Xingyu Shang
Researcher
China Telecom Research Instittute
Wechat: shang1978464937
email:shangxy1@chinatelecom.cn
ORCID: https://orcid.org/0000-0001-6603-0497
link to X(Twitter) ;link to Linkedin;link to Github
About me
I am Xingyu, I received my M.S. degree from North China Electric Power University(NCEPU) in 2022. I received my B.S. degree from Hebei Finance University in 2015.
My research interests lie in security & privacy of blockchain/AI. I have some experience with permissioned blockchain. One of my research projects is the privacy preserving of consortium blockchain.
Now I’m working in China Telecom Research Instittute which is located in Beijing. Doing research in Blockchain & cryptography and contributing draft for SG11/SG13/SG16/SG20 in ITU-T are my main job.
Interests
- Artificial Intelligence
- Blockchain
- Future Network
- Cryptography
Paper
[1] Shang Xingyu, Li Yuancheng*, Huang Rong, A Charging and Discharging Model for Electric Vehicles based on Consortium Blockchain Using Multi-Objective Gray Wolf Algorithm, Recent Advances in Electrical & Electronic Engineering 2022; 15(8) .
[2] 胡柏吉，李元诚，房方，商兴宇．基于轻量级区块链的隐私保护传染病监测数据聚合[J]．中国科学: 信息科学，2021，51 （11）: 1885–1899
Standard
- International Telecommunication Union - Telecommunication Standardization Sector (ITU-T)
[1] ITU-T Q2/SG13 Technical Report: TR.SIC-DLT “Scenarios and considerations of semantic information communication of NGNe based on DLT” Link, 11/2023, ongoing
[2] ITU-T Q16/SG13 Technical Report: TR.CDI-TNS “Considerations and potential requirements of cross domain interoperability for trustworthy networking and services” Link, 03/2024, ongoing
[3] ITU-T Q16/SG13 Recommendation: Y.Trust-AI “Overview of trust provisioning for networks and services using AI technologies” Link, 03/2024, ongoing
[4] ITU-T Q20/SG13 Recommendation: Y.KNO “Requirements and framework for knowledge-based network optimization in IMT-2020 networks and beyond” Link, 03/2024, ongoing
[5] ITU-T Q4/SG20 Recommendation: Y.AIoT-dpsm “Requirements and framework of data processing for smart manufacturing with Artificial Intelligence of Things” Link, 07/2024, ongoing
[6] ITU-T Q4/SG20 Recommendation: Y.AIoT-FRA “Functional requirements and architecture for Artificial Intelligence of Things” Link, 07/2024, ongoing
[7] ITU-T Q4/SG20 Recommendation: Y.AIoT-fr “Framework of Artificial Intelligence of Things” Link, 07/2024, ongoing
[8] ITU-T Q4/SG20 Recommendation: Y.KCI-IM “Requirements of knowledge construction and implementation for IoT management” Link, 07/2024, ongoing
[9] ITU-T Q3/SG20 Recommendation: Y.IoT-SAS “Functional architecture of IoT-enabled smart accessibility service in smart communities” Link, 07/2024, ongoing
[10] ITU-T Q2/SG20 Supplement: Y.Sup-SCC-AI “Suppplement to ITU-T Y.4223 - Use cases of smart cities and communities supported by AI” Link, 07/2024, ongoing
[11] ITU-T Q9/SG5 Recommendation: L.ClimAI “Guidelines for Assessing the Impact of Artificial Intelligence on Environment” Link, 07/2024, ongoing
- IEEE Standard Association (IEEE SA)
[1] IEEE SA CTS/MSC P3438 “Standard for Network Infrastructure for Web3.0” Link, 03/2024, ongoing, Working Group Chair