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)

Language-Assisted 3D Feature Learning for Semantic Scene Understanding. - Junbo Zhang; Guofan Fan; Guanghan Wang; Zhengyuan Su; Kaisheng Ma; Li Yi (AAAI, 2023)

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)

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 (ICLR, 2025)

Steamboat: Attention-Based Multiscale Delineation of Cellular Interactions in Tissues. - Shaoheng Liang; Junjie Tang; Guanghan Wang; Jian Ma 004 (RECOMB, 2025)

Remasking Discrete Diffusion Models with Inference-Time Scaling. - Guanghan Wang; Yair Schiff; Subham Sekhar Sahoo; Volodymyr Kuleshov (CoRR, 2025)

The Diffusion Duality. - Subham Sekhar Sahoo; Justin Deschenaux; Aaron Gokaslan; Guanghan Wang; Justin T. Chiu; Volodymyr Kuleshov (CoRR, 2025)