JIVE: Jacobian-Informed Volume Expansion for Diverse Generative Sampling
Guangxun Zhang*, Brian Cai*, Boxuan Zhang, Chao Chen, Ruixiang Tang
Submitted to ICLR 2027
Mathematics & Computer Science · New York University
I am a senior at NYU (expected May 2027) studying Honors Mathematics and Computer Science. My research mainly focuses on generative modeling and representation learning. I am currently a research intern in the VISIONx lab at NYU, led by Prof. Saining Xie. Previously, I was a visiting research intern at Rutgers University, supervised by Prof. Ruixiang Tang, and a research student in the NYU SURE program, supervised by Prof. Wenzheng Shi.
Open to PhD positions starting in 2027
If you are interested in working with me, please feel free to contact me.

Fig. 1
Sampling this portrait with conditional flow matching
c = “photos taken in Thailand”
JIVE: Jacobian-Informed Volume Expansion for Diverse Generative Sampling
Guangxun Zhang*, Brian Cai*, Boxuan Zhang, Chao Chen, Ruixiang Tang
Submitted to ICLR 2027
Stable Mean Flow: Lyapunov-Inspired One-Step Flow Matching
Guangxun Zhang, Mason Haberle, Davi Geiger
CVPR 2026 · Highlight, top 2.8% of all submissions
Contact-Anchored Policies: Contact Conditioning Creates Strong Robot Utility Models
Zichen Jeff Cui, Omar Rayyan, Haritheja Etukuru, … Guangxun Zhang, … Lerrel Pinto, Nur Muhammad Mahi Shafiullah
Robotics: Science and Systems 2026
Multi-Scale Pyramid Feature Integration and Style-Mixing Contrastive Analysis for Robust Invasive Ductal Carcinoma Detection
Guangxun Zhang, Xiaomei Wang
NTCI 2025
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More highlights are coming soon…