| 2026 | AAAI | Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching. | Jiacheng Cheng, Xu Zhang, Guanghui Qiu, Yifang Zhang, Yinchuan Li, Kaiyuan Feng |
| 2025 | ICML | Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers. | Jiacheng Cheng, Xiwen Yao, Xiang Yuan, Junwei Han |
| 2025 | ICML | EgoPrivacy: What Your First-Person Camera Says About You? | Yijiang Li, Genpei Zhang, Jiacheng Cheng, Yi Li, Xiaojun Shan, Dashan Gao, Jiancheng Lyu, Yuan Li, Ning Bi, Nuno Vasconcelos |
| 2025 | IUI | FretMate: ChatGPT-Powered Adaptive Guitar Learning Assistant. | Xin Shu, Lei Shi, Jiacheng Cheng, Lingling Ouyang, Mengdi Chu, Xinhuan Shu |
| 2024 | CVPR | Towards Calibrated Multi-Label Deep Neural Networks. | Jiacheng Cheng, Nuno Vasconcelos |
| 2024 | ECCV | Learning a Dynamic Privacy-Preserving Camera Robust to Inversion Attacks. | Jiacheng Cheng, Xiang Dai, Jia Wan, Nick Antipa, Nuno Vasconcelos |
| 2022 | CVPR | Calibrating Deep Neural Networks by Pairwise Constraints. | Jiacheng Cheng, Nuno Vasconcelos |
| 2021 | CVPR | Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection. | Jiacheng Cheng, Nuno Vasconcelos |
| 2020 | ICML | Learning with Bounded Instance and Label-dependent Label Noise. | Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao, Dacheng Tao |