皇冠体育app

Ph.D. Associate Professor

School of Artifical Intelligence

School of Computer and Electronic Information

Nanjing Normal University

Room 210, Mingli Building, No.1 Wenyuan Road

Nanjing, Jiangsu, China, 210023

yangwq AT njnu.edu.cn

About Me

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.

Chinese Version (中文简介)

Research Interest

Currently, I am broadly interested in machine learning, deep learning and pattern recognition.

In particular, the goal 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.

MAJOR GRANTS

• 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.

Preprints

• Class Distribution Alignment for Adversarial Domain Adaptation

  Wanqi Yang, Tong Ling, Chengmei Yang, Lei Wang, Yinghuan Shi, Luping Zhou, Ming Yang

  [Arxiv]

Selected Publication

• Few-shot Unsupervised Domain Adaptation with Image-to-Class Sparse Similarity Encoding

  Shengqi Huang, Wanqi Yang*, Lei Wang, Luping Zhou, Ming Yang

  ACM Multimedia 2021, accepted

• An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images

  Wanqi Yang, Yinghuan Shi, Sang Hyun Park, Ming Yang, Yang Gao, Dinggang Shen

  IEEE Journal of Biomedical and Health Informatics (JBHI), 2020, 24(8): 2278-2291 [Link]

• Incomplete Data-Oriented Multi-View Dimension Reduction via Sparse Low Rank Representation

  Wanqi Yang, Yinghuan Shi, Yang Gao, Lei Wang, Ming Yang

  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018, 29(12): 6276-6291 [Link]

• Online Multi-View Subspace Learning via Group Structure Analysis for Visual Object Tracking

  Wanqi Yang, Yinghuan Shi, Yang Gao, Ming Yang

  Distributed and Parallel Databases (DPD), 2018, 36(3): 485-509

• MRM-Lasso: A Sparse Multi-View Feature Selection Method via Low-Rank Analysis

  Wanqi Yang, Yang Gao, Yinghuan Shi, Longbing Cao

  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2015, 26(11): 2801-2815 [Link]

• 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 (APIN), 2014, 41(3): 776-790.

• TRASMIL: A Local Anomaly Detection Framework Based on Trajectory Segmentation and Multi-instance Learning

  Wanqi Yang, Yang Gao, Longbing Cao

  Computer Vision and Image Understanding (CVIU), 2013, 117(10): 1273-1286.

• Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective

  Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen

  IEEE Journal of Biomedical and Health Informatics (JBHI), 2020

• SA-LuT-Nets: Learning Sample-adaptive Intensity Lookup Tables for Brain Tumor Segmentation

  Biting Yu, Luping Zhou, Lei Wang, Wanqi Yang, Ming Yang, Pierrick Bourgeat, Jurgen Fripp

  IEEE Transactions on Medical Imaging (TMI), 2021

• A Novel Spectral-Spatial based Adaptive Minimum Spanning Forest for Hyperspectral Image Classification

  Jing Lv, Huimin Zhang, Ming Yang, Wanqi Yang

  GeoInformatica, 2020, 24(4): 827-848.

• Heterogeneous Face Recognition by Margin Based Cross-Modality Metric Learning

  Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin

  IEEE Transactions on Cybernetics (TCYB), 2018, 48(6):1814-1826.

• An end-to-end differential network learning method for semantic segmentation

  Tai Hu, Ming Yang, Wanqi Yang, Aishi Li

  International Journal of Machine Learning and Cybernetics (JMLC), 2019, 10:1909-1924.

• Spatial-Aware Hyperspectral Image Classification via Multifeature Kernel Dictionary Learning

  Huimin Zhang, Ming Yang, Wanqi Yang, Jing Lv

  International Journal of Data Science and Analytics (JDSA), 2018, 7: 115-129.

• Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation

  Biting Yu, Luping Zhou, Lei Wang, Wanqi Yang, Ming Yang, Pierrick Bourgeat, Jurgen Fripp

  MICCAI, 2020

• Feature Integration with Adaptive Importance Maps for Visual Tracking

  Aishi Li, Ming Yang, Wanqi Yang

  IJCAI, 2018

• Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification

  Kaixiang Wang, Ming Yang, Wanqi Yang

  ACML, 2018

• Deep Cross-view Label Embedding with Correlation and Structure Preserved for Multi-label Classification

  Kaixiang Wang, Ming Yang, Wanqi Yang, Yilong Yin

  ICTAI, 2018

• Attributes Consistent Faces Generation under Arbitrary Poses

  Fengyi Song, Jinhui Tang, Ming Yang, Weiling Cai, Wanqi Yang

  ACCV, 2018

• Does Manual Delineation Only Provide the Side Information in CT Prostate Segmentation?

  Yinghuan Shi, Wanqi Yang, Yang Gao, Dinggang Shen

  MICCAI, 2017

• Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition

  Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin

  ACM Multimedia, 2016

• Interactive Image Segmentation via Cascaded Metric Learning

  Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao

  ICIP, 2015

• [More Papers]

Awards

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

  江苏省科学技术二等奖（第四完成人）

• Member of Excellent Science and Technology Innovation Team of Universities in Jiangsu Province (2019)

  江苏省教育厅高校优秀科技创新团队成员