Yinghuan Shi

Ph.D. Associate Professor
State Key Laboratory for Novel Software Technology
Department of Computer Science and Technology
Reasoning and Learning Research Group
Nanjing University
Room 819, 163 Xianlin Avenue
Nanjing, Jiangsu, China, 210023
syh AT nju.edu.cn
     

Brief CV

I received my B.Sc. and Ph.D. degree in Computer Science of Nanjing University in June 2007 and Mar 2013, respectively. Currently, I am an Associate Professor of Department of Computer Science and Technology in Nanjing University. [Chinese Version]
  • Jul. 2017 - Present         Associate Professor, Computer Science Department, Nanjing University

  • Apr. 2013 - Jul. 2017      Assistant Researcher, Computer Science Department, Nanjing University

  • Jun. 2016 - Aug. 2016    Visiting Scholar, UNC-Chapel Hill, US (work with Prof. Dinggang Shen)

  • Jul. 2014 - Aug. 2014     Visiting Scholar, Advanced Analytics Institute, UTS, Australia (work with Prof. Longbing Cao)

  • Sep. 2007 - Mar. 2013    Ph.D. Candidate, Computer Science Department, Nanjing University (supervised by Prof. Yang Gao)

  • Sep. 2011 - Sep. 2012    Visiting Student, UNC-Chapel Hill, US (work with Prof. Dinggang Shen)

  • Nov. 2009 - Feb. 2010    Visiting Student, Massey University, New Zealand (work with Prof. Ruili Wang)

  • Sep. 2003 - Jul. 2007     B.Sc., Computer Science Department, Nanjing University

Research Interests

Medical Image Analysis, Image Processing, Computer Vision, Machine Learning

News!

  • [Aug.18, 2017] Call For Papers, CMIG Special Issue.
    Link: Special Issue on Machine Learning in Medical Imaging

  • [May.17, 2017] MICCAI Workshop: MLMI 2017, Quebec City, Canada.
    Link: MICCAI-MLMI 2017

  • [May.17, 2017] DSAA 2017 Special Session: Non-IID Learning, Tokyo, Japan.
    Link: Website

  • [Sep.20, 2016] Welcome to attend Machine Learning and Applications, Nanjing, China, Nov.4-6th.
    Link: MLA 2016

  • [Jun.28, 2016] MICCAI Workshop: MLMI 2016, Athens, Greece.
    Link: MICCAI-MLMI 2016

  • [Oct.22, 2015] Welcome to attend Machine Learning and Applications, Nanjing, China, Nov.7-8th.
    Link: MLA 2015

  • [Jul.04, 2015] Invited Talk, The Annual Medical Image Computing Seminar, Jinan, China, Jul.4-5th.
    Link: MICS 2015

  • [Apr.22, 2015] Call For Papers, MICCAI Workshop: MLMI 2015, Munich, Germany, Oct.5th.
    Link: MICCAI-MLMI 2015

  • [Jul.09, 2014] Visiting the Advanced Analytics Institute, University of Technology Sydney.
    From July. 2014 to Aug. 2014, hosted by Prof. Longbing Cao.

  • [Mar.02, 2014] One paper is accepted as oral by CVPR 2014 (acceptance ratio = 5.75%).
    Title: Joint Coupled-Feature Representation and Coupled Boosting for Alzheimer's Disease Diagnosis.

  • [Dec.10, 2013] "Recent Advances on Learning-Based Medical Image Segmentation"
    An invited talk at Nanjing-MSRA Symposium on Knowledge Mining and Retrieval, 2013. [link]

  • [Dec.01, 2013] "Recent Advances on Machine Learning Techniques in Biomedical Image Analysis"
    A tutorial at IEEE-BIBM 2013, organized with Dinggang, Daoqiang and Biao. [link]

Major Grants

  • National Science Foundation of China (61673203)
    "Learning Large-Scale Non-IIDness Data with Applications to Medical Image Analysis", 2017.1~2020.12 (PI)

  • National Science Foundation of China (61432008, Key Program)
    "Knowledge Representation, Reasoning, and Online Learning in Big Data", 2015.1~2019.12 (Co-PI)

  • National Science Foundation of China (61305068)
    "Multi-View Learning with Applications to Medical Image Analysis", 2014.1~2016.12 (PI)

  • Jiangsu Natural Science Foundation (BK20130581)
    "Medical Image Segmentation via Advanced Machine Learning Techniques", 2013.7~2015.6 (PI)

  • National Science Foundation of China (61035003, Key Program)
    "Massive Data Mining in Could Computing", 2011.1~2014.12 (Participant)

  • Baidu, Inc.
    "Research on Large Scale Multi-Modal Information Fusion", 2013.3~2013.12 (Co-PI with Prof. Yang Gao)

Courses

  • Discrete Mathematics (For undergraduate students, Computer Science, Nanjing University, Fall 2017)

  • Discrete Mathematics (For undergraduate students, Computer Science, Nanjing University, Fall 2016)

  • Discrete Mathematics (For undergraduate students, Computer Science, Nanjing University, Fall 2015)

  • Introduction to Video Surveillance (For M.Sc students, Computer Science, Nanjing University, Spring 2015)

  • Discrete Mathematics (For undergraduate students, Computer Science, Nanjing University, Fall 2014)

  • Introduction to Video Surveillance (For M.Sc students, Computer Science, Nanjing University, Spring 2014)

  • Discrete Mathematics (For undergraduate students, Computer Science, Nanjing University, Spring 2014)
    Teaching Assistant, work with Prof. Xiaoxing Ma

  • Introduction to Multi-Media (For undergraduate students, Software Institute, Nanjing University, Fall 2013)

  • Introduction to Video Surveillance (For M.Sc students, Computer Science, Nanjing University, Fall 2013)

Activities

  • Workshop Organizer: MICCAI/MLMI-17, MLA-16, MICCAI/MLMI-16, MLA-15, MICCAI/MLMI-15

  • Program Committee: IJCAI, AAAI, MICCAI/MLMI, IDEAL, ICPR

  • Reviewer: IJCAI, AAAI, MICCAI, NIPS, IEEE JBHI, Elsevier CMPB, IEEE TMI, IEEE TIP, PR, ICPR, SDM, Plos ONE

Publications

  • Machine Learning in Medical Imaging (Lecture Notes in Computer Science)
    Qian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki (Eds.)
    Proceeding of MICCAI-MLMI 2017, Springer, LNCS 10541, 2017.

  • Multi-Scale Faster-RCNN Algorithm for Small Object Detection
    Jipeng Huang, Yinghuan Shi, Yang Gao
    CCF BigData, 2017 (Best Application Paper Award)

  • Cost-Sensitive Alternating Direction Method of Multipliers for Large-Scale Classification
    Huihui Wang, Yinghuan Shi, Xingguo Chen, Yang Gao
    IDEAL, 2017

  • WebCaricature: A Benchmark for Caricature Face Recognition
    Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin
    arXiv:1703.03230v2, 2017

  • A Point Says A Lot: An Interactive Segmentation Method for MR Prostate Using One-Point Labeling
    Jinquan Sun, Yinghuan Shi, Yang Gao, Dinggang Shen
    MICCAI-MLMI, 2017

  • Variation Robust Cross-Modal Metric Learning for Caricature Recognition
    Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin
    ACM Multimedia, Thematic Workshops, 2017

  • Cross-Modal Metric Learning for AUC Optimization
    Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin
    IEEE Trans. on Neural Networks and Learning Systems (TNNLS), 2017, vol.xx(x), p.x-x (accepted)

  • Heterogeneous Face Recognition by Margin Based Cross-Modality Metric Learning
    Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin
    IEEE Trans. on Cybernetics (TCYB), 2017, vol.xx(x), p.x-x (in press)

  • Does Manual Delineation Only Provide the Side Information in CT Prostate Segmentation?
    Yinghuan Shi, Wanqi Yang, Yang Gao, Dinggang Shen
    MICCAI, 2017

  • OPML: A One-Pass Closed-Form Solution for Online Metric Learning
    Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi
    Pattern Recognition, 2017, vol.xx(x), p.x-x (accepted)

  • Revisiting Distance Metric Learning for SPD Matrix based Visual Representation
    Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao
    CVPR, 2017

  • Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks
    Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen
    AAAI, 2017

  • A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data
    Huihui Wang, Yang Gao, Yinghuan Shi, Hao Wang
    IEEE ICDM, 2016

  • Machine Learning in Medical Imaging (Lecture Notes in Computer Science)
    Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk (Eds.)
    Proceeding of MICCAI-MLMI 2016, Springer, LNCS 10019, 2016.

  • Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition
    Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin
    ACM Multimedia, 2016 (oral)

  • Group-based Alternating Direction Method of Multipliers for Distributed Linear Classification
    Huihui Wang, Yang Gao, Yinghuan Shi, Ruili Wang
    IEEE Trans. on Cybernetics (TCYB), 2016, vol.xx(x), p.x-x (in press)

  • Grouping Parallel Bayesian Network Structure Learning Algorithm Based on Variable Ordering
    Xiaolong Qi, Yinghuan Shi, Hao Wang, Yang Gao
    IDEAL, 2016

  • Multi-View Subspace Clustering via A Global Low-Rank Affinity Matrix
    Lei Qi, Yinghuan Shi, Wanqi Yang, Yang Gao
    IDEAL, 2016

  • A Prototype Learning-Based Multi-Instance Convolutional Neural Network
    Kelei He, Yinghuan Shi, Yang Gao, Jing Huo, Dong Wang, Ying Zhang
    CJC, 2016

  • APK-RJ-MCMC: A Sliding Window Prior Knowledge-Based Algorithm for Change-Point
    Detection in Non-Homogeneous Dynamic Bayesian Networks
    Lu Yu, Yang Gao, Yinghuan Shi
    CCDM, 2016

  • A Novel Multi-Instance Deep Convolutional Neural Network via Prototype Learning
    Kelei He, Yinghuan Shi, Yang Gao, Jing Huo, Dong Wang, Ying Zhang
    CCF BigData, 2015

  • Machine Learning in Medical Imaging (Lecture Notes in Computer Science)
    Luping Zhou, Qian Wang, Li Wang, Yinghuan Shi (Eds.)
    Proceeding of MICCAI-MLMI 2015, Springer, LNCS 9352, 2015.

  • Image-Guided Radiotherapy with Machine Learning
    Yaozong Gao, Yanrong Guo, Yinghuan Shi, Shu Liao, Jun Lian, Dinggang Shen
    Machine Learning in Radiation Oncology, 2015, p.157-192 (Book Chapter)

  • Interactive Image Segmentation via Cascaded Metric Learning
    Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao
    IEEE ICIP, 2015

  • Semi-Automatic Segmentation of Prostate in CT Images via Spatial-Constrained Transductive Lasso
    Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2015, vol.37(11), p.2286-2303

  • MRM-Lasso: A Sparse Multi-View Feature Selection Method via Low-Rank Analysis
    Wanqi Yang, Yang Gao, Yinghuan Shi, Longbing Cao
    IEEE Trans. on Neural Networks and Learning Systems (TNNLS), 2015, vol.26(11), p.2801-2815

  • A Learning-Based Prostate Segmentation Method via Joint Transductive Feature Selection and Regression
    Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen
    Neurocomputing, 2015, vol.173, p.317-331

  • Knowledge Propagation and Reasoning Induced by Bridge Rule Chains in D3L
    Xiaofei Zhao, Dongping Tian, Yinghuan Shi, Zhongzhi Shi
    CJC, 2014, vol.37(12), p.2419-2426

  • Interactive Prostate Segmentation with Adaptive Feature Selection and Manifold Regularization
    Sanghyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen
    Medical Physics, 2014, vol.41(11), p.111715-1-10

  • mPadal: A Joint Local-and-Global Multi-View Feature Selection Method for Activity Recognition
    Wanqi Yang, Yang Gao, Longbing Cao, Ming Yang, Yinghuan Shi
    Applied Intelligence, 2014, vol.41(3), p.776-790

  • Interactive Prostate Segmentation based on Adaptive Feature Selection and Manifold Regularization
    Sanghyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen
    MICCAI-MLMI, 2014

  • A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model
    Yusheng Jia, Yang Gao, Wanqi Yang, Jing Huo, Yinghuan Shi
    IDEAL, 2014

  • Joint Coupled-Feature Representation and Coupled Boosting for Alzheimer's Disease Diagnosis
    Yinghuan Shi, Heung-Il Suk, Yang Gao, Dinggang Shen
    CVPR, 2014 (accepted as oral, ratio = 5.75%)

  • Semi-Automatic Segmentation of Prostate in CT Images via Spatial-Constrained Transductive Lasso
    Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen
    Technical Report

  • A Learning-Based Prostate Segmentation Method via Joint Transductive Feature Selection and Regression
    Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen
    Technical Report

  • Multi-Modal Sparse Representation-Based Classification for Lung Needle Biopsy Images
    Yinghuan Shi, Yang Gao, Yubin Yang, Dong Wang, Ying Zhang
    IEEE Trans. on Biomedical Engineering (TBME), 2013, vol.60(10), p.2675-2684

  • Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso
    Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen
    CVPR, 2013

  • Voting-XCSc: A Consensus Clustering Method via Learning Classifier System
    Liqiang Qian, Yinghuan Shi, Yang Gao, Hujun Yin
    IDEAL, 2013

  • Image Super Resolution via Visual Prior Based Digital Image Characteristics
    Yusheng Jia, Wanqi Yang, Yang Gao, Yinghuan Shi, Hujun Yin
    IDEAL, 2013

  • Transductive Cost-Sensitive Lung Cancer Image Classification
    Yinghuan Shi, Yang Gao, Ruili Wang, Dong Wang, Ying Zhang
    Applied Intelligence, 2013, vol.38(1), p.16-28

  • Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization
    Shu Liao, Yaozong Gao, Yinghuan Shi, Ambereen Yousuf, Ibrahim Karademir, Aytekin Oto, Dinggang Shen
    IPMI, 2013

  • Transductive Prostate Segmentation for CT Image Guided Radiotherapy
    Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen
    MICCAI-MLMI, 2012

  • XCSc: A Novel Approach to Clustering with Extended Classifier System
    Liangdong Shi, Yinghuan Shi, Yang Gao, Lin Shang, Yubin Yang
    Neural Systems, 2011, vol.21(1), p.79-93

  • P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms based on MapReduce Model
    Yan Jin, Yang Gao, Yinghuan Shi, Lin Shang, Ruili Wang, Yubin Yang
    IDEAL, 2011

  • Real-Time Abnormal Event Detection in Complicated Scenes
    Yinghuan Shi, Yang Gao, Ruili Wang
    ICPR, 2010

  • Clustering with XCS and Agglomerative Rule Merging
    Liangdong Shi, Yinghuan Shi, Yang Gao
    IDEAL, 2009

  • Apply Ant Colony Optimization to Tetris
    Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi, Yang Gao
    ACM GECCO, 2009