Publications

Selected publications from the GSIL, organized by year.

2026

Pursuing Minimal Sufficiency in Spatial Reasoning

Y. Guo, Y. Hou, W. Ma, M. Tang, M. H. Yang

ICLR 2026 — International Conference on Learning Representations

Paper Code

2025

Can Contrastive Learning Improve Class-Imbalanced Diffusion Model?

F. Chen, A. Villa, G. Liang, X. Lu, M. Tang

arXiv preprint arXiv:2507.09052

Paper
ReDistill: Residual Encoded Distillation for Peak Memory Reduction

F. Chen, G. Datta, M. A. Rafi, H. Jeon, M. Tang

Transactions on Machine Learning Research (TMLR)

Paper Code
Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects

W. Qiu, J. Wang, M. Tang

CVPR 2025 — IEEE/CVF Conference on Computer Vision and Pattern Recognition

Project Paper Code

2024

Latent Space Editing in Transformer-Based Flow Matching

V. T. Hu, W. Zhang, M. Tang, P. Mettes, D. Zhao, C. Snoek

AAAI 2024 — Proceedings of the AAAI Conference on Artificial Intelligence, 38(3), 2247–2255

Paper Code
Training Class-Imbalanced Diffusion Model Via Overlap Optimization

D. Yan, L. Qi, V. T. Hu, M. H. Yang, M. Tang

arXiv preprint arXiv:2402.10821

Paper

2023

ScribbleGen: Generative Data Augmentation Improves Scribble-Supervised Semantic Segmentation

J. Schnell, J. Wang, L. Qi, V. T. Hu, M. Tang

arXiv preprint arXiv:2311.17121

Paper Code
Decepticon: Attacking Secrets of Transformers

M. Al Rafi, Y. Feng, F. Yao, M. Tang, H. Jeon

IISWC 2023 — IEEE International Symposium on Workload Characterization, pp. 128–139

Paper