XU Yong

Academic Title: Professor

Research Interests: Artificial Intelligence (AI), Big Data, Computational Vision, Pattern Recognition, Image Processing, and related fields

Personal Profile

Dr. Xu Yong, Doctoral Supervisor, Senior Member of IEEE, Senior Member of ACM, Distinguished Member of China Computer Federation (CCF), Chair of CCF Guangzhou Chapter, Director of Guangdong Engineering Research Center for Big Data Analysis and Processing. Guangdong Special Support Program Teaching Master, Provincial-Level Cultivation Object of Guangdong’s 'Qian Bai Shi' Program, Academic Team Leader of 'Visual and Service Computing' at South China University of Technology. Main Research Areas: Artificial Intelligence, Big Data, Computational Machine Vision, Pattern Recognition, Image Processing. Recent Achievements: Published 161 research papers, including 35 JCR Q1 papers and 27 CCF-A conference papers. Awards: Guangdong Provincial Science and Technology Progress Award (Second Prize) in 2019 and 2005 (Ranked First); Guangdong Computer Society Science and Technology Award (First Prize) in 2018 and 2015 (Ranked First); Guangdong Computer Society Excellent Paper Award (First Prize) in 2016 (2 awards, Ranked First). Student Guidance Awards: Gold Medal, 7th China International 'Internet+' College Students Innovation and Entrepreneurship Competition (Industry Track, First Supervisor); Gold Medal, 6th China International 'Internet+' College Students Innovation and Entrepreneurship Competition (International Track, First Supervisor).

Education Background

1996.09–1999.07, Department of Mathematics, Nanjing University, PhD

1993.09–1996.07, Department of Mathematics, Nanjing University, Master's Degree

1988.09–1993.07, Department of Mathematics, Nanjing University, Bachelor's Degree

Research Projects

1.National Natural Science Foundation of China (NSFC) Project 'Key Theoretical and Algorithmic Research on Face Detection under Harsh Illumination Conditions (62072188)', 2021.1–2024.12. Project Leader.

2.Guangdong Provincial Science and Technology Planning Project – International Collaboration 'Key Technologies for Image/Video Enhancement and Cognitive Analysis and Their Applications (2019A050510010)', 2020.01–2021.12. Project Leader.

3.Guangzhou Industrial Technology Major Project – Modern Industry Technology Special Topic 'R&D and Industrialization of Intelligent Financial Service Robots (201802010055)', 2017.10–2020.09. Principal Investigator on the University Side.

4.NSFC–Guangdong Joint Research Center for Big Data Project 'Efficient Representation, Deep Analysis, and Comprehensive Utilization of Video Big Data', 2017.1–2020.12. Sub-project Leader.

5.National Natural Science Foundation of China (NSFC) Project 'Key Theoretical and Algorithmic Research on Image/Video Deraining (61672241)', 2017.1–2020.12. Project Leader.

6.Guangdong Provincial Natural Science Foundation – Major Basic Research Cultivation Project 'Key Theories of Visual Big Data and Their Applications (2016A030308013)', 2016.6–2020.6. Project Leader.

7.NSFC Overseas and Hong Kong/Macau Scholars Collaboration Project 'Fundamental Problems in Smartphone-Based Machine Vision (61528204)', 2016.01–2017.12. Chinese Principal Investigator.

8.Guangdong Applied Science and Technology R&D Special Project 'Big Data Analysis Platform for Cultural Consumption E-commerce Services and Demonstration Applications (2016B030306001)', 2016.01–2018.12. SCUT Project Leader.

9.Guangdong Collaborative Innovation and Platform Environment Construction Special Project 'Guangdong Engineering Research Center for Big Data Analysis and Processing (20140904-160)', 2015.1–2017.12. Project Leader.

10.National Natural Science Foundation of China (NSFC) Project 'Key Technologies for Dynamic Texture Video Recognition (61273255)', 2013.1–2016.12. Project Leader.

11.NSFC International (Regional) Cooperation Project 'Image/Video Invariant Features and Their Applications in Multimedia Quality Assessment (61211130308)', 2012.02–2012.12. Project Leader.

12.National Natural Science Foundation of China (NSFC) Project 'Research on Local Invariant Features and Models for Images (61070091)', 2011.1–2013.12. Project Leader.

13.Ministry of Education 'New Century Excellent Talents Support Program (NCET-10-0368)', 2010.1–2012.12. Project Leader.

14.National Natural Science Foundation of China (NSFC) Project 'Texture Features Invariant under Double Lipschitz Transformations and Their Applications (60603022)', 2007.1–2009.12. Project Leader.

15.National Basic Research Program of China (973 Program) 'Research on Network Management and Security Based on Autonomous Governance Models (2009CB320505)', 2009–2013. Sub-project Leader.

16.National 973 Program 'Trustworthy Internet Security Architecture and Security Monitoring Theory (2003CB314805)', 2004.10–2008.10. Sub-project Leader.

17.Key Technology Research for FashionAI in E-commerce (SCUT–Vipshop Joint Laboratory for Intelligent E-commerce), Vipshop Research Institute, Guangzhou, 2018.8–2022.7. Project Leader.

18.Key Technology Research for Smart Education (SCUT–Vedute Smart Education Joint Laboratory), Vedute Computer Technology Co., Ltd., Guangzhou, 2018.5–2021.5. Project Leader.

Flagship Achievements

1.Y. Xu(Xu Yong), B.L. Liu, Y.H. Quan (Corresponding Author), and H. Ji. Unsupervised Deep Background Matting Using Deep Matte Prior. IEEE TCSVT (IEEE Transactions on Circuits and Systems for Video Technology) (JCR Q1 journal), 2022.

2.T.Y. Chen, S. Wu (Corresponding Author), X.H. Yang, Y. Xu(Xu Yong), and H.S. Wong. Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis. IEEE TMM (JCR Q1 journal), 2022.

3.S.H. Lin, W.H. Wu, S. Wu (Corresponding Author), Y. Xu (Xu Yong), and H.S Wong. Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection. IEEE TMM (JCR Q1 journal), 2022.

4.T.Y. Chen, Y.F. Zhang, X.Y. Huo, S. Wu (Corresponding Author), Y. Xu (Xu Yong), and H.S. Wong. SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. CVPR 2022 (CCF-A conference), Jun.19-23, 2022.

5.X.H. Yang, Y.W. Wang, K. Chen, Yong Xu, and Y.H. Tian. Fine-Grained Object Classification via Self-Supervised Pose Alignment. CVPR 2022 (CCF-A conference), Jun.19-23, 2022.

6.Y.H. Quan, P.K. Lin, Y. Xu (Xu Yong, Corresponding Author), Y.S. Nan, and H. Ji. Non-Blind Image Deblurring via Deep Learning in Complex Field. IEEE Transactions on Neural Networks and Learning Systems (JCR Q1 journal), 33(09): 1-14, 2022.

7.J.X. Liang, J.W. Wang, Y.H. Quan, T.Y. Chen, J.Y. Liu, H.B. Ling, and Y. Xu (Xu Yong, Corresponding Author). Recurrent Exposure Generation for Low-Light Face Detection. IEEE TMM (JCR Q1 journal), 24:1609-1621, Mar., 2022.

8.L.Y. Liang, L.W. Jin (Corresponding Author), and Y. Xu (Xu Yong, Corresponding Author). PDE Learning of Filtering and Propagation for Task-Aware Facial Intrinsic Image Analysis. IEEE Transactions on Cybernetics (JCR Q1 journal), 52(2), 1021-1034, Feb.,2022.

9.Y. Xu(Xu Yong), F. Li, Z.L Chen, J.X. Liang, Y.H. Quan (Corresponding Author). Encoding Spatial Distribution of Convolutional Features for Texture Representation. NIPS2021 (CCF-A conference), Dec. 6-14, a virtual conference, 2021.

10.G.Y. Li, Y. Liu, X.W. Wei, Y. Zhang, S. Wu (Corresponding Author), Y. Xu (Xu Yong), H.S. Wong. Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations. ACM Multimedia 2021 (CCF-A conference), Oct. 20-24, 2021, Chengdu, China.

11.T.Y. Chen, Y. Liu, Y.F. Zhang, S. Wu (Corresponding Author), Y. Xu (Xu Yong), L.B. Feng, and H.S. Wong. Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. ICCV 2021 (CCF-A conference), Oct. 11-17, a virtual conference, 2021.

12.X.W. Liao, Y. Xu (Xu Yong, Corresponding Author), and H.B. Ling (Corresponding Author). Hypergraph Neural Networks for Hypergraph Matching. ICCV 2021 (CCF-A conference), 1266-1275, Oct. 11-17, a virtual conference, 2021.

13. L.H. Xia, C. Huang, Y. Xu (Corresponding Author), P. Dai, L.F. Bo., X.Y. Zhang, and T.Y. Chen. Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. IJCAI 2021 (CCF-A conference), 1631-1637, Aug. 21-26, a virtual conference, 2021.

14.L.H. Xia, Y. Xu (Xu Yong), C. Huang(Corresponding Author), P. Dai, and L.F. Bo. Graph Meta Network for Multi-Behavior Recommendation. SIGIR 2021 (CCF-A conference), 757-766, Jul. 11-15, a virtual conference, Canada, 2021.

15.Z.L. Chen, F. Li., Y.H. Quan (Corresponding Author), Y. Xu (Xu Yong), and H. Ji. Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity. CVPR 2021 (CCF-A conference), 5231-5240, a virtual conference, Jun.19-25, 2021.

16.B.X. Yu, Y. Xu(Xu Yong), Y. Huang (Corresponding Author), S. Yang, and J.Y. Liu. Mask-guided GAN for Robust Text Editing in the Scene. Neurocomputing (JCR Q1 journal), 441, 192-201, Jun., 2021.

17.Y. Xu (Xu Yong), C.D. Zheng, R.T. Xu, Y. H. Quan (Corresponding Author), and H.B. Ling. Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning. IEEE TIP (JCR Q1 journal), 30, 5299-5312, Jun., 2021.

18.R.T. Xu, Y. Xu (Xu Yong) and Y.H. Quan (Corresponding Author). Factorized Tensor Dictionary Learning for Visual Tensor Data Completion. IEEE TMM (JCR Q1 journal), 23, 1225-1238, May, 2021.

19.L.H. Xia, C. Huang, Y. Xu (Xu Yong, Corresponding Author), P. Dai, M.Y. Lu, and L.F. Bo. Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. ICDE 2021 (CCF-A conference), 1931-1936, Apr. 19-22, 2021, Chania, Greece.

20.Y.H. Quan, Y.X. Chen, Y.Z. Shao, H. Teng, Y. Xu(Xu Yong, Corresponding Author), and H. Ji. Image Denoising Using Complex-Valued Deep CNN. Pattern Recognition (JCR Q1 journal), 111(107639), 1-12, Mar., 2021.

21.H. Fan (Corresponding Author), H.X. Bai, L.T. Lin, F. Yang, P. Chu, G. Deng, S.J. Yu, Harshit, M.Z. Huang, J.H. Liu, Y. Xu (Xu Yong), C.Y. Liao, L. Yuan, and H.B. Ling (Corresponding Author). LaSOT: A High-quality Large-scale Single Object Tracking Benchmark. IJCV (JCR Q1 journal), 129, 439-461, Feb., 2021.

22.R.T. Xu, Y. Xu(Xu Yong) and Y.H. Quan (Corresponding Author). Structure-Texture Image Decomposition Using Discriminative Patch Recurrence. IEEE TIP (JCR Q1 journal), 30, 1542-1555, Feb., 2021.

23.L.H. Xia, C. Huang (Corresponding Author), Y. Xu(Xu Yong), P. Dai, X.Y. Zhang, H.S. Yang, J. Pei, and L.F. Bo. Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI 2021 (CCF-A conference), 4486-4493, Feb. 2-9, a virtual conference, 2021.

24.C. Huang, H.C. Xu, Y. Xu (Xu Yong, Corresponding Author), P. Dai, L.H. Xia, M.Y. Lu, L.F. Bo, H. Xing, X.P. Lai, and Y.F. Ye. Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI 2021 (CCF-A conference), 4115-4122, Feb. 2-9, a virtual conference, 2021.

25.C. Huang, J.H. Chen, L.H. Xia, Y. Xu (Xu Yong, Corresponding Author), P. Dai, Y.Q. Chen, L.F. Bo, J.S. Zhao, and J. Huang. Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. AAAI 2021 (CCF-A conference), 4123-4130, Feb. 2-9, a virtual conference, 2021.

26.X.Y. Zhang, C. Huang (Corresponding Author), Y. Xu (Xu Yong), L.H. Xia, P. Dai, L.F. Bo, J.B. Zhang, and Y. Zheng. Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI 2021 (CCF-A conference), 15008-15015, Feb. 2-9, a virtual conference, 2021.

28.W.H. Yang, Y. Yuan, W.Q. Ren, J.Y. Liu, W. J. Scheirer (Corresponding Author), Z.Y. Wang (Corresponding Author), T.H. Zhang, Q.Y. Zhong, D. Xie, S.L. Pu, Y.Q. Zheng, Y.Y. Qu, Y.H. Xie, L. Chen, Z.H. Li, and C. Hong, H. Jiang, S.Y. Yang, Y. Liu, X.C Qu, P.F. Wan, S. Zheng, M.H. Zhong, T.Y. Su, L.Z. He, Y.D. Guo, Y. Zhao, Z.F. Zhu, J.N. Chi, H. Wang, K. Wang, Y.X. Liu, X.Y. Gao, Z.Y. Chen, Y.Z. Li, C. Guo, J.X. Liang, J.W. Wang, T.Y. Chen, Y.H. Quan, Y. Xu (Corresponding Author), B. Liu, X. Liu, Q. Sun, T.Y. Lin, X.C. Li, F. Lu, L. Gu, S.D. Zhou, C. Cao, S.Z. Wang, R.Z. Liu, J.G. Yang, L.G. Zhou, L.K. Qin, M.Y. Feng. Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE TIP (Transactions on Image Processing, JCR Q1 journal), 29, 5737-5752, Dec., 2020.

29.Z.H. Zhou, J. Li, Y. Xu (Xu Yong), and Y.H. Quan (Corresponding Author). Full-Reference Image Quality Metric for Blurry Images and Compressed Images Using Hybrid Dictionary Learning. Neural Computing & Applications (NCA, JCR Q1 journal), 32, 12403-12415, Aug., 2020.

30.L.H. Xia, C. Huang, Y. Xu (Xu Yong, Corresponding Author), P. Dai, B. Zhang, and L.F. Bo. Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. SIGIR 2020 (CCF-A conference), 2397-2406, Jul. 25–30, 2020, Virtual Event, China.

31.R.T. Xu, Y. Xu (Xu Yong), Y.H. Quan (Corresponding Author), and J. Hui. Cartoon-Texture Image Decomposition Using Orientation Characteristics in Patch Recurrence. SIAM Journal on Image Sciences (JCR Q1 journal), 13(3), 1179-1210, Jul., 2020.

32.Y.H. Quan, J.T. Yang, Y.X. Chen, Y. Xu (Xu Yong, Corresponding Author), and H. Ji. Collaborative Deep Learning for Super-Resolving Blurry Text Images. IEEE Transactions on Computational Imaging (JCR Q1 journal), 6, 778-790, Jun., 2020.

33.Y. Huang, Y.H. Quan (Corresponding Author), Y. Xu (Xu Yong), R.T. Xu, and H. Ji. Removing Reflection from a Single Image with Ghosting Effect. IEEE Transactions on Computational Imaging (JCR Q1 journal), 6(1), 34-45, Jan., 2020.

34.L.Y. Liang, L.W. Jin (Corresponding Author), and Y. Xu (Xu Yong, Corresponding Author). Adaptive GNN for Image Analysis and Editing. NIPS 2019 (CCF-A conference), Dec. 8-14, 2019, Vancouver, Canada.

35.Y. Huang, Y.H. Quan (Corresponding Author), T. Liu, and Y. Xu(Xu Yong). Exploiting Label Consistency in Structured Sparse Representation for Classification. Neural Computing & Applications (NCA, JCR Q1 journal), 31(10), 6509-6520, Oct., 2019.

36.T.Q. Qi, Y. Xu (Xu Yong, Corresponding Author) and H.B. Ling. Tourism Scene Classification Based on Multi-Stage Transfer Learning Model. Neural Computing & Applications (JCR Q1 journal), 31(8), 4341-4352, Aug., 2019.

37.H. Fan, L.T. Lin, F. Yang, P. Chu, G. Deng, S.J. Yu, H.X. Bai, Y. Xu (Xu Yong), C.Y. Liao, and H.B. Ling (Corresponding Author). LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking. CVPR 2019 (CCF-A conference), Jun.16-20, 2019, Long Beach, CA, USA.

38.J.W. Wang, W.H. Jiang (Corresponding Author), L. Ma (Corresponding Author), W. Liu and Y. Xu (Xu Yong). Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning. CVPR 2018 (CCF-A conference), 7190-7198, Jun. 18-22, 2018, Salt Lake City, USA.

39.S. Wu (Corresponding Author), Q.J. Ji, S.F. Wang, H. S Wong, Z. W Yu and Y. Xu (Xu Yong). Semi-supervised Image Classification with Self-paced Cross-Task Networks. IEEE Transactions on Multimedia (JCR Q1 journal), 20(4), 851-865, Apr., 2018.

40.S. Wu (Corresponding Author), S.F. Wang, R. Laganiere, C. Liu, H. S Wong and Y. Xu (Xu Yong). Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection. IEEE TIP (Transactions on Image Processing, JCR Q1 journal), 27(3), 1418-1432, Mar., 2018.

41.T.Q. Qi, Y.Xu (Xu Yong, Corresponding Author), Y.H. Quan, Y.D. Wang and H.B. Ling. Image-Based Action Recognition Using Hint-Enhanced Deep Neural Networks. Neurocomputing (JCR Q1 journal), 267(6), 475-488, Dec., 2017.

42.J.W. Wang, J.L. Fu, Y. Xu (Xu Yong) and T. Mei. Beyond Object Recognition: Visual Sentiment Analysis with Deep Coupled Adjective and Noun Neural Networks. IJCAI 2016 (CCF-A conference), 3484-3490, Jul.9-15, 2016, New York, USA.

43.Y.H. Quan, Y. Xu (Xu Yong, Corresponding Author), Y.P. Sun and Y. Huang. Supervised Dictionary Learning with Multiple Classifier Integration. Pattern Recognition (JCR Q1 journal), 55, 247-260, Jul., 2016.

44.Y.H. Quan, Y. Xu (Xu Yong, Corresponding Author), Y.P. Sun and H. Ji. Sparse Coding for Classification via Discrimination Ensemble. CVPR 2016 (CCF-A conference), 5839-5847, Jun.26-Jul.1, 2016, Las Vegas, Nevada, USA.

45.Q. Zhang, and Y. Xu (Xu Yong, Corresponding Author). Block-based Selection Random Forest for Texture Classification Using Multifractal Spectrum Feature. Neural Computing & Applications (JCR Q1 journal), 27(3), 593-602, Apr., 2016.

46.Y. Luo, Y. Xu (Xu Yong) and H. Ji. Removing Rain from a Single Image via Discriminative Sparse Coding. ICCV 2015 (CCF-A conference), 3397-3405, accepted as oral(3.3%), Dec.13-16, 2015, Santiago, Chile.

47.Y. Xu(Xu Yong), Y.H. Quan (Corresponding Author), Z.M. Zhang, H.B. Ling and H. Ji. Classifying Dynamic Textures via Spatiotemporal Fractal Analysis. Pattern Recognition (JCR Q1 journal), 48(10), 3239-3248, Oct. 2015.

48.Y. Xu (Xu Yong, Corresponding Author), D.L. Liu, Y.H. Quan and P. Le Callet. Fractal Analysis for Reduced Reference Image Quality Assessment. IEEE TIP (Transactions on Image Processing, JCR Q1 journal), 24(7), 2098-2109, Jul. 2015.

49.D.L. Liu, Y. Xu (Xu Yong, Corresponding Author), Y.H. Quan, Z.W.Yu and P. Le Callet. Directional Regularity for Visual Quality Estimation. Signal Processing (JCR Q1 journal), 110, 211-221, May 2015.

50.Y.H. Quan, Y. Xu (Xu Yong), Y.P. Sun and Y. Luo. Lacunarity Analysis on Image Patterns for Texture Classification. CVPR2014 (CCF-A conference), 160-167, Jun. 24-27, 2014, Columbus, Ohio, USA.

51.Y.Q. Li, Z.L. Yu, N. Bi, Y. Xu (Xu Yong), Z.H. Gu and S. Amari. Sparse Representation for Brain Signal Processing: A tutorial on methods and applications. IEEE Signal Processing Magazine (JCR Q1 journal), 31(3), 96-106, May. 2014.

52.Y.H. Quan, Y. Xu (Xu Yong, Corresponding Author) and Y.P. Sun. A Distinct and Compact Texture Descriptor. Image and Vision Computing (JCR Q1 journal) , 32(4), 250-259, Apr. 2014.

53.H. Ji, X. Yang, H.B. Ling and Y. Xu (Xu Yong, Corresponding Author). Wavelet Domain Multifractal Analysis for Static and Dynamic Texture Classification. IEEE TIP (Transactions on Image Processing, JCR Q1 journal), 22(1): 286-299, Jan. 2013.

54.Y. Xu (Xu Yong), Y.H. Quan, Z.M. Zhang, H. Ji, C. Fermuller, M. Nishigaki and D. Dementhon. Contour-based Recognition. CVPR 2012 (CCF-A conference), 3402-3409, Jun.16-21, 2012, Providence, Rhode Island, USA.

55.Y. Xu (Xu Yong), Y.H. Quan, H.B. Ling and H. Ji. Dynamic Texture Classification Using Dynamic Fractal Analysis. ICCV 2011 (CCF-A conference), 1219-1226, Nov.6-13, 2011, Barcelona, Spain.

56.Y. Xu (Xu Yong), X. Yang, H.B. Ling and H. Ji. A New Texture Descriptor Using Multifractal Analysis in Multi-orientation Wavelet Pyramid. CVPR 2010 (CCF-A conference, oral(4.5%)), 161-168, Jun.13-18, 2010, San Francisco, California, USA.

57.Y. Xu (Xu Yong), H. Ji and C. Fermuller (Corresponding Author). Viewpoint Invariant Texture Description Using Fractal Analysis. IJCV (International Journal of Computer Vision, JCR Q1 journal), 83(1): 85-100, Jun.2009.

58.Y. Xu (Xu Yong), S.B. Huang, H. Ji and C. Fermuller. Combining Powerful Local and Global Statistics for Texture Description. CVPR 2009 (CCF-A conference), 573-580, Jun.20-25, 2009, Miami Beach, USA.

59.D.C. Chang and Y. Xu (Xu Yong). New Inequalities on Fractal Analysis and Their Applications. Journal of Inequalities and Applications (JCR Q1 journal), Article ID 26249, 1-17, Dec., 2007.

60.Y. Xu (Xu Yong), H. Ji and C. Fermuller. A Projective Invariant for Textures. CVPR 2006 (CCF-A conference), 1932-1939, Jun.17-22, 2006, New York, USA.