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Faculty

Wanqi Yang Associate Professor

Academic Area: 
Artificial Intelligence
Research Interests: 
  • Machine Learning
  • Deep Learning
  • Pattern Recognition
Bio: 

Bio:

Hi, I am Wanqi. I received my Ph.D. degree in Computer Science at Nanjing University in 2015. Currently, I am an Associate Professor in the School of Computer and Electronic Information at Nanjing Normal University. In July and August 2014, I visited the Data Science Lab of the University of Technology, Sydney (UTS), supervised by Prof. Longbing Cao. In June 2016, I visited the IDEA Lab of the University of North Carolina at Chapel Hill (UNC) for three months.

 

Currently, I am broadly interested in machine learning, deep learning and pattern recognition. In particular, the goal of our work is to develop the machine learning-based algorithms for multimodal data analysis problems, e.g., multimodal educational data analysis. The difficulties in multimodal data analysis, e.g., heterogeneous data fusion, correlation and complementarity analysis, data missing or modality unpairedness, limited amount and insufficient labeling, bring in the considerable challenges. We wish to develop the effective and efficient methods about incomplete multi-view learning, multi-modal learning, cross-modal transfer and meta learning to tackle these challenges.

 

Educational Background:

 

Visiting Scholar, University of North Carolina at Chapel Hill, US (Jun 2016 - Aug 2016)

 

Visiting Scholar, Advanced Analytics Institute, UTS, Australia (July 2014 - Aug 2014)

 

Ph.D., Department of Computer Science, Nanjing University (Sep 2010 - Dec 2015)

 

B.Sc., School of Computer Science and Software, Tianjin Polytechnic University (Sep 2006 - Jul 2010)

 

 

 

Research

 

 

Research Projects:

 

 General Program, National Natural Science Foundation of China (NSFC)

Multi-modal meta learning with its application for heterogeneous multi-modal data (62076135)

Time Period: Jan. 2021 - Dec. 2024, Principle Investigator.

 

 General Program, Natural Science Foundation of Jiangsu Province

Incomplete Multi-View Data Representation and Learning for Various Cases of Information Missing (BK20171479)

Time Period: Jun. 2017 - Jun. 2020, Principle Investigator.

 

 Young Program, National Natural Science Foundation of China (NSFC)

Incomplete Information-Oriented Multi-View Data Representation, Recovery and Learning (61603193)

Time Period: Jan. 2017 - Dec 2019, Principle Investigator.

 

 Open Project Program, State Key Laboratory for Novel Software Technology (KFKT2016B16)

Time Period: Jun. 2016 – May. 2018, Principle Investigator.

 

 General Program, National Natural Science Foundation of China (NSFC)

Multi-Modal Learning Under Multi-Correlated Constraints and Its Application Prospect in Brain Images Analysis (61876087)

Time Period: Jan. 2019 - Dec. 2022, Participant.

 

 

 

Journal and Conference Articles:

 

 Wanqi Yang, Yinghuan Shi, Sang Hyun Park, Ming Yang, Yang Gao, Dinggang Shen, An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images, IEEE Journal of Biomedical and Health Informatics (JBHI), 2020, 24(8): 2278-2291.

 

 Wanqi Yang, Yinghuan Shi, Yang Gao, Lei Wang, Ming Yang, Incomplete Data-Oriented Multi-View Dimension Reduction via Sparse Low Rank Representation, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018, 29(12): 6276-6291.

 

 Wanqi Yang, Yinghuan Shi, Yang Gao, Ming Yang, Online Multi-View Subspace Learning via Group Structure Analysis for Visual Object Tracking, Distributed and Parallel Databases (DPD), 2018, 36(3): 485-509.

 

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

 

 Wanqi Yang, Yang Gao, Longbing Cao, TRASMIL: A Local Anomaly Detection Framework Based on Trajectory Segmentation and Multi-instance Learning, Computer Vision and Image Understanding (CVIU), 2013, 117(10): 1273-1286.

 

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

 

 Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen, Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective, IEEE Journal of Biomedical and Health Informatics (JBHI), 2020.

 

 Jing Lv, Huimin Zhang, Ming Yang, Wanqi Yang, A Novel Spectral-Spatial based Adaptive Minimum Spanning Forest for Hyperspectral Image Classification, GeoInformatica, 2020.

 

 Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin, Heterogeneous Face Recognition by Margin Based Cross-Modality Metric Learning, IEEE Transactions on Cybernetics (TCYB), 2018, 48(6):1814-1826.

 

 Tai Hu, Ming Yang, Wanqi Yang, Aishi Li, An end-to-end differential network learning method for semantic segmentation, International Journal of Machine Learning and Cybernetics (JMLC), 2019, 10: 1909–1924.

 

 Huimin Zhang, Ming Yang, <strong>Wanqi Yang</strong>, Jing Lv, Spatial-Aware Hyperspectral Image Classification via Multifeature Kernel Dictionary Learning, International Journal of Data Science and Analytics (JDSA), 2018, 7: 115–129.

 

 Aishi Li, Ming Yang, Wanqi Yang, Feature Integration with Adaptive Importance Maps for Visual Tracking, IJCAI 2018.

 

 Kaixiang Wang, Ming Yang, Wanqi Yang, Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification, ACML 2018.

 

 Kaixiang Wang, Ming Yang, Wanqi Yang, Yilong Yin, Deep Cross-view Label Embedding with Correlation and Structure Preserved for Multi-label Classification, ICTAI 2018.

 

 Fengyi Song, Jinhui Tang, Ming Yang, Weiling Cai, Wanqi Yang, Attributes Consistent Faces Generation under Arbitrary Poses, ACCV 2018.

 

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

 

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

 

 Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao. Interactive Image Segmentation via Cascaded Metric Learning, IEEE International Conference on Image Processing, ICIP, 2015.

 

 

Honors and Awards:

 

Prize of Jiangsu Science and Technology Award (4/7), 2018

 

Member of Excellent Science and Technology Innovation Team of Universities in Jiangsu Province, 2019

 

 

 

Academic Title:

 

Associate Professor, School of Computer and Electronic Information, Nanjing Normal University

Secretary General, Artificial Intelligence Education Committee, Jiangsu Association of Artificial Intelligence (JSAI)

Standing Committee Member, Machine Learning Committee, Jiangsu Association of Artificial Intelligence (JSAI)

Member, Chinese Association for Artificial Intelligence (CAAI)

 

 

 

Contact:

 

+86 13347704885

 

yangwq@njnu.edu.cn