姓    名：王晓康

学历职称：博士，研究员

联系方式：kxwang@zzu.edu.cn

个人简介：

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；2018年1月至2022年1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， 2026年入选河南省中原英才-海外高层次人才项目。同时，十多次担任国内外知名期刊包括IEEE TII, JSA，Neurocomputing, BDMA和CCF TPCI等的客座编辑；并担任国际会议IEEE HPCC 2026(CCF C),IEEE UIC 2025/2022(CCF C),IEEE ISPA 2024 (CCF C),IEEE ICPADS 2023 (CCF C)和IEEE HPCC 2020(CCF C)的程序委员会主席和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。

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, 2022ZD0118300, 人工智能基础模型关键技术研究, 2023-03 至 2024-03, 990万元, 结题, 核心骨干（排名第三）;

国家自然科学基金地区项目，62262014，智慧自贸港多模态大数据高效精简计算方法，2023-01-01至2026-12-31，34万，在研，主持

学术获奖

王晓康，河南省中原英才-海外高层次人才，2026

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年度最佳期刊论文奖)，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

代表论文：

[1]Xiaosong Peng, Laurence T. Yang, Xiaokang Wang*, Shijie Lv, “Dynamic Incremental Tucker Decomposition for Sparse Tensors on Heterogeneous Platforms,” IEEE Transactions on Computers, 2026 (CCF A类期刊)

[2]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)

[3]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)

[4] 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)

[5] 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)

[6] 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)

[7] Xiaokang Wang, Jiale Yu, Yi Lin, Biyuan Yao, Qiu Zhao, Yuefu Zhan, Jing Chen, Xu Zhang, “A Multi-Branch Dual Residual Attention CNN Model for Pediatric Pneumonia Classification,” Big Data Mining and Analytics, 2025 (国产期刊，中科院一区)

[8] Xiaokang Wang, Laurence T. Yang*, Xingyu Chen, and Jian-Jun Han, “A Tensor Computation and Optimization Model for Cyber-Physical-Social Big Data,” IEEE Transactions on Sustainable Computing, vol.4, no.4, pp.326-339, 2019 (封面论文)

[9] Lei Ren*, Zihao Meng, Xiaokang Wang, Renquan Lu, and Laurence T. Yang, “A Wide-Deep-Sequence Model based Quality Prediction Method in Industrial Process Analysis,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 9, pp. 3721-3731, Sep. 2020. (ESI高被引论文, 中科院一区)

[10] Lei Ren*, Zihao Meng, Xiaokang Wang, Lin Zhang and Laurence T. Yang, “A Data-driven Approach of Product Quality Prediction for Complex Production Systems,” IEEE Transactions on Industrial Informatics, vol.17, no.9, pp.6457-6465, 2020. (ESI高被引论文, 中科院一区)

[11] Lei Ren*, Jiabao Dong, Xiaokang Wang, Zihao Meng, Li Zhao, M. Jamal Deen, “A Data-driven Auto-CNN-LSTM Prediction Model for Lithium-ion Battery Remaining Useful Life,” IEEE Transactions on Industrial Informatics, vol.17, no.5, pp.3478-3487, May 2021. (ESI高被引论文, 中科院一区)

学术报告

1.Xiaokang Wang (王晓康), “A Tensor-based Cyber-Physical-Social Data Representation Processing and Applications”（Keynote Speaker主题报告）, The AAAl 2026 pre-conference workshop, Singapore, January 19, 2026

2.Xiaokang Wang (王晓康), “Rethinking Research in the Age of AI”（Keynote Speaker主题报告）, The 22nd IEEE International Conference on Ubiquitous Intelligence and Computing, Calgary, Alberta, Canada, August 18-22, 2025.

3.Xiaokang Wang (王晓康), “When Tensor Computing Meets Metaverse”（Keynote Speaker主题报告）, The 2024 IEEE Smart World Congress, Fiji, December 02-07, 2024

4.王晓康, “基于张量的工业互联网数据表示与高效计算方法”, 大会主题报告，智能物联系统建模与仿真专业委员会全体会议, 北京航空航天大学, 2024-01-13

指导学生竞赛获奖

1. 中国高校计算机大赛-网络技术挑战赛全国总决赛二等奖，2024

2. 中国高校计算机大赛-网络技术挑战赛华南赛区一等奖，2024

3. 第十七届全国大学生软件创新大赛全国总决赛三等奖，2024

4. 第十七届全国大学生软件创新大赛华南赛区一等奖，2024

5. 第十七届全国大学生软件创新大赛最佳新人奖，2024

6. 中国高校计算机大赛-移动应用创新赛暨海峡两岸创新作品赛省赛一等奖，2024

7. 中国高校计算机大赛-移动应用创新赛暨海峡两岸创新作品赛省赛三等奖，2024

8. 普通高等学校青年教师教学大赛选拔赛校一等奖，2024

9. 第六届码蹄杯全国大学生程序设计大赛省赛银奖，2024

10. 百度之星程序设计大赛省赛银奖，2024

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 2026 IEEE International Conference on High Performance Computing and Communications (IEEE HPCC 2026, CCF C), Luoyang, China, October 30-November 02, 2026

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 2025 IEEE Cybermatics Congress, Zhengzhou, Henan, China, October 30- November 02, 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 Cybermatics Congress,Espoo, Finland, August 22-25, 2022

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), Vice Chair (副主席), Computational Intelligence Society & Systmes, Man and Cybernetics Society of IEEE Canadian Atlantic Section (IEEE加拿大大西洋片区计算智能/系统、人机与控制理论协会)

Xiaokang Wang (王晓康), Chair (主席)，Task Force of Cyber-Physical-Social Systems of IEEE Smart World Technical Committee (IEEE CPSS（人机物系统）工作组)

Xiaokang Wang (王晓康)，Guest Editor (客座编辑)，IEEE Transactions on Computational Social Systems

Xiaokang Wang (王晓康)，Guest Editor (客座编辑)，Big Data Ming and Analytics

Xiaokang Wang (王晓康), Guest Editor (客座编辑), IEEE Transactions on Industrial Informatics

Xiaokang Wang (王晓康), Guest Editor (客座编辑), Journal of Systems Architecture: Embedded Software Design

Xiaokang Wang (王晓康), Guest Editor (客座编辑), Pattern Recognition Letter

Xiaokang Wang (王晓康), Guest Editor (客座编辑), CCF Transactions on Pervasive Computing and Interaction

Xiaokang Wang (王晓康), Guest Editor (客座编辑), Neurocomputing

Xiaokang Wang (王晓康), Guest Editor (客座编辑), Concurrency and Computation Practice and Experience

Xiaokang Wang (王晓康)，Guest Editor (客座编辑)，Software: Practice and Experience