Zihao Zhou
Machine Learning PhD Student
Research interests
Deep learning, Deep generative models, Spatiotemporal modeling,
Point Process, Time-series Forecasting, Anomaly Detection
Education
Sep 2022 - Now
University of California, San Diego
- PhD student in Computer Science
- Advisor: Rose Yu
Sep 2020 - Mar 2022
University of California, San Diego
- MS in Computer Science
- GPA: 4.0
- Advisor: Rose Yu
Aug 2016 - Jun 2020
University of California, San Diego
- BS in Applied Math
- BS in Cognitive Science Spec. in Machine Learning
- Minor in Computer Science.
- Magna Cum Laude
- GPA: 3.941 / 4.0, Major GPA: 4.0
Publications
[1] Zhou, Z. & Yu. R., Automatic Integration for Spatiotemporal Neural Point Processes., Neural Information Processing Systems (NeurIPS), 2023
[2] Zhou, Z. & Yu, R., Automatic Integration for Fast and Interpretable Neural Point Processes., Learning for Dynamics and Control (L4DC), 2023
[3] Li, A.*, Zhou, Z.*, Jortberg, E. & Yu, R., Generalization of Deep Sequence Models for Forecasting Aortic Pressure Cross Cohort., Computing in Cardiology (CinC), 2022 (* equal contribution)
[4] Zhou, Z., Yang, X., He, X., Rossi, R., Zhao, H., & Yu, R., Neural Point Process for Learning Spatiotemporal Event Dynamics., Learning for Dynamics and Control (L4DC), 2022
[5] Zhang, H., Zhou, Z., Orso, P., Pham, D., Montenegro, H., … & Caso, J. Triton RCSC 2021 Team Description Paper., Robocup Small Size League (RCSSL), 2021
Awards / Honors
Sep 2019 - Jul 2021
Robocup SSL Team TritonsRCSC Software Team Leader
TritonsRCSC homepage | Github codebase | Poster
· TritonRCSC is the first UCSD team that receives qualification for competing in the RoboCup Small Size League
· Designed the team software architecture (Java/C++ socket-based) and coordinated the development [4]
· Implemented the robot’s path search, obstacle avoidance, motion prediction and ball passing algorithms
Jun 2020 - Present
Phi Beta Kappa Honor Society Membership
Jun 2019 - Aug 2019
China National Smart Weather Service
Innovation Competition, 2nd Prize
Sep 2016 - Jun 2020
UCSD Provost Honor
Teaching Experience
Sep 2021 - Dec 2021
Teaching Assistant
Principles of Artificial Intelligence, CSE 250A, UCSD
Sep 2019 - Dec 2019
Instructional Assistant
Intro to Machine Learning II, COGS 118B, UCSD
Industry Experience
Jun 2019 - Aug 2019
ML Research Engineer Intern, Mininglamp Tech. Gr.
· Surveyed the current state of the art of deep temporal point process, with an emphasis on modeling dynamic knowledge graph
· Filed a patent on user identity linkage system from heterogeneous trajectories using a new trajectory similarity measure
Skills
System Admin
UCSD CSE Shared Server Admin, Rose Lab Server Admin
Benchmarked the Nautilus supercomputer cluster
Software Dev
Linux, Git, PyCharm, IntelliJ, VS Code, Amazon EC2, Amazon S3
Coding
Python, Java, MatLab, C/C++, R, VueJS
Media
HTML, NodeJS, LaTex, Photoshop, Illustrator, Vegas, Final Cut Pro
Last updated: Dec 2023