Shengze Wang 王晟泽

Computer Science Ph.D. Student @ UCSC

Computer Networks and Systems Researcher & Enthusiast

AI Infrastructure, Systems for AI, AI for Systems & DB

Brief Bio

Hello! This is Shengze (William) Wang, a 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 AI Infrastructure (Systems for AI), AI for Systems & DB, Datacenter Networks, Edge Computing, and Connected Autonomous Vehicles.

Email: [email protected]
Base: San Francisco Bay Area

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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; BE Dean's 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 (Top 1 of Class 2023); President’s List

2019

King's College London (KCL) - London

Visiting Student in Computer Science; Grade: 95/100

PROFESSIONAL SERVICES

Reviewer of Journals:

IEEE Transactions on Dependable and Secure Computing (TDSC)

Reviewer of Conferences:

IEEE International Conference on Computer Communications (INFOCOM)

Selected Publications

Shengze Wang, Yi Liu, Xiaoxue Zhang, Liting Hu, and Chen Qian, "Poster: Distributed Learned Hash Table," 2024 IEEE 32nd International Conference on Network Protocols (IEEE ICNP 2024), Charleroi, Belgium [pdf] [poster] [code:to_be_released]

Yifan Hua, Shengze Wang, Xiaoxue Zhang, Daniel Zhu, Arthur Cheong, Karan Mohindroo, Allan Dewey, and Chen Qian, "CALID: Collabrative Accelerate LLM Inference with Draft Model with Filter Decoding," BayLearn 2024 - Machine Learning Symposium, Apple Headquarters, Cupertino, CA, USA [pdf] [poster] [code:to_be_released]

Sicong Huang, Qianqi Yan, Shengze Wang, and Ian Lane, "Improving the Faithfulness of LLM-based Summarization with Unlikelihood Training," BayLearn 2024 - Machine Learning Symposium, Apple Headquarters, Cupertino, CA, USA [pdf] [poster] [dataset:to_be_released]

Sihai Tang, Shengze Wang (Co-first Author), Song Fu, and Qing 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 (IEEE EDGE 2023), Chicago, IL, USA, 2023 pp. 104-114.
doi: 10.1109/EDGE60047.2023.00026 [pdf] [code] [slide]

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

TECHNICAL SKILLS

Languages & Databases: C/C++, Rust, Python, eBPF, Redis, Cassandra, DynamoDB, Milvus, Pinecone, HDFS, SQL

Platforms & Tools: Linux, Network Operating Systems, ROS, HPCs, AWS, Azure, GCP, Ray, Apache Spark, Kafka, ns-3, P4 Switch, RDMA, CUDA, FPGAs, vLLM, llama.cpp, PyTorch, scikit-learn, Transformers, OpenAI API, Docker, Git

Highlights: Applied AI for Systems & Databases, Scalable Key-Value Storage, LLM Inference & ML System Design, MLOps &Production Deployment, Advanced Network Protocols & Security, Workload Characterization & Balancing, Content Delivery & High-Performance Networks, ML Stream Processing & Real-Time Analytics,Hashing Algorithms, Edge-Cloud Systems