| 2026 | AAAI | Mobile-Agent-RAG: Driving Smart Multi-Agent Coordination with Contextual Knowledge Empowerment for Long-Horizon Mobile Automation. | Yuxiang Zhou, Jichang Li, Yanhao Zhang, Haonan Lu, Guanbin Li |
| 2025 | ICCV | DeepShield: Fortifying Deepfake Video Detection with Local and Global Forgery Analysis. | Yinqi Cai, Jichang Li, Zhaolun Li, Weikai Chen, Rushi Lan, Xi Xie, Xiaonan Luo, Guanbin Li |
| 2025 | ICCV | FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos. | Zhaolun Li, Jichang Li, Yinqi Cai, Junye Chen, Xiaonan Luo, Guanbin Li, Rushi Lan |
| 2024 | AAAI | FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. | Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu |
| 2024 | CVPR | AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning. | Duojun Huang, Xinyu Xiong, Jie Ma, Jichang Li, Zequn Jie, Lin Ma, Guanbin Li |
| 2024 | CVPR | Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection. | Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, Guanbin Li |
| 2023 | CVPR | Divide and Adapt: Active Domain Adaptation via Customized Learning. | Duojun Huang, Jichang Li, Weikai Chen, Junshi Huang, Zhenhua Chai, Guanbin Li |
| 2022 | ECCV | Neighborhood Collective Estimation for Noisy Label Identification and Correction. | Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu |
| 2021 | CVPR | Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. | Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu |
| 2019 | CVPR | Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification. | Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong |
| 2019 | CVPR | Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification. | Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong |