• 2000.09-2006.07: Ph.D. in Computer Application Technology, South China University of Technology
• 1996.09-2000.07: Bachelor's degree in Computer Application Technology, South China University of Technology

工作经历：

• 2025.09-Present: Dual-appointed Professor, Shenzhen Loop Area Institute
• 2022.10-Present: Distinguished Professor, School of Cyber Engineering, Xidian University
• 2014.10-2022.09: Associate Professor, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU)
• 2021.01-2022.10: Adjunct Professor, School of Cyber Engineering, Xidian University
• 2020.12-2022.12: Research Expert, Zhejiang Lab
• 2013.01-2014.09: Research Scientist, IBM Canada R&D Centre / McMaster Centre for Software Certification, McMaster University
• 2012.06-2012.08 & 2010.10-2011.03: Visiting Scholar, United Nations University International Institute for Software Technology (UNU-IIST)
• 2010.02-2012.04: Researcher, Centre for Logic and Information, St. Francis Xavier University
• 2008.02-2010.02: Postdoctoral Fellow, Centre for Logic and Information, St. Francis Xavier University
• 2006.09-2008.02: Lecturer, School of Computers, Guangdong University of Technology

Wang Hao, Ph.D., is a Professor at Xidian University, and a dual-appointed professor at the Shenzhen Loop Area Institute . His research focuses on Trustworthy Artificial Intelligence, Embedded AI, and Human-Computer(Robot) Interaction. He has published more than 200 papers in top-tier international journals and conferences and has been listed in the 2024 “World's Top 2% Scientists” list. His current priority is on commercialization of AI technology in areas such as industrial intelligence, proactive health, and cardiac monitoring.

1. Weibin Yang, Liangru Xie, Jieyun Cai, Yuxiang Yan, Hong-Ning Dai, Hao Wang*. Talk2Code: A Multi-Turn Interaction Benchmark with Dual-Track Evaluation for Code Generation. AAAI 2026.
2. Liangru Xie, Jieyun Cai, Weibin Yang, Hong-Ning Dai, Hao Wang. Mirage: Noise-Aware Bayesian Calibration with Mutual Information for Reliable RAG. ICASSP 2026.
3. · Chenyang Xu, Siming Li, Wensai Xuan, Hao Wang*. Disentangling Physiology from Fidelity: Latent-Guided Diffusion Models for Cross-Modal Cardiac Synthesis. ICASSP 2026.
4. Chenyang Xu, Siming Li, Hao Wang*. Cardiobridge-DM: Bridging Cross-Cohort Heart Sound Synthesis via Rhythm-Aware Semi-Supervised Diffusion. ICASSP 2026.
5. Chenyang Xu, Yi Zhao, Zezhou Zhang, Hao Wang*. Adagrad-Fusion: Adaptive Gradient Fusion for Memory-Efficient ECG Foundation Model Fine-Tuning. ICASSP 2026.
6. Qujing Feng, Hao Wang*. HuntingLLM: Risk-Driven Automated Red Teaming with Adaptive Attack Agents. ICASSP 2026.
7. Yiming Luo, Shihao Liu, Di Wu, Hao Wang, and Yushan Pan. "Please Be Nice": Robot Responses to User Bullying - Measuring Performance Across Aggression Levels. ACM CHI'24).
8. Alan Wassyng, Neeraj Singh, Mischa Geven, Nicholas Proscia, Hao Wang, Mark Lawford, Tom Maibaum. Can Product Specific Assurance Case Templates be Used as Medical Device Standards? IEEE Design & Test, IEEE, Oct. 2015, 32(5):1-11.
9. Zhuowei Wang, Xiaoyu Song, Lianglun Cheng, and Hao Wang. Activity-Driven Task Allocation in Energy Constrained Heterogeneous GPUs Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
10. Yulei Wu, Hong-Ning Dai, and Hao Wang. Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0. IEEE Internet of Things Journal (IoTJ).
11. Yulei Wu, Hong-Ning Dai, Hao Wang, and Kim-Kwang Raymond Choo. Blockchain- based Privacy Preservation for 5G-enabled Drone Communications. IEEE Network.
12. Yulei Wu, Yuxiang Ma, Hong-Ning Dai, and Hao Wang. Deep Learning for Privacy Preservation in Autonomous Moving Platforms Enhanced 5G Heterogeneous Networks. Computer Networks, Elsevier.
13. Xiaokang Zhou, Wei Liang, Kevin I-Kai Wang, Hao Wang, Laurence T. Yang, and Qun Jin. Deep Learning Enhanced Human Activity Recognition for Internet of Healthcare Things. IEEE Internet of Things Journal (IoTJ).
14. Di Wu, Hao Wang*, Razak Seidu. Smart Data Driven Quality Prediction for Urban Water Source Management. Future Generation Computer Systems, Elsevier. 2020.
15. Meng Zhao*, Hao Wang*, Ying Han, Xiaokang Wang, Hong-Ning Dai, Xuguo Sun, Jin Zhang, Marius Pedersen. SEENS: Nuclei segmentation in Pap smear images with selective edge enhancement. Future Generation Computer Systems, Elsevier. 2020.
16. Zhuowei Wang, Lianglun Cheng, Hao Wang, Wuqing Zhao, and Xiaoyu Song. Energy Optimization by Software Prefetching for Granularity in GPU-based Embedded Systems. IEEE Transactions on Industrial Electronics (TIE).
17. Hong-Ning Dai, Raymond Chi-Wing Wong, Hao Wang, Zibin Zheng, Athanasios V. Vasilakos, Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities, ACM Computing Surveys, ACM, 2019. 52(5), 99:1-99:36.
18. Hong-Ning Dai, Hao Wang, Guangquan Xu, Jiafu Wan, and Muhammad Imran. Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies. Enterprise Information Systems. Taylor and Francis. 2019.
19. Junhao Zhou, Hong-Ning Dai, and Hao Wang. Portable Convolution Neural Networks for Traffic Sign Recognition in Intelligent Transportation Systems. 2019 IEEE International Conference on Cyber Physical and Social Computin (CPSCom 2019). Outstanding Paper Award
20. Junhao Zhou, Hong-Ning Dai, and Hao Wang. Lightweight Convolution Neural Networks for Mobile Edge Computing in Transportation Cyber Physical Systems. ACM Transactions on Intelligent Systems and Technology. ACM, 2019. 10(6), 67:1-67:20.
21. · Wenqiang Cui, Girts Strazdins, Hao Wang. Visual Analysis of Multidimensional Big Data: A Scalable Lightweight Bundling Method for Parallel Coordinates. IEEE Transactions on Big Data.
22. Hao Wang*, Shenglan Ma, Hong-Ning Dai, Muhammad Imrand, and Tongsen Wang. Blockchain-based Data Privacy Management with Nudge Theory in Open Banking. Future Generation Computer Systems, Elsevier. 2019.
23. Hao Wang*, Chaonian Guo, Shuhan Cheng. LoC - A New Financial Loan Management System based on Smart Contracts. Future Generation Computer Systems, Elsevier.
24. Hao Wang*, Shenglan Ma, Hong-Ning Dai. A Rhombic Dodecahedron Topology for Human-Centric Banking Big Data. IEEE Transactions on Computational Social Systems.
25. Di Wu, Hao Wang*, Hadi Mohammed, and Razak Seidu. Quality Risk Analysis for Sustainable Smart Water Supply Using Data Perception. IEEE Transactions on Sustainable Computing.
26. Di Wu, Hao Wang*, and Razak Seidu. Collaborative Analysis for Computational Risk in Urban Water Supply Systems. 28th ACM International Conference on Information and Knowledge Management (CIKM).
27. Zhuowei Wang, Lianglun Cheng, Hao Wang, Wuqing Zhao, and Xiaoyu Song. Energy Optimization by Software Prefetching for Granularity in GPU-based Embedded Systems. IEEE Transactions on Industrial Electronics (TIE).
28. Zhuowei Wang, Wuqing Zhao, Hao Wang*, Lianglun Cheng. Energy Optimization of Parallel Programs in a Heterogeneous System by Combining Processor Core-shutdown and Dynamic Voltage Scaling. Future Generation Computer Systems, Elsevier. Mar.2019, 92:198–209.
29. Zhuowei Wang, Wuqing Zhao, Hao Wang*, Lianglun Cheng. Three-level Performance Optimization for Heterogeneous Systems based on Software Prefetching under Power Constraints. Future Generation Computer Systems, Elsevier. 2018, 86: 51-58.
30. Hong-Ning Dai, Raymond Chi-Wing Wong, Hao Wang. On Capacity and Delay of Multi- channel Wireless Networks with Infrastructure Support. IEEE Transactions on Vehicular Technology, IEEE, 2017, 66(2): 1589-1604.
31. Qiong Chen, Mengxing Huang*, and Hao Wang*****. A Feature Discretization Method for Classification of High-resolution Remote Sensing Images in Coastal Areas. IEEE Transactions on Geoscience and Remote Sensing (TGRS).
32. Chenmao Lu, Hong-Ning Dai, Junhao Zhou, Hao Wang. Exploring Self-attention Mechanism of Deep Learning in Cloud Intrusion Detection. EAI Cloudcomp 2020. Best paper award.