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王晓康

日期:2025-10-25 信息来源: 浏览量:


名:王晓康


学历职称:博士,研究员


联系方式:kxwang@zzu.edu.cn

王晓康,2017年在华中科技大学计算机科学与技术学院获得计算机系统结构专业博士学位;20181月至20221月,在加拿大圣西维尔大学从事博士后研究;IEEE 会员,CCF高级会员。

主要研究方向:人机物智能,大数据,工业智能,异构计算,人工智能加速架构等。目前,王晓康博士的研究成果发表在包括IEEE/ACM汇刊,CCF A类期刊或中科院一区期刊等在内的60多篇期刊论文上,其中ESI热点论文3篇,ESI高被引论文11篇,封面论文1篇;连续五年入选“斯坦福大学全球前2%顶尖科学家榜单(2021-2025)”;主持/核心参与国家自然科学基金和科技创新2030-“新一代人工智能”重大项目等。

因在学术领域的贡献,王晓康博士获得2017 IEEE TCSC杰出博士论文奖, 2019 IEEE SCSTC学术新星奖, 2021 IEEE TCSC 青年学者奖,2021 IEEE TSUSC最佳年度期刊论文奖,2023 IEEE HITC青年学者奖。同时,十多次担任国内外知名期刊包括IEEE TII, JSANeurocomputing, BDMACCF TPCI等的客座编辑;并担任国际会议IEEE UIC 2025/2022(CCF C),IEEE ISPA 2024 (CCF C),IEEE ICPADS 2023 (CCF C)IEEE HPCC 2020(CCF C)的程序委员会主席IEEE HPCC 2022(CCF C)执行主席;以及加拿大IEEE大西洋片区SMC&CIS协会的副主席和IEEE人机物系统工作组主席;同时担任CCF 协同计算专委会副秘书长。

指导本科生在国际顶级期刊上以第一作者发表论文;指导本科生参加多项学科竞赛,在中国高校计算机大赛系列比赛、全国大学生软件创新大赛、信息技术专业人才大赛等权威知名赛事中获全国二等奖/三等奖,赛区一等奖,省一等奖/二等奖等多项奖励。

 

代表性科研项目:

中华人民共和国科学技术部, 科技创新2030-“新一代人工智能(2030)”重大项目, 人工智能基础模型关键技术研究, 结题, 核心骨干(排名第三)

国家自然科学基金地区项目,智慧自贸港多模态大数据高效精简计算方法,在研,主持

 

五篇代表性论文:

[1] Xiaosong Peng, Laurence T. Yang, Xiaokang Wang*, Debin Liu, Jie Li, “A High-Efficiency Parallel Mechanism for Canonical Polyadic Decomposition on Heterogeneous Computing Platform,” IEEE Transactions on Computers, 2025. (CCF A类期刊)

[2] Xiaokang Wang, Lei Ren*, Ruixue Yuan, Laurence T. Yang, and M. Jamal Deen, “QTT-DLSTM: A Cloud-Edge-Aided Distributed LSTM for IIoT Big Data,” IEEE Transactions on Neural Networks and Learning Systems, vol.34, no.10, pp. 7286-7298, 2023. (中科院一区)

[3] Xiaokang Wang, Laurence T. Yang*, Xingyu Chen, M. Jamal Deen, and Jirong Jin, “Improved Multi-order Distributed HOSVD with its Incremental Computing for Smart City Services,” IEEE Transactions on Sustainable Computing, vol.6, no.3, pp.456-468, 2021. (ESI高被引论文, IEEE TSCUS 2021最佳论文奖)

[4] Xiaokang Wang, Laurence T. Yang*, Liwen Song, Huihui Wang, Lei Ren, and M. Jamal Deen, “A Tensor-based Multi-Attributes Visual Feature Recognition for Industrial Intelligence,” IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 2231-2241, 2021. (ESI热点论文/高被引论文,中科院一区)

[5] Xiaokang Wang, Laurence T. Yang*, Yihao Wang, Lei Ren, M. Jamal Deen, “ADTT: A Highly-Efficient Distributed Tensor-Train Decomposition Method for IIoT Big Data,” IEEE Transactions on Industrial Informatics, vol.17, no. 3, pp. 1573-1582, 2021. (ESI热点论文/高被引论文,中科院一区)

 

学术获奖

Xiaokang Wang (王晓康)全球前2%顶尖科学家年度影响力榜单(2021-2025), 斯坦福大学;

Xiaokang Wang (王晓康)IEEE HITC Award for Excellence for Early Career Researcher (IEEE 人机物智能专委会青年学者奖), 2023

Xiaokang Wang (王晓康), Best Paper Award for IEEE Transactions on Sustainable Computing (2021 IEEE  TSUSC年度最佳论文奖)2021

Xiaokang Wang (王晓康), IEEE TCSC Award for Excellence for Early Career Researcher (IEEE 可扩展计算专委会青年学者奖), 2021;

Xiaokang Wang (王晓康), IEEE SCSTC Raising Star Award (IEEE 智能计算专委会学术新星奖), 2019;

Xiaokang Wang (王晓康), IEEE TCSC Outstanding Ph.D Dissertation Award (IEEE 可扩展计算专委会杰出博士论文奖), 2017;

 

学术兼职

Xiaokang Wang (王晓康), CCF 协同计算专委会副秘书长,2024—至今;

Xiaokang Wang (王晓康), Program Chair (程序委员会主席), The 2025 IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC 2025, CCF C), Calgary, Canada, 18-22 August, 2025;

Xiaokang Wang (王晓康), Program Chair (程序委员会主席), The 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2024, CCF C), Kaifeng, China, October 30 - November 02, 2024, 2024;

Xiaokang Wang (王晓康), Executive General Chair (大会执行主席), The 2023 IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC 2023, CCF C), Portsmouth, UK, 28-31 August, 2023;

Xiaokang Wang (王晓康), Program Chair (程序委员会主席), The 29th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS 2023, CCF C), Danzhou, Hainan, China, Dec. 17-21, 2023;

Xiaokang Wang (王晓康), Program Chair (程序委员会主席), The 2022 IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC 2022, CCF C), Haikou, China, Dec. 16-18, 2022;

Xiaokang Wang (王晓康), Executive Chair (执行主席), The 2022 IEEE International Conference on High Performance Computing and Communications (IEEE HPCC 2022, CCF C), Chengdu, China, Dec. 20-22, 2022;

 


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