Personal Profile
Xu Jingheng, Professor at the Hetao Institute of Mathematics and Interdisciplinary Sciences. He obtained his PhD from Tsinghua University and specialises in cybersecurity and AI infrastructure research based on artificial intelligence. He currently serves as an expert for the Guangdong Province Cybersecurity Classification Protection Rating Assessment and as a member of the Expert Committee of the Shenzhen Network and Information Security Industry Association. He previously held the position of Director at the Shenzhen Key Laboratory for Cloud Security Core Technology Research.
He serves as a member of the Technical Committees for conferences including SC and IPDPS. Recipient of China's highest honour in intelligent science – the Wu Wenjun Artificial Intelligence Award (Second Prize for Scientific and Technological Progress, principal contributor) – alongside the China Electric Power Science and Technology Innovation Award (First Prize) and the Ministry of Industry and Information Technology's Computing Power China · Young Pioneer Award. Has led or participated in multiple national and provincial-level projects, including one National Ministry of Industry and Information Technology Special Project for High-Quality Development in Manufacturing, two National Key R&D Programmes, National Natural Science Foundation grants, and other provincial/ministerial-level funding initiatives.
Research Interests
1）AI for Security
2）AI for Science
Educational Background
2014–2019 Tsinghua University, Department of Computer Science and Technology, Doctor of Engineering
2017–2018 Visiting Scholar, Department of Computer Science and Technology, Imperial College London (IC)
2012–2013 Exchange Student, Department of Computer Science and Engineering, University of Washington (UW)
2010–2014 Bachelor of Engineering, Department of Computer Science and Technology, Sichuan University
Work Experience
2019–2025: Director and Architect, Shenzhen Cloud Security Key Laboratory, Sangfor Technologies Co., Ltd.
2019–2021: Postdoctoral Fellow (Industry-Academia Collaboration Programme), Tsinghua University Shenzhen Graduate School
2017–2019 (PhD Candidate): Deputy Director, System Software Department, National Supercomputing Centre, Wuxi
Honours and Awards
September 2024
Computing Power China: Young Pioneer Figure
April 2024
Wu Wenjun Artificial Intelligence Science and Technology Award
Second Prize for Scientific and Technological Progress (Lead Contributor)
December 2023
Electric Power Science and Technology Innovation Award
First Prize
November 2014
National High Performance Computing Academic Conference (HPC China)
Best Paper Award
Publications
1. CanCal: Towards Real-time and Lightweight Ransomware Detection and Response in Industrial Environments. In Proceedings of the ACM SIGSAC Conference on Computer and Communications Security
2. Optimizing Finite Volume Method Solvers on Nvidia GPUs. IEEE Transactions on Parallel and Distributed Systems
3. Performance Tuning and Analysis for Stencil-Based Applications on POWER8 Processor. ACM Transactions on Architecture and Code Optimization
4. Generalized GPU Acceleration for Applications Employing Finite-Volume Methods. In Proceedings of the IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
5. Accelerating the 3D euler atmospheric solver through heterogeneous CPU-GPU platforms. In Proceedings of the ACM International Conference on Computing Frontiers
6. Million-Core-Scalable Simulation of the Elastic Migration Algorithm on Sunway TaihuLight Supercomputer. In Proceedings of the IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
7. Unleashing the performance potential of CPU-GPU platforms for the 3D atmospheric Euler solver. In Proceedings of the IEEE International Conference on Application-specific Systems, Architectures and Processors
8. Community integrated earth system model (CIESM): description and evaluation. Journal of Advances in Modeling Earth Systems
9. Refactoring and Optimizing the Community Atmosphere Model (CAM) on the Sunway TaihuLight Supercomputer. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
10. Sunwaylb: Enabling extreme-scale lattice boltzmann method based computing fluid dynamics simulations on sunway taihulight. In Proceedings of the IEEE International Parallel and Distributed Processing Symposium