Guanghan Wang

According to our database, Guanghan Wang authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Joint Learning of Confidence Fusion, Semantic Alignment and Group-Guided Reliability: A Novel Semi-Supervised Learning Framework for 3D Medical Image Segmentation.

Xinghu Zhou, Guanghan Wang, Yuanzhi Cheng, Zixuan Wang, Xin Wang, Guohua Wang, Shinichi Tamura

IEEE J. Biomed. Health Informatics, March, 2026

Learn from Your Mistakes: Self-Correcting Masked Diffusion Models.

Yair Schiff, Omer Belhasin, Roy Uziel, Guanghan Wang, Marianne Arriola, Gilad Turok, Michael Elad, Volodymyr Kuleshov

CoRR, February, 2026

Multi-model co-training for medical image segmentation with limited annotation.

Yuanzhi Cheng, Xinghu Zhou, Guanghan Wang

Pattern Recognit., 2026

2025

d2: Improved Techniques for Training Reasoning Diffusion Language Models.

Guanghan Wang, Yair Schiff, Gilad Turok, Volodymyr Kuleshov

CoRR, September, 2025

Steamboat: Attention-Based Multiscale Delineation of Cellular Interactions in Tissues.

Shaoheng Liang, Junjie Tang, Guanghan Wang, Jian Ma

Proceedings of the Research in Computational Molecular Biology, 2025

Remasking Discrete Diffusion Models with Inference-Time Scaling.

Guanghan Wang, Yair Schiff, Subham S. Sahoo, Volodymyr Kuleshov

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

The Diffusion Duality.

Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin T. Chiu, Volodymyr Kuleshov

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Simple Guidance Mechanisms for Discrete Diffusion Models.

Yair Schiff, Subham Sekhar Sahoo, Hao Phung, Guanghan Wang, Sam Boshar, Hugo Dalla-torre, Bernardo P. de Almeida, Alexander M. Rush, Thomas Pierrot, Volodymyr Kuleshov

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Simple Guidance Mechanisms for Discrete Diffusion Models.

Yair Schiff, Subham Sekhar Sahoo, Hao Phung, Guanghan Wang, Sam Boshar, Hugo Dalla-torre, Bernardo P. de Almeida, Alexander Rush, Thomas Pierrot, Volodymyr Kuleshov

CoRR, 2024

2023

Language-Assisted 3D Feature Learning for Semantic Scene Understanding.

Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples.

Adelin Travers, Lorna Licollari, Guanghan Wang, Varun Chandrasekaran, Adam Dziedzic, David Lie, Nicolas Papernot

CoRR, 2021