See Google Scholar for an exhaustive list.

2025

1. ICML

   "I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models" Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, and Dan Xu In ICML 2025
2. CVPR

   "Omni-id: Holistic identity representation designed for generative tasks" Guocheng Qian, Kuan-Chieh Wang, Or Patashnik, Negin Heravi, Daniil Ostashev, Sergey Tulyakov, Daniel Cohen-Or, and Kfir Aberman In CVPR 2025

2024

1. NeurIPS

   "Interpreting the weight space of customized diffusion models" Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei Efros, and Kfir Aberman In NeurIPS 2024
2. SIGA

   "MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation" Kuan-Chieh Wang, Daniil Ostashev, Yuwei Fang, Sergey Tulyakov, and Kfir Aberman In SIGGRAPH Asia 2024 📄 Paper 🌐 Project Page
3. SIGGRAPH

   "Iterative Motion Editing with Natural Language" Purvi Goel, Kuan-Chieh Wang, C Karen Liu, and Kayvon Fatahalian In SIGGRAPH 2024 📄 Paper 🌐 Project Page
4. ECCV

   "Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models" James Burgess, Kuan-Chieh Wang, and Serena Yeung In ECCV 2024 📄 Paper 🌐 Project Page 🛠 Code

2023

1. CVPR

   "PROB: Probabilistic Objectness for Open World Object Detection" Orr Zohar, Kuan-Chieh Wang, and Serena Yeung In CVPR 2023 📄 Paper 🛠 Code
2. ICLR

   "DrML: Diagnosing and Rectifying Vision Models using Language" Yuhui Zhang, Jeff Z HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, and Serena Yeung In ICLR 2023 📄 Paper 🛠 Code