About Me
I am a second-year PhD student in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign (UIUC), advised by Professor Minh N. Do. I am also fortunate to work closely with Professor Ge Liu. Before joining UIUC, I received my B.Sc. in Mathematics from the University of Hong Kong.
Research Interests
My research lies at the intersection of Multimodal Representation Learning, Generative Modeling, and AI for Healthcare and Biomedicine.
I am interested in developing theoretically grounded and scalable learning frameworks for multimodal intelligence. In particular, I study multimodal representation learning through novel perspectives and principled objectives for both cross-modal and within-modal understanding, and generative modeling with an emphasis on efficient and controllable generation.
More broadly, I am interested in unified learning paradigms that connect representation and generation across modalities. I view them not as isolated problems, but as two tightly connected aspects of the same underlying challenge: building intelligent systems that can understand, reason, and generate in complex real-world settings.
Publications
UniCon: Unified Framework for Contrastive Multimodal Alignment
Hangke Sui*, Yuqing Wang*, Minh N. Do
ICLR 2026, Multimodal Representation Learning
Mixed-Curvature Product Space Multimodal Contrastive Alignment
Hangke Sui*, Jiakai Chen*
GRaM Workshop @ ICLR 2026, Multimodal Representation Learning
LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling
Yuxin Chen*, Chumeng Liang*, Hangke Sui*, Ruihan Guo, Chaoran Cheng, Jiaxuan You, Ge Liu
arXiv preprint, 2026, Generative Modeling
Selected Projects
MASCOT: Manufacturing Agile and Scalable Organoid Tumor Models
ARPA-H Funded Project, 2024-present, AI for Healthcare and Biomedicine
Education
PhD in Electrical and Computer Engineering
University of Illinois Urbana-Champaign
2024-present
Bachelor of Science in Mathematics, double major in Decision Analytics
University of Hong Kong
2020-2024
First Class Honors
Exchange Student in Mathematics
University of California, Los Angeles
Jan 2023-June 2023
Dean's Honors List
I am grateful to Prof.
Xiaoming Yuan and Prof.
Lequan YU for introducing me to research and providing guidance during my undergraduate studies. I also had the privilege of being advised by Prof.
Justin Wan at the David R. Cheriton School of Computer Science, University of Waterloo. I am sincerely thankful to all the exceptional professors and mentors I have met along the way, who have profoundly shaped my understanding of mathematics, statistics, and computer science.