World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
5620
World Ranking
8527
National Ranking
1115

Overview

Zichuan Xu is affiliated with Dalian University of Technology in China and has contributed extensively to research in computer science and engineering. Their scholarly work encompasses a range of subfields including computer networks and communications, computer vision and pattern recognition, electrical and electronic engineering, artificial intelligence, and information systems.

The primary focus areas of Xu's research include IoT and edge/fog computing, software-defined networks and 5G, age of information optimization, caching and content delivery, multimodal machine learning applications, human pose and action recognition, and IoT networks and protocols.

Xu has published in several peer-reviewed venues, often appearing in:

  • IEEE Transactions on Mobile Computing
  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE/ACM Transactions on Networking
  • IEEE Transactions on Parallel and Distributed Systems

Among recent significant papers by Xu are:

  • "Energy-Aware Inference Offloading for DNN-Driven Applications in Mobile Edge Clouds" (2020) published in IEEE Transactions on Parallel and Distributed Systems

Other notable recent papers in related research fields, though authored by collaborators, include:

  • "Data Collection Maximization in IoT-Sensor Networks via an Energy-Constrained UAV" (2021) published in IEEE Transactions on Mobile Computing
  • "Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism" (2021) published in IEEE Transactions on Mobile Computing
  • "A Resource-Constrained and Privacy-Preserving Edge-Computing-Enabled Clinical Decision System: A Federated Reinforcement Learning Approach" (2021) published in IEEE Internet of Things Journal
  • "Efficient Algorithms for Delay-Aware NFV-Enabled Multicasting in Mobile Edge Clouds With Resource Sharing" (2020) published in IEEE Transactions on Parallel and Distributed Systems

Zichuan Xu has collaborated frequently with a number of researchers, including:

  • Weifa Liang
  • Pan Zhou
  • Wenzheng Xu
  • Qiufen Xia
  • Xiaohua Jia

This network of coauthors reflects interactions across various aspects of wireless communication, edge computing, and machine learning applications.

The breadth of Xu's work spans nearly 200 publications in computer science and over 40 in engineering disciplines. Xu contributes to advancing multiple research topics central to the development of intelligent networks and distributed computing systems.

Best Publications

  • Efficient Algorithms for Capacitated Cloudlet Placements

    Zichuan Xu;Weifa Liang;Wenzheng Xu;Mike Jia

  • Live Migration for Multiple Correlated Virtual Machines in Cloud-Based Data Centers

    Gang Sun;Dan Liao;Dongcheng Zhao;Zichuan Xu

  • Cloudlet load balancing in wireless metropolitan area networks

    Mike Jia;Weifa Liang;Zichuan Xu;Meitian Huang

  • Context-aware Biaffine Localizing Network for Temporal Sentence Grounding

    Daizong Liu;Xiaoye Qu;Jianfeng Dong;Pan Zhou

  • Cost-Efficient NFV-Enabled Mobile Edge-Cloud for Low Latency Mobile Applications

    Binxu Yang;Wei Koong Chai;Zichuan Xu;Konstantinos V. Katsaros

  • Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization

    Daizong Liu;Xiaoye Qu;Xiao-Yang Liu;Jianfeng Dong

  • Maximizing Sensor Lifetime with the Minimal Service Cost of a Mobile Charger in Wireless Sensor Networks

    Wenzheng Xu;Weifa Liang;Xiaohua Jia;Zichuan Xu

  • Approximation Algorithms for Charging Reward Maximization in Rechargeable Sensor Networks via a Mobile Charger

    Weifa Liang;Zichuan Xu;Wenzheng Xu;Jiugen Shi

  • Data Collection Maximization in IoT-Sensor Networks Via an Energy-Constrained UAV

    Yuchen Li;Weifa Liang;Wenzheng Xu;Zichuan Xu

  • Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism

    Jing Li;Weifa Liang;Yuchen Li;Zichuan Xu

  • Energy-Aware Inference Offloading for DNN-Driven Applications in Mobile Edge Clouds

    Zichuan Xu;Liqian Zhao;Weifa Liang;Omer F. Rana

  • Memory-Guided Semantic Learning Network for Temporal Sentence Grounding

    Unknown

  • Capacitated cloudlet placements in Wireless Metropolitan Area Networks

    Zichuan Xu;Weifa Liang;Wenzheng Xu;Mike Jia

  • Fine-grained Iterative Attention Network for Temporal Language Localization in Videos

    Xiaoye Qu;Pengwei Tang;Zhikang Zou;Yu Cheng

  • A Resource-Constrained and Privacy-Preserving Edge-Computing-Enabled Clinical Decision System: A Federated Reinforcement Learning Approach

    Zeyue Xue;Pan Zhou;Zichuan Xu;Xiumin Wang

  • Maximizing User Service Satisfaction for Delay-Sensitive IoT Applications in Edge Computing

    Jing Li;Weifa Liang;Wenzheng Xu;Zichuan Xu

  • Collaborate or Separate? Distributed Service Caching in Mobile Edge Clouds

    Zichuan Xu;Lizhen Zhou;Sid Chi-Kin Chau;Weifa Liang

  • Online Algorithms for Location-Aware Task Offloading in Two-Tiered Mobile Cloud Environments

    Qiufen Xia;Weifa Liang;Zichuan Xu;Bingbing Zhou

  • A Fully Pipelined and Dynamically Composable Architecture of CGRA

    Jason Cong;Hui Huang;Chiyuan Ma;Bingjun Xiao

  • Task Offloading with Network Function Requirements in a Mobile Edge-Cloud Network

    Zichuan Xu;Weifa Liang;Mike Jia;Meitian Huang

  • Unsupervised Temporal Video Grounding with Deep Semantic Clustering

    Unknown

  • Efficient Algorithms for Delay-Aware NFV-Enabled Multicasting in Mobile Edge Clouds With Resource Sharing

    Haozhe Ren;Zichuan Xu;Weifa Liang;Qiufen Xia

  • Dynamic routing for network throughput maximization in software-defined networks

    Meitian Huang;Weifa Liang;Zichuan Xu;Wenzheng Xu

  • Network Lifetime Maximization in Delay-Tolerant Sensor Networks with a Mobile Sink

    Zichuan Xu;Weifa Liang;Yinlong Xu

  • Approximation Algorithms for Capacitated Minimum Forest Problems in Wireless Sensor Networks with a Mobile Sink

    Weifa Liang;P. Schweitzer;Zichuan Xu

Frequent Co-Authors

Weifa Liang
Weifa Liang City University of Hong Kong
Pan Zhou
Pan Zhou Huazhong University of Science and Technology
Wenzheng Xu
Wenzheng Xu Sichuan University
Xiaohua Jia
Xiaohua Jia City University of Hong Kong
Song Guo
Song Guo Hong Kong University of Science and Technology
Alex Galis
Alex Galis University College London
Omer F. Rana
Omer F. Rana Cardiff University
Feng Xia
Feng Xia RMIT University
Wanlei Zhou
Wanlei Zhou City University of Macau
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology

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