Rethinking Atmospheric Turbulence Mitigation. - Nicholas Chimitt; Zhiyuan Mao; Guanzhe Hong; Stanley H. Chan (CoRR, 2019)

Student-Teacher Learning From Clean Inputs to Noisy Inputs. - Guanzhe Hong; Zhiyuan Mao; Xiaojun Lin 001; Stanley H. Chan (CVPR, 2021)

Towards Understanding the Effect of Pretraining Label Granularity. - Guanzhe Hong; Yin Cui; Ariel Fuxman; Stanley H. Chan; Enming Luo (CoRR, 2023)

Why Fine-grained Labels in Pretraining Benefit Generalization? - Guanzhe Hong; Yin Cui; Ariel Fuxman; Stanely Chan; Enming Luo (CoRR, 2024)

How Transformers Solve Propositional Logic Problems: A Mechanistic Analysis. - Guanzhe Hong; Nishanth Dikkala; Enming Luo; Cyrus Rashtchian; Xin Wang 016; Rina Panigrahy (CoRR, 2024)

Why Fine-grained Labels in Pretraining Benefit Generalization? - Guanzhe Hong; Yin Cui; Ariel Fuxman; Stanley H. Chan; Enming Luo (Trans. Mach. Learn. Res., 2024)

Latent Concept Disentanglement in Transformer-based Language Models. - Guanzhe Hong; Bhavya Vasudeva; Vatsal Sharan; Cyrus Rashtchian; Prabhakar Raghavan; Rina Panigrahy (CoRR, 2025)