Name：Yong Xu
Professional Title / Position：Professor (Grade 2)/ Vice President, Dean of National Academy of Excellent Engineers
Research Direction：Artificial intelligence, big data, computational machine vision, pattern recognition, image processing, etc.
Team：Big Data and Visual Computing Team (Leader)
Tel：020-87111666
Email：yxu@scut.edu.cn
Biography：
Yong Xu is the current Vice President and Dean of the National Academy of Excellent Engineers at South China University of Technology (SCUT). He is also a Level 2 professor and doctoral supervisor at the School of Computer Science and Engineering/Future Technology. He directs the Guangdong Provincial Key Laboratory of Multimodal Big Data Intelligent Analysis and the Guangdong Engineering Technology Research Center for Big Data Analysis and Processing, and is the deputy director of the Ministry of Education Engineering Research Center of Human Body Data Perception.
He obtained his B.S., M.S., and Ph.D. degrees from Nanjing University in 1993, 1996, and 1999, respectively. Since 1999, he has worked at SCUT, holding various positions including head of the Computer College department, vice dean, dean of the Software College, and executive vice dean of the Graduate School. He has been recognized as a New Century Excellent Talent by the Ministry of Education, a Teaching Master in the Guangdong Special Support Program, and is a senior member of IEEE and ACM, as well as a distinguished member of CCF. He is the leader of the Big Data and Visual Computing academic team at SCUT.
His main research interests are in artificial intelligence, big data, computational machine vision, pattern recognition, and image processing. Over the years, he has led or participated in more than 40 national and provincial-level research projects, has published over 200 research papers, and been included in the list of World's Top 2% Scientists. His honors include the Second Prize in Guangdong Provincial Science and Technology Progress, the First Prize in the Guangdong Computer Society Science and Technology Award, and gold medals as the first instructor for teams at the 6th and 7th China International Internet Plus College Student Innovation and Entrepreneurship Competitions. He has also made nearly 30 academic visits to prestigious universities in the United States, Europe, and Singapore.
Education：
1999: Nanjing University, Ph.D.
1996: Nanjing University, Master's
1993: Nanjing University, Bachelor's
Work Experience：
2023.07 - Present: Vice President, South China University of Technology
2022.11 - 2023.11: Executive Vice Dean, Graduate School, South China University of Technology
2022.10 - Present: Deputy Director, Ministry of Education Engineering Research Center of Human Body Data Perception
2021.11 - Present: Director, Guangdong Provincial Key Laboratory of Multimodal Big Data Intelligent Analysis
2013.12 - Present: Director, Guangdong Engineering Technology Research Center for Big Data Analysis and Processing
2020.05 - 2022.11: Vice Dean, Graduate School, South China University of Technology
2018.01 - 2020.05: Vice Dean (Seconded), Graduate School, South China University of Technology
2021.12 - 2022.10: Dean, School of Software, South China University of Technology
2007.06 - 2017.08: Vice Dean, School of Computer Science, South China University of Technology
Course：
Cryptography and Security Protocols
Visual Computing
IT Frontier Technologies
Projects：
National-Level Projects
1. National Key R&D Program “Sino-French Joint Laboratory for Image Processing and Communication” (Principal Investigator), 2024.07-2027.06.
2. National Foreign Experts Bureau’s High-end Foreign Experts Introduction Plan Project “Research on Key Technologies of Image Processing and Quality Evaluation” (Principal Investigator), 2023.1-2024.12.
3. National Natural Science Foundation of China (NSFC) project “Research on Key Technologies of Algorithm Unfolding Network for Image Non-Blind Deblurring” (Principal Investigator), 2025.1-2028.12.
4. NSFC Project “Research on Key Theories and Algorithms for Face Detection under Poor Illumination” (Principal Investigator), 2021.1-2024.12.
5. Major Project of National Social Science Fund “Research on Data Empowerment to Incentivize Manufacturing Enterprises’ Innovation-Driven Development and Countermeasures” (Participant), 2020.5-2023.4.
6. NSFC-Guangdong Provincial Government Big Data Science Research Center Project “Efficient Representation, Deep Analysis, and Comprehensive Utilization of Video Big Data” (Participant, Sub-project Leader), 2017.1-2020.12.
7. NSFC Project “Research on Key Theories and Algorithms for Image and Video Rain Removal” (Principal Investigator), 2017.1-2020.12.
8. NSFC Overseas and Hong Kong/Macau Scholars Collaboration Research Fund “Research on Foundational Issues of Machine Vision for Smartphones” (Principal Investigator), 2016.01-2017.12.
9. NSFC Project “Research on Key Technologies for Dynamic Texture Video Recognition” (Principal Investigator), 2013.1-2016.12.
10. NSFC International (Regional) Cooperation and Exchange Project “Invariant Features of Image and Video and Their Application in Multimedia Quality Assessment” (Principal Investigator), 2012.02-2012.12.
11. NSFC Project “Research on Local Invariant Features and Models of Images” (Principal Investigator), 2011.1-2013.12.
12. NSFC Project “Double-Lipschitz Invariant Texture Features and Their Applications” (Principal Investigator), 2007.1-2009.12.
13. National Science and Technology Support Program Trustworthy Internet sub-project “Key Technologies for Real Address Resolution in the Next-Generation Trustworthy Internet” (Participant), 2008.6-2011.9.
14. National Development and Reform Commission-China Next-Generation Internet Commercialization and Equipment Industrialization Project “IPv6 Technology Upgrade and Application Demonstration for Educational and Research Infrastructure” (Participant), 2008.12-2012.7.
15. National 973 Program “Fundamental Research on Next-Generation Internet Architecture and Protocols” sub-project “Research on Network Management and Security Based on Autonomous Governance Models” (Participant), 2009-2013.
16. National 973 Program “Research on Trustworthy Internet Security Architecture and Security Monitoring Theory” (Participant), 2004.10-2008.10.
17. National 863 Program “Research on Traffic Analysis, Modeling, and Control of New Network Services” (Participant), 2005.8-2006.8.
18. NSFC Project “Analysis and Research of Large-Scale High-Speed Network Behavior” (Participant), 2002.1-2005.12.
19. National 863 Program “Network Operation Monitoring and Assurance System for High-Speed IP Networks” (Participant), 1999.10-2000.12.
20. National 863 Program “IPv6 Demonstration System” (Participant), 1999.10-2000.12.
21. National 863 Program “Network Operation Management System” (Participant), 1998.12-2000.12.
Provincial-Level Projects
22. Guangdong Provincial Key R&D Program “Research and Application of Key Technologies for Cross-Domain Collaborative and Trusted Digital Government Large Models” (Participant), 2025.01-2027.12.
23. Guangzhou Science and Technology Plan Project - Key R&D Program “Research and Application of Perception and Cognitive Intelligence Key Technologies for Smart Cities” (Municipal), 2024.01-2026.12 (Participant).
24. Guangdong Science and Technology Plan Project - International S&T Cooperation “Research and Application of Key Technologies for Image and Video Enhancement and Cognition” (Principal Investigator), 2020.01-2021.12.
25. Guangzhou Major Industrial Technology Attack Plan Project - Modern Industrial Technology Topic “R&D and Industrialization of Smart Financial Service Robots” (Principal Investigator), 2017.10-2020.9.
26. Guangdong Natural Science Foundation - Major Basic Research Cultivation Project “Key Theories and Applications of Visual Big Data” (Principal Investigator), 2016.6-2020.6.
27. Guangdong Applied Technology R&D Special Project “Big Data Analysis Platform for Cultural Consumption E-commerce Services and Demonstration Applications” (Principal Investigator), 2016.01-2018.12.
28. Guangdong Collaborative Innovation and Platform Construction Special Project “Guangdong Engineering Technology Research Center for Big Data Analysis and Processing” (Principal Investigator), 2015.1-2017.12.
29. Guangdong Provincial Department of Science and Technology “Guangdong Engineering Technology Research Center for Big Data Analysis and Processing” (Principal Investigator), 2014.1-2016.12.
30. Guangdong Higher Education High-Level Talent Project “Invariant Features and Applications of Image and Video” (Principal Investigator), 2014.1-2016.12.
31. Guangdong Provincial Department of Education Science and Technology Innovation Project “Invariant Features and Applications of Texture Video” (Principal Investigator), 2014.1-2015.12.
32. 2009 Ministry of Education “New Century Excellent Talent Support Program” (Principal Investigator), 2010.1-2012.12.
33. 2015 SCUT Central University Fundamental Research Funds Project, Category II Cultivation “Research on Key Technologies of Object Recognition” (Principal Investigator), 2015.1-2017.6.
34. 2013 SCUT Central University Fundamental Research Funds Rolling Project with Autonomous Topics “Invariant Features and Applications of Texture Video” (Principal Investigator), 2013.01-2014.12.
35. 2009 SCUT Central University Fundamental Research Funds Key Project with Autonomous Topics “Research on Image Invariant Features” (Principal Investigator), 2010.01-2012.12.
36. 2019 SCUT Central University Fundamental Research Funds Major Industry-University-Research Cooperation Support Project for Achievement Transformation “R&D and Application of Key Technologies for Intelligent Calligraphy Evaluation” (Participant), 2019.1-2020.12.
37. Guangdong University Engineering Technology Research Center for Intelligent Information Processing and Security of Big Data (Participant), 2014.1-2016.12.
38. Guangdong Provincial Key Laboratory of Computer Networks Project (Participant), 2002.10-2005.12.
39. Guangdong Provincial Department of Education Project Key Laboratory of Computer Networks (Participant), 2001.3-2004.12.
40. Guangdong Provincial Major Science and Technology Project E-commerce Application Demonstration Project - E-commerce Customer Management and Intelligent Analysis System (Participant), 2000.12-2001.12.
University-Level Projects
41. SCUT Research Project “Research and Development of Embedded Systems for IPv6 Routers” (Principal Investigator), 2003.1-2004.6.
42. SCUT Natural Science Foundation Project “Research on Large-Scale Network Behavior” (Principal Investigator), 2000.1-2001.12.
Industry-Funded Projects
43. “Research and Application of Key Technologies for Smart City” (Principal Investigator), from Guangdong Provincial Laboratory of Artificial Intelligence and Digital Economy, 2022.06.01-2023.05.31.
44. “Key Technologies for Customer Behavior Big Data Mining Computing (SCUT-Boshizhizhi Technology Big Data Joint Laboratory)” (Principal Investigator), from Shenzhen Boshizhizhi Technology Co., Ltd., 2018.12-2022.11.
45. “E-commerce FashionAI Key Technology Research (SCUT-Vipshop Intelligent E-commerce Joint Laboratory)” (Principal Investigator), from Guangzhou Vipshop Research Institute Co., Ltd., 2018.8-2022.7.
46. “Research on Key Technologies for Smart Education (SCUT-Weidu Technology Smart Education Joint Laboratory)” (Principal Investigator), from Guangzhou Weidu Computer Technology Co., Ltd., 2018.5-2021.5.
47. “Intelligent Analysis and Application of Government Big Data (SCUT-Guangzhou Hengxin Information Technology Co., Ltd. Government Big Data Intelligent Analysis and Application Joint Laboratory)” (Principal Investigator), from Guangzhou Hengxin Information Technology Co., Ltd., 2016.12-2021.12.
48. “Smart City Big Data Project (SCUT-Dingyi Smart City Big Data Joint Laboratory)” (Principal Investigator), from Zhuhai Dingyi Thinking Internet Technology Co., Ltd., 2015.12-2020.12.
49. “Design and Development of GPU-based Visual Data Processing Platform (SCUT-HiScene Information Technology Co., Ltd. Visual Big Data R&D Center)” (Principal Investigator), from HiScene (Shanghai) Information Technology Co., Ltd., 2015.6-2017.6.
50. “Design and Development of a Translation Management System Based on GlobalSight” (Principal Investigator), from Guangzhou Jiaquan Intellectual Property Law Firm, 2015.5-2016.5.
51. “Blue Shield Security Big Data Platform Prototype Project” (Principal Investigator), from Blue Shield Information Security Technology Co., Ltd., 2013.08-2013.11.
52. “Mobile Security and Virtualization Technology” (Principal Investigator), from Blue Shield Information Security Technology Co., Ltd., 2012.09-2013.07.
Publications：
2025
1. Y. Huang, X. Lu, Y. Quan, Y. Xu, and H. Ji. Image shadow removal via multi-scale deep Retinex decomposition. Pattern Recognition (JCR Q1 Journal), 2025.
2. Q. Tao, C. Liu, Y. Xia, Y. Xu, L. Li. Adaptive multi-graph contrastive learning for bundle recommendation. Neural Networks (JCR Q1 Journal), 2025.
3. Y. Huang, H.X. Luo, Y. Xu, X.B. Meng. A Temporally-aware Noise-informed Invertible Network for Progressive Video Denoising. Image and Vision Computing (JCR Q1 Journal), 2025.
4. Y. Huang, X.S. Liao, J.X. Liang, Y.H. Quan, B.X. Shi, and Y. Xu. Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models. Proceedings of the AAAI Conference on Artificial Intelligence (CCF-A Conference), 2025.
5. W. Xue, C. Ding, R. Xu, S. Wu and Y. Xu. RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting. Proceedings of the AAAI Conference on Artificial Intelligence (CCF-A Conference), 2025.
6. S.H. Pan, Y. Xu, R.T. Xu, Z.H. Zhou, S. Wu, Z.L. Yu. Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight. Proceedings of the AAAI Conference on Artificial Intelligence (CCF-A Conference), 2025.
7. Z. Ouyang, W. Xue, T. Chen, Y. Huang, S. Wu, Y. Xu, P. Le Callet, D. Wu. InpaintFormer: Prompt-guided High-Quality Face Inpainting with Mask-Aware Self-Attention. Proceedings of IEEE International Conference on Multimedia & Expo (CCF-B Conference), 2025.
8. Y. Tang, Y. Xu, R. Xu, Y. Huang, S. Wu, P. Le Callet. Text to Trajectory: Enhancing and Evaluating LLMs for Embodied Task Planning. Proceedings of IEEE International Conference on Multimedia & Expo (CCF-B Conference), 2025.
9. S. Pan, Y. Xu, R. Xu, S. Wu, Z. Zhou, Z. Yu, P. Le Callet. Rethinking 3D Robotic Perception: Elastic Voxel Representation with Splatting Distillation. Proceedings of IEEE International Conference on Multimedia & Expo (CCF-B Conference), 2025.
10. Y. Wang, S. Wu, Y. Xu, Yan Huang, P. Le Callet. Adaptive Illumination Transfer Network for Shadow Removal. Proceedings of IEEE International Conference on Multimedia & Expo (CCF-B Conference), 2025.
11. J. Wang, Y. Huang, Y. Zhang, T. Chen, S. Wu, Y. Xu, P. Le Callet. SemanticLoom: Category-aware Dynamic Fusion for Multi-class Few-shot Image Synthesis. Proceedings of IEEE International Conference on Multimedia & Expo (CCF-B Conference), 2025.
12. Z. Dai, C. Ding, T. Chen, S. Wu, Y. Xu, R. Liang, T. Xu, Y. Li, D. Wu. IP-KGQA: Intent-Aware Prompt Learning for Knowledge Graph Question Answering. Proceedings of IEEE International Conference on Multimedia & Expo (CCF-B Conference), 2025.
13. L. Xia, M. Xie, Y. Xu, C. Huang. MixRec: Heterogeneous Graph Collaborative Filtering. In Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining (CCF-B Conference), 2025.
14. X. Li, C. Shi, Y. Xu, J. Huang. LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks. Proceedings of International Conference on Computational Linguistics (CCF-B Conference), 2025.
2024
15. Y. Huang, X.S. Liao, J.X. Liang, B.X. Shi, Y. Xu, LE Callet, Patrick. Detail-Preserving Diffusion Models for Low-Light Image Enhancement. IEEE Transactions on Circuits and Systems for Video Technology (JCR Q1 Journal), 2024.
16. R. Xu, Y. Xu, X. Yang, H. Huang, Z. Lei, Y. Quan. A Wavelet-Analysis-Model Inspired Deep Neural Network for Image Denoising. Applied Mathematical Modelling (JCR Q1 Journal), 2024.
17. Z. Chen, Y. Quan, R. Xu, L. Jin, Y. Xu. Enhancing Texture Representation with Deep Tracing Pattern Encoding. Pattern Recognition (JCR Q1 Journal), 2024.
18. Y. Xu, Z.Y. Wei, R.T. Xu, Z.H. Zhou, Z.L Yu. Spatial Adaptive Filter Network With Scale-Sharing Convolution for Image Demoiréing. IEEE Signal Processing Letters (JCR Q2 Journal), 2024.
19. Y. Xu, S.H. Pan, R.T. Xu, H.B. Ling. View-aligned pixel-level feature aggregation for 3D shape classification. Computer Vision and Image Understanding (JCR Q2 Journal), 2024.
20. 麻斯亮，许勇. 叠层模型驱动的书法文字识别方法研究. 自动化学报 (CCF-A Chinese Journal), 2024.
21. 李想，麻斯亮，施晨，龚芷仪，黄俊，许勇. 融合对比学习与轻量化图网络在逻辑推理应用. 小型微型计算机系统 (CCF-B Chinese Journal), 2024.
22. Y.H. Quan, X.H. Tan, Y. Huang, Y. Xu, H. Ji. Enhancing Underwater Images via Asymmetric Multi-Scale Invertible Networks. ACM Multimedia (CCF-A Conference), 2024.
23. W. Xue, L. Jiang, L. Xie, S. Wu, Y. Xu, and H. Wong. VRetouchEr: learning cross-frame feature interdependence with imperfection flow for face retouching in videos. IEEE Conference on Computer Vision and Pattern Recognition (CCF-A Conference), 2024.
24. F. Xu, R. Li, S. Wu, Y. Xu, and H. Wong. Text-conditional attribute alignment across latent spaces for 3D controllable face image synthesis. IEEE Conference on Computer Vision and Pattern Recognition (CCF-A Conference), 2024.
25. Z.H. Li, L.H. Xia, Y. Xu, C. Huang. FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. International Conference on Machine Learning (CCF-A Conference), 2024.
26. Z.H. Li, L.H. Xia, J.B. Tang, Y. Xu, L. Shi, L. Xia, D.W. Yin and C. Huang. UrbanGPT: Spatio-Temporal Large Language Models. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (CCF-A Conference), 2024.
27. L.H. Xia, Y.Z. Shao, C. Huang, Y. Xu, H.C. Xu, and J. Pei. Disentangled Graph Social Recommendation. IEEE International Conference on Data Engineering (CCF-A Conference), 2024.
28. S.W. Liu, Y. Xu, S.L. Ma. Hypergraph-Enhanced Self-Supervised Robust Graph Learning for Social Recommendation. IEEE International Conference on Acoustics, Speech and Signal Processing (CCF-B Conference), 2024.
29. X. Li, Z.Y. Li, C. Shi, Y. Xu, Q. Du, M.K. Tan, J. Huang. AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (CCF-B Conference), 2024.
2023
30. Y. Quan, X. Tan, Y. Huang, Y. Xu, and H. Ji. Image desnowing via deep invertible separation. IEEE Transactions on Circuits and Systems for Video Technology (JCR Q1 Journal), 2023.
31. M. Chen, Y. Quan, Y. Xu, and H. Ji. Self-supervised blind image deconvolution via deep generative ensemble learning. IEEE Transactions on Circuits and Systems for Video Technology (JCR Q1 Journal), 2023.
32. L.H. Xia, C. Huang, Y. Xu, and J. Pei. Multi-Behavior Sequential Recommendation with Temporal Graph Transformer. IEEE Transactions on Knowledge and Data Engineering (JCR Q1 Journal), 2023.
33. 麻斯亮，许勇. 最小点距离的边界框回归损失函数及其应用. 小型微型计算机系统 (CCF-B Chinese Journal), 2023.
34. J. Liang, Y. Yang, B. Li, P. Duan, Y. Xu, B. Shi. Coherent Event Guided Low-Light Video Enhancement. International Conference on Computer Vision (CCF-A Conference), 2023.
35. L.H. Xia, C. Huang, J. Shi, and Y. Xu. Graph-less Collaborative Filtering. International World Wide Web Conference (CCF-A Conference), 2023.
36. C.L. Li, L.H. Xia, X.B. Ren, Y.W. Ye, Y. Xu, C. Huang. Graph Transformer for Recommendation. ACM Special Interest Group on Information Retrieval (CCF-A Conference), 2023.
37. Z.H. Li, L.H. Xia, Y. Xu, and C. Huang. GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. Advances in Neural Information Processing Systems (CCF-A Conference), 2023.
38. M.R. Chen, C. Huang, L.H. Xia, W. Wei, Y. Xu, and R.H. Luo. Heterogeneous Graph Contrastive Learning for Recommendation. International Conference on Web Search and Data Mining (CCF-B Conference), 2023.
2022
39. L.H. Xia, C. Huang, Y. Xu, P. Dai, and L.F. Bo. Multi-Behavior Graph Neural Networks for Recommender System. IEEE Transactions on Neural Networks and Learning Systems (JCR Q1 Journal), 2022.
40. J.X. Liang, Y.H. Quan, Y. Xu, B.X. Shi, and H. Ji. Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors. IEEE Transactions on Circuits and Systems for Video Technology (JCR Q1 Journal), 2022.
41. Y. Xu, B.L. Liu, Y.H. Quan, and H. Ji. Unsupervised Deep Background Matting Using Deep Matte Prior. IEEE Transactions on Circuits and Systems for Video Technology (JCR Q1 Journal), 2022.
42. T.Y. Chen, S. Wu, X.H. Yang, Y. Xu, and H.S. Wong. Semantic Regularized Class- Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis. IEEE Transactions on Multimedia (JCR Q1 Journal), 2022.
43. S.H. Lin, W.H. Wu, S. Wu, Y. Xu, and H.S Wong. Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection. IEEE Transactions on Multimedia (JCR Q1 Journal), 2022.
44. Y.H. Quan, P.K. Lin, Y. Xu, 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), 2022.
45. J.X. Liang, J.W. Wang, Y.H. Quan, T.Y. Chen, J.Y. Liu, H.B. Ling, and Y. Xu. Recurrent Exposure Generation for Low-Light Face Detection. IEEE Transactions on Multimedia (JCR Q1 Journal), 2022.
46. L.Y. Liang, L.W. Jin, and Y. Xu. PDE Learning of Filtering and Propagation for Task-Aware Facial Intrinsic Image Analysis. IEEE Transactions on Cybernetics (JCR Q1 Journal), 2022.
47. Z.H. Zhou, Y. Xu, R.T. Xu, Y.H. Quan. No-Reference Image Quality Assessment Using Dynamic Complex-Valued Neural Model. ACM Multimedia (CCF-A Conference), 2022.
48. L.H. Xia, C. Huang, Y. Xu, J.S. Zhao, D.W. Yin, and J. Huang. Hypergraph Contrastive Collaborative Filtering. ACM Special Interest Group on Information Retrieval (CCF-A Conference), 2022.
49. T.Y. Chen, Y.F. Zhang, X.Y. Huo, S. Wu, Y. Xu, and H.S. Wong. SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. IEEE Conference on Computer Vision and Pattern Recognition (CCF-A Conference), 2022.
50. X.H. Yang, Y.W. Wang, K. Chen, Yong Xu, and Y.H. Tian. Fine-Grained Object Classification via Self-Supervised Pose Alignment. IEEE Conference on Computer Vision and Pattern Recognition (CCF-A Conference), 2022.
51. Z.H. Li, C. Huang, H. L. Xia, Y. Xu, and J. Pei. Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. IEEE International Conference on Data Engineering (CCF-A Conference), 2022.
52. Z.H. Zhou, Y. Xu, Y.H. Quan, R.T. Xu. Deep Blind Image Quality Assessment Using Dual-Order Statistics. Proceedings of IEEE International Conference on Multimedia & Expo (CCF-B Conference), 2022.
53. W. Wei, C. Huang, L.H. Xia, Y. Xu, J.S. Zhao, D.W. Yin. Contrastive Meta Learning with Behavior Multiplicity for Recommendation. International Conference on Web Search and Data Mining (CCF-B Conference), 2022.
2021
54. Y. Huang, Z.H. Zhou, X.Y. Sai, Y. Xu, and Y.X. Zou. Hierarchical Hashing-based Multi-source Image Retrieval Method for Image Denoising. Applied Soft Computing (ASOC, JCR Q1 Journal), 2021.
55. Y. Xu, H.Y. Zou, Y. Huang, L.W. Jin, and H.B. Ling. Super-resolving Blurry Face Images with Identity Preservation. Pattern Recognition Letters (PRL, JCR Q2 Journal), 2021.
56. Y. Xu, C.D. Zheng, R.T. Xu, Y. H. Quan, and H.B. Ling. Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning. IEEE Transactions on Image Processing (JCR Q1 Journal), 2021.
57. R.T. Xu, Y. Xu and Y.H. Quan. Factorized Tensor Dictionary Learning for Visual Tensor Data Completion. IEEE Transactions on Multimedia (JCR Q1 Journal), 2021.
58. Y. Xu, Y. Zhu, Y.H. Quan, and H. Ji. Attentive Deep Network for Blind Motion Deblurring on Dynamic Scenes. Computer Vision and Image Understanding (CVIU, JCR Q2 Journal), 2021.
59. Y.H. Quan, Y.X. Chen, Y.Z. Shao, H. Teng, Y. Xu, and H. Ji. Image Denoising Using Complex-Valued Deep CNN. Pattern Recognition (JCR Q1 Journal), 2021.
60. H. Fan, H.X. Bai, L.T. Lin, F. Yang, P. Chu, G. Deng, S.J. Yu, Harshit, M.Z. Huang, J.H. Liu, Yong Xu, C.Y. Liao, L. Yuan, and H.B. Ling. LaSOT: A High-quality Large-scale Single Object Tracking Benchmark. International Journal of Computer Vision (JCR Q1 Journal), 2021.
61. R.T. Xu, Y. Xu and Y.H. Quan. Structure-Texture Image Decomposition Using Discriminative Patch Recurrence. IEEE Transactions on Image Processing (JCR Q1 Journal), 2021.
62. Y. Xu, F. Li, Z.L Chen, J.X. Liang, Y.H. Quan. Encoding Spatial Distribution of Convolutional Features for Texture Representation. Advances in Neural Information Processing Systems (CCF-A Conference), 2021.
63. G.Y. Li, Y. Liu, X.W. Wei, Y. Zhang, S. Wu, Y. Xu, H.S. Wong. Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations. ACM Multimedia (CCF-A Conference), 2021.
64. T.Y. Chen, Y. Liu, Y.F. Zhang, S. Wu, Y. Xu, L.B. Feng, and H.S. Wong. Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. International Conference on Computer Vision (CCF-A Conference), 2021.
65. X.W. Liao, Y. Xu, and H.B. Ling. Hypergraph Neural Networks for Hypergraph Matching. International Conference on Computer Vision (CCF-A Conference), 2021.
66. L.H. Xia, C. Huang, Y. Xu, 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. International Joint Conference on Artificial Intelligence (CCF-A Conference), 2021.
67. L.H. Xia, Y. Xu, C. Huang, P. Dai, and L.F. Bo. Graph Meta Network for Multi-Behavior Recommendation. ACM Special Interest Group on Information Retrieval (CCF-A Conference), 2021.
68. Z.L. Chen, F. Li, Y.H. Quan, Y. Xu, and H. Ji. Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity. IEEE Conference on Computer Vision and Pattern Recognition (CCF-A Conference), 2021.
69. L.H. Xia, C. Huang, Y. Xu, P. Dai, X.Y. Zhang, H.S. Yang, J. Pei, and L.F. Bo. Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence (CCF-A Conference), 2021.
70. C. Huang, H.C. Xu, Y. Xu, 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. Proceedings of the AAAI Conference on Artificial Intelligence (CCF-A Conference), 2021.
71. C. Huang, J.H. Chen, L.H. Xia, Y. Xu, 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. Proceedings of the AAAI Conference on Artificial Intelligence (CCF-A Conference), 2021.
72. X.Y. Zhang, C. Huang, Y. Xu, L.H. Xia, P. Dai, L.F. Bo, J.B. Zhang, and Y. Zheng. Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. Proceedings of the AAAI Conference on Artificial Intelligence (CCF-A Conference), 2021.
73. L.H. Xia, C. Huang, Y. Xu, H.C. Xu, X. Li, and W.G. Zhang. Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. ACM Transactions on Information Systems (JCR Q2 Journal), 2021.
74. X.L. Long, C. Huang, Y. Xu, H.C. Xu, P. Dai, L.H. Xia and L.F. Bo. Social Recommendation with Self-Supervised Metagraph Informax Network. ACM International Conference on Information and Knowledge Management (CCF-B Conference), 2021.
75. C. Wang, Y. Huang, Y.X. Zou, Y. Xu. FWB-NET: Front White Balance Network for Color Shift Correction in Single Image Dehazing via Atmospheric Light Estimation. IEEE International Conference on Acoustics, Speech and Signal Processing (CCF-B Conference), 2021.
76. B.X. Yu, Y. Xu, Y. Huang, S. Yang, and J.Y. Liu. Mask-guided GAN for Robust Text Editing in the Scene. Neurocomputing (JCR Q1 Journal), 2021.
77. L.H. Xia, C. Huang, Y. Xu, P. Dai, M.Y. Lu, and L.F. Bo. Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. IEEE International Conference on Data Engineering (CCF-A Conference), 2021.
Awards：
1. National Excellent Teacher Award Program for Computer Science Professionals in Universities , December 2023
2. Gold Award in the Industry Proposition Track of the 7th China International Internet Plus College Student Innovation and Entrepreneurship Competition (First Instructor) , October 2021
3. Gold Award in the International Track of the 6th China International Internet Plus College Student Innovation and Entrepreneurship Competition (First Instructor) , November 2020
4. Second Prize in Guangdong Provincial Science and Technology Progress for Government Service Platform and Application Based on Virtual Robots , awarded by the Department of Science and Technology of Guangdong Province , February 2020
5. Guangdong Special Support Program Teaching Master , 2019
6. Advanced Individual in Social Service Work , awarded by the Guangdong Provincial Committee of China Zhi Gong Party , 2019
7. 2019 Outstanding Achievement Award for Participation in and Discussion of State Affairs , awarded by the Guangdong Provincial Committee of China Zhi Gong Party , 2019
8. Teaching Excellence Award , awarded by South China University of Technology , 2019
9. First Prize in Guangdong Computer Society Science and Technology Award for Intelligent Government Service Platform and Application Based on Virtual Robots , awarded by Guangdong Computer Society , December 2018
10. Second Prize in Guangdong Computer Society Outstanding Paper Award for Classifying Dynamic Textures via Spatiotemporal Fractal Analysis , awarded by Guangdong Computer Society , December 2018
11. First Prize (Instructor) in the Hua Zi Cup Guangdong University Student Computer Works Competition & Pan-Pearl River Delta+ University Student Computer Works Competition Guangdong Regional Selection (Undergraduate Group) for Research and Project Implementation of Face Gender Classification Based on Deep Learning , June 2018
12. First Prize (Instructor) in the Guangdong University Student Computer Works Competition & Pan-Pearl River Delta+ University Student Computer Works Competition Guangdong Regional Selection (Undergraduate Group) for Wine Label Recognition System , June 2017
13. First Prize in Guangdong Computer Society Outstanding Paper Award for Fractal Analysis for Reduced Reference Image Quality Assessment , awarded by Guangdong Computer Society , December 2016
14. First Prize in Guangdong Computer Society Outstanding Paper Award for Removing Rain from a Single Image via Discriminative Sparse Coding , awarded by Guangdong Computer Society , December 2016
15. First Prize in Guangdong Computer Society Science and Technology Award for Research and Application of Key Theories of Visual Computing , awarded by Guangdong Computer Society , December 2015
16. Graduate Teaching Excellence Award , awarded by South China University of Technology , 2014
17. Graduate Model Course Award , awarded by South China University of Technology , 2014
18. Special Prize in the 2012 China Blasting Association Science and Technology Progress Award for Research on Remote Vibration Measurement Systems and Technical Equipment , awarded by the China Blasting Association , 2012
19. My Favorite Supervisor , awarded by South China University of Technology , 2011
20. Director of the 5th Board of Directors , awarded by the Western Returned Scholars Association of Guangzhou , 2011
21. Computer Network Security selected as a high-quality open video course , awarded by the Ministry of Education , 2010
22. Member of the Asian Games Government Network Information Security Expert Group , 2010
23. Member of the First Professional Degree Graduate Education Expert Committee , awarded by South China University of Technology , 2010
24. Third Prize (Instructor) in the 2009 Pan-Pearl River Delta University Student Computer Works Competition Guangdong Regional Selection , 2009
25. Second Prize (Instructor) in the 2007 Pan-Pearl River Delta University Student Computer Works Competition Guangdong Regional Selection , 2007
26. Second Prize in the Young Teacher Graduate Classroom Teaching Competition , awarded by South China University of Technology , 2007-2008
27. Second Prize in Guangdong Provincial Science and Technology Progress for Matrix Intelligent Mail Processing System , awarded by the Department of Science and Technology of Guangdong Province , 2005
