SHUHONG (SHU) CHEN
website: shuhongchen.github.io
email: shuhong@terpmail.umd.edu
github: ShuhongChen

google scholar: link
linkedin: link

EDUCATION
PhD in Computer Science

BS in CS and Math (+ Econ minor)

University of Maryland, College Park, MD
2024 (May graduation, expected)

Rutgers University, New Brunswick, NJ
2019, Honors College, summa cum laude

Computer Vision / Graphics
Advisor: Prof. Matthias Zwicker, CS
Thesis: ML for NPR Illustration, Animation,and 3D Character Modeling

ML for Healthcare Informatics
Advisor: Prof. Ivan Marsic, ECE
Thesis: Event Alignment for Medical
Process Mining

CVPR, ECCV, SIGGRAPH Asia, etc. topvenue publication record, and collaboration
with both big tech (Meta, TikTok) and Japan’s
anime industry (OLM Digital, Arch Inc.)

An ICDM first-authorship and over adozen co-authorship collaborations,spanning process mining, NLP, and CV for
medical trauma resuscitations.

INDUSTRY EXPERIENCE
Meta, Research Scientist Intern
Mentors: Amit Kumar, Xiaoyu Xiang, Sreyas Mohan, Rakesh Ranjan
2023 August – 2024 March
Core AI Team - 3D Generation, ongoing work leveraging diffusion models to non-photorealistic
3D character reconstruction, animation, and editing.
TikTok/ByteDance, Research Scientist Intern
Mentors: Yiheng Zhu, Heng Wang, Yichun Shi
2022 May – 2022 NovemberIntelligent Creation & Computer Vision - Generation Team, worked on generative modeling of
3D VR character assets; specifically, stylized single-view 3D reconstruction from illustrated
character portraits.
MIT Lincoln Laboratory, Vision/ML Research Intern
Advisor: Dr. Michael Chan
2018 June – 2018 August
I have applied deep state-of-the-art techniques to active problems in Computer Vision.
Specifically, I have looked at automatically discovering recurrent neural network architecturesfor video action recognition. I was also a finalist at the lab’s Intern Innovative Idea Challenge.

ANIME INDUSTRY EXPERIENCE
Sakuga Prototype, Founder2024 January - present
Prototyping assistive tools for the Japanese anime pipeline (douga, shiage, etc.), using full-stackdevelopment (from ML training, to serving AWS backend, to designing drawing app front-end)
OLM Digital Inc., Research Collaborator
Supervisors: Maejima Akinobu, Marc Salvati, Tatsuo Yotsukura
2023 July - 2023 July
R&D Division, in-person in Setagaya, Tokyo. Worked on automatic cleanup of genga to douga.
Saw the production process first-hand, and trained models on real production data.
Arch Inc., Visiting Researcher
Affiliate contact: Jun Kato
2023 January - presentThanks to colleagues at Arch Inc. for setting me up as a visiting researcher, to help foster
collaboration with anime industry professionals in Japan.

SELECTED PUBLICATIONS
full list on google scholar (30+ articles)(CVPR 2023) Chen Shuhong, Zhang Kevin, Shi Yichun, Wang Heng, Zhu Yiheng, Song
Guoxian, An Sizhe, Kristjansson Janus, Yang Xiao, & Zwicker Matthias. (2023). StylizedSingle-view 3D Reconstruction from Portraits of Anime Characters.
(ECCV 2022) Chen Shuhong, & Zwicker Matthias. (2022). Improving the Perceptual Qualityof 2D Animation Interpolation.
(SIGGRAPH Asia 2022) Hadadan Saeed, Chen Shuhong, & Zwicker Matthias. (2022). NeuralRadiosity.
(WACV 2022) Chen Shuhong, & Zwicker Matthias. (2022). Transfer Learning for Pose
Estimation of Illustrated Characters.
(ICDM 2017) Chen Shuhong, Yang Sen, Zhou Moliang, Burd Randall S., Marsic Ivan.
“Process-oriented Iterative Multiple Alignment for Medical Process Mining.” (2017): ICDM
Workshop on Data Mining in Biomedical Informatics and Healthcare (DMBIH).

HONORS & AWARDS
2021 Honorable Mention, NSF Graduate Research Fellowship Program (graduate)2019 Honorable Mention, NSF Graduate Research Fellowship Program (undergrad)2019 Dean’s Fellowship, UMD Graduate School of Computer Science2019 Startup Allocation, XSEDE PSC Bridges
2018 Alan Marc Schreiber Memorial Scholarship, Rutgers SAS Excellence Award in Math2017 Grant for Conference Funding, Aresty Research Center2017 Grant for Conference Funding, Rutgers Dept. of Electrical & Computer Engineering
2015 Rutgers Trustee Scholarship, Rutgers University
2018 Top 6 Shark-Tank Finalist, MIT Intern Innovative Idea Challenge
2017 Best Healthcare Hack, HackRU F2017
2017 Best Use of Machine Learning (4th), HackRU F2017
2021 nominated for Sigma Xi Associate Membership2018 member of Phi Beta Kappa Honors Society
2017 member of Institute for Electrical and Electronics Engineering (IEEE)

TEACHING EXPERIENCE & MENTORSHIP
M2021 UMD AI4ALL Project Lead: Making Art with Neural Networks
S2020 TA CMSC417: Computer Networks, Prof. Nirupam Roy, UMD
F2019 TA CMSC132: OOP II, Prof. Nelson Pauda-Perez & Pedram Sadeghian, UMD
2016-2019 Lecturer, ML/AI Division Director, Rutgers IEEE E-Board
2016 Tutor, Math & Engineering, Rutgers OSS Educational Opportunity Fund2013-2016 TA Chinese Second Language, Huaxia Morris Chinese Academy
MS students advised:
2022: Eric Changzhi Li, Srinidhi Hegde
2021: Janus Thor Kristjansson, Jiaxuan Mary Wu

BS students advised:
2022: Andy Qu
2020: Nikhil Pateel

GRADUATE COURSE PROJECTS
SM-Scraper: Analysis and Visualization of Scraped Social Media ContentPartners: Deepti Bisht, Ophir Gal, Jerry Qian, and Yiheng Xu
S2021 UMD, Intro to Data Visualization, Prof. Leilani Battle
In association with the Full Disclosure Project
Adversarial Attack on Single-view 3D Reconstruction
Partners: Neha Kalibhat, Vedant Nanda
F2021 UMD, Visual Learning & Recognition, Prof. Abhinav Shrivastava
Exploring Lexical and Syntactic Features of Reddit Suicidality Data
Partners: Yow-Ting Shiue, Md Main Uddin Rony
S2020 UMD, Computational Linguistics II, Prof. Philip Resnik
Nori Ray-Tracer
S2020 UMD, Advanced Computer Graphics, Prof. Matthias Zwicker
Transflow: Image-to-Image Translation using Normalizing Flows
Partners: Vaishnavi Patil, Manas Agarwal
F2019 UMD, Machine Learning, Prof. Soheil Feizi
Finding Tree Structures in Deep NLP Models
Partners: Benjamin Black, William Chen, Xiaoyu Liu
F2019 UMD, Computational Linguistics I, Prof. Hal Daume
Incorporating Dependency Relations for Deep Question Answering
Partners: Karl Mulligan, Kevin Pei, Vishal Rohra
S2018 Rutgers, Natural Language Processing, Prof. Matthew Stone