| Taming communication and sample complexities in decentralized policy evaluation for cooperative multi-agent reinforcement learning X Zhang, Z Liu, J Liu, Z Zhu, S Lu Advances in Neural Information Processing Systems 34, 18825-18838, 2021 | 37 | 2021 |
| Federated multi-objective learning H Yang, Z Liu, J Liu, C Dong, M Momma Advances in neural information processing systems 36, 39602-39625, 2023 | 29 | 2023 |
| Net-fleet: Achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data X Zhang, M Fang, Z Liu, H Yang, J Liu, Z Zhu Proceedings of the Twenty-Third International Symposium on Theory …, 2022 | 23 | 2022 |
| Energy-aware material selection for product with multicomponent under cloud environment L Bi, Y Zuo, F Tao, TW Liao, Z Liu Journal of Computing and Information Science in Engineering 17 (3), 2017 | 20 | 2017 |
| Interact: Achieving low sample and communication complexities in decentralized bilevel learning over networks Z Liu, X Zhang, P Khanduri, S Lu, J Liu Proceedings of the twenty-third international symposium on theory …, 2022 | 19 | 2022 |
| SAGDA: Achieving Communication Complexity in Federated Min-Max Learning H Yang, Z Liu, X Zhang, J Liu Advances in Neural Information Processing Systems 35, 7142-7154, 2022 | 18 | 2022 |
| Do We Really Need to Design New Byzantine-robust Aggregation Rules? M Fang, S Nabavirazavi, Z Liu, W Sun, SS Iyengar, H Yang Network and Distributed System Security (NDSS) Symposium, 2025 | 17 | 2025 |
| Adversarial attacks to multi-modal models Z Dou, X Hu, H Yang, Z Liu, M Fang Proceedings of the 1st ACM Workshop on Large AI Systems and Models with …, 2024 | 15 | 2024 |
| Practical poisoning attacks against retrieval-augmented generation B Zhang, Y Chen, M Fang, Z Liu, L Nie, T Li, Z Liu In Proc. ACM SACMAT, 2026 | 14 | 2026 |
| Traceback of poisoning attacks to retrieval-augmented generation B Zhang, H Xin, M Fang, Z Liu, B Yi, T Li, Z Liu Proceedings of the ACM on Web Conference 2025, 2085-2097, 2025 | 13 | 2025 |
| Prometheus: taming sample and communication complexities in constrained decentralized stochastic bilevel learning Z Liu, X Zhang, P Khanduri, S Lu, J Liu International conference on machine learning, 22420-22453, 2023 | 13 | 2023 |
| Precision: Decentralized constrained min-max learning with low communication and sample complexities Z Liu, X Zhang, S Lu, J Liu Proceedings of the Twenty-fourth International Symposium on Theory …, 2023 | 11 | 2023 |
| Diamond: Taming sample and communication complexities in decentralized bilevel optimization P Qiu, Y Li, Z Liu, P Khanduri, J Liu, NB Shroff, ES Bentley, K Turck IEEE INFOCOM 2023-IEEE conference on computer communications, 1-10, 2023 | 8 | 2023 |
| FD-GATDR: A federated-decentralized-learning graph attention network for doctor recommendation using EHR L Bi, Y Wang, F Zhang, Z Liu, Y Cai, E Zhao arXiv preprint arXiv:2207.05750, 2022 | 8 | 2022 |
| Pendulum-like oscillation controller for UAV based on Lévy-flight pigeon-inspired optimization and LQR Z Liu, H Duan, Y Yang, X Hu 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2016 | 6 | 2016 |
| Poisoning attacks and defenses to federated unlearning W Wang, Q Ma, Z Zhang, Y Liu, Z Liu, M Fang Companion Proceedings of the ACM on Web Conference 2025, 1365-1369, 2025 | 5 | 2025 |
| Benchmarking Poisoning Attacks against Retrieval-Augmented Generation B Zhang, H Xin, J Li, D Zhang, M Fang, Z Liu, L Nie, Z Liu arXiv preprint arXiv:2505.18543, 2025 | 4 | 2025 |
| Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing M Fang, Z Liu, X Zhao, J Liu Companion Proceedings of the ACM on Web Conference 2025, 961-965, 2025 | 4 | 2025 |
| DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity Z Qin, Z Liu, S Lu, Y Liang, J Liu The Thirteenth International Conference on Learning Representations, 2025 | 3 | 2025 |
| Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation B Zhang, H Xin, Y Chen, Z Liu, B Yi, T Li, L Nie, Z Liu, M Fang In Proc. IEEE Symposium on Security and Privacy, 2026 | 2 | 2026 |
