Name：Liu Zhulin
Professional Title / Position：Associate Professor
Research Direction：Continual Learning, Dynamic Neural Network Architectures, Real-time Optimization, Privacy Computing, and their applications in Large Language Models.
Team：Data Science and Artificial Intelligence
Tel：/
Email：liuzhl@scut.edu.cn
Biography：
My research focuses on efficient algorithms for neural networks and multimodal large models. I have published 40 papers in top international journals and conferences, including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, ICCV, ACL, and EMNLP. Among these, 20 are SCI-indexed papers, which have been cited over 2,000 times by other researchers.
I have made original contributions in areas such as broad learning systems. My work has been recognized with several awards, including the Macau Natural Science Award (Second Class), the Artificial Intelligence Industry Association Natural Science Award (First Class), the TNNLS Outstanding Paper Award, and the IEEE Franklin Taylor Memory Award. I have also been listed in the World's Top 2% Scientists by Stanford University, highlighting my annual scientific impact.
In addition, I have led or attended multiple research projects supported by the National Natural Science Foundation of China, the China Postdoctoral Special Funding Program, the Guangdong Provincial General Program, and the Guangzhou Major Special Project on Brain Science and Brain-Like Research. My research has been applied in intelligent analysis of multimodal emotional data, mental state assessment, and brain-inspired computing models, achieving significant results and positive feedback.
Education：
(1) 2011 – 2019: University of Macau, Software Engineering, Ph.D. in Engineering
(2) 2009 – 2011: University of Macau, Mathematics, M.Sc. in Science
(3) 2005 – 2009: Shandong University, Information and Computing Science, B.Sc. in Science
Work Experience：
(1) 2022 – Present: South China University of Technology, Associate Professor
(2) 2019 –2022: South China University of Technology, Assistant Researcher
(3) 2019 – 2022: South China University of Technology, School of Computer Science and Engineering, Postdoctoral Fellow
Course：
Computer Organization and Architecture；Database
Publications：
Selected Publications – 2025:
[1] Yongbin Guo, Shuzhen Li, Zhulin Liu*, Tong Zhang, C. L. Philip Chen, A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models, in Proceedings of the Association for Computational Linguistics (ACL), 2025, pp. 31346–31359, accepted. (EI, CCF Category A Conference)
[2] Zepeng Su, Zhulin Liu*, Zongyan Zhang, Tong Zhang, C. L. Philip Chen, TimeBooth: Disentangled Facial Invariant Representation for Diverse and Personalized Face Aging, in *2025 IEEE/CVF International Conference on Computer Vision (ICCV)*, 2025, accepted. (EI, CCF Category A Conference)
[3] Xin Zhang, Guang-Ze Chen, Shuzhen Li, Zhulin Liu*, C. L. Philip Chen, Tong Zhang, An Orthogonal High-Rank Adaptation for Large Language Models, in The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), accepted. (EI, CCF Category B Conference)
[4] Zepeng Su, Zhulin Liu*, Zongyan Zhang, Tong Zhang, C. L. Philip Chen, DMDM: Photorealistic Face Age Transformation by Dual-Modal Collaborative Attention using Diffusion Models, in 2025 IEEE International Conference on Multimedia and Expo (ICME), 2025, accepted. (EI, CCF Category B Conference)
[5] Gongli Zhang, C. L. Philip Chen, Tong Zhang, Zhulin Liu*, Xiaoman Hu, and Bianna Chen, DiBAN: Dual-drive Broad Attentive Network for Speech Emotion Recognition, in 2025 IEEE International Conference on Multimedia and Expo (ICME), 2025, accepted. (EI, CCF Category B Conference)
Awards：
(1) Second Prize in Natural Science Award, Guangdong Artificial Intelligence Industry Association, 2024.
(2) 2021 IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award, 2021.
(3) Second Prize in Natural Science Award, Macau Science and Technology Development Fund, 2020.
(4) 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Franklin V. Taylor Memorial Award, 2019.
