Xianwei Zou

Ph.D. Student in Computer Engineering at UC Irvine ยท HPC Forge

prof_pic.jpeg

Engineering Hall 308 5200

Irvine, CA 92697

I am a Ph.D. student in Computer Engineering at the University of California, Irvine, advised by Prof. Aparna Chandramowlishwaran. I am part of HPC Forge.

I work on foundational generative models for fluid dynamics, focusing on diffusion and flow-based models for learning complex physical systems. My broader interests lie in generative AI (GenAI), scientific machine learning (SciML), and AI for science (AI4Science), with the goal of building models that are robust, efficient, physically grounded, and scalable across regimes.

I received my M.S. in Electrical and Computer Engineering from Carnegie Mellon University in 2024 and my B.E. in Telecommunication Engineering from Xidian University in 2021.

Outside the lab, I spend most of my time training. Like in ML, Iโ€™m drawn to sports with clear benchmarks, things you can measure, track, and improve. I do endurance sports (rowing ๐Ÿšฃโ€โ™‚๏ธ, cycling ๐Ÿšดโ€โ™‚๏ธ, long hikes ๐Ÿฅพ) alongside powerlifting ๐Ÿ‹๏ธโ€โ™‚๏ธ, timing the long efforts and logging the weight on the bar. I enjoy long, boring Zone 2 sessions as much as heavy singles. Both teach patience, consistency, and respect for limits.

selected publications

  1. NeurIPS
    bubbleformer.png
    Bubbleformer: Forecasting Boiling with Transformers
    Sheikh Md Shakeel Hassan, Xianwei Zou, Akash Dhruv, and 1 more author
    Advances in Neural Information Processing Systems (NeurIPS), 2025
    Spotlight
  2. INTERSPEECH
    qu2023hidden.png
    The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features
    Liao Qu*, Xianwei Zou*, Xiang Li*, and 3 more authors
    In Proceedings of the Conference of the International Speech Communication Association (INTERSPEECH), 2023