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Shengze Wang 王晟泽

First-year Computer Science Ph.D. Student @ UCSC

Brief Bio
Brief Bio

Hello! This is Shengze (William) Wang, a first-year Computer Science Ph.D. student at the Baskin School of Engineering, UC Santa Cruz. My research interests revolve around Computer Networks & Distributed Systems and their applications in Edge Computing, Learned Systems, Connected Autonomous Vehicles, and High-Performance Computing.

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Education
2023 - Present
University of California, Santa Cruz (UCSC) - San Francisco Bay Area

Ph.D. in Computer Science & Engineering; Regents Fellowship

2020 - 2023
University of North Texas (UNT) - Dallas Fort Worth Metroplex

B.S. in Computer Science; GPA: 4.0, Top 1%; CSCE Outstanding Student; President’s List

2019
King's College London (KCL) - London

Visiting Student in Computer Science; Grade: 95/100

Experience
2023 - Present
Graduate Student Researcher - UCSC
2022
Research Mentor - UNT
2021 - 2023
Research Assistant - UNT

PROFESSIONAL SERVICES

Selected Publications

S. Wang, S. Feng, C. Pan and X. Guo, "FineFDR: Fine-grained Taxonomy-specific False Discovery Rates Control in Metaproteomics," 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 2022, pp. 287-292, doi: 10.1109/BIBM55620.2022.9995401. [pdf] [code] [slide]

S. Tang, S. Wang, S. Fu, and Q. Yang, "Perception Workload Characterization and Prediction on the Edges with Memory Contention for Connected Autonomous Vehicles," in 2023 IEEE International Conference on Edge Computing and Communications (EDGE), Chicago, IL, USA, 2023 pp. 104-114.
doi: 10.1109/EDGE60047.2023.00026 [pdf] [code] [slide]

TECHNICAL SKILLS

Languages & Databases: C/C++, Python, JAVA, R, SQL, MySQL, MongoDB, Redis

Platforms & Tools: Linux, ROS, Supercomputers (TACC), AWS, Azure, GCP, Alibaba Cloud, Docker, Git

Frameworks: PyTorch, TensorFlow, Keras, OpenCV, scikit-learn, Autoware, scipy, NodeJS,  React, Vue.js

CAV-REU2022-01
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