Fangzhou Mu (穆方舟)

Department of Computer Sciences
University of Wisconsin-Madison
E-mail: fmu2@wisc.edu
CV | GitHub | Scholar | LinkedIn

I am a final-year Ph.D. student in Computer Sciences at the University of Wisconsin-Madison, advised by Prof. Yin Li. Previously, I received Master's degrees in Computer Sciences and Pharmaceutical Sciences from UW-Madison and a Bachelor's degree in Biology from Zhejiang University.

My research lies in computational photography & imaging, computer vision, and machine learning. I am particularly interested in AI for visual content creation and AI for emerging imaging technologies. I also work on scalable and resource-adaptive video understanding. In the past, I worked on machine learning and its application in bioinformatics.

I am looking for full-time industry positions!

Publication

	Learned Compressive Representations for Single-Photon 3D Imaging Felipe Gutierrez-Barragan, Fangzhou Mu, Andrei Ardelean, Atul Ingle, Claudio Bruschini, Edoardo Charbon, Mohit Gupta, Yin Li, Andreas Velten *ICCV 2023* paper \| code \| project page
	GLIGEN: Open-set Grounded Text-to-image Generation. Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee *CVPR 2023* paper \| code \| project page
	Physics to the Rescue: Deep Non-line-of-sight Reconstruction for High-speed Imaging Fangzhou Mu, Sicheng Mo, Jiayong Peng, Xiaochun Liu, Ji Hyun Nam, Siddeshwar Raghavan, Andreas Velten, Yin Li *ICCP 2022 (TPAMI Special Issue on Computational Photography)* paper \| code \| project page
	An Approachable, Flexible, and Practical Machine Learning Workshop for Biologists Chris S Magnano, Fangzhou Mu, Rosemary S Russ, Milica Cvetkovic, Debora Treu, Anthony Gitter *ISMB 2022* paper \| code \| project page
	3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li* (co-corresponding authors) CVPR 2022 (Oral)* paper \| code \| project page
	SMARTADAPT: Multi-branch Object Detection Framework for Videos on Mobiles Ran Xu, Fangzhou Mu, Jayoung Lee, Preeti Mukherjee, Somali Chaterji, Saurabh Bagchi, Yin Li *CVPR 2022* paper \| project page
	Gradients as Features for Deep Representation Learning Fangzhou Mu, Yingyu Liang, Yin Li *ICLR 2020* paper \| code \| project page
	The ml4bio Workshop: Machine Learning Literacy for Biologists Fangzhou Mu, Chris Magnano, Debora Treu, Anthony Gitter *GLBIO 2019* paper \| code (software) \| code (workshop) \| PyPI distribution
	Modeling Analysis of Potential Target of Dolastatin 16 by Computational Virtual Screening Tingting Liang, Qi Zhao, Shan He, Fangzhou Mu, Wei Deng, Bingnan Han *Chemical and Pharmaceutical Bulletin* paper
	CNS angiogenesis and barriergenesis occur simultaneously Robyn Umans, Hannah Henson, Fangzhou Mu, Chaithanyarani Parupalli, Bensheng Ju, Jennifer Peters, Kevin Lanham, Jessica Plavicki, Michael Taylor *Developmental Biology* paper

Experience

	OPPO US Research Center (Computational Photography Team) Research intern \| Manager: Yanli Liu Project: Personalization meets Controllability in Text-to-Image Diffusion June 2023 - Aug 2023
	Snap Research (Computational Imaging Team) Research intern \| Managers: Yicheng Wu and Jian Wang Project: Image Restoration for Face Captures in the Wild May 2022 - Aug 2022
	Snap Research (Computational Imaging Team) Research intern \| Manager: Shree Nayar Project: 3D Photo Stylization May 2021 - Aug 2021

	Learned Compressive Representations for Single-Photon 3D Imaging Felipe Gutierrez-Barragan, Fangzhou Mu, Andrei Ardelean, Atul Ingle, Claudio Bruschini, Edoardo Charbon, Mohit Gupta, Yin Li, Andreas Velten *ICCV 2023* paper \| code \| project page
	GLIGEN: Open-set Grounded Text-to-image Generation. Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee *CVPR 2023* paper \| code \| project page
	Physics to the Rescue: Deep Non-line-of-sight Reconstruction for High-speed Imaging Fangzhou Mu, Sicheng Mo, Jiayong Peng, Xiaochun Liu, Ji Hyun Nam, Siddeshwar Raghavan, Andreas Velten, Yin Li *ICCP 2022 (TPAMI Special Issue on Computational Photography)* paper \| code \| project page
	An Approachable, Flexible, and Practical Machine Learning Workshop for Biologists Chris S Magnano, Fangzhou Mu, Rosemary S Russ, Milica Cvetkovic, Debora Treu, Anthony Gitter *ISMB 2022* paper \| code \| project page
	3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li* (co-corresponding authors) CVPR 2022 (Oral)* paper \| code \| project page
	SMARTADAPT: Multi-branch Object Detection Framework for Videos on Mobiles Ran Xu, Fangzhou Mu, Jayoung Lee, Preeti Mukherjee, Somali Chaterji, Saurabh Bagchi, Yin Li *CVPR 2022* paper \| project page
	Gradients as Features for Deep Representation Learning Fangzhou Mu, Yingyu Liang, Yin Li *ICLR 2020* paper \| code \| project page
	The ml4bio Workshop: Machine Learning Literacy for Biologists Fangzhou Mu, Chris Magnano, Debora Treu, Anthony Gitter *GLBIO 2019* paper \| code (software) \| code (workshop) \| PyPI distribution
	Modeling Analysis of Potential Target of Dolastatin 16 by Computational Virtual Screening Tingting Liang, Qi Zhao, Shan He, Fangzhou Mu, Wei Deng, Bingnan Han *Chemical and Pharmaceutical Bulletin* paper
	CNS angiogenesis and barriergenesis occur simultaneously Robyn Umans, Hannah Henson, Fangzhou Mu, Chaithanyarani Parupalli, Bensheng Ju, Jennifer Peters, Kevin Lanham, Jessica Plavicki, Michael Taylor *Developmental Biology* paper