World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
7758
World Ranking
10571
National Ranking
1301

Overview

Changchuan Yin is affiliated with Beijing University of Posts and Telecommunications in China. Their research primarily spans the fields of Engineering and Computer Science, with significant contributions in Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Artificial Intelligence, and Computer Vision and Pattern Recognition.

The following are notable recent publications by Changchuan Yin:

  • A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks, 2020, IEEE Transactions on Wireless Communications
  • Federated Learning based Audio Semantic Communication over Wireless Networks, 2021, 2021 IEEE Global Communications Conference (GLOBECOM)
  • A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks, 2020, IEEE Internet of Things Journal
  • Federated Learning for Task and Resource Allocation in Wireless High-Altitude Balloon Networks, 2021, IEEE Internet of Things Journal
  • Federated Learning for Audio Semantic Communication, 2021, Frontiers in Communications and Networks

Changchuan Yin collaborates frequently with several researchers, including:

  • Sihua Wang
  • Mingzhe Chen
  • Walid Saad
  • Shuguang Cui
  • Zhaohui Yang

The scientist's published research appears regularly in prominent venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Mobile Computing
  • IEEE Internet of Things Journal
  • IEEE Communications Letters

Their work focuses on several main topics, including:

  • UAV Applications and Optimization
  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • Privacy-Preserving Technologies in Data
  • Cooperative Communication and Network Coding
  • IoT and Edge/Fog Computing
  • Indoor and Outdoor Localization Technologies

Best Publications

  • A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks

    Mingzhe Chen;Zhaohui Yang;Walid Saad;Changchuan Yin

  • Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial

    Mingzhe Chen;Ursula Challita;Walid Saad;Changchuan Yin

  • Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience

    Mingzhe Chen;Mohammad Mozaffari;Walid Saad;Changchuan Yin

  • Virtual Reality Over Wireless Networks: Quality-of-Service Model and Learning-Based Resource Management

    Mingzhe Chen;Walid Saad;Changchuan Yin

  • Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks

    Mingzhe Chen;Ursula Challita;Walid Saad;Changchuan Yin

  • A squaring method to simplify the decoding of orthogonal space-time block codes

    Xiangming Li;Tao Luo;Guangxin Yue;Changchuan Yin

  • Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks With Mobile Users

    Mingzhe Chen;Walid Saad;Changchuan Yin;Merouane Debbah

  • Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks

    Mingzhe Chen;Walid Saad;Changchuan Yin

  • Lightweight Management of Resource-Constrained Sensor Devices in Internet of Things

    Zhengguo Sheng;Hao Wang;Changchuan Yin;Xiping Hu

  • Federated Learning based Audio Semantic Communication over Wireless Networks

    Unknown

  • Scaling laws for overlaid wireless networks: a cognitive radio network versus a primary network

    Changchuan Yin;Long Gao;Shuguang Cui

  • Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks

    Mingzhe Chen;Omid Semiari;Walid Saad;Xuanlin Liu

  • Echo-Liquid State Deep Learning for 360° Content Transmission and Caching in Wireless VR Networks With Cellular-Connected UAVs

    Mingzhe Chen;Walid Saad;Changchuan Yin

  • Echo State Networks for Self-Organizing Resource Allocation in LTE-U With Uplink–Downlink Decoupling

    Mingzhe Chen;Walid Saad;Changchuan Yin

  • Performance Analysis of Routing Protocol for Low Power and Lossy Networks (RPL) in Large Scale Networks

    Xiyuan Liu;Zhengguo Sheng;Changchuan Yin;Falah Ali

  • A Joint Learning and Communications Framework for Federated Learning over Wireless Networks

    Mingzhe Chen;Zhaohui Yang;Walid Saad;Changchuan Yin

  • Joint resource allocation and computation offloading in mobile edge computing for SDN based wireless networks

    Nahida Kiran;Chunyu Pan;Sihua Wang;Changchuan Yin

  • Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks

    Sihua Wang;Mingzhe Chen;Changchuan Yin;Walid Saad

  • Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach

    Mingzhe Chen;Walid Saad;Changchuan Yin;Merouane Debbah

  • Performance Optimization of Federated Learning over Wireless Networks

    Mingzhe Chen;Zhaohui Yang;Walid Saad;Changchuan Yin

  • A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks

    Sihua Wang;Mingzhe Chen;Xuanlin Liu;Changchuan Yin

  • Optimal impulse response shortening for discrete multitone transceivers

    Changchuan Yin;Guangxin Yue

  • Reduced-Complexity Proportional Fair Scheduling for OFDMA Systems

    Zhishui Sun;Changchuan Yin;Guangxin Yue

  • Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial

    Mingzhe Chen;Ursula Challita;Walid Saad;Changchuan Yin

  • Scaling Laws for Overlaid Wireless Networks: A Cognitive Radio Network vs. a Primary Network

    Changchuan Yin;Long Gao;Shuguang Cui

Frequent Co-Authors

Mingzhe Chen
Mingzhe Chen University of Miami
Walid Saad
Walid Saad Virginia Tech
Shuguang Cui
Shuguang Cui Chinese University of Hong Kong, Shenzhen
Merouane Debbah
Merouane Debbah Khalifa University
H. Vincent Poor
H. Vincent Poor Princeton University
Rui Zhang
Rui Zhang National University of Singapore
Zhu Han
Zhu Han University of Houston
Norman C. Beaulieu
Norman C. Beaulieu Beijing University of Posts and Telecommunications
Choong Seon Hong
Choong Seon Hong Kyung Hee University
Zhengguo Sheng
Zhengguo Sheng University of Sussex

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees and certifications gives Computer Science students flexible options for launching or advancing their tech careers. For those seeking to quickly improve job prospects, consider pursuing easy certifications to get. These can provide specialized skills and credentials that stand out to employers without years of study.

If you’re interested in earning a higher degree fast, look into the quickest cheapest masters degree programs available online. These accelerated options allow you to gain an advanced qualification while saving both money and time, making them attractive for working professionals.

Choosing which master’s program to pursue can be challenging. Explore expert insights on what masters program should i do to align your studies with market demand and your long-term goals.

For those just starting out, an online associate degree in Computer Science or Information Technology offers a practical, cost-effective entry point to the IT field. This can quickly prepare you for junior-level tech roles or further study.

Best Scientists Citing Changchuan Yin

Trending Scientists

Recently Published Articles