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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

* Summary of the 2nd Learning from Imperfect Data Workshop in conjunction with CVPR 2020 

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Taking Modality-free Human Identification as Zero-shot Learning

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

* 12 pages, 8 figures 

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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


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CSER: Communication-efficient SGD with Error Reset

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


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Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes

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

* Technical Report 

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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

* 10 pages, 5 figures, 4 tables 

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Convolutional Prototype Learning for Zero-Shot Recognition

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

* 10 pages, 6 figures 

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Manufacturing Dispatching using Reinforcement and Transfer Learning

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

* ECML PKDD 2019 (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019) 

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Generative Adversarial Networks for Failure Prediction

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

* ECML PKDD 2019 (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019) 

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Edge Heuristic GAN for Non-uniform Blind Deblurring

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

* 5 pages, 3 figures 

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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


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Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback

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


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Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning

May 23, 2019
Shuai Zheng, James T. Kwok


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Remaining Useful Life Estimation Using Functional Data Analysis

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

* Accepted by IEEE International Conference on Prognostics and Health Management 2019 

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

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

* Accepted as a full paper for an oral presentation at ACM Multimedia 2018, Seoul, South Korea 

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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


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Conditional Image-Text Embedding Networks

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

* ECCV 2018 accepted paper 

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Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data

Jun 08, 2018
Shuai Zheng, James T. Kwok

* To appear in ICML 2018 

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Regularized Singular Value Decomposition and Application to Recommender System

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


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Minimal Support Vector Machine

Apr 06, 2018
Shuai Zheng, Chris Ding


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Fast End-to-End Trainable Guided Filter

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

* Accepted by CVPR 2018. Project Website: http://wuhuikai.me/DeepGuidedFilterProject 

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

Jan 02, 2018
Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip Torr

* Presented at EMMCVPR 2017 conference 

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GP-GAN: Towards Realistic High-Resolution Image Blending

Mar 25, 2017
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang

* See more information in the project website: https://wuhuikai.github.io/GP-GAN-Project/ 

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A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification

Oct 24, 2016
Shuai Zheng, Feiping Nie, Chris Ding, Heng Huang

* IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016 

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Stochastic Variance-Reduced ADMM

Oct 16, 2016
Shuai Zheng, James T. Kwok


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A Closed Form Solution to Multi-View Low-Rank Regression

Oct 14, 2016
Shuai Zheng, Xiao Cai, Chris Ding, Feiping Nie, Heng Huang

* Twenty-Ninth AAAI Conference on Artificial Intelligence, AAAI, 2015 

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Kernel Alignment Inspired Linear Discriminant Analysis

Oct 14, 2016
Shuai Zheng, Chris Ding

* Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, 2014 

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Accelerating Deep Learning with Shrinkage and Recall

Sep 19, 2016
Shuai Zheng, Abhinav Vishnu, Chris Ding

* The 22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS 2016) 

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Joint Training of Generic CNN-CRF Models with Stochastic Optimization

Sep 14, 2016
Alexander Kirillov, Dmitrij Schlesinger, Shuai Zheng, Bogdan Savchynskyy, Philip H. S. Torr, Carsten Rother

* ACCV2016 

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