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
RM-819, 163 Xianlin Avenue
Nanjing, Jiangsu, China, 210023
syh AT nju.edu.cn 		     

News!

  • [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]

Research Interests

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

Experience

  • 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

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.

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