Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Shuai Zheng

Shuai Zheng

ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation


Sep 24, 2021
Johnathan Xie, Shuai Zheng

Figure 1 for ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation
Figure 2 for ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation
Figure 3 for ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation
Figure 4 for ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation

  Access Paper or Ask Questions

CETransformer: Casual Effect Estimation via Transformer Based Representation Learning


Jul 19, 2021
Zhenyu Guo, Shuai Zheng, Zhizhe Liu, Kun Yan, Zhenfeng Zhu

Figure 1 for CETransformer: Casual Effect Estimation via Transformer Based Representation Learning
Figure 2 for CETransformer: Casual Effect Estimation via Transformer Based Representation Learning
Figure 3 for CETransformer: Casual Effect Estimation via Transformer Based Representation Learning
Figure 4 for CETransformer: Casual Effect Estimation via Transformer Based Representation Learning

  Access Paper or Ask Questions

Multi-modal Graph Learning for Disease Prediction


Jul 01, 2021
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Zhenyu Guo, Yang Liu, Yao Zhao

Figure 1 for Multi-modal Graph Learning for Disease Prediction
Figure 2 for Multi-modal Graph Learning for Disease Prediction
Figure 3 for Multi-modal Graph Learning for Disease Prediction
Figure 4 for Multi-modal Graph Learning for Disease Prediction
* 10 pages, 4 figures, 2 tables 
  Access Paper or Ask Questions

Compressed Communication for Distributed Training: Adaptive Methods and System


May 17, 2021
Yuchen Zhong, Cong Xie, Shuai Zheng, Haibin Lin

Figure 1 for Compressed Communication for Distributed Training: Adaptive Methods and System
Figure 2 for Compressed Communication for Distributed Training: Adaptive Methods and System
Figure 3 for Compressed Communication for Distributed Training: Adaptive Methods and System
Figure 4 for Compressed Communication for Distributed Training: Adaptive Methods and System

  Access Paper or Ask Questions

Deep Time Series Models for Scarce Data


Mar 16, 2021
Qiyao Wang, Ahmed Farahat, Chetan Gupta, Shuai Zheng

Figure 1 for Deep Time Series Models for Scarce Data
Figure 2 for Deep Time Series Models for Scarce Data
Figure 3 for Deep Time Series Models for Scarce Data
Figure 4 for Deep Time Series Models for Scarce Data
* Journal paper to appear in Neurocomputing 
  Access Paper or Ask Questions

Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation


Mar 15, 2021
Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yang Liu, Jiayu Zhou, Yao Zhao

Figure 1 for Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation
Figure 2 for Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation
Figure 3 for Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation
Figure 4 for Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation
* 12 pages, 10 figures, submitted to JBHI 
  Access Paper or Ask Questions

Adversarial Graph Disentanglement


Mar 12, 2021
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Shuiwang Ji, Yao Zhao

Figure 1 for Adversarial Graph Disentanglement
Figure 2 for Adversarial Graph Disentanglement
Figure 3 for Adversarial Graph Disentanglement
Figure 4 for Adversarial Graph Disentanglement
* In process 
  Access Paper or Ask Questions

LID 2020: The Learning from Imperfect Data Challenge Results


Oct 17, 2020
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

Figure 1 for LID 2020: The Learning from Imperfect Data Challenge Results
Figure 2 for LID 2020: The Learning from Imperfect Data Challenge Results
Figure 3 for LID 2020: The Learning from Imperfect Data Challenge Results
Figure 4 for LID 2020: The Learning from Imperfect Data Challenge Results
* Summary of the 2nd Learning from Imperfect Data Workshop in conjunction with CVPR 2020 
  Access Paper or Ask Questions

Taking Modality-free Human Identification as Zero-shot Learning


Oct 02, 2020
Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng

Figure 1 for Taking Modality-free Human Identification as Zero-shot Learning
Figure 2 for Taking Modality-free Human Identification as Zero-shot Learning
Figure 3 for Taking Modality-free Human Identification as Zero-shot Learning
Figure 4 for Taking Modality-free Human Identification as Zero-shot Learning
* 12 pages, 8 figures 
  Access Paper or Ask Questions

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning


Aug 24, 2020
Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta

Figure 1 for Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning
Figure 2 for Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning
Figure 3 for Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning
Figure 4 for Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning

  Access Paper or Ask Questions

CSER: Communication-efficient SGD with Error Reset


Jul 29, 2020
Cong Xie, Shuai Zheng, Oluwasanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin

Figure 1 for CSER: Communication-efficient SGD with Error Reset
Figure 2 for CSER: Communication-efficient SGD with Error Reset
Figure 3 for CSER: Communication-efficient SGD with Error Reset
Figure 4 for CSER: Communication-efficient SGD with Error Reset

  Access Paper or Ask Questions

Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes


Jun 24, 2020
Shuai Zheng, Haibin Lin, Sheng Zha, Mu Li

Figure 1 for Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes
Figure 2 for Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes
Figure 3 for Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes
* Technical Report 
  Access Paper or Ask Questions

Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning


Dec 04, 2019
Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao

Figure 1 for Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Figure 2 for Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Figure 3 for Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Figure 4 for Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
* 10 pages, 5 figures, 4 tables 
  Access Paper or Ask Questions

Convolutional Prototype Learning for Zero-Shot Recognition


Oct 24, 2019
Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng

Figure 1 for Convolutional Prototype Learning for Zero-Shot Recognition
Figure 2 for Convolutional Prototype Learning for Zero-Shot Recognition
Figure 3 for Convolutional Prototype Learning for Zero-Shot Recognition
Figure 4 for Convolutional Prototype Learning for Zero-Shot Recognition
* 10 pages, 6 figures 
  Access Paper or Ask Questions

Manufacturing Dispatching using Reinforcement and Transfer Learning


Oct 04, 2019
Shuai Zheng, Chetan Gupta, Susumu Serita

Figure 1 for Manufacturing Dispatching using Reinforcement and Transfer Learning
Figure 2 for Manufacturing Dispatching using Reinforcement and Transfer Learning
Figure 3 for Manufacturing Dispatching using Reinforcement and Transfer Learning
Figure 4 for Manufacturing Dispatching using Reinforcement and Transfer Learning
* ECML PKDD 2019 (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019) 
  Access Paper or Ask Questions

Generative Adversarial Networks for Failure Prediction


Oct 04, 2019
Shuai Zheng, Ahmed Farahat, Chetan Gupta

Figure 1 for Generative Adversarial Networks for Failure Prediction
Figure 2 for Generative Adversarial Networks for Failure Prediction
Figure 3 for Generative Adversarial Networks for Failure Prediction
Figure 4 for Generative Adversarial Networks for Failure Prediction
* ECML PKDD 2019 (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019) 
  Access Paper or Ask Questions

Edge Heuristic GAN for Non-uniform Blind Deblurring


Jul 11, 2019
Shuai Zheng, Zhenfeng Zhu, Jian Cheng, Yandong Guo, Yao Zhao

Figure 1 for Edge Heuristic GAN for Non-uniform Blind Deblurring
Figure 2 for Edge Heuristic GAN for Non-uniform Blind Deblurring
Figure 3 for Edge Heuristic GAN for Non-uniform Blind Deblurring
Figure 4 for Edge Heuristic GAN for Non-uniform Blind Deblurring
* 5 pages, 3 figures 
  Access Paper or Ask Questions

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing


Jul 09, 2019
Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng

Figure 1 for GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

  Access Paper or Ask Questions

Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback


May 27, 2019
Shuai Zheng, Ziyue Huang, James T. Kwok

Figure 1 for Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
Figure 2 for Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
Figure 3 for Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
Figure 4 for Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback

  Access Paper or Ask Questions

Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning


May 23, 2019
Shuai Zheng, James T. Kwok

Figure 1 for Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning
Figure 2 for Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning
Figure 3 for Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning
Figure 4 for Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning

  Access Paper or Ask Questions

Remaining Useful Life Estimation Using Functional Data Analysis


Apr 12, 2019
Qiyao Wang, Shuai Zheng, Ahmed Farahat, Susumu Serita, Chetan Gupta

Figure 1 for Remaining Useful Life Estimation Using Functional Data Analysis
Figure 2 for Remaining Useful Life Estimation Using Functional Data Analysis
Figure 3 for Remaining Useful Life Estimation Using Functional Data Analysis
Figure 4 for Remaining Useful Life Estimation Using Functional Data Analysis
* Accepted by IEEE International Conference on Prognostics and Health Management 2019 
  Access Paper or Ask Questions

ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations


Oct 23, 2018
Shuai Zheng, Fan Yang, M. Hadi Kiapour, Robinson Piramuthu

Figure 1 for ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations
Figure 2 for ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations
Figure 3 for ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations
Figure 4 for ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations
* Accepted as a full paper for an oral presentation at ACM Multimedia 2018, Seoul, South Korea 
  Access Paper or Ask Questions

Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback


Sep 24, 2018
Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu

Figure 1 for Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback
Figure 2 for Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback
Figure 3 for Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback
Figure 4 for Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback

  Access Paper or Ask Questions

Conditional Image-Text Embedding Networks


Jul 28, 2018
Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik

Figure 1 for Conditional Image-Text Embedding Networks
Figure 2 for Conditional Image-Text Embedding Networks
Figure 3 for Conditional Image-Text Embedding Networks
Figure 4 for Conditional Image-Text Embedding Networks
* ECCV 2018 accepted paper 
  Access Paper or Ask Questions

Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data


Jun 08, 2018
Shuai Zheng, James T. Kwok

Figure 1 for Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
Figure 2 for Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
Figure 3 for Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
Figure 4 for Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
* To appear in ICML 2018 
  Access Paper or Ask Questions

Regularized Singular Value Decomposition and Application to Recommender System


Apr 13, 2018
Shuai Zheng, Chris Ding, Feiping Nie

Figure 1 for Regularized Singular Value Decomposition and Application to Recommender System
Figure 2 for Regularized Singular Value Decomposition and Application to Recommender System
Figure 3 for Regularized Singular Value Decomposition and Application to Recommender System
Figure 4 for Regularized Singular Value Decomposition and Application to Recommender System

  Access Paper or Ask Questions

Minimal Support Vector Machine


Apr 06, 2018
Shuai Zheng, Chris Ding

Figure 1 for Minimal Support Vector Machine
Figure 2 for Minimal Support Vector Machine
Figure 3 for Minimal Support Vector Machine
Figure 4 for Minimal Support Vector Machine

  Access Paper or Ask Questions

Fast End-to-End Trainable Guided Filter


Mar 15, 2018
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang

Figure 1 for Fast End-to-End Trainable Guided Filter
Figure 2 for Fast End-to-End Trainable Guided Filter
Figure 3 for Fast End-to-End Trainable Guided Filter
Figure 4 for Fast End-to-End Trainable Guided Filter
* Accepted by CVPR 2018. Project Website: http://wuhuikai.me/DeepGuidedFilterProject 
  Access Paper or Ask Questions

A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials


Jan 02, 2018
MÃ¥ns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip Torr

Figure 1 for A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials
Figure 2 for A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials
Figure 3 for A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials
Figure 4 for A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials
* Presented at EMMCVPR 2017 conference 
  Access Paper or Ask Questions