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Deep Time Series Models for Scarce Data


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

* Journal paper to appear in Neurocomputing 

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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

* 12 pages, 10 figures, submitted to JBHI 

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Adversarial Graph Disentanglement


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

* In process 

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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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