Dr. Shiming Ge

Professor Supervisor/Master Supervisor 

Email：smge@cityu.edu.mo

Office address: Room S502 A, Stanley Ho Building, City University of Macau (Taipa) 

Academic Qualifications

2008  Electronic Engineering, University of Science and Technology of China, China

2003  Electronic Engineering, University of Science and Technology of China, China

Research Interests

Computer Vision

AI Safety

Deep Learning

Physical Intelligence

Research and publishing

1. Bochao Liu, Shiming Ge*, Pengju Wang, Shikun Li, Tongliang Liu. (2026). Privacy-Preserving Model Transcription with Differentially Private Synthetic Distillation. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI): 48(6): 6786-6798. (IF=20.4).
2. Kexin Bao, Yong Li, Dan Zeng, Shiming Ge*.(2026). Few-shot Class-Incremental Learning via Generative Co-Memory Regularization. Int. J. Comput. Vis. (IJCV), 134(4): 164. (5Y-IF=15.5).
3. Shikun Li, Xiaobo Xia, Jiankang Deng, Shiming Ge*, Tongliang Liu. (2024). Transferring Annotator-and Instance-dependent Transition Matrix for Learning from Crowds. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI), 46(11): 7377-7391. (IF=20.4).
4. Fanzhao Lin, Kexin Bao, Yong Li, Dan Zeng, Shiming Ge*.(2024). Learning Contrast-Enhanced Shape-Biased Representations for Infrared Small Target Detection. IEEE Trans. Image Process. (TIP), 33: 3047-3058. (IF=15.3).
5. Kangkai Zhang, Shiming Ge*, Ruixin Shi, Dan Zeng.(2024). Low-Resolution Object Recognition With Cross-Resolution Relational Contrastive Distillation. IEEE Trans. Circuits Syst. Video Technol. (TCSVT), 34(4): 2374-2384 (2024). (IF=10.8)
6. Fanzhao Lin, Shiming Ge*, Kexin Bao, Chenggang Yan, Dan Zeng.(2024). Learning Shape-Biased Representations for Infrared Small Target Detection. IEEE Trans. Multim. (TMM), 26: 4681-4692. (IF=9.9)
7. Shiming Ge, Bochao Liu, Pengju Wang, Yong Li, Dan Zeng.(2023). Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation. IEEE Trans. Image Process. (TIP), 32: 116-127. (IF=15.3)
8. Yingying Hua, Ruixin Shi, Pengju Wang, Shiming Ge*.(2023). Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection. IEEE Trans. Image Process. (TIP), 32: 1668-1680. (IF=15.3)
9. Shikun Li, Tongliang Liu, Jiyong Tan, Dan Zeng, Shiming Ge*.(2023). Trustable Co-label Learning from Multiple Noisy Annotators. IEEE Trans. Multim. (TMM), 25: 1045-1057. (IF=9.9)
10. Jialin Gao, Xin Sun, Bernard Ghanem, Xi Zhou, Shiming Ge*.(2022). Efficient Video Grounding with Which-Where Reading Comprehension. IEEE Trans. Circuits Syst. Video Technol. (TCSVT), 32(10): 6900-6913. (IF=10.8)
11. Kangkai Zhang, Chunhui Zhang, Shikun Li, Dan Zeng, Shiming Ge*.(2022). Student Network Learning via Evolutionary Knowledge Distillation. IEEE Trans. Circuits Syst. Video Technol. (TCSVT), 32(4): 2251-2263. (IF=10.8)
12. Shiming Ge, Chunhui Zhang, Shikun Li, Dan Zeng, Dacheng Tao. (2021). Cascaded Correlation Refinement for Robust Deep Tracking. IEEE Trans. Neural Networks Learn. Syst. (TNNLS), 32(3): 1276-1288. (IF=9.7)
13. Shiming Ge, Zhao Luo, Chunhui Zhang, Dan Zeng, Dacheng Tao. (2020). Distilling Channels for Efficient Deep Tracking. IEEE Trans. Image Process. (TIP), 29: 2610-2621. (IF=15.3)
14. Shiming Ge, Shengwei Zhao, Chenyu Li, Yu Zhang, Jia Li. (2020). Efficient Low-Resolution Face Recognition via Bridge Distillation. IEEE Trans. Image Process. (TIP), 29: 6898-6908. (IF=15.3)
15. Jia Li, Kui Fu, Shengwei Zhao, Shiming Ge*. (2020). Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency. IEEE Trans. Image Process. (TIP), 29: 1902-1914. (IF=15.3)
16. Guanshuo Wang, Yufeng Yuan, Jiwei Li, Shiming Ge*, Xi Zhou. (2020). Receptive Multi-Granularity Representation for Person Re-Identification. IEEE Trans. Image Process. (TIP), 29: 6096-6109. (IF=15.3)
17. Shiming Ge, Chenyu Li, Shengwei Zhao, Dan Zeng. (2020). Occluded Face Recognition in the Wild by Identity-Diversity Inpainting. IEEE Trans. Circuits Syst. Video Technol. (TCSVT), 30(10): 3387-3397. (IF=10.8)
18. Jia Li, Yifan Zhao, Weihua Ye, Kaiwen Yu, Shiming Ge*. (2020). Attentive Deep Stitching and Quality Assessment for 360 Omnidirectional Images. IEEE J. Sel. Top. Signal Process. (JSTSP), 14(1): 209-221. (IF=13.7)
19. Shiming Ge, Shengwei Zhao, Chenyu Li, Jia Li. (2019). Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation. IEEE Trans. Image Process. (TIP), 28(4): 2051-2062. (IF=15.3)
20. Shiming Ge, Xin Jin, Qiting Ye, Zhao Luo, Qiang Li. (2018). Image Editing by Object-Aware Optimal Boundary Searching and Mixed-Domain Composition. Comput. Vis. Media (CVM), 4(1): 71-82. (IF=8.3)
21. Shiming Ge, Weijia Guo, Chenyu Li, et al. Masked Face Recognition with Generative-to-Discriminative Representations. In Proc. Int. Conf. Mach. Learn. (ICML), 2024: 15242-15254. (CCF-A)
22. Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge*. M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. In Proc. AAAI Conf. Artif. Intell. (AAAI), 2024: 9314-9322. (CCF-A)
23. Hansong Zhang, Shikun Li, Dan Zeng, Chenggang Yan, Shiming Ge*. Coupled Confusion Correction: Learning from Crowds with Sparse Annotations. In Proc. AAAI Conf. Artif. Intell. (AAAI), 2024:16732-16740. (CCF-A)
24. Bochao Liu, Pengju Wang, Weijia Guo, Yong Li, Liansheng Zhuang, Weiping Wang, Shiming Ge*. Private Gradient Estimation is Useful for Generative Modeling. In ACM Int. Conf. Multimedia (MM), 2024: 282-290. (CCF-A)
25. Daichi Zhang, Zihao Xiao, Shikun Li, Fanzhao Lin, Jianmin Li, Shiming Ge*. Learning Natural Consistency Repre sentation for Face Forgery Video Detection. In Eur. Conf. Comput. Vis. (ECCV), 2024: 407-424.
26. Bochao Liu, Pengju Wang, Shiming Ge*. Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation. In Eur. Conf. Comput. Vis. (ECCV), 2024: 55-71.
27. Jianghu Lu, Shikun Li, Kexin Bao, Pengju Wang, Zhenxing Qian, Shiming Ge*. Federated Learning with Label Masking Distillation. In ACM Int. Conf. Multimedia (MM), 2023: 222-232. (CCF-A)
28. Shikun Li, Xiaobo Xia, Shiming Ge*, Tongliang Liu. Selective-Supervised Contrastive Learning with Noisy Labels. In IEEE/CVF Conf. Comput. Vis. Pattern Recog. (CVPR), 2022: 316-325. (CCF-A)
29. Shikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge*, Tongliang Liu. Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning. In Proc. Adv. Neural Inform. Process. Syst. (NeurIPS), 2022: 24184-24198. (CCF-A)
30. Daichi Zhang, Fanzhao Lin, Yingying Hua, Pengju Wang, Dan Zeng, Shiming Ge*. Deepfake Video Detection with Spatiotemporal Dropout Transformer. In ACM Int. Conf. Multimedia (MM), 2022: 5833-584. (CCF-A)
31. Chenyu Li, Shiming Ge*, Daichi Zhang, Jia Li. Look Through Masks: Towards Occluded Face Recognition with De-Occlusion Distillation. In ACM Int. Conf. Multimedia (MM), 2020: 3016-3024. (CCF-A)
32. Chunhui Zhang, Shiming Ge*, Kangkai Zhang, Dan Zeng. Accurate UAV Tracking with Distance-Injected Overlap Maximization. In ACM Int. Conf. Multimedia (MM), 2020: 565-573. (CCF-A)
33. Dan Zeng, Han Liu, Hui Lin, Shiming Ge*. Talking Face Generation with Expression-Tailored Generative Adversarial Network. In ACM Int. Conf. Multimedia (MM), 2020: 1716-1724. (CCF-A)
34. Shiming Ge, Kangkai Zhang, Haolin Liu, et al. Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition. In Proc. AAAI Conf. Artif. Intell. (AAAI), 2020: 10845-10852. (CCF-A)
35. Shikun Li, Shiming Ge*, Yingying Hua, et al. Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. In Proc. AAAI Conf. Artif. Intell. (AAAI), 2020: 4667-4674. (CCF-A)
36. Jialin Gao, Zhixiang Shi, Guanshuo Wang, Jiani Li, Yufeng Yuan, Shiming Ge*, Xi Zhou. Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network. In Proc. AAAI Conf. Artif. Intell. (AAAI), 2020: 10810-10817. (CCF-A)
37. Shiming Ge, Shengwei Zhao, Xindi Gao, Jia Li. Fewer-Shots and Lower-Resolutions: Towards Ultrafast Face Recog nition in the Wild. In ACM Int. Conf. Multimedia (MM), 2019: 229-237. (CCF-A)
38. Yingying Hua, Shiming Ge*, Xindi Gao, et al. Defending Against Adversarial Examples via Soft Decision Trees Embedding. In ACM Int. Conf. Multimedia (MM), 2019: 2106-2114. (CCF-A)
39. Xin Jin, Le Wu, Geng Zhao, Xiaodong Li, Xiaokun Zhang, Shiming Ge*, Dongqing Zou, Bin Zhou, Xinghui Zhou. Aesthetic Attributes Assessment of Images. In ACM Int. Conf. Multimedia (MM), 2019: 311-319. (CCF-A)
40. Shiming Ge, Jia Li, Qiting Ye, Zhao Luo. Detecting Masked Faces in the Wild with LLE-CNNs. In IEEE Conf. Comput. Vis. Pattern Recog. (CVPR), 2017: 426-434. (CCF-A)