| 2025 | ICASSP | Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition. | Junzheng Zhang, Weijia Guo, Bochao Liu, Ruixin Shi, Yong Li, Shiming Ge |
| 2025 | IJCAI | CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning. | Kexin Bao, Daichi Zhang, Hansong Zhang, Yong Li, Yutao Yue, Shiming Ge |
| 2024 | AAAI | Coupled Confusion Correction: Learning from Crowds with Sparse Annotations. | Hansong Zhang, Shikun Li, Dan Zeng, Chenggang Yan, Shiming Ge |
| 2024 | AAAI | M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. | Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge |
| 2024 | ECCV | Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation. | Bochao Liu, Pengju Wang, Shiming Ge |
| 2024 | ECCV | Learning Natural Consistency Representation for Face Forgery Video Detection. | Daichi Zhang, Zihao Xiao, Shikun Li, Fanzhao Lin, Jianmin Li, Shiming Ge |
| 2024 | ICML | Masked Face Recognition with Generative-to-Discriminative Representations. | Shiming Ge, Weijia Guo, Chenyu Li, Junzheng Zhang, Yong Li, Dan Zeng |
| 2024 | IJCAI | DANCE: Dual-View Distribution Alignment for Dataset Condensation. | Hansong Zhang, Shikun Li, Fanzhao Lin, Weiping Wang, Zhenxing Qian, Shiming Ge |
| 2024 | IJCNN | Unsupervised Video Face Super-Resolution via Untrained Neural Network Priors. | Ruixin Shi, Weijia Guo, Shiming Ge |
| 2024 | IJCNN | Low-Resolution Face Recognition via Adaptable Instance-Relation Distillation. | Ruixin Shi, Weijia Guo, Shiming Ge |
| 2024 | IJCNN | Fusion of Current and Historical Knowledge for Personalized Federated Learning. | Pengju Wang, Bochao Liu, Weijia Guo, Yong Li, Shiming Ge |
| 2024 | PRICAI | DB-FSCIL: Few-Shot Class-Incremental Learning Using Dual Bridges. | Kexin Bao, Fanzhao Lin, Ruyue Liu, Shiming Ge |
| 2024 | SMC | Towards Personalized Federated Learning via Comprehensive Knowledge Distillation. | Pengju Wang, Bochao Liu, Weijia Guo, Yong Li, Shiming Ge |
| 2023 | AAAI | Bootstrapping Multi-View Representations for Fake News Detection. | Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng, Shiming Ge |
| 2023 | IJCAI | Model Conversion via Differentially Private Data-Free Distillation. | Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge |
| 2022 | CVPR | Selective-Supervised Contrastive Learning with Noisy Labels. | Shikun Li, Xiaobo Xia, Shiming Ge, Tongliang Liu |
| 2022 | ICASSP | Regularized Latent Space Exploration for Discriminative Face Super-Resolution. | Ruixin Shi, Junzheng Zhang, Yong Li, Shiming Ge |
| 2022 | IJCAI | Robust Weight Perturbation for Adversarial Training. | Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Bo Du, Tongliang Liu |
| 2022 | MMSP | Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation. | Bochao Liu, Jianghu Lu, Pengju Wang, Junjie Zhang, Dan Zeng, Zhenxing Qian, Shiming Ge |
| 2021 | IJCAI | Detecting Deepfake Videos with Temporal Dropout 3DCNN. | Daichi Zhang, Chenyu Li, Fanzhao Lin, Dan Zeng, Shiming Ge |
| 2020 | AAAI | Ultrafast Video Attention Prediction with Coupled Knowledge Distillation. | Kui Fu, Peipei Shi, Yafei Song, Shiming Ge, Xiangju Lu, Jia Li |
| 2020 | AAAI | Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network. | Jialin Gao, Zhixiang Shi, Guanshuo Wang, Jiani Li, Yufeng Yuan, Shiming Ge, Xi Zhou |
| 2020 | AAAI | Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition. | Shiming Ge, Kangkai Zhang, Haolin Liu, Yingying Hua, Shengwei Zhao, Xin Jin, Hao Wen |
| 2020 | AAAI | Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. | Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang |
| 2018 | AAAI | Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence. | Xin Jin, Le Wu, Xiaodong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao |
| 2018 | SAC | Error analysis and topology modifications of a self-organizing incremental neural network. | Xiaoyu Wang, Osamu Hasegawa, Shiming Ge |
| 2017 | CVPR | Detecting Masked Faces in the Wild with LLE-CNNs. | Shiming Ge, Jia Li, Qiting Ye, Zhao Luo |
| 2017 | ICCS | Discriminative Learning from Selective Recommendation and Its Application in AdaBoost. | Xiaoyu Zhang, Shupeng Wang, Chao Li, Shiming Ge, Yong Wang, Binbin Li |
| 2017 | INFOCOM | Poster abstract: MicroBrain: Compressing deep neural networks for energy-efficient visual inference service. | Shiming Ge, Zhao Luo, Qiting Ye, Xiaoyu Zhang |
| 2015 | GLOBECOM | Target Domain Adaptation for Face Detection in a Smart Camera Network with Peer-to-Peer Communications. | Shuixian Chen, Xiang Lu, Limin Sun, Shiming Ge |
| 2015 | ICIP | Abnormal event detection via adaptive cascade dictionary learning. | Hui Wen, Shiming Ge, Shuixian Chen, Hongtao Wang, Limin Sun |
| 2014 | ICPR | Image Completion Using Global Patch Matching and Optimal Seam Synthesis. | Shiming Ge, Kaixuan Xie, Rui Yang, Zhiqiang Shi |
| 2014 | Mobisys | Poster: Crowdsourcing for video traffic surveillance. | Hui Wen, Qiang Li, Qi Han, Shiming Ge, Limin Sun |
| 2009 | ICIP | A unified gradient domain method for seamless image processing. | Shiming Ge, Kongqiao Wang, Hao Wang, Feng Zhao |
| 2009 | ICIP | A fast and effective outlier detection method for matching uncalibrated images. | Feng Zhao, Hao Wang, Xiujuan Chai, Shiming Ge |