Jianguo Zhang

Research

Professor Department of Computer Science and Engineering

Jianguo Zhang is a professor in the Department of Computer Science and Engineering at Southern University of Science and Technology (SUSTech). He received his B.Sc. degree in 1996 and M.Sc. degree in 1999, both from Shandong University of Technology (now merged into Shandong University). In 2002, he earned his Ph.D. from the National Laboratory of Pattern Recognition at the institute of Automation, Chinese Academic of Sciences, Beijing, under the supervision of Academician Tieniu Tan.

From 2002 to 2003, he worked as a postdoctoral researcher at Nanyang Technological University in Singapore. From 2003 to 2005, he was a postdoctoral researcher at the Institut national de recherche en informatique et en automatique (INRIA). From 2005 to 2007, he served as a postdoctoral researcher in the Department of Computer Science at Queen Mary University of London, UK. He then joined the Queen's University of Belfast as a Lecturer in 2007, and in 2010 moved to the University of Dundee, where he served as a Senior Lecturer until 2015. From 2015 to 2019, he held the position of Reader and served as Director of International Collaboration in the School of Science and Engineering at the University of Dundee. Since 2019, he has been a Professor in the Department of Computer Science and Engineering at Southern University of Science and Technology. He also holds a joint professorship at the Research Institute of Trustworthy Autonomous Systems (RITAS), and is a Joint Ph.D. Supervisor at Peng Cheng Laboratory.

His primary research interests include: Computer Vision, Multimodal Large-Scale Models, Deep Learning, Medical Image and Information Processing, Artificial Intelligence and so on.

Personal Profile

Office:

Room 313, South Tower, College of Engineering, Southern University of Science and Technology.

Research Interests:

Computer Vision, Multimodal Large-Scale Models, Deep Learning, Medical Image and Information Processing, Artificial Intelligence, etc.

Education Background:

◆ 1999-2002 National Laboratory of Pattern Recognition, at the Institute of Automation, Chinese Academy of Sciences (CAS), Ph.D.

◆ 1996-1999 Shandong University of Technology (now Shandong University), M.Sc.

◆ 1992-1996 Shandong University of Technology (now Shandong University), B.Sc.

Work Experience:

◆ 2019–Present Professor, Department of Computer Science and Engineering, Southern University of Science and Technology (Concurrently: Professor, Research Institute of Trustworthy Autonomous Systems)

◆ 2015-2019 Reader and Director of International Collaboration, School of Science and Engineering (Computer Science), University of Dundee, UK

◆ 2010-2015 Senior Lecturer, School of Science and Engineering (Computer Science), University of Dundee, UK

◆ 2007-2010 Lecturer, School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, UK

◆ 2005-2007 Postdoctoral Researcher, Department of Computer Science, Queen Mary University of London, UK

◆ 2003-2005 Postdoctoral Researcher, Institut national de recherche en informatique et en automatique (INRIA)

◆ 2002-2003 Postdoctoral Researcher, Nanyang Technological University (NTU), Singapore

Honors and Awards:

◆ 2018, "National High-Level Talents"

◆ 2020, "Shenzhen High-Level Overseas Talent" (Peacock Plan) Level A

◆ 2021-Present, Repeatedly listed as "Highly Cited Chinese Researcher" by Elsevier

◆ 2024, Alibaba DAMO Academy "Outstanding Collaborative Project in Education-Technology-Talent Integration"

◆ 2023, Ministry of Education-Huawei "Intelligent Foundation Pillar" Distinguished Teacher Honor

◆ Senior Member, IEEE

◆ 2017, Champion in the MICCAI 2017 Brain WMH Segmentation Challenge (Quebec, Canada)

◆ 2016, Olea Medical-Olea Innovators Contest Prize (Jointly with UCL)

◆ 2015, 1st Place in Two Sub-Challenges (Polyp Localization & Early Barrett’s Cancer Detection) at the Endoscopic Vision Challenge, MICCAI 2015 (Munich, Germany)

◆ 2014, 1st Place in All Tasks (Cell and Specimen Classification) at the "Performance Evaluation of Indirect Immunofluorescence Image Analysis Systems" Competition, ICPR 2014 (Stockholm, Sweden)

◆ 2014, Best Cancer-Related Paper Award, UK Conference on Medical Image Understanding and Analysis

◆ 2014, 2nd Place in Algorithm Performance at the Brain Tumour Digital Pathology Challenge, MICCAI 2014 (Harvard University)

◆ 2008, Best Paper Award, International Machine Vision and Image Processing Conference

◆ 2006, Top Performance in Multiple Tasks (Including Several 1st Places) at the PASCAL Visual Object Classification Challenge (All 10 Tasks)

◆ 2005, Top Performance in Multiple Tasks (Including Several 1st Places) at the 1st PASCAL Visual Object Classification Challenge (All 8 Tasks)

◆ 2002, CAS President’s Scholarship (Outstanding Award)

Personal Profile

Research

Computer Vision, Multimodal Large Model, Deep Learning, Medical Image and Information Processing, Artificial Intelligence

Teaching

Research Methods

Advanced Deep Learning

Deep Learning

Artificial Intelligence B

Publications Read More

[1] Cao, G., Lan, X., Huang, W., Zhang, J., Jiang, D., & Wang, Y. (2025). DS-Det: Single-Query Paradigm and Attention Disentangled Learning for Flexible Object Detection. ACMMM 2025.

[2] Huang, W., Cao, G., Xia, J., Chen, J., Wang, H., & Zhang, J. (2025). h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded Objective. IEEE Trans. on PAMI.

[3] Xia, J., Xu, M., Huang, W., Zhang, J., Zhang, H., & Xiao, C. (2025). Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment. IJCV 2025.

[4] Liang, T., Lin, K. Y., Tan, C., Zhang, J., Zheng, W. S., & Hu, J. F. (2025). Referdino: Referring video object segmentation with visual grounding foundations. ICCV 2025.

[5] Jiahao Xia, Yike Wu, Wenjian Huang, Jianguo Zhang, Jian Zhang. Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints. ICCV 2025.

[6] Guiping Cao, Tao Wang, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Jiang Dongmei. Open-Det: An Efficient Learning Framework for Open-Ended Detection. ICML 2025.

[7] Peijia Qin, Jianguo Zhang. Learning to Quantize for Training Vector-Quantized Networks. ICML 2025.

[8] Yunlong Tang, Jing Bi, Siting Xu, Luchuan Song, Susan Liang, Teng Wang, Daoan Zhang, Jie An, Jingyang Lin, Rongyi Zhu, Ali Vosoughi, Chao Huang, Zeliang Zhang, Pinxin Liu, Mingqian Feng, Feng Zheng, Jianguo Zhang, Ping Luo, Jiebo Luo, Chenliang Xu (2025). Video understanding with large language models: A survey. IEEE Transactions on Circuits and Systems for Video Technology.

[9] Guiping Cao, Wenjian Huang, Xiangyuan Lan, Dongmei Jiang, Jianguo Zhang, Yaowei Wang (2025). Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection. IEEE Transactions On MultiMedia.

[10] Yu Long, Qinghua Lin, Zhihua Wang, Kai Zhang Zhang, Jianguo Zhang, Yuming Fang Fang (2025). Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions. AAAI 2025.

[11] Jingkun Chen, Wenjian Huang, Jianguo Zhang, Kurt Debattista, Jungong Han (2025). Addressing inconsistent labeling with cross image matching for scribble-based medical image segmentation. IEEE Trans. On Image Processing.

[12] Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng (2025). SpikingSMMs: Learning long sequences with sparse and parallel spiking state space models. AAAI 2025.

[13] Yuan, J., Siakallis, L., Li, H. B., Brandner, S., Zhang, J., Li, C., … & Bisdas, S. (2024). Structural-and DTI-MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2–4 glioma patients: a deep Radiomics Approach. BMC Medical Imaging, 24(1), 104.

[14] Wang, H., Luo, S., Hu, G., & Zhang, J. (2024). Gradient-Guided Modality Decoupling for Missing-Modality Robustness. Proceedings of the AAAI Conference on Artificial Intelligence, 38(14), 15483-15491.

[15] Jun Cen, Chenfei Wu, Xiao Liu, Shengming Yin, Yixuan Pei, Jinglong Yang, Qifeng Chen, Nan Duan, and Jianguo Zhang. 2024. Using left and right brains together: towards vision and language planning. In Proceedings of the 41st International Conference on Machine Learning (ICML'24), Vol. 235. JMLR.org, Article 230, 5982–6001.

[16] Xia, J., Huang, W., Xu, M., Zhang, J., Zhang, H., Sheng, Z., & Xu, D. (2024). Unsupervised Part Discovery via Dual Representation Alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17] Cao, G., Huang, W., Lan, X., Zhang, J., Jiang, D., & Wang, Y. (2024, August). MLP-DINO: category modeling and query graphing with deep MLP for object detection. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24), Jeju, Republic of Korea (pp. 3-9).

[18] Luo, X., Xu, Q., Wang, Z., Huang, C., Liu, C., Jin, X., & Zhang, J. (2024). A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading. IEEE Journal of Biomedical and Health Informatics.

[19] Li, B., Leng, L., Shen, S., Zhang, K., Zhang, J., Liao, J., & Cheng, R. (2024). Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference. IEEE Transactions on Neural Networks and Learning Systems.