| 2026 | WSDM | Forget Me, Not My Friends! Object Unlearning Based on Scene Graphs. | Chenhan Zhang, Benjamin Zi Hao Zhao, Hassan Asghar, Weiqi Wang, An Liu, Dali Kaafar |
| 2025 | ICASSP | EvaSR: Rethinking Efficient Visual Attention Design for Image Super-Resolution. | Zhijian Wu, Chenhan Zhang, Dingjiang Huang |
| 2025 | PAKDD | Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders. | Hiep Vo, Zhiyi Tian, Chenhan Zhang, James Xi Zheng, Shui Yu |
| 2025 | PAKDD | Can Self Supervision Rejuvenate Similarity-Based Link Prediction? | Chenhan Zhang, Weiqi Wang, Zhiyi Tian, James Jianqiao Yu, Dali Kaafar, An Liu, Shui Yu |
| 2025 | WCNC | MOUSSE: A Multimodality-Oriented Unified Semantic Communication System by Contrastive Learning. | Tao Zhang, Feng Wu, Zhiyi Tian, Chenhan Zhang, Shui Yu |
| 2023 | AsiaCCS | BFU: Bayesian Federated Unlearning with Parameter Self-Sharing. | Weiqi Wang, Zhiyi Tian, Chenhan Zhang, An Liu, Shui Yu |
| 2023 | AsiaCCS | Extracting Privacy-Preserving Subgraphs in Federated Graph Learning using Information Bottleneck. | Chenhan Zhang, Weiqi Wang, James J. Q. Yu, Shui Yu |
| 2023 | GLOBECOM | CP-FL: Practical Gradient Leakage Defense in Federated Learning with Compressive Privacy. | Weiqi Wang, Shushu Liu, Chenhan Zhang, Mingjian Tang, Feng Wu, Shui Yu |
| 2023 | TrustCom | RUE: Realising Unlearning from the Perspective of Economics. | Mingjian Tang, Weiqi Wang, Chenhan Zhang, Shui Yu |
| 2022 | WCNC | Graph-Based Traffic Forecasting via Communication-Efficient Federated Learning. | Chenhan Zhang, Shiyao Zhang, Shui Yu, James J. Q. Yu |
| 2021 | GLOBECOM | Safeguard the Original Data in Federated Learning via Data Decomposition. | Jing Lin, Chenhan Zhang, Shui Yu |
| 2021 | ICANN | TSTNet: A Sequence to Sequence Transformer Network for Spatial-Temporal Traffic Prediction. | Xiaozhuang Song, Ying Wu, Chenhan Zhang |
| 2020 | GLOBECOM | An Enhanced Motif Graph Clustering-Based Deep Learning Approach for Traffic Forecasting. | Chenhan Zhang, Shuyu Zhang, James J. Q. Yu, Shui Yu |