Language
中文
Mobile
Liu Hongying
School

Medical College

Professional Title

Associate professor

Administrative Appointments

Associate Professor

Contact Information

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Brief Introduction

       Dr. Liu is a talented associate professor and doctoral supervisor in the Medical College of Tianjin University, China. She received her Ph.D. degree in information production and systems at Waseda University Japan in 2012. She worked as a lecturer in School of E.E from 2013 to 2016, and was an associate professor from 2016 to 2022 in School of AI at Xidian University, respectively. Her research interests are broadly in the area of artificial intelligence, pattern recognition with applications to data mining, medical video and image understanding. She has been responsible for more than 10 research projects including the ones both from the Chinese government and several institutions, and especially she has gained several important research projects from National Natural Science Foundation of China, etc. She has published more than 80 papers on top journals and conferences including IEEE TPAMI, IEEE TNNLS, IEEE TKDE, IEEE TGRS, AAAI, ACM MM, and IJCAI, and granted nearly 20 patents. She is also a senior member of IEEE, IEEE CIS, China Society of Image and Graphics (CSIG), and Shaanxi association of automation. She won the Anita Borg Scholarship in Asia area from Google Inc. in 2012. She was also granted the innovation award in 5th China High Resolution Earth Observation Conference in 2018, the best paper award in IEEE ICDM Workshop in 2019, and the Chinese Young Female Scholars in Artificial Intelligence in 2023.


Work Email: hyliu2009@tju.edu.cn                                                                                                                                                                                                                   

Research Interest

•     Intelligent Image & Video Processing

•     Deep Learning, Machine Learning,

Education and Working Experience

     04.2023 ~ Now：   Talented Associate Professor,The Medical College of Tianjin University,P.R.China.

      07.2016 ~ 03.2023：Associate Professor,School of AI/ E.E, Xidian University, P.R.China.

     06.2013 ~ 06.2016：Lecturer, School of E.E., Xidian University, P.R.China.

    10.2012 ~ 05.2013：Post-Doc, Information, Production and Systems, Waseda University, Japan.

    04.2009 ~ 11.2012：Ph.D, Information, Production and Systems, Waseda University, Japan.

Project Grant

1)       National Natural Science Foundation Project. 61976164, Studies on multi-valued graph convolutional neural network and its application in image classification, 01.2020～12.2023, Principal Investigator (PI).

2)       National Natural Science Foundation Project (ECR), 61502369, Semi-supervised classification for images based on tensor sparse graph, 01.2016～12.2018, PI.

3)       National Science Basic Research Plan in Shaanxi Province of China, Studies on video super-resolution, 2021GY-061, 01.2021～12.2022, PI.

4)       China Postdoctoral Science Foundation, 65ZY1425/2014M562379, Image classification based on sparse graph and spatial correlation, 09.2014～08.2016, PI.

Selected Publication (* Corresponding Author)

            Full publication list can be found at https://scholar.google.com/citations?user=S0pp67AAAAAJ&hl=en .

Selected Journal Paper

  • Yuanyuan Liu, Fanhua Shang, Hongying Liu*, Lin Kong, Licheng Jiao, Zhouchen Lin, Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021, 43 (12), 4242-4255. (IF=16.389)

  • Hongying Liu, Zhubo Ruan, Peng Zhao, Chao Dong, Fanhua Shang*, Yuanyuan Liu, Linlin Yang, Radu Timofte. Video Super-Resolution Based on Deep Learning: A Comprehensive Survey, Artificial Intelligence Review, 2022, accepted. (IF=8.139)

  • Yuanyuan Liu, Jiacheng Geng, Fanhua Shang, Weixin An, Hongying Liu*, Qi Zhu, Wei Feng. Laplacian Smoothing Stochastic ADMMs with Differential Privacy Guarantees. IEEE Transactions on Information Forensics and Security (TIFS), 2022, accepted. (IF=7.178)

  • Fanhua Shang, BingkunWei, Hongying Liu*, Yuanyuan Liu, Pan Zhou and Maoguo Gong, Efficient Gradient Support Pursuit with Less Hard Thresholding for Cardinality-Constrained Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2021.3087805, in press, 2021. (IF=10.451)

  • Hongying Liu, Fanhua Shang, Shuyuan Yang, Maoguo Gong, Tianwen Zhu, Licheng Jiao, Sparse Manifold Regularized Neural Networks for Polarimetric SAR Terrain Classification, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020, 31(8), 2162-2388. (IF=10.451)

  • Fanhua Shang, Tao Xu, Yuanyuan Liu, Hongying Liu*, Differentially Private ADMM Algorithms for Machine Learning, IEEE Transactions on Information Forensics & Security (TIFS), 2021, 16, 4733-4745. (IF=7.178)

  • Hongying Liu, Tianwen Zhu, Fanhua Shang, Yuanyuan Liu, Derui Lv, Shuyuan Yang, Deep Fuzzy Graph Convolutional Networks for PolSAR Imagery Pixel-wise Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14, 504-514. (IF=3.784)

  • Yuanyuan Liu, Jiacheng Geng, Fanhua Shang, Hongying Liu, Qi Zhu. Loopless Variance Reduced Stochastic ADMM for Equality Constrained Problems in IoT Applications. IEEE Internet of Things Journal, 2021, 9 (3), 2293-2303. (IF=9.471)

  • Hongying Liu, Derong Xu, Tianwen Zhu, Fanhua Shang, Yuanyuan Liu, Ri Yang, Jianhua Lu, Graph Convolutional Networks by Architecture Search for PolSAR Image Classification, Remote Sensing, 2021, 13 (7), 1404. (IF=4.848)

  • Fanhua Shang, Kaiwen Zhou, Hongying Liu*, James Cheng, Ivor Tsang, Lijun Zhang, Dacheng Tao, Jiao Licheng. VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020, 3(1), 188-202 (IF=6.977)

  • W. Zhao, L. Jiao, W. Ma, J. Zhao, J. Zhao, H. Liu, et al. Superpixel-Based Multiple Local CNN for Panchromatic and Multispectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(7), 4141-4156. (IF= 5.60)

Selected Conference Paper

  • Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu*, HNO:High-order Numerical Architecture for ODE-Inspired Deep Unfolding Networks. Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022, in press.

  • Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu, Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021, 35(3), 2127-2135.

  • Hongying Liu, Ruyi Luo, Fanhua Shang, Mantang Niu, Yuanyuan Liu, Progressive Semantic Matching for Video-Text Retrieval, Proceedings of 29th ACM Multimedia 2021 (ACM MM), 2021, 5083-5091. 

  • Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu*, Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning, Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21), 2556-2562, 2021. 

  • Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin. Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding. Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021, 35(10), 8501-8509.

  • Fanhua Shang, Zhihui Zhang, Tao Xu, Yuanyuan Liu, Hongying Liu*. Principal Component Analysis in the Stochastic Differential Privacy Model, Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021), 2021, PMLR 161:1110–1119.

  • Hongying Liu, Zhongshu Wang, Fanhua Shang, Mingyang Zhang, Maoguo Gong, Feihang Ge and Licheng Jiao, A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images, IEEE International Conference on Data Mining (ICDM) Workshop, Best paper award, Nov 8, 165-171, 2019, Beijing, China.

  • Hongying Liu, Xiongjie Shen, Fanhua Shang, Feihang Ge, and Fei Wang, CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation, 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop, Oct 17, Shen Zhen, China, pp. 102–111, 2019.

Honour and Award

Mar. 2023    Chinese Young Female Scholars in Artificial Intelligence.

Nov. 2019    Best paper award of IEEE International Conference on Data Mining (ICDM) Workshop.

Oct. 2018     Innovation award in 5th China High Resolution Earth Observation Conference.

Sep. 2012    Google lnc. Anita Borg Memorial Scholarship Asia Scholar’s Award.

Apri. 2012    GCOE Japan, Waseda Senior Research Fellow.

Mar. 2009    Shaanxi Provincial Department of Education, Outstanding Graduate Student.

Professional Activity

1)       PC member for top conferences: AAAI (2019-21), ACM MM (2020-21), IJCAI (2021), ECCV (2021), etc.

2)       Reviewers for top journals: IEEE TNNLS, IEEE TSP, IEEE TGRS, Pattern Recognition, Knowledge Based Systems, Applied Soft Computing, etc.

3)       Reviewers for Thesis in Centers of Ministry of Education (since 2019), Reviewers for Taylor & Francis Group (2020-21).

4)       IEEE Senior Member, ACM Member, Member of Society of Automation in ShaanXi Province.


Academic Achievements

Address: No. 92, Weijin Road, Nankai District, Tianjin Zip Code: 300072

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