Kuan-Chieh (Jackson) Wang
Bio
Hi! I am a Research Scientist at Snap Research in Palo Alto, where I work on generative models. My team and I are looking for interns. Feel free to reach out to me directly as well!
Before joining Snap, I was a postdoc at Stanford CS and the Wu Tsai Human Performance Alliance where I worked closely with Prof. Serena Yeung, Prof. C. Karen Liu, and Prof. Scott Delp. I did my Ph.D. at the University of Toronto advised by Prof. Rich Zemel.
Preprints
- preprint"Open World Object Detection in the Era of Foundation Models" In 2023 π Paper π Project Page π Code
- preprint"Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models" In 2023 π Paper π Project Page π Code
Publications
2024
- SIGGRAPH
2023
- NeurIPS D&B
- ICCV
- CVPR"NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action" In CVPR 2023 -- Highlight (2.5% of submissions) π Paper π Project Page π Code
- CVPR
- ICLR
2022
- 3DV"Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery" In 3DV 2022 π Paper π Code
- COLLA"Disentanglement and generalization under correlation shifts" In Conference on Lifelong Learning Agents 2022 π Paper
2021
- NeurIPS
- NeurIPS"Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation" In NeurIPS 2021 π Paper π Code
- AISTATS"Understanding and mitigating exploding inverses in invertible neural networks" In AISTATS 2021 π Paper π Code
2020
- ICML"Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling" In ICML 2020 π Paper π Code
- ICLR"Your classifier is secretly an energy based model and you should treat it like one" In ICLR 2020 -- Oral π Paper π Code
2019
- ICLRw"Customizable Facial Gesture Recognition For Improved Assistive Technology" In ICLR AI for Social Good Workshop 2019 π HTML
- ICLRw"Towards Few-Shot Out-of-Distribution Detection" In ICLR Safe Machine Learning Workshop 2019 π HTML
- "Lingvo: a modular and scalable framework for sequence-to-sequence modeling" Technical Report 2019 π Paper π Code
- ICASSP
2018
- ICML
- ICML
2017
- NeurIPS
2016
- SSAC"Classifying NBA offensive plays using neural networks" In MIT Sloan Sports Analytics Conference 2016 π Paper
Professional Experience
I was
- an intern at Google Brain (MTV, TOR) in 2018 hosted by Chung-Cheng Chiu. We worked on speech recognition together.
- a research student working with the Toronto Raptorsβ analysts Keith Boyarsky and Eric Khoury. My mom likes to believe that the Toronto Raptors getting better, and eventually winning the Championship in 2019 had something to do with my research. π€
- a ML consultant at SmartFinance LLC, a start-up Rich co-founded. We had some fun trying to make finance easier with ML.