ∙ by Shaocong Ma, et al. ∙ 2 ∙ share

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Boosting One-Point Derivative-Free Online Optimization via Residual Feedback

Zeroth-order optimization (ZO) typically relies on two-point feedback to...
10/14/2020 ∙ by Yan Zhang, et al. ∙ 10 ∙ share

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Unsupervised Cross-lingual Image Captioning

Most recent image captioning works are conducted in English as the major...
10/03/2020 ∙ by Jiahui Gao, et al. ∙ 0 ∙ share

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Transfer Learning from Speech Synthesis to Voice Conversion with Non-Parallel Training Data

This paper presents a novel framework to build a voice conversion (VC) s...
09/30/2020 ∙ by Mingyang Zhang, et al. ∙ 0 ∙ share

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Normalization Techniques in Training DNNs: Methodology, Analysis and Application

Normalization techniques are essential for accelerating the training and...
09/27/2020 ∙ by Lei Huang, et al. ∙ 8 ∙ share

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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. ∙ 11 ∙ 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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