Zanxi Ruan

Zanxi Ruan

阮瓒茜

Hi, I am Zanxi! I'm a 2nd year PhD Candidate at University of Verona 🇮🇹
I am incredibly lucky to be supervised by Prof. Marco Cristani and Dr. Yiming Wang.

My research hearts 🤍 lie in multimodal learning and information imbalance in large model training. Previously, I earned my M.Sc. from NUDT and B.Sc. (Ranked 1st/70) from NCUT.

Google Scholar GitHub

News

Selected Publications

Decost
StructXLIP: Enhancing Vision-Language Models with Multimodal Structural Cues
Z. Ruan, Q. Kong, S. GAO, Y. Wang, M. Cristani
CVPR 2026 — The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026
CVPR
ABS BIB HTML PDF
Decost
Learning to Solve Orienteering Problem with Time Windows and Variable Profits
S. Gao, Z. Ruan, P. Floor, M. Roveri, L. Palopoli, D. Fontanelli
ICLR 2026 — The Fourteenth International Conference on Learning Representations
ICLR
ABS BIB HTML PDF
LOTS of Fashion
LOTS of Fashion! Multi-conditioning for Image Generation via Sketch-Text Pairing
F. Girella, D. Talon, Z. Liu, Z. Ruan, Y. Wang, M. Cristani
ICCV 2025 (Oral) — Proceedings of The IEEE/CVF International Conference on Computer Vision
ICCV
ABS BIB HTML PDF
Few-shot Event-based Action Recognition
Few-shot Event-based Action Recognition
Z. Ruan, N. Pu, J. Chen, S. Gao, Y. Guo, Q. Kong, Y. Xie, Y. Wei
Neural Networks, 191, 107750, 2025
JCR Q1
ABS BIB PDF
Dual-branch Fusion
Dual-branch Fusion with Style Modulation for Cross-domain Few-shot Semantic Segmentation
Q. Kong, J. Chen, J. Jiang, Z. Ruan, L. Kang
ACM Multimedia 2024 — Proceedings of the 32nd ACM International Conference on Multimedia
ACM MM
ABS BIB PDF
Hybrid Attentive Prototypical Network
Hybrid Attentive Prototypical Network for Few-shot Action Recognition
Z. Ruan, Y. Wei, Y. Guo, Y. Xie
Complex & Intelligent Systems, 10 (6), 8249–8272, 2024
JCR Q1
ABS BIB PDF