World's Best Scientists 2026 revealed!
Xuanzhe Liu

Xuanzhe Liu

D-Index & Metrics

Computer Science

D-Index
41
Citations
5736
World Ranking
8957
National Ranking
1153

Research.com Recognitions

  • 2020 - ACM Senior Member

Overview

Xuanzhe Liu is affiliated with Peking University in China and has contributed extensively to the field of computer science, with a primary focus on areas such as computer networks and communications, information systems, and artificial intelligence. The breadth of their research encompasses several subfields including computer vision, pattern recognition, and electrical and electronic engineering.

The scientist's work is notably present in various publication venues, including:

  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Services Computing
  • Science China Information Sciences

Xuanzhe Liu has collaborated frequently with several co-authors, including Gang Huang, Zhenpeng Chen, Xin Jin, Haoyu Wang, and Mengwei Xu. These collaborations reflect a consistent engagement with peers in the research community over time.

Their research spans a range of topics such as:

  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Advanced Neural Network Applications
  • Software System Performance and Reliability
  • Software Engineering Research
  • Topic Modeling
  • Privacy-Preserving Technologies in Data

Recent papers authored or co-authored by Xuanzhe Liu demonstrate a range of interests and publication outlets. Notable examples include:

  • "Self-Healing Hydrogel Embodied with Macrophage-Regulation and Responsive-Gene-Silencing Properties for Synergistic Prevention of Peritendinous Adhesion," 2021, Advanced Materials
  • "Rise of the Planet of Serverless Computing: A Systematic Review," 2023, ACM Transactions on Software Engineering and Methodology
  • "Enjoy your observability: an industrial survey of microservice tracing and analysis," 2021, Empirical Software Engineering
  • "The Case for FPGA-Based Edge Computing," 2020, IEEE Transactions on Mobile Computing
  • FaaSLight: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing," 2023, ACM Transactions on Software Engineering and Methodology

In addition to articles, Xuanzhe Liu has contributed to book publications, including a work titled "Blockchain and Trustworthy Systems," published by Springer Science+Business Media in 2021.

The scientist was recognized with the ACM Senior Member award in 2020, indicating a level of professional acknowledgement within the computing community.

Best Publications

  • Towards Service Composition Based on Mashup

    Xuanzhe Liu;Yi Hui;Wei Sun;Haiqi Liang

  • Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction

    Ziniu Hu;Weiqing Liu;Jiang Bian;Xuanzhe Liu

  • Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users

    Xuan Lu;Wei Ai;Xuanzhe Liu;Qian Li

  • A First Look at Deep Learning Apps on Smartphones

    Mengwei Xu;Jiawei Liu;Yuanqiang Liu;Felix Xiaozhu Lin

  • Refactoring android Java code for on-demand computation offloading

    Ying Zhang;Gang Huang;Xuanzhe Liu;Wei Zhang

  • DeepCache: Principled Cache for Mobile Deep Vision

    Mengwei Xu;Mengze Zhu;Yunxin Liu;Felix Xiaozhu Lin

  • A detailed and real-time performance monitoring framework for blockchain systems

    Peilin Zheng;Zibin Zheng;Xiapu Luo;Xiangping Chen

  • A first look at blockchain-based decentralized applications

    Kaidong Wu;Yun Ma;Gang Huang;Xuanzhe Liu

  • Discovering Homogeneous Web Service Community in the User-Centric Web Environment

    Xuanzhe Liu;Gang Huang;Hong Mei

  • Characterizing Smartphone Usage Patterns from Millions of Android Users

    Huoran Li;Xuan Lu;Xuanzhe Liu;Tao Xie

  • Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data

    Chengxu Yang;Qipeng Wang;Mengwei Xu;Zhenpeng Chen

  • DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning

    Mengwei Xu;Feng Qian;Mengze Zhu;Feifan Huang

  • Rise of the Planet of Serverless Computing: A Systematic Review

    Unknown

  • A comprehensive study on challenges in deploying deep learning based software

    Zhenpeng Chen;Yanbin Cao;Yuanqiang Liu;Haoyu Wang

  • From cloud to edge: a first look at public edge platforms

    Mengwei Xu;Zhe Fu;Xiao Ma;Li Zhang

  • Untangling emoji popularity through semantic embeddings

    Wei Ai;Xuan Lu;Xuanzhe Liu;Ning Wang

  • How Does Web Service API Evolution Affect Clients

    Jun Li;Yingfei Xiong;Xuanzhe Liu;Lu Zhang

  • Melon: breaking the memory wall for resource-efficient on-device machine learning

    Unknown

  • Enjoy your observability: an industrial survey of microservice tracing and analysis

    Bowen Li;Xin Peng;Qilin Xiang;Hanzhang Wang

  • Model-Based Automated Navigation and Composition of Complex Service Mashups

    Gang Huang;Yun Ma;Xuanzhe Liu;Yuchong Luo

  • Multi-resource interleaving for deep learning training

    Unknown

  • Integrating Resource Consumption and Allocation for Infrastructure Resources on-Demand

    Ying Zhang;Gang Huang;Xuanzhe Liu;Hong Mei

  • ShuffleDog: Characterizing and Adapting User-Perceived Latency of Android Apps

    Gang Huang;Mengwei Xu;Felix Xiaozhu Lin;Yunxin Liu

  • iMashup: a mashup-based framework for service composition

    Xuan Zhe Liu;Gang Huang;Qi Zhao;Hong Mei

  • Through a Gender Lens: An Empirical Study of Emoji Usage over Large-Scale Android Users.

    Zhenpeng Chen;Xuan Lu;Sheng Shen;Wei Ai

Frequent Co-Authors

Gang Huang
Gang Huang Peking University
Hong Mei
Hong Mei Peking University
Qiaozhu Mei
Qiaozhu Mei University of Michigan–Ann Arbor
Tao Xie
Tao Xie Peking University
Xiapu Luo
Xiapu Luo Hong Kong Polytechnic University
Feng Qian
Feng Qian University of Southern California
Shangguang Wang
Shangguang Wang Beijing University of Posts and Telecommunications
Kaigui Bian
Kaigui Bian Peking University
Tie-Yan Liu
Tie-Yan Liu Microsoft (United States)
Xuxian Jiang
Xuxian Jiang PeckShield

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