Chuanting Zhang 张传亭
Associate Professor (Tenure-Track)
Shandong University
Office: Room 215, Research Building, 1500 Shunhua Rd., Jinan, 250101
Email: chuanting.zhang at {gmail.com, sdu.edu.cn}
Biography
I am a tenure-track associate professor at the School of Software,
Shandong University. Prior to this
position,
I was a Senior Research Associate at the University of Bristol and
worked
with Prof. Mark A. Beach.
Besides, I also was a Postdoctoral Research Fellow at King Abdullah
University of Science and Technology (KAUST),
working with Prof. Mohamed-Slim
Alouini
and Prof. Basem Shihada.
I received my Ph.D.
degree in communication and information systems from Shandong
University, Jinan, China, in 2019, under the supervision of Prof.
Minggao Zhang and Prof. Haixia
Zhang.
My primary research interest is using big data to make our city and world brighter. I now focus on
spatial-temporal data analysis, federated learning and its applications in communication networks.
My [Google Scholar] & [GitHub].
News
- [2024-10-19]: I received the IEEE ICCT Young Scientist Award. Thanks for those that support us.
- [2024-07-05]: Our paper on spatial-temporal traffic prediction with origin-destination modeling (STOD-Net ) is accepted by CAAI Transactions on Intelligence Technology.
- [2024-07-04]: We are organizing a special issue in Mathematics (IF 2.3, JCR Q1 (21/489)) under the section of mathematics and computer science. The title of this special issue is Data-Driven Decentralized Learning for Future Communication Networks. Please support us by submitting your valuable paper to this special issue.
- [2024-01-10]: New paper is out. We introduce federated learning into microwave behavior prediction in this paper, which is accepted for publication by IEEE Microwave and Wireless Technology Letters.
- [2023-02-07]: One paper on federated RF Fingerprinting was accepted by IEEE INFOCOM 2023 workshop (DeepWireless).
- [2022-06-29]: Our work on distributed artificial intelligence has been accepted for publication by IEEE Open Journal of the Communications Society.
- [2022-05-02]: One paper was accepted for publication by IEEE Transactions on Vehicular Technology.
- [2022-04-13]: Our paper on Federated Meta Learning for Wireless Traffic Prediction was accepted for publication by IEEE Communication Letters.
- [2022-03-15]: Two papers were accepted for publication by Frontiers in Communications and Networks.
- [2022-03-01]: Moved to University of Bristol as a Senior Research Associate.
- [2021-11-20]: One paper was accepted for publication by Complexity.
- [2021-08-01]: KAUST Discovery reported our INFOCOM paper on wireless traffic prediction, more details can be found through this link.
- [2021-07-02]: Our paper on measuring digital inequality was accepted for publication by IEEE Wireless Communications Letters. To introduce our work simply, we released a website which can be accessed here or through its official link. You can visualize the worldwide digital inequality interactively through our website.
- [2021-06-09]: I was invited to serve on the technical program committee (TPC) for IEEE WCNC 2022, which will be held between April 10 and April 13, 2022 in Austin, TX, USA.
- [2021-04-28]: I gave a virtual spotlight talk at KAUST Conference on Artificial Intelligence for our work on urban traffic prediction. [Video] & [Slides]. Read More
Publications
Teaching
- 2024 Fall: Software Engineering
- 2024 Spring: Industrial Big Data Technologies and Applications
- 2023 Fall: Software Engineering
Services
Tutorials & Talks
- Wireless Traffic Prediction in the Era of LLMs, IEEE ICCT, Tutorial, 2024
- Wireless Traffic Prediction Based on Cloud-Edge Collaboration，Huawei，2024
- Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation, IEEE INFOCOM 2023
- Wireless Traffic Analysis: From Centralized Learning to Federated Learning, University of Bristol, 2023
- Graph Neural Networks Empowered Origin-Destination Learning for Urban Traffic Prediction, KAUST AI Conference, 2021
- Dual Attention-Based Federated Learning for Wireless Traffic Prediction, IEEE INFOCOM 2021
- Deep Learning Based Link Prediction with Social Pattern and External Attribute Knowledge in Bibliographic Networks, IEEE SmartData 2016
- Fast Fine-Grained Air Quality Index Level Prediction Using Random Forest Algorithm on Cluster Computing of Spark, IEEE CBDCom 2015
Session Chair
- IEEE ICCC 2024
- IEEE SmartData 2016
TPC Member
- IEEE GLOBECOM 2021/2022/2023/2024
- IEEE VTC Fall 2022
- IEEE ICCC 2017/2021/2022/2023/2024
- IEEE WCNC 2022
- IEEE WCNC 2021/2022/2023/2024
- IEEE ComNet 2020
Journal Reviewer
- IEEE Transactions on Mobile Computing
- IEEE Transactions on Knowledge and Data Engineering
- IEEE Transactions on Services Computing
- IEEE Transactions on Consumer Electronics
- IEEE Communications Magazine
- IEEE Wireless Communications Letters
- IEEE Transactions on Vehicular Technology
- Information Fusion
Honors & Awards
- 2024: IEEE ICCT Young Scientist Award
- 2020: Outstanding Doctoral Dissertation Award, Shandong Association for Artificial Intelligence
- 2020: Outstanding Doctoral Dissertation Award, Shandong Province
- 2016: The First Prize Academic Scholarship, Shandong University
- 2016: Best Paper Award at IEEE SmartData
- 2015: The First Prize Academic Scholarship, Shandong University
- 2014: Outstanding Graduate Award, Inner Mongolia Autonomous Region
- 2013: National Scholarship for Graduate Students, Inner Mongolia University of Science and Technology
- 2010: The Third Prize at ACM-ICPC China Inner Mongolia Autonomous Region Programming Contest