Zeyu Dong

School of Computing and Augmented Intelligence (SCAI)

Arizona State University

Generative Models · Large Language Models · Multimodal Learning · Efficient AI

Profile Photo

Biography

I am a Ph.D. student in the School of Computing and Augmented Intelligence at Arizona State University, advised by Prof. Yingzhen Yang. I am a member of the SDL Lab. My research focuses on generative models, large language models, multimodal foundation models, and efficient deep learning. Before joining ASU, I received my M.S. degree from Boston University.

Research Interests

Education

Selected Publications

2026

ICML 2026
IBMA: Information Bottleneck-Based Multimodal Alignment

Y Wang, Z Dong, D Sun, A. C. Silva, T Wu, Y Yang

International Conference on Machine Learning, 2026

ICASSP 2026
MM-NO: Learning Physical Operators from Heterogeneous Data Via Cross-Modal Attention Fusion

N Liu, J Chu, X Yan, Y Li, S. Y. Chen, Z Dong, C Yang

IEEE International Conference on Acoustics, Speech and Signal Processing, 2026

AAAI 2026
Sepprune: Structured Pruning for Efficient Deep Speech Separation

Y Li, K Li, X Yin, Z Yang, Z Dong, Z Yao, H Xu, Y Tian, Y Lu

Proceedings of the AAAI Conference on Artificial Intelligence, 2026

2025

ICCV 2025
Frequency-aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting

Y Li, C Yang, H Zeng, Z Dong, Z An, Y Xu, Y Tian, H Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ICASSP 2025
Prototype-driven Multi-feature Generation for Visible-infrared Person Re-identification

J Li, Q Zhen, Y Yang, Y Li, Z Dong, C Yang

IEEE International Conference on Acoustics, Speech and Signal Processing, 2025

2024

CIKM 2024
Pixel: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment

Z Dong, Q Long, Y Zhou, P Wang, Z Zhu, X Luo, Y Wang, P Wang, Y Zhou

Proceedings of the ACM International Conference on Information and Knowledge Management, 2024

Academic Service