| 2026 | ACL | Automated Profile Inference with Language Model Agents. | Yuntao Du, Zitao Li, Bolin Ding, Yaliang Li, Hanshen Xiao, Jingren Zhou, Ninghui Li |
| 2026 | ACL | Retrieval Heads are Dynamic. | Yuping Lin, Zitao Li, Yue Xing, Pengfei He, Yingqian Cui, Yaliang Li, Bolin Ding, Jingren Zhou, Jiliang Tang |
| 2026 | EACL | Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation. | Ze Yu Zhang, Zitao Li, Yaliang Li, Bolin Ding, Bryan Kian Hsiang Low |
| 2026 | ICPR | LS-Mamba: Gated Spatio-Temporal Modulation and Bidirectional State Space Modeling for EEG Emotion Recognition. | Zitao Li, Jiayue Gu, Ziyi Huang, Ze Xiong |
| 2025 | EMNLP | Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective. | Pengfei He, Zitao Li, Yue Xing, Yaliang Li, Jiliang Tang, Bolin Ding |
| 2025 | ICDE | A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning. | Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Keqin Zhong, Bingyi Liu, Bolin Ding, Xiaofang Zhou |
| 2025 | NDSS | On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks. | Xiaoguang Li, Zitao Li, Ninghui Li, Wenhai Sun |
| 2024 | ICLR | Improving LoRA in Privacy-preserving Federated Learning. | Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding |
| 2024 | KDD | FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. | Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou |
| 2024 | KDD | FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. | Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao |
| 2024 | KDD | VertiMRF: Differentially Private Vertical Federated Data Synthesis. | Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li |
| 2023 | KDD | FS-REAL: Towards Real-World Cross-Device Federated Learning. | Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou |
| 2021 | ISIT | Regularized Loss Minimizers with Local Data Perturbation: Consistency and Data Irrecoverability. | Zitao Li, Jean Honorio |
| 2020 | NDSS | Locally Differentially Private Frequency Estimation with Consistency. | Tianhao Wang, Milan Lopuha-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li |
| 2020 | SIGMOD | Estimating Numerical Distributions under Local Differential Privacy. | Zitao Li, Tianhao Wang, Milan Lopuha-Zwakenberg, Ninghui Li, Boris Skoric |