Ke Xiong | Internet | Outstanding Scientist Award

Prof. Ke Xiong | Internet | Outstanding Scientist Award

Beijing Jiaotong University | China

Ke Xiong received his B.S. and Ph.D. degrees from Beijing Jiaotong University (BJTU), Beijing, China, in 2004 and 2010, respectively. He worked as a Postdoctoral Research Fellow in the Department of Electronics Engineering at Tsinghua University from April 2010 to February 2013, and since March 2013 he has served BJTU as a Lecturer, Associate Professor, and currently as a Full Professor and Vice Dean of the School of Computer and Information Technology. From September 2015 to September 2016, he was a Visiting Scholar at the University of Maryland, College Park, USA. He has published more than 200 academic papers in refereed journals and conferences, and his research interests span wireless cooperative networks, wireless powered networks, and network information theory. Prof. Xiong holds numerous key academic and industry leadership roles, including Council Member of the China Software Industry Association; Executive Secretary-General of the National Smart Transportation and Intelligent Connected Vehicles Industry-Education Integration Community; Director and Chief Expert of the Industrial Internet Association Think Tank under the China Mobile Communications Association; Director of the IoT Work Committee Think Tank under the Internet Society of China; and membership in several major national technical committees. He is a Distinguished Expert at both the ZTE–Beijing Jiaotong University 5G Joint Laboratory and the Peking University–Hebei Handan Research Institute, a member of the China Computer Federation (CCF), and a senior member of the Chinese Institute of Electronics (CIE) and the Chinese Association for Artificial Intelligence (CAAI).

Profiles: Orcid | Google Scholar

Featured Publications

"Age of Information Minimization in Vehicular Edge Computing Networks: A Mask-Assisted Hybrid PPO-Based Method", X Qin, Z Zhang, C Meng, R Dong, K Xiong, P Fan, Network 5 (2), 2025.

"Joint Aggregation Node Selection and Power Adjustment for Federated Learning in IoV", Z Sang, C Meng, W Yan, B Gao, K Xiong, P Fan, 2025 5th International Conference on Computer, 2025.

"Maximizing Harvested Energy in Green Energy Powered Multi-user MISO RF-based WPT", X Zhang, K Xiong, Q Wang, W Chen, P Fan, B Ai, KB Letaief, IEEE Transactions on Vehicular Technology, 2025.

"SDVformer: A Resource Prediction Method for Cloud Computing Systems", S Liu, K Xiong, Y Li, Z Zhang, Y Zhang, P Fan, Computers, Materials & Continua 84 (3), 2025.

"Toward Sustainable Low-Carbon IoT for 6G: Green Energy-Charged WPCN", X Zhang, K Xiong, J Yang, W Chen, P Fan, DWK Ng, KB Letaief IEEE Network, 2025.

Strategic Implementation Award in Network Science and Graph Analytics

Introduction of Strategic Implementation Award in Network Science and Graph Analytics

Welcome to the Strategic Implementation Award in Network Science and Graph Analytics—an accolade designed to recognize and honor outstanding contributions in strategically implementing innovative solutions within the dynamic realms of network science and graph analytics.

Award Eligibility:

This award is open to individuals and teams engaged in network science and graph analytics, irrespective of age or organizational affiliation. Eligible candidates include researchers, industry professionals, and academics who have demonstrated excellence in the strategic implementation of solutions in this field.

Qualification and Publications:

Candidates should possess a background in network science or graph analytics and showcase a track record of significant contributions. Qualifications may include relevant academic degrees, industry experience, and a history of impactful publications in recognized journals or conferences.

Evaluation Criteria:

Entries will be evaluated based on the strategic significance of the implemented solutions, their impact on the field, and the innovative approaches employed. The judging panel will consider factors such as scalability, efficiency, and practical applications.

Submission Guidelines:

Submit a comprehensive biography, an abstract detailing the strategic implementation, and supporting files illustrating the impact of the work. Ensure that all submissions adhere to the specified format and are submitted by the stated deadline.

Recognition:

Recipients of the Strategic Implementation Award will receive a distinguished recognition, a certificate of achievement, and opportunities for collaboration and networking within the network science and graph analytics communities.

Community Impact:

The awarded projects will be showcased to inspire and inform the community, fostering knowledge exchange and collaboration for the advancement of network science and graph analytics.

Biography:

Provide a brief biography highlighting key achievements, contributions, and the impact of the strategic implementations in network science and graph analytics.

Abstract and Supporting Files:

Include a detailed abstract of the implemented solution and supporting files that provide evidence of its strategic impact. This may include case studies, data analyses, or other relevant documentation.

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