Hongying LIU


Education and Working Experience

07.2016 ~ Now： Xidian University, School of AI, Associate Professor

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

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

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

09.2002 ~ 03.2009：Xi’an University of Technology, Computer Science, B.E & M.S.


Research Interests

• Computer Vision, Image/Video Super-Resolution

• Machine Learning, Deep Learning

Publications (Note: " * " denotes Corresponding Author)

journal papers

2022

1) 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, DOI: 10.1007/s10462-022-10147-y, 2022, accepted. (IF:8.139)

2) 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)

2021

1) 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, Vol.14, 504-514. (IF: 3.784)

2) 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)

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

4) Fanhua Shang, Zhihui Zhang, Yuanyuan Liu, Hongying Liu*, et al. Efficient Asynchronous Semi-stochastic Block Coordinate Descent Methods for Large-Scale SVD. IEEE Access, 2021, 9: 126159-126171. (IF: 3.367)

5) 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)

6) 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, 2021, 43 (12), 4242-4255. (IF: 16.389)

7) 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)

8) Fanhua Shang, Hua Huang, Jun Fan, Yuanyuan Liu, Hongying Liu, Jianhui Liu. Asynchronous Parallel, Sparse Approximated SVRG for High-Dimensional Machine Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI: 10.1109/TKDE.2021.3070539, in press, 2021. (IF: 6.977)

9） Chaolong Zhang, Yuanyuan Liu, Fanhua Shang, Yangyang Li, Hongying Liu. A Novel Learned Primal-Dual Network for Image Compressive Sensing. IEEE Access, 2021, 9: 26041-26050. (IF: 3.367)

2020

1) 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), 3007-3016. ( IF: 10.451)

2) Hongying Liu, Ruyi Luo, Fanhua Shang*, Xuechun Meng, Shuiping Gou, Biao Hou, Semi-Supervised Deep Metric Learning Networks for Classification of Polarimetric SAR Data, Remote Sensing, 2020, 12 (10), 1593-1607. (IF: 4.848)

3) 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, 2020, 3(1), 188-202 (WOS:000502988400015) (IF: 6.977)

4) Xiufang Li, Qigong Sun, Lingling Li, Xu Liu, Hongying Liu, et al. SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification. IEEE Access. 2020 Jun 24;8:146560-76. (IF: 3.367)

5) Fanhua Shang, Bingkun Wei, Yuanyuan Liu, Hongying Liu, Shuang Wang, Licheng Jiao: Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications. Sensors. 2020, 20(17): 4902. (IF: 3.576)

6) Fanhua Shang, Yuanyuan Liu, Fanjie Shang, Hongying Liu, Lin Kong, Licheng Jiao. A Unified Scalable Equivalent Formulation for Schatten Quasi-Norms. Mathematics. 2020 Aug; 8(8):1325. (IF: 2.258)

2019-2018

1) Hongying Liu*, Feixiang Wang, Shuyuan Yang, Biao Hou, Licheng Jiao, Ri Yang, Fast Semi-supervised Classification Using Histogram-based Density Estimation for Large-scale Polarimetric SAR Data, IEEE Geoscience and Remote Sensing Letters, 2019, 16 (12), 1844-1848.(WOS:000501343000008) (IF: 3.966)

2) Hongying Liu, Zhi Wang, Fanhua Shang*, Shuyuan Yang, Shuiping Gou, Licheng Jiao, Semi-supervised Tensorial Locally Linear Embedding for Feature Extraction using PolSAR Data, IEEE Journal of Selected Topics in Signal Processing, 2018, 12(6), 1476-1490. (WOS:000454221700028) ( IF: 6.856)

3) Hongying Liu*, Shuyuan Yang, Shuiping Gou, Shuai Liu, Licheng Jiao, Terrain Classification based on Spatial Multi-attribute Graph using Polarimetric SAR Data, Applied Soft Computing, 2018,Volume 68, 24-38.(WOS:000433155300003) (IF: 6.725)

2017

1) Hongying Liu, Shuyuan Yang*, Shuiping Gou, Puhua Chen, Yikai Wang, and Licheng Jiao, Fast Classification for Large Polarimetric SAR Data based on Refined Spatial-anchor Graph, IEEE Geoscience and Remote Sensing Letters, 2017, 14(9), 1589-1593. (WOS: 000408765900034) (IF: 3.966)

2) Hongying Liu, Shuyuan Yang*, Shuiping Gou, Dexiang Zhu, Rongfang Wang, and Licheng Jiao, Polarimetric SAR Feature Extraction with Neighborhood Preservation-based Deep Learning, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(4): 1456-1466. (WOS:000398948400018) (IF: 3.784)

3) Wenqiang Hua, Shuang Wang, Hongying Liu, et al. Semisupervised PolSAR Image Classification Based on Improved Cotraining. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10 (11): 4971-4986. (IF: 3.784)

4) Yaoguo Zheng, Licheng Jiao, Hongying Liu, Xiangrong Zhang, et al. Unsupervised saliency-guided SAR image change detection. Pattern Recognition, 2017, 61: 309-326. (IF: 7.740)

5) Licheng Jiao, M. Liang, H. Chen, S.Yang, H. Liu & X. Cao. Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(10): 5585-5599. (IF: 5.60)

6) 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)

7) Chen Sun, Licheng Jiao, L.Cheng, Hongying Liu, Weighted Wishart distance learning for PolSAR image classification. International Journal of Remote Sensing, 2017, 38(18), 5232-5250. (IF: 3.151)

8) Shuai Liu, Licheng Jiao, Shuyuan Yang, Hongying Liu. Hierarchical Sparse Bayesian Learning with Beta Process Priors for Hyperspectral Imagery Restoration. IEICE Transactions on Information and Systems, Vol.E100-D, No.2, pp.350-358, 2017. (IF: 0.559)

2016

1) Hongying Liu*, Dexiang Zhu, Shuyuan Yang, Biao Hou, Shuiping Gou, Tao Xiong and Licheng Jiao, Semi-supervised Feature Extraction with Neighborhood Constraints for Polarimetric SAR Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (7), 3001-3015. (WOS:000384905500015) (IF: 3.784)

2) Hongying Liu*, Yikai Wang, Shuyuan Yang, Shuang Wang, Jie Feng, and Licheng Jiao, Large Polarimetric SAR Data Semi-supervised Classification with Spatial-anchor Graph, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (4), 1439-1458. (WOS:000375868800010) (IF: 3.784)

3) Hongying Liu*, Shuang Wang, Rongfang Wang, Junfei Shi, Erlei Zhang, Shuyuan Yang, and Licheng Jiao, A Framework for Classification of Urban Areas Using Polarimetric SAR Images Integrating Color Features and Statistical Model. Journal of Infrared and Millimeter Waves, 2016, 35(4), 398-406, (WOS:000386195600004) (IF:0.557)

4) Chen Sun*, Licheng Jiao, Hongying Liu, Shuyuan Yang. New Classifier Based on Compressed Dictionary and LS-SVM. Neurocomputing, 2016, 216: 617-626. (IF: 5.719)

5) Wenqiang Hua*, Shuang Wang, Hongying Liu, Yachao Liu, & Licheng Jiao. Adaptive unsupervised classification of polarimetric SAR images using the improved affinity propagation clustering algorithm. International Journal of Remote Sensing, 2016, 37(24), 6023-6040. (IF: 3.151)

6) Jie Feng*, Licheng Jiao, Tao Sun, Hongying Liu, et al. Multiple Kernel Learning Based on Discriminative Kernel Clustering for Hyperspectral Band Selection, IEEE Trans. on Geoscience and Remote Sensing, 2016, 54(11): 6516-6530. (IF: 5.60)

7) Fang Liu*, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, and Jialing Yuan, Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification, Pattern Recognition, 2016, 59: 325-342. (IF: 7.740)

8) Miaoyun Zhao, Licheng Jiao, Wenping Ma, Hongying Liu, Shuyuan Yang, Classification and saliency detection by semi-supervised low-rank representation, Pattern Recognition, Vol 51, March 2016, pp: 281-294. (IF: 7.740)

9) Shaona Wang*, Licheng Jiao, Shuyuan Yang, Hongying Liu. SAR Image Target Recognition via Complementary Spatial Pyramid Coding. Neurocomputing, 2016, 196: 125-132. (IF: 5.719)

10) Erlei Zhang*, Xiangrong Zhang, Licheng Jiao, Hongying Liu, Shuang Wang, et al, Weighted multifeature hyperspectral image classification via kernel joint sparse representation, Neurocomputing, 2016, 178, pp:71-86. (IF: 5.719)

11) Junfei Shi*, Lingling Li, Fang Liu, Licheng Jiao, Hongying Liu, Shuyuan Yang, et al. Unsupervised polarimetric synthetic aperture radar image classification based on sketch map and adaptive Markov random field. Journal of Applied Remote Sensing, 2016, 10(2): 025008-025008. (IF:1.530)


Conference papers

  • Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu*, HNO:High-order Numerical Architecture for ODE-Inspired Deep Unfolding Networks. Proceedings of the Thirty-Sixth 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 (MM), 2021, 5083-5091.

  • Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu*, Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning, 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. (20200608123256)

  • 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. (20194807756458)

  • Fanhua Shang, BingkunWei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo. Efficient Semi-Stochastic Gradient Support Pursuit for Sparsity-Constrained Non-convex Optimization. 28th International Joint Conference on Artificial Intelligence (IJCAI, Workshop of Data Science Meets Optimization), Aug 10, 2019, Macau, China.

  • Fanhua Shang, Zhihui Zhang*, Yuying An, Yang Hu, Hongying Liu, Efficient Parallel Stochastic Variance Reduction Algorithms for Large-Scale SVD. In: Proceedings of IEEE International Conference on Data Mining (ICDMW), 172-179, 2019.

  • Lin Kong, Xiaying Bai, Yang Hu, Fanhua Shang*, Yuanyuan Liu, and Hongying Liu. A Stochastic Variance Reduced Extragradient Method for Sparse Machine Learning Problems. In: Proceedings of IEEE International Conference on Data Mining (ICDMW), 155-164, 2019.

  • Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang*, Hongying Liu, Qigong Sun, Licheng Jiao. signADAM++: Learning Confidences for Deep Neural Networks. In: Proceedings of IEEE International Conference on Data Mining (ICDMW), 186-195, 2019.

  • Xiangyang Liu, Bingkun Wei, Fanhua Shang*, Hongying Liu, Loopless Semi-stochastic Gradient Descent with Less Hard hresholding for Sparse Learning, The 28th ACM International Conference on Information Learning and Knowledge Management (CIKM) 2019, pp. 881-890, Nov.4, Beijing, China. (Access No. 20194807745247)

  • Jie Feng, L Liu, X Zhang, R Wang, H. Liu. Hyperspectral image classification based on stacked marginal discriminative autoencoder. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017 Jul 23 (pp. 3668-3671).

  • Hongying Liu*, Zhi Wang, Feixiang Wang, Haisheng Deng, and Licheng Jiao, Semi-supervised classification based on SAGA for PolSAR images, Proc.12th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2017), pp. 106-116, Springer, Singapore. (20174704439870)

  • Haisheng Deng, Hongying Liu*, Feixiang Wang, Zhi Wang, and Yikai Wang, Image Compression based on Genetic Algorithm and Deep Neural Network, Proc.11th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2016), pp. 417-424, Springer, Singapore. (20170403282598)

  • Hongying Liu*, Xing Xing, Shigang Wang, Zhixi Feng, Erlei Zhang, Shuyuan Yang, Biao Hou, Licheng Jiao, Fast Semi-supervised Classification Based On Parallel Auction Graph For Polarimetric SAR Data,(Oral paper) Proc.36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, pp:1528-1531, Beijing, China. Jul.10-15, 2016. (20170103213704)

  • Hongying Liu*, Qiang Min, Chen Sun, Jin Zhao, Shuyuan Yang, Biao Hou, Jie Feng, Licheng Jiao, Terrain Classification With Polarimetric SAR Based On Deep Sparse Filtering Network, Proc.36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 (Oral paper), pp: 64-67, Beijing,China. Jul.10-15, 2016 (20170103212994)

  • Hongying Liu*, Yikai Wang, Shuyuan Yang, Shuang Wang, Biao Hou, and Licheng Jiao, Semi-supervised Classification Based on Anchor Graph for Large Polarimetric SAR Data, Proc.35th IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2015), pp:1845-1848. Milan, Italy, Jul.26, 2015.(Access No. 20161302152724)

Honour and Awards

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.

Others (contact: hyliu2009@foxmail.com )