2026 d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood Estimation Guanghan Wang, Gilad Turok, Yair Schiff, Marianne Arriola, and Volodymyr Kuleshov ICML, 2026 arXiv Blog Code 2025 The Diffusion Duality Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin Chiu, and Volodymyr Kuleshov ICML, 2025 arXiv Blog Code STEAMBOAT: Attention-based Multiscale Delineation of Cellular Interactions in Tissues Shaoheng Liang, Junjie Tang, Guanghan Wang, and Jian Ma RECOMB, 2025 DOI Code Remasking Discrete Diffusion Models with Inference-Time Scaling Guanghan Wang*, Yair Schiff*, Subham Sekhar Sahoo, and Volodymyr Kuleshov NeurIPS, 2025 arXiv Video Blog Code Simple Guidance Mechanisms for Discrete Diffusion Models Yair Schiff*, Subham Sekhar Sahoo*, Hao Phung*, Guanghan Wang*, Sam Boshar, Hugo Dalla-torre, Bernardo P Almeida, Alexander Rush, Thomas Pierrot, and Volodymyr Kuleshov ICLR, 2025 arXiv Video Blog Code 2023 Language-Assisted 3D Feature Learning for Semantic Scene Understanding Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, and Li Yi AAAI (oral), 2023 arXiv Code