What I cannot create, I do not understand.

– Richard Feynman

I am a Senior Research Scientist at Futurewei Technology. I received my PhD and MS in Computer Science from Stevens Institute of Technology, and my BS in Computer Science from Harbin Institute of Technology. My research interests are broadly in artificial intelligence, with a primary focus on probabilistic generative models that can understand the world. I have also completed internships as a Research Scientist at Toyota Research Institute and Futurewei Technology.

Email 📧, Resume 📁, Google Scholar 🎓

Publication

[TMLR, 2026] Learning Multi-stage Energy-based Prior for Hierarchical Generative Models
Jiali Cui, Tian Han

[AAAI, 2026] ShaLa: Multimodal Shared Latent Space Modelling
Jiali Cui, Yan-Ying Chen, Yanxia Zhang, Matthew Klenk

[ECCV, 2024] Learning Multimodal Latent Generative Models with Energy-Based Prior
Shiyu Yuan, Jiali Cui, Hanao Li, Tian Han

[ICML, 2024] Learning Latent Space Hierarchical EBM Diffusion Models
Jiali Cui, Tian Han

[NeurIPS, 2023] Learning Energy-based Model via Dual-MCMC Teaching
Jiali Cui, Tian Han

[ICCV, 2023] Learning Hierarchical Features with Joint Latent Space Energy-Based Prior
Jiali Cui, Ying Nian Wu, Tian Han

[CVPR, 2023] Learning Joint Latent Space EBM Prior Model for Multi-layer Generator
Jiali Cui, Ying Nian Wu, Tian Han

[NeurIPS, 2020] Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling
Bo Pang, Erik Nijkamp, Jiali Cui, Tian Han, Ying Nian Wu
Workshop on I Can’t Believe It’s Not Better (ICBINB) @ NeurIPS, 2020

Education

• B.S. Harbin Institute of Technology (Harbin, China), 2015 - 2019
• M.S. Stevens Institute of Technology (Hoboken, NJ), 2019 - 2021
• Ph.D Stevens Institute of Technology (Hoboken, NJ), 2021 - Now