Personal Profile
Liang Lingyu is an Associate Professor and Master's Supervisor at South China University of Technology. His current main research directions are computer vision and machine learning. In 2016, he visited the laboratory of Professor Jiaya Jia (IEEE Fellow, former Distinguished Scientist at Tencent) in the Department of Computer Science and Engineering at The Chinese University of Hong Kong as an Honorary Postdoctoral Research Fellow for a one-year academic exchange. He has published nearly 30 SCI/EI-indexed papers, including first-author or corresponding-author publications in top-tier international journals such as IEEE Transactions on Cybernetics (TCYB), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Affective Computing (TAFFC), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Pattern Recognition (PR), and premier international conferences such as NeurIPS. He holds multiple granted and published patents.
He has successively served as principal investigator on more than ten projects, including the National Natural Science Foundation of China, Guangdong Provincial Natural Science Foundation, CAAI-Huawei MindSpore Academic Incentive Fund, and SenseTime Young Researcher Fund. He has also participated in multiple national and provincial-level projects, including General Programs of the National Natural Science Foundation of China and the National Key Technology R&D Program of the Ministry of Science and Technology. He has been invited to deliver academic presentations at multiple international conferences, including NeurIPS, CVPR, Pacific Graphics, ICASSP, and ICIP. He serves as a reviewer for numerous international and domestic journals and conferences, including IEEE TMM, IEEE TAFFC, IEEE TSMC-Systems, IEEE CGA, Computer Graphics Forum (CGF), and Neurocomputing. As a domain expert, he has been selected into the Guangdong Provincial High-Level Talent Evaluation Expert Database.
In teaching, he is the primary instructor for the graduate courses “Deep Learning” and “Machine Learning,” and contributes to the interdisciplinary graduate course “Frontiers in Artificial Intelligence and Digital Design.” He teaches the undergraduate course “Data Structures” and the AI micro-specialization course “Deep Learning.” He was awarded the Second Prize of Guangdong Provincial Teaching Achievement Award and the University-Level Special Prize for Teaching Achievement. He has guided students to win multiple competition awards, such as the Gold Award in the Industry Track of the National Finals of the China International “Internet+” Innovation and Entrepreneurship Competition and the Special Prize in the Guangdong Provincial “Challenge Cup” Competition. He received the Nomination Award for the “Moral Education and Talent Cultivation Award” from the School of Electronic and Information Engineering in 2018, the Outstanding Advisor Award at the 18th Asian Design Academic Year Awards in 2020, and the “Intelligent Base” Huawei Cloud & Computing Pioneer Educator Award in 2021. He actively supports undergraduate and graduate students in securing internships at well-known enterprises such as Huawei, Alibaba, iFlytek, SenseTime, Tencent, and Hikvision.
Education Background
2009-2014: South China University of Technology, Doctor of Philosophy in Information and Communication Engineering, Advisor: Professor Lianwen Jin
2005-2009: South China University of Technology, Bachelor of Engineering in Information Engineering
Work Experience
2018-Present: South China University of Technology, Associate Professor, Master's Supervisor
2016-2018: South China University of Technology, Lecturer / Postdoctoral Associate Research Fellow, Master's Supervisor
2016-2017: The Chinese University of Hong Kong, Honorary Postdoctoral Research Fellow , Advisor: Professor Jiaya Jia
2014-2016: School of Computer Science and Engineering, South China University of Technology, Type-II Postdoctoral Fellow and Assistant Researcher, Advisors: Professor Yong Xu and Professor Lianwen Jin
Research Projects
1.Principal Investigator, National Natural Science Foundation of China (Youth Science Fund Project): Content-Aware Editing Operator-Based Photorealistic Rendering of Composite Facial Images
2.Principal Investigator, Guangdong Provincial Natural Science Foundation (General Program): Adaptive Image Appearance Analysis and Processing Based on a Semi-Supervised Learning Framework
3.Principal Investigator, CAAI-Huawei MindSpore Academic Incentive Fund (Phase I): Appearance Analysis Based on Graph Operator Learning and Its Applications in Visual-Textual Object Recognition and Editing
4.Principal Investigator, CAAI-Huawei MindSpore Academic Incentive Fund (Phase II): Construction of Interpretable Graph Operators and Their Applications in Image Enhancement and Recognition
5.Principal Investigator, SenseTime Young Researcher Fund: Arbitrary-Shaped Text Recognition in Internet Videos
6.Principal Investigator, Guangzhou Science and Technology Program: Adaptive Image Appearance Analysis and Generation Based on Graph Neural Networks
7.Principal Investigator, Open Research Fund of a Key Laboratory of the Ministry of Education
8.Principal Investigator, Open Research Fund of a Key Laboratory of Fujian Province
9.Principal Investigator, China Postdoctoral Science Foundation (General Program): Research on Composite Adaptive Photorealistic Facial Rendering
10.Principal Investigator, Fundamental Research Funds for the Central Universities: Adaptive Image Appearance Analysis and Editing Based on Semi-Supervised Learning
11.Principal Investigator, Fundamental Research Funds for the Central Universities: Adaptive Intrinsic Facial Image Analysis Based on PDE Learning and Its Applications
Courses Taught
Undergraduate Courses: Data Structures; AI Micro-Specialization Course: Deep Learning
Graduate Courses: Deep Learning, Machine Learning, Frontiers in Artificial Intelligence and Digital Design
Principal Investigator, South China University of Technology-Huawei “Intelligent Base” Industry-Education Integration and Collaborative Talent Development Program: Deep Learning Curriculum Development Project
Flagship Achievements
Representative Journal Publications (all SCI-indexed)
[J10] First Author>. PDE Learning of Filtering and Propagation for Task-Aware Facial Intrinsic Image Analysis. IEEE Transactions on Cybernetics (TCYB), 2020. (JCR Q1, Impact Factor: 11.079, DOI: 10.1109/TCYB.2020.2989610)
[J9] Corresponding Author>. SCUT-HCCDoc: A New Benchmark Dataset of Handwritten Chinese Text in Unconstrained Camera-Captured Documents. Pattern Recognition (PR), 2020. (JCR Q1, Impact Factor: 7.196)
[J8] Corresponding Author> (co-supervised with School of Architecture, SCUT). SCUT-AutoALP: A Diverse Benchmark Dataset for Automatic Architectural Layout Parsing. IEICE Transactions on Information and Systems, 2020.
[J7] Third Author>. Deep LSAC for Fine-Grained Recognition. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020. (JCR Q1, Impact Factor: 8.793)
[J6] Co-First Author>. Regression Guided by Relative Ranking Using Convolutional Neural Network (R3 CNN) for Facial Beauty Prediction. IEEE Transactions on Affective Computing (TAFFC), 2019. (JCR Q1, Impact Factor: 7.512, DOI: 10.1109/TAFFC.2019.2933523)
[J5] First Author>. Adaptive Label Propagation for Facial Appearance Transfer. IEEE Transactions on Multimedia (TMM), vol. 21, no. 12, pp. 3068-3082, 2019. (JCR Q1, Impact Factor: 6.051)
[J4] Corresponding Author>, et al. Privacy-Preserving Incentive Mechanisms for Mobile Crowdsensing. IEEE Pervasive Computing, vol. 17, no. 3, pp. 47-57, 2018. (JCR Q1, Impact Factor: 4.418)
[J3] First Author>. Edge-Aware Label Propagation for Mobile Facial Enhancement on the Cloud. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 27, no. 1, pp. 125-138, 2017. (JCR Q1, Impact Factor: 4.133)
[J2] First Author>. Facial Skin Beautification Using Adaptive Region-Aware Masks. IEEE Transactions on Cybernetics (TCYB), vol. 44, no. 12, pp. 2600-2612, Dec. 2014. (JCR Q1)
[J1] First Author>. Multiple Facial Image Editing Using Edge-Aware PDE Learning. Computer Graphics Forum (CGF), vol. 34, no. 7, pp. 203-212, Oct. 2015. (JCR Q1)
Representative Conference Publications (all EI-indexed)
[C7] Corresponding Author>. Fourier Contour Embedding for Arbitrary-Shaped Text Detection. CVPR, 2021. (Top-tier international conference in AI). The open-source code of this work has been integrated into MMOCR, an open-source OCR toolbox developed by SenseTime (a unicorn company).
[C6] First Author>. Adaptive GNN for Image Analysis and Editing. NeurIPS, pp. 3638-3649, 2019. (Top-tier international conference in AI).This work was reported by the official platform of the Journal of Image and Graphics (China) and the Peng Cheng Laboratory website.
[C5] Second Author>. Attribute-Aware Convolutional Neural Network for Facial Beauty Prediction. IJCAI, pp. 847-853, 2019. (Top-tier international conference in AI)
[C4] First Author>. SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction. ICPR, pp. 1598-1603, 2018.The dataset and related techniques have been adopted by the National Basketball Association (NBA) for evaluating and promoting players' social appeal.
[C3] First Author>. Content-Aware Face Blending by Label Propagation. PRCV, pp. 173-182, 2018.
[C2] First Author>. Region-Aware Scattering Convolution Networks for Facial Beauty Prediction. IEEE ICIP, pp. 2861-2865, 2017.
[C1] Corresponding Author>. Facial Attractiveness Prediction Using Psychologically Inspired Convolutional Neural Network (PI-CNN). IEEE ICASSP, pp. 1657-1661, 2017.
Selected Open-Source Projects
[P4] FCENet (CVPR 2021): https://github.com/open-mmlab/mmocr
[P3] SCUT-HCCDoc (PR 2020): https://github.com/HCIILAB/SCUT-HCCDoc_Dataset_Release
[P2] SCUT-AutoALP: https://github.com/designfuturelab702/SCUT-AutoALP-Database-Release
[P1] SCUT-FBP5500: https://github.com/HCIILAB/SCUT-FBP5500-Database-Release
