• Zhi-Ri Tang is an Associate Professor at School of Intelligent Systems Science and Engineering, Jinan University. He received B.Sc and M.Eng degrees from Wuhan University, and obtained a Ph.D degree from the Department of Computer Science, City University of Hong Kong. His current research interests mainly include AI in biomedical engineering and healthcare. In recent years, he has authored or co-authored many papers in refereed journals and conferences, including 3 ESI highly cited papers. He has also won the silver medal and first prize in the 2018 Intel InnovateFPGA Global Innovation Competition in the Greater China Regional Final, and first price in 2024 ASC Student Supercomputer Challenge Finals (as advisor).
• 汤知日，暨南大学智能科学与工程学院副教授、硕导，入选国家级青年人才、广东省海外人才支持项目。分别于武汉大学获得学士和硕士学位，并于香港城市大学计算机科学系获得博士学位。主要的研究方向包括人工智能在生物医学工程及智慧医疗中的应用，相关研究成果在行业知名SCI期刊及国际会议上发表论文多篇，其中3篇入选ESI高被引论文。曾获2018年Intel InnovateFPGA全球创新大赛大中华区决赛银牌及一等奖，作为指导老师获得2024年ASC全球大学生超算比赛一等奖。
• Opening: 本课题组长期招募优秀本科生和研究生，研究方向主要包括将人工智能应用于智慧医疗/临床医学/生物信息学/药物研发等，内容涉及在软件/硬件层面对医学图像/生理信号/临床离散数据/蛋白质结构等进行处理，欢迎感兴趣的同学邮件与我联系！

• Methods: Cognitive computing, machine learning, data mining, deep learning, and some algorithms aiming to solve the settings lack training data or labels, including semi-supervised/unsupervised/weakly supervised/few-shot learning;
• Applications: Biomedical informatics, image and signal processing, and other interesting applications related to intelligent healthcare.

• 2024.2-now                 Associate Professor at School of Intelligent Systems Science and Engineering, Jinan University, China.
• 2022.3-2022.8            Visiting Researcher at Academy for Engineering and Technology, Fudan University, China.

• 2019.9-2024.2            Ph.D in Computer Science, City University of Hong Kong, Hong Kong.
• 2017.9-2019.6            M.Eng in Integrated Circuit Engineering, Wuhan University, China.
• 2013.9-2017.6            B.Sc in Microelectronics Science and Engineering, Wuhan University, China.

• R Hu, ZR Tang, R Yang, A joint lightly perturbation and synthesizing optimization attack framework for point cloud perturbation, Applied Soft Computing, 2024.

• Z Yu, X Li, J Li, W Chen, ZR Tang, D Geng, HSA-net with a novel CAD pipeline boosts both clinical brain tumor MR image classification and segmentation, Computers in Biology and Medicine, 2024.

• R Hu, ZR Tang, R Yang, Z Wang, MDSSN: An end-to-end deep network on triangle mesh parameterization, Knowledge-Based Systems, 2024.

• ZR Tang, HS Wong, Z Yu, Privacy-Preserving Federated Learning with Domain Adaptation for Multi-Disease Ocular Disease Recognition, IEEE Journal of Biomedical and Health Informatics, 2023.

• K Hua, X Fang, ZR Tang, Y Cheng, Z Yu, DCAM-NET: A novel domain generalization optic cup and optic disc segmentation pipeline with multi-region and multi-scale convolution attention mechanism, Computers in Biology and Medicine, 2023.

• Z Wang, ZR Tang, J Zhang, Y Fang, Toward a blind image quality evaluator in the wild by learning beyond human opinion scores, Pattern Recognition, 2023.

• TT Zhang, H Shu, ZR Tang, KY Lam, CY Chow, XJ Chen, A Li, YY Zheng, Weakly supervised real-time instance segmentation for ultrasound images of median nerves, Computers in Biology and Medicine, 2023.

• R Hu, ZR Tang, R Yang, QE-DAL: A quantum image feature extraction with dense distribution-aware learning framework for object counting and localization, Applied Soft Computing, 2023.

• ZR Tang, QQ Chen, ZH Sun, P Xiong, BH Zhang, L Jiang, EQ Wu, Few-sample generation of amount in figures for financial multi-bill scene based on GAN, IEEE Transactions on Computational Social Systems, 2023.

• ZR Tang, ZH Sun, EQ Wu, CF Wei, D Ming, SD Chen, MRCG: A MRI Retrieval Framework With Convolutional and Graph Neural Networks for Secure and Private IoMT, IEEE Journal of Biomedical and Health Informatics, 2023.

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