陈正鸣

简介：从事因果关系发现、机器学习等相关领域的研究，特别是关于隐变量模型、代数统计学、张量技术等理论研究与应用。在JMLR、TNNLS、Neurocomputing、ICML、NeurIPS、AAAI、IJCAI、ICLR、《软件学报》等重要刊物或CCF A类会议上发表高质量论文20余篇，其中2篇论文被评选为Spotlight，现担任TNNLS、Japanese Journal of Statistics and Data Science 、KBS、NeurIPS、ICML、AAAI、ICDM、ICLR、AISTATS等人工智能重要期刊或会议审稿人，研究成果在国际人工智能联合会议（IJCAI 2023，中国澳门）（2025, 中国广州）、“数据科学与人工智能”秋季论坛（2022，广东广州）等国内外重要会议上进行口头汇报。

教育背景：2022–2025，广东工业大学计算机学院，计算机科学与技术，博士

工作经历：2025-至今，汕头大学，数学与计算机学院

发表的学术论文：

1. Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang. Learning Discrete Latent Variable Structures with Tensor Rank Conditions. The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. (CCF A)

2. Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, Kun Zhang. Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations. Forty-second International Conference on Machine Learning (ICML), 2025. (CCF A)

3. Zhengming Chen, Jie Qiao, Feng Xie, Ruichu Cai, Zhifeng Hao, Keli Zhang. Testing Conditional Independence Between Latent Variables by Independence Residuals. IEEE Transactions on Neural Networks and Learning Systems. (中科院1区, 影响因子:8.3，CCF B)

4. Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai. Some General Identification Results for Linear Latent Hierarchical Causal Structure. The Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), 2023. (CCF A)

5. Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai. Identification of Linear Latent Variable Model with Arbitrary Distribution. The 36th AAAI Conference on Artificial Intelligence (AAAI), 2022. (CCF A)

6. Hongbing Zhang, Kezhou Chen, Nankai Lin, Aiming Yan, Zhifeng Hao, Zhengming Chen*. Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning. The 34th International Joint Conference on Artificial Intelligence (IJCAI-25), 2025. (通讯作者, CCF A)

7. Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng. Automating the Selection of Proxy Variables of Unmeasured Confounders. The Forty-First International Conference on Machine Learning (ICML), 2024. (Spotlight, CCF A)

8. Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang. Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables. Journal of Machine Learning Research. (CCF A 期刊)

科研项目：

国家重点研发计划, 前沿生物技术专项, 耦合功能驱动的新型非植入脑机接口装备研发, 2025.09-2028.08, 3800万元，进行中。项目骨干成员。