| 2026 | AAAI | Learning Topology-Aware Dynamic Associations for Robust Multi-Person Pose Estimation. | Shengnan Hu, Yandong Liu, Jiangnan Liu, Yahong Chen |
| 2026 | WWW | DeepUL: Deep Unlearning via Model Sparsity. | Zhigao Zheng, Kai Yin, Yaowen Kuang, Tao Wang, Yahong Chen, Shihong Yao, Hao Huang |
| 2023 | WACV | Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation. | Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen, Fenghua Li, Jin Cao, Ben Niu |
| 2021 | INFOCOM | AdaPDP: Adaptive Personalized Differential Privacy. | Ben Niu, Yahong Chen, Boyang Wang, Zhibo Wang, Fenghua Li, Jin Cao |
| 2020 | GLOBECOM | A Framework to Preserve User Privacy for Machine Learning as a Service. | Ben Niu, Likun Zhang, Yahong Chen, Ang Li, Wei Du, Jin Cao, Fenghua Li |
| 2020 | WCNC | Utility-aware Exponential Mechanism for Personalized Differential Privacy. | Ben Niu, Yahong Chen, Boyang Wang, Jin Cao, Fenghua Li |
| 2018 | GLOBECOM | Achieving Personalized k-Anonymity against Long-Term Observation in Location-Based Services. | Fenghua Li, Yahong Chen, Ben Niu, Yuanyuan He, Kui Geng, Jin Cao |
| 2018 | IJCNN | A Time-Sensitive Hybrid Learning Model for Patient Subgrouping. | Yingchun Zhang, Haoyi Zhou, Jianxin Li, Wanlu Sun, Yahong Chen |