Minghao Fu

Minghao Fu Minghao Fu Chinese name

I am a first-year Ph.D. student at the Halıcıoğlu Data Science Institute, UC San Diego, advised by Biwei Huang.

Before UCSD, I completed my M.S. in Machine Learning at MBZUAI under Kun Zhang. During that time, I was also a visiting student at CMU, working with Peter Spirtes. I worked on causal learning and identification problems, with using them to improve downstream generative models and scientific discovery. My master’s thesis can be found here.

Prior to MBZUAI, I obtained my Bachelor from UESTC, advised by Jie Shao, and also interned in the NLP group at Shanghai AI Lab, led by Lingpeng Kong.

Email /  GitHub /  Google Scholar /  LinkedIn /  Twitter /  Curriculum Vitae

Research: Truth is good

My research centers on inverting observation-generation to unveil the hidden world. I explore: (1) how to identify a hidden world based on the assumed generative mechanism, and (2) how such a hidden world instructs the observed world evolving in response to the environment?

News

Oct 2025. Will present our work on The 5th Measurement Errors and Latent Variables Workshop at Economics Department, Johns Hopkins University. Thanks to Dean. Hu for invitation!

Sep 2025. Two papers on Identifiability of Hierarchical Model and Online Representation Learning were accepted to NeurIPS 2025.

Publications & Preprints

Towards Identifiability of Hierarchical Temporal Causal Representation Learning

Zijian Li*, Minghao Fu*, Junxian Huang, Yifan Shen, Ruichu Cai, Yuewen Sun, Guangyi Chen, Kun Zhang
NeurIPS 2025
arXiv | Code

Online Time Series Forecasting with Theoretical Guarantees

Zijian Li, Changze Zhou, Minghao Fu, Sanjay Manjunath, Fan Feng, Guangyi Chen, Yingyao Hu, Ruichu Cai, Kun Zhang
NeurIPS 2025
arXiv

Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis

Minghao Fu, Biwei Huang, Zijian Li, Yujia Zheng, Ignavier Ng, Guangyi Chen, Yingyao Hu†, Kun Zhang†
arXiv

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making

Fan Feng, Selena Ge, Minghao Fu, Zijian Li, Yujia Zheng, Zeyu Tang, Yingyao Hu, Biwei Huang, Kun Zhang
arXiv

Education

University of California, San Diego Aug 2025 – Present
Ph.D., Halıcıoğlu Data Science Institute
Advisor: Biwei Huang
Carnegie Mellon University Jun 2024 – Nov 2024
Visiting Student, CLeaR
Advisors: Peter Spirtes, Kun Zhang
Mohamed bin Zayed University of Artificial Intelligence Aug 2023 – Jun 2025
M.S., Machine Learning
Advisor: Kun Zhang
University of Electronic Science and Technology of China Sep 2019 – Jun 2023
B.S., Software Engineering
Advisor: Jie Shao

Service

Conference: CVPR 2026; ICLR 2026; NeurIPS 2025; BMVC 2023.

Journal: IEEE Transactions on Image Processing (TIP) 2024

© Minghao Fu.