World's Best Scientists 2026 revealed!

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Computer Science

D-Index
50
Citations
8537
World Ranking
5681
National Ranking
751

Overview

Chuan Wu is affiliated with the University of Hong Kong in China and has contributed extensively to research in the fields of Engineering and Computer Science. Their work spans multiple publications, with a particular focus on Mechanical Engineering and Artificial Intelligence, among other specialized subfields.

Their scholarly output includes papers covering materials science topics such as high entropy alloys and additive manufacturing processes. Notable recent publications include:

  • Laser surface alloying of FeCoCrAlNiTi high entropy alloy composite coatings reinforced with TiC on 304 stainless steel to enhance wear behavior, 2022, Ceramics International
  • Tribological properties and sulfuric acid corrosion resistance of laser clad CoCrFeNi high entropy alloy coatings with different types of TiC reinforcement, 2023, Tribology International
  • Exploration of wear and slurry erosion mechanisms of laser clad CoCrFeNi + x (NbC) high entropy alloys composite coatings, 2024, Tribology International

Wu's research frequently appears in highly specialized venues such as:

  • arXiv (Cornell University)
  • Surface and Coatings Technology
  • IEEE Transactions on Parallel and Distributed Systems
  • Journal of Materials Engineering and Performance
  • Materials Characterization

Their work addresses a range of main topics including:

  • High Entropy Alloys Studies
  • Additive Manufacturing Materials and Processes
  • High-Temperature Coating Behaviors
  • Advanced Graph Neural Networks
  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Stochastic Gradient Optimization Techniques

Frequent coauthors collaborating with Wu include Song Zhang, C.H. Zhang, H.T. Chen, C. H. Zhang, and Tingting Xu, indicating active engagement in multi-author interdisciplinary research teams.

Their research contributes both to experimental materials engineering-especially regarding surface treatments and alloy coatings-and to computational methods such as deep learning cluster scheduling and advanced networking within computer science.

Best Publications

  • An Online Auction Framework for Dynamic Resource Provisioning in Cloud Computing

    Weijie Shi;Linquan Zhang;Chuan Wu;Zongpeng Li

  • Optimus: an efficient dynamic resource scheduler for deep learning clusters

    Yanghua Peng;Yixin Bao;Yangrui Chen;Chuan Wu

  • A generic communication scheduler for distributed DNN training acceleration

    Yanghua Peng;Yibo Zhu;Yangrui Chen;Yixin Bao

  • Online Auctions in IaaS Clouds: Welfare and Profit Maximization With Server Costs

    Xiaoxi Zhang;Zhiyi Huang;Chuan Wu;Zongpeng Li

  • UUSee: Large-Scale Operational On-Demand Streaming with Random Network Coding

    Zimu Liu;Chuan Wu;Baochun Li;Shuqiao Zhao

  • Dynamic resource provisioning in cloud computing: A randomized auction approach

    Linquan Zhang;Zongpeng Li;Chuan Wu

  • Scaling social media applications into geo-distributed clouds

    Yu Wu;Chuan Wu;Bo Li;Linquan Zhang

  • DAPPLE: a pipelined data parallel approach for training large models

    Shiqing Fan;Yi Rong;Chen Meng;Zongyan Cao

  • Multi-Channel Live P2P Streaming: Refocusing on Servers

    Chuan Wu;Baochun Li;Shuqiao Zhao

  • Cost-Minimizing Dynamic Migration of Content Distribution Services into Hybrid Clouds

    Xuanjia Qiu;Hongxing Li;Chuan Wu;Zongpeng Li

  • CloudMedia: When Cloud on Demand Meets Video on Demand

    Yu Wu;Chuan Wu;Bo Li;Xuanjia Qiu

  • Moving Big Data to The Cloud: An Online Cost-Minimizing Approach

    Linquan Zhang;Chuan Wu;Zongpeng Li;Chuanxiong Guo

  • Deep Learning-based Job Placement in Distributed Machine Learning Clusters

    Yixin Bao;Yanghua Peng;Chuan Wu

  • A survey on cloud interoperability: taxonomies, standards, and practice

    Zhizhong Zhang;Chuan Wu;David W.L. Cheung

  • Strategyproof auctions for balancing social welfare and fairness in secondary spectrum markets

    Ajay Gopinathan;Zongpeng Li;Chuan Wu

  • Online Scaling of NFV Service Chains Across Geo-Distributed Datacenters

    Yongzheng Jia;Chuan Wu;Zongpeng Li;Franck Le

  • Dynamic pricing and profit maximization for the cloud with geo-distributed data centers

    Jian Zhao;Hongxing Li;Chuan Wu;Zongpeng Li

  • Orchestrating Bulk Data Transfers across Geo-Distributed Datacenters

    Yu Wu;Zhizhong Zhang;Chuan Wu;Chuanxiong Guo

  • Online Job Scheduling in Distributed Machine Learning Clusters

    Yixin Bao;Yanghua Peng;Chuan Wu;Zongpeng Li

  • Exploring large-scale peer-to-peer live streaming topologies

    Chuan Wu;Baochun Li;Shuqiao Zhao

Frequent Co-Authors

Zongpeng Li
Zongpeng Li Tsinghua University
Francis C. M. Lau
Francis C. M. Lau Hong Kong Polytechnic University
Baochun Li
Baochun Li University of Toronto
Shaolei Ren
Shaolei Ren University of California, Riverside
Shiqiang Yang
Shiqiang Yang Tsinghua University
Minghua Chen
Minghua Chen City University of Hong Kong
Alex X. Liu
Alex X. Liu Michigan State University
Xiaojun Lin
Xiaojun Lin Purdue University West Lafayette
Wenwu Zhu
Wenwu Zhu Tsinghua University

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