| 2026 | AAAI | On the Misalignment Between Data Learnability and Forgettability in Machine Unlearning. | Zijie Pan, Zuobin Ying, Yajie Wang, Wanlei Zhou |
| 2026 | KDD | Macro Graph of Experts for Billion-Scale Multi-Task Recommendation. | Hongyu Yao, Zijin Hong, Hao Chen, Zhiqing Li, Qijie Shen, Zuobin Ying, Qihua Feng, Huan Gong, Feiran Huang |
| 2025 | AAAI | Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning. | Hanyu Zhao, Zijie Pan, Yajie Wang, Zuobin Ying, Lei Xu, Yu-An Tan |
| 2025 | KSEM | FusionMIA: Enhancing Membership Inference Attacks with Spy Clients and Shadow Models in Federated Learning. | Xiang Lan, Jiayin Li, Zuobin Ying, Xingshuo Han, Shengmin Xu |
| 2025 | KSEM | From Thinking to Output: Chain-of-Thought and Text Generation Characteristics in Reasoning Language Models. | Junhao Liu, Zhenhao Xu, Yuxin Fang, Yichuan Chen, Zuobin Ying, Wenhan Chang |
| 2025 | KSEM | FedBCE: Rethinking Clustered Federated Learning for Better Clustering Efficiency. | Huaibin Ye, Zuobin Ying, Jiechao Gao, Ximeng Liu, Jianping Cai |
| 2024 | ACISP | Towards Scalable and Secure IoTs Transactions: A New Bi-directional Payment Channel Without Third-Party Monitoring. | Zuobin Ying, Qingao Ding, Wenqi Li, Shengmin Xu, Jinbo Xiong |
| 2024 | ICA3PP | CPAKE: Dynamic Batch Authenticated Key Exchange with Conditional Privacy. | Axin Xiang, Youliang Tian, Jinbo Xiong, Zuobin Ying, Changgen Peng |
| 2024 | NPC | An Efficient Federated Meta Unlearning Algorithm with Enhanced Privacy Protection. | Yani Wang, Zuobin Ying, Zijie Pan, Enmin Zhu, Wanlei Zhou |
| 2024 | SMC | MemADet: A Representative Memory Bank Approach for Industrial Image Anomaly Detection. | Min Li, Jinghui He, Zuobin Ying, Gang Li, Mingle Zhou |
| 2023 | ICASSP | Enhance Transferability of Adversarial Examples with Model Architecture. | Mingyuan Fan, Wenzhong Guo, Zuobin Ying, Ximeng Liu |
| 2021 | ICASSP | Privacy-Preserving Optimal Insulin Dosing Decision. | Zuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang |
| 2021 | PST | Cross the Chasm: Scalable Privacy-Preserving Federated Learning against Poisoning Attack. | Yiran Li, Guiqiang Hu, Xiaoyuan Liu, Zuobin Ying |
| 2020 | CCS | Privacy-Preserving in Defending against Membership Inference Attacks. | Zuobin Ying, Yun Zhang, Ximeng Liu |
| 2020 | DAC | HITTSFL: Design of a Cost-Effective HIS-Insensitive TNU-Tolerant and SET-Filterable Latch for Safety-Critical Applications. | Aibin Yan, Xiangfeng Feng, Xiaohu Zhao, Hang Zhou, Jie Cui, Zuobin Ying, Patrick Girard, Xiaoqing Wen |
| 2020 | GLOBECOM | Privacy-preserving Intelligent Traffic Light Control. | Zuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Maode Ma |
| 2020 | GLOBECOM | FHPT: Fine-Grained EHR Sharing in E-Healthcare Cloud with Hidden Policy and Traceability. | Zuobin Ying, Yuanping Si, Jianfeng Ma, Ximeng Liu, Shengmin Xu |
| 2020 | ISCAS | Dual-Interlocked-Storage-Cell-Based Double-Node-Upset Self-Recoverable Flip-Flop Design for Safety-Critical Applications. | Aibin Yan, Zhelong Xu, Jie Cui, Zuobin Ying, Zhengfeng Huang, Huaguo Liang, Patrick Girard, Xiaoqing Wen |
| 2020 | Networking | OIDPR: Optimized Insulin Dosage based on Privacy-Preserving Reinforcement Learning. | Zuobin Ying, Yun Zhang, Shuanglong Cao, Shengmin Xu, Ximeng Liu |
| 2019 | GLOBECOM | Implementing Security-Enhanced PHR System in the Cloud Using FAME. | Zuobin Ying, Wenjie Jiang, Ximeng Liu, Shengmin Xu |
| 2019 | ICA3PP | Lightweight Outsourced Privacy-Preserving Heart Failure Prediction Based on GRU. | Zuobin Ying, Shuanglong Cao, Peng Zhou, Shun Zhang, Ximeng Liu |
| 2019 | ICA3PP | Privacy-Preserving Fine-Grained Outsourcing PHR with Efficient Policy Updating. | Zuobin Ying, Wenjie Jiang, Ximeng Liu, Maode Ma |
| 2018 | ICA3PP | Differentially Private Location Protection with Continuous Time Stamps for VANETs. | Zhili Chen, Xianyue Bao, Zuobin Ying, Ximeng Liu, Hong Zhong |