Zihao Zhou
Incoming Computer Science PhD Student
Currently
Standing on the shoulders of giants
Research interests
Spatiotemporal dynamics modeling, deep point process, robotics
Education
Sep 2020 - Mar 2022
University of California, San Diego
- MS in Computer Science
- Readmitted as PhD in CSE for Fall 2022
- 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] Li, A.*, Zhou, Z.*, Jortberg, E. & Yu, R., Generalization of Deep Sequence Models for Forecasting Aortic Pressure Cross Cohort., Under submission, 2022 (* equal contribution)
[2] Zhou, Z. & Yu, R., Automatic Integration for Fast and Interpretable Neural Point Processes., Under submission, 2022
[3] 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 (To appear)
[4] 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
Work Experience
On-campus
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
Off-campus
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
Jun 2018 - Aug 2018
Java SoftDev Intern, China GreatWall Tech. Gr.
Skills
Software Dev
Linux, Git, Eclipse, IntelliJ, VS Code, Amazon EC2
Coding
Python, Java, MatLab, C/C++, R
Media
HTML, NodeJS, LaTex, Photoshop, Vegas, Final Cut Pro
Last updated: April 2022