Hangke Sui

About Me

I am a PhD candidate 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, Robotics, and AI for Healthcare and Biomedicine.

I aim to build theoretically grounded and scalable learning frameworks for multimodal intelligence. In multimodal representation learning, I explore new perspectives and principled objectives that capture structure both across and within modalities. In generative modeling, I focus on making generation both efficient and controllable.

More broadly, I view representation and generation as complementary facets of intelligence, and I seek unified learning paradigms in which each informs the other across modalities. I am particularly interested in how the capacities to perceive, understand, reason, predict, generate, and act can develop together and reinforce one another—giving rise to systems that learn from their own experience and continually improve through interaction with the world.

Publications

* denotes equal contribution

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling
Yuxin Chen*, Chumeng Liang*, Hangke Sui*, Ruihan Guo, Chaoran Cheng, Jiaxuan You, Ge Liu (* equal contribution)
NeurIPS 2026
Also at ICML 2026 Workshop on Foundations of Deep Generative Models (Oral)
UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
Hangke Sui*, Yuqing Wang*, Minh N. Do
ICLR 2026
ProCLIP: Product Space Multimodal Contrastive Alignment
Hangke Sui*, Jiakai Chen*
GRaM Workshop @ ICLR 2026

Experience

Apple
Research Intern
Summer 2026

Selected Projects

MarginDx: Margin Diagnostics
PI: Prof. Stephen Boppart
ARPA-H Funded Project, 2026-present
MASCOT: Manufacturing Agile and Scalable Organoid Tumor Models
Collaborated with Prof. Minh N. Do, Prof. William P. King, Prof. Rohit Bhargava, and Prof. Kannanganattu V. Prasanth
ARPA-H Funded Project, 2024-2026

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.