Tee, Joshua Tian Jin

5 publications

NeurIPS 2025 A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models Joshua Tian Jin Tee, Hee Suk Yoon, Abu Hanif Muhammad Syarubany, Eunseop Yoon, Chang D. Yoo

ECCV 2024 BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Kang Zhang, Yu-Jung Heo, Du-Seong Chang, Chang D. Yoo

ICLR 2024 C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark A. Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo

TMLR 2024 Physics Informed Distillation for Diffusion Models Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon, Dhananjaya Nagaraja Gowda, Chanwoo Kim, Chang D. Yoo

ICLR 2023 ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo