Dr. Xu, Jiayi (徐佳逸)
Jiayi Xu is a senior research scientist at Meta AI. Jiayi received his Ph.D. degree in computer science and engineering from The Ohio State University, where he was part of the GRAVITY research group and was advised by Prof. Han-Wei Shen. Jiayi received his bachelor's degree in computer science and technology from Chu Kochen Honors College, Zhejiang University. Jiayi aims to augment human capabilities, explore scientific principles, and bring the world closer through computational techniques.
Jiayi was the recipient of Best Paper Award at the 14th IEEE Pacific Visualization Symposium (IEEE PacificVis 2021) and Best Paper Honorable Mention Award at the IEEE Visualization Conference 2022 (IEEE VIS 2022). Jiayi has coauthored 10 papers in top-tier venues, including IEEE TVCG, IEEE VIS, and CGF.
Research Interest
High-Performance Data Analysis, Visualization, and Machine Learning
Graph/Network Analysis, Visualization, and Learning
Reinforcement Learning
Distributed and Parallel Computing
Selected Publications
Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueyun Wang, Xueqiao Xu, Zhehui Wang, Tom Peterka
Best Paper Award at the 14th IEEE Pacific Visualization Symposium (PacificVis 2021)
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 27(6): 2808-2820, 2021.
[arXiv][DOI][Presentation][Blurb][Award]
VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations
Neng Shi, Jiayi Xu, Haoyu Li, Hanqi Guo, Jonathan Woodring, Han-Wei Shen
Best Paper Honorable Mention Award at the IEEE Visualization Conference 2022 (IEEE VIS 2022)
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 29(1): 820-830, 2023. (Proc. IEEE VIS 2022)
[arXiv][DOI][Suppl. Video][GitHub][Preview][Presentation][Award]
Reinforcement Learning for Load-balanced Parallel Particle Tracing
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar W. Wurster, Tom Peterka
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 29(6): 3052-3066, 2023.
[arXiv][DOI][preview][presentation][VIS 2022 Session Recording]
Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers
Jiayi Xu, Soumya Dutta, Wenbin He, Joachim Moortgat, Han-Wei Shen
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 28(3): 1514-1528, 2022.
[arXiv][DOI][preview][presentation]
Experience
Research
- Mar 2022 - current: Research Scientist at Meta AI
- May 2021 - Aug 2021: Intern at Facebook AI Applied Research (FAIAR), Mentor: Dr. Yen-Jung Chang
- May 2019 - Aug 2019: Intern at Argonne National Laboratory (ANL), Mentors: Dr. Hanqi Guo and Dr. Tom Peterka
- May 2018 - Aug 2018: Intern at Los Alamos National Laboratory (LANL), Mentor: Dr. Jonathan Lee Woodring
- Sep 2014 - Jun 2015: Research Assistant at VisLab of HKUST and Noah's Ark Lab, Advisor: Prof. Huamin Qu
- Jul 2013 - Dec 2013: Visiting Scholar at VIDI Lab of UC-Davis, Advisor: Prof. Kwan-Liu Ma
- Sep 2010 - Jun 2014: Undergraduate Research Assistant at VAG, State Key Lab of CAD&CG of ZJU, Advisors: Prof. Wei Chen and Prof. Hujun Bao
Teaching at The Ohio State University
Instructor
- Spring 2021: CSE 5541/3541: Computer Game and Animation Techniques
- Autumn 2017: CSE 1110: Introduction to Computing Technology
Teaching Assistant
- Spring 2018: CSE 5544: Introduction to Data Visualization
- Spring 2016: CSE 2331: Foundations II: Data Structures and Algorithms
- Autumn 2015: CSE 5241/3241: Introduction to Database Systems
Academic Services
Journal Paper Reviewer
- IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020-2021
- ACM Transactions on Graphics (TOG), 2020
- Computer Graphics Forum (CGF), 2020-2021
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Conference Paper Reviewer
- IEEE Visualization Conference (VIS), 2022 (3)
- Eurographics/IEEE VGTC Symposium on Visualization (EuroVis), 2018, 2021-2022
- IEEE Pacific Visualization Symposium (PacificVis), 2019-2021, 2022 (2), 2023
- International Symposium on Visual Computing (ISVC), 2021
- China Visualization and Visual Analytics Conference (ChinaVis), 2019 and 2021
Presentations
Plenary Presentations
- "Reinforcement Learning for Load-balanced Parallel Particle Tracing", IEEE Visualization Conference (IEEE VIS), Oklahoma City, Oklahoma, USA, October 16-21, 2022. [recording]
- "Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis", IEEE Pacific Visualization Symposium (IEEE PacificVis), Tianjin, China, April 19-21, 2021. [recording]
- "Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers", IEEE Visualization Conference (IEEE VIS), Salt Lake City, Utah, USA, October 24-29, 2020. [recording]
Invited Presentations
- "Neural Network Pruning: A Short Survey Centering on Lottery-Ticket-Hypothesis", Facebook AI Machine Learning Foundation seminar, Virtual, July 29, 2021.