Jingchao Ni, Ph.D.
路 PhD in Computer Science, The Pennsylvania State University
Dr. Jingchao Ni is an assistant professor of computer science at the University of Houston. Prior to joining , he was a researcher at NEC Labs and AWS AI Labs. He received his PhD from The Pennsylvania State University. His research focuses on machine learning, data mining, and artificial intelligence. He is particularly interested in time series analysis through cross-modal learning, multimodal integration, LLM reasoning, and their application to areas emphasizing AI for science (e.g., neuroscience, geoscience) and AI for social good (e.g., healthcare, cyber-physical systems, AIOps). His research has been published in top-tier conferences (e.g., ICLR, ICML, NeurIPS, CVPR, ACL, AAAI, KDD, WWW) and journals (e.g., IEEE TKDE, ACM TKDD), and has contributed to products, with more than 20 patents filed or granted.
路 Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen. "Harnessing Vision Models for Time Series Analysis: A Survey". In IJCAI, 2025.
路 ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni. "Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery". In ACL (Findings), 2025.
路 Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo. "Interpreting Graph Neural Networks with In-Distributed Proxies". In ICML, 2024. 4. Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu. "Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning". In NeurIPS, 2023.
路 Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen. "Superclass-Conditional Gaussian Mixture Model for Learning Fine-Grained Embeddings". In ICLR, 2022.