Kuan-Chieh (Jackson) Wang
Bio
Hi! I am a Research Scientist at Snap Research in Palo Alto, where I lead a team focused on personalization in generative models. We are broadly interested in tailoring generative models for individualized, interactive experiences. We’re hiring for both full-time roles and 2026 internships — feel free to reach out!
Prior to Snap, I was a postdoctoral researcher at Stanford Computer Science and the Wu Tsai Human Performance Alliance, where I worked closely with Professors Serena Yeung, C. Karen Liu, and Scott Delp on 4D human reconstruction and generation. I completed my Ph.D. at the University of Toronto, advised by Professor Rich Zemel, with a focus on generative models and few-shot learning.
Selected Publications
See Google Scholar for an exhaustive list.
2025
- ICML"I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models" In ICML 2025
- CVPR"Omni-id: Holistic identity representation designed for generative tasks" In CVPR 2025
2024
- NeurIPS"Interpreting the weight space of customized diffusion models" In NeurIPS 2024
- SIGA"MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation" In SIGGRAPH Asia 2024 📄 Paper 🌐 Project Page
- SIGGRAPH
- ECCV"Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models" In ECCV 2024 📄 Paper 🌐 Project Page 🛠 Code
2023
Last updated: June 2025