学术论文

我的近期研究集中于深度因果学习、可靠的因果发现，以及面向精准医学的时序因果推断。引用数据与最新论文记录请见 Google Scholar。

2026

Zizhen Deng, Wei Wu, Chi Zhang, Xitong Zhao, Minghao Pu, Yanbin Bu, Yanfeng Liao, Changguan Wang, Jiarui Yang, Yanni Wang, and Jinzhuo Wang. A generalist precision medication framework using temporal causal inference based on treatment-free physiological profiles. Nature Communications, 17, 6562, 2026. 第一作者。
Zizhen Deng, Jiaru Zhang, Rui Ding, Bojun Huang, Jinzhuo Wang, Qiang Fu, Shi Han, and Dongmei Zhang. Test Time Training for Supervised Causal Learning. arXiv preprint arXiv:2605.30015, 2026. 第一作者，预印本。

Zizhen Deng, Hu Tian, Xiaolong Zheng, and Daniel Dajun Zeng. Deep Causal Learning: Representation, Discovery and Inference. ACM Computing Surveys, 58(2), Article 28, 1–36, 2025. 第一作者。2025 年影响因子：30.4（计算机科学理论与方法领域排名 1/146）。
Jiaru Zhang, Rui Ding, Qiang Fu, Bojun Huang, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, and Dongmei Zhang. Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning. Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 258:577–585, 2025.
Wei Wu, Can Liao, Zizhen Deng, Zhengrui Guo, and Jinzhuo Wang. Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning. The Thirteenth International Conference on Learning Representations (ICLR), 2025.

Zizhen Deng, Xiaolong Zheng, Z. Ye, Z. Cai, and Daniel Dajun Zeng. Credible Influence Analysis in Mass Media Using Causal Inference. IEEE International Conference on Intelligence and Security Informatics (ISI), 2021.
Zizhen Deng, Z. Cai, and M. Liang. A Multi-Hop VANETs-Assisted Offloading Strategy in Vehicular Mobile Edge Computing. IEEE Access, 8:53062–53071, 2020.

论文列表根据 2026 年 8 月的个人简历与 Google Scholar 记录整理。