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Harry Xu is a Professor in the Department of Computer Science at the University of California, Los Angeles. His research interests include software engineering, programming languages and compilers, runtime systems, distributed operating systems, and computer architecture. He has contributed to notable publications and conferences, including ACM SIGOPS Symposium on Operating Systems Principles and ACM SIGPLAN Conference on Programming Language Design and Implementation. His work focuses on improving efficiency and scalability in big data processing and memory management for large-scale systems.


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Harry Xu is a Professor of Computer Science at the University of California, Los Angeles, with research interests spanning Operating System, Data Analytics, Distributed System, Machine Learning System, Cloud Computing. His work focuses on developing efficient and scalable systems for real-time video analytics, distributed deep graph learning, and memory management in large-scale applications. Xu's research emphasizes optimizing resource usage, improving performance, and enabling scalable solutions for data-intensive tasks. His publications explore topics such as memory leak detection, garbage collection, and graph processing, with a focus on practical applications in cloud and edge computing environments.

Source: google_scholar · 94 words
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