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)
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：
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. 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.
7. 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).
8. 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.
9. “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.
Publications：
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.
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.
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.
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.
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. Advanced Individual in Social Service Work , awarded by the Guangdong Provincial Committee of China Zhi Gong Party , 2019
