Heyuan Shi

Heyuan Shi

Associate Professor

Heyuan Shi

Heyuan Shi received the B.S. degree in School of Information Science and Engineering, Central South University, Changsha, China, in 2015, and the Ph.D. degree in School of Software, Tsinghua University, Beijing, China, in 2020. He is currently an Associate Professor with the School of Electronic Information, Central South University, Changsha, China. His current research interests include the safety and reliability of infrastructure software and AI software.

Selected Awards

  • Hunan Provincial Xiaohe Sci-Tech Talents, 2023

Selected Conference Publications

  1. Rongkai Liu, Heyuan Shi*, Yongchao Zhang, Runzhe Wang, Yuheng Shen, Yuao Chen, Jing Luo, Xiaohai Shi, Chao Hu, Yu Jiang: PatchBert: Continuous Stable Patch Identification for Linux Kernel via Pre-trained Model Fine-tuning. SANER 2024.
  2. Yuheng Shen, Shijun Chen, Jianzhong Liu, Yiru Xu, Qiang Zhang, Runzhe Wang, Heyuan Shi*, Yu Jiang: Brief Industry Paper: Directed Kernel Fuzz Testing on Real-time Linux. RTSS 2023: 495-499
  3. Qinglong Wang, Runzhe Wang, Yuxi Hu, Xiaohai Shi, Zheng Liu, Tao Ma, Houbing Song, Heyuan Shi*: KeenTune: Automated Tuning Tool for Cloud Application Performance Testing and Optimization. ISSTA 2023: 1487-1490
  4. Runzhe Wang, Qinglong Wang, Yuxi Hu, Heyuan Shi*, Yuheng Shen, Yu Zhan, Ying Fu, Zheng Liu, Xiaohai Shi, Yu Jiang: Industry practice of configuration auto-tuning for cloud applications and services. ESEC/SIGSOFT FSE 2022: 1555-1565
  5. Yuheng Shen, Hao Sun, Yixiao Yang, Yu Jiang, Wanli Chang, Heyuan Shi*: “Rtkaller: State-aware Task Generation for RTOS Fuzzing”. ACM SIGBED International Conference on Embedded Software (EMSOFT), 2021.
  6. Jiawei Luo, Zihan Lai, Cong Shen, Pei Liu, Heyuan Shi*: Graph Attention Mechanism-based Deep Tensor Factorization for Predicting disease-associated miRNA-miRNA pairs. BIBM 2021: 189-196
  7. Zhipin Gu, Yuexiang Yang, Heyuan Shi*: Detecting Malicious Gradients from Asynchronous SGD on Variational Autoencoder. SRDS 2021: 321-330
  8. Heyuan Shi, Runzhe Wang, Ying Fu, Mingzhe Wang, Xiaohai Shi, Xun Jiao, Houbing Song, Yu Jiang*, Jiaguang Sun: Industry practice of coverage-guided enterprise Linux kernel fuzzing. ESEC/SIGSOFT FSE 2019: 986-995

Selected Journal Publications

  1. Fangfang Li, Zhi Liu, Junwen Duan, Xingliang Mao, Heyuan Shi*, Shichao Zhang: Exploiting Conversation-Branch-Tweet HyperGraph Structure to Detect Misinformation on Social Media. ACM Trans. Knowl. Discov. Data 18(2): 33:1-33:20 (2024) [TKDD]
  2. Kehua Guo, Liang Chen, Xiangyuan Zhu, Xiaoyan Kui, Jian Zhang, Heyuan Shi*: Double-Layer Search and Adaptive Pooling Fusion for Reference-Based Image Super-Resolution. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 15:1-15:23 (2024) [TOMM]
  3. Liqiang Wu, Heyuan Shi*, Shaojing Fu, Yuchuan Luo, Ming Xu: p2Detect: Electricity Theft Detection With Privacy Preservation for Both Data and Model in Smart Grid. IEEE Trans. Smart Grid 14(3): 2301-2312 (2023) [TSG]
  4. Jinjing Shi, Shuhui Chen, Tian Chen, Tongge Zhao, Jiuqi Tang, Qin Li, Chunlin Yu, Heyuan Shi*: Image encryption with quantum cellular neural network. Quantum Inf. Process. 21(6): 214 (2022) [QIP]
  5. Yuheng Shen, Yiru Xu, Hao Sun, Jianzhong Liu, Zichen Xu, Aiguo Cui, Heyuan Shi*, Yu Jiang*: Tardis: Coverage-Guided Embedded Operating System Fuzzing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4563-4574 (2022) [TCAD]
  6. Jianmin Guo, Quan Zhang, Yue Zhao, Heyuan Shi*, Yu Jiang, Jia-Guang Sun: RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems. IEEE Trans. Software Eng. 48(10): 4167-4180 (2022) [TSE]
  7. Heyuan Shi, Guyu Wang, Ying Fu, Chao Hu, Houbing Song, Jian Dong, Kun Tang, Kai Liang: Abaci-finder: Linux kernel crash classification through stack trace similarity learning. J. Parallel Distributed Comput. 168: 70-79 (2022) [JPDC]
  8. Heyuan Shi, Yubo Zhang, Zizhao Zhang, Nan Ma, Xibin Zhao, Yue Gao, Jiaguang Sun: Hypergraph-Induced Convolutional Networks for Visual Classification. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2963-2972 (2019) [TNNLS]
  9. Yu Zhan, Ying Fu, Liang Huang, Jianmin Guo, Heyuan Shi*, Houbing Song, Chao Hu: Cube-Evo: a query-efficient black box attack on video classification system. IEEE Transactions on Reliability, doi: 10.1109/TR.2023.3261986. [TR]
  10. Heyuan Shi, Runzhe Wang, Ying Fu, Yu Jiang*, Jian Dong, Kun Tang, Jiaguang Sun: Vulnerable Code Clone Detection for Operating System Through Correlation-Induced Learning. IEEE Trans. Ind. Informatics 15(12): 6551-6559 (2019) [TII]
  11. Heyuan Shi, Xibin Zhao, Hai Wan, Huihui Wang, Jian Dong, Kun Tang, Anfeng Liu: Multi-model induced network for participatory-sensing-based classification tasks in intelligent and connected transportation systems. Comput. Networks 141: 157-165 (2018) [COMNET]

Selected Project

  • 2023.12-2025.12, Anhui Province Key Laboratory of Cyberspace Security Situation Awareness and Evaluation, Open Fund of Anhui Province Key Laboratory of Cyberspace Security Situation Awareness and Evaluation (No.CSSAE-2023-010)
  • 2024.01-2026.12, Changsha Science and Technology Key Project (No.kh2401027)
  • 2023.01-2025.12, National Key R&D Program of China (No.2022YFB3104003)
  • 2023.01-2025.12, NSFC Program (No.62202500)
  • 2023.01-2025.12, Hunan Provincial Natural Science Foundation (No.2023JJ40772)
  • 2023.04-2024.12, Hunan Provincial 14th Five-Year Plan Educational Science Research Project (No.XJK23AJD022)
  • 2023.05-2024.05, Alibaba Innovative Research (AIR) Project, (No.CRS54WHZ11230005 24221597)
  • 2022.09-2024.09, Ministry of Education Industry-University Cooperation Collaborative Education Project (No.220500643274437)
  • 2023.01-2023.12, Xiaohe Sci-Tech Talents Special Funding under Hunan Provincial Sci-Tech Talents Sponsorship Program (No.2023TJ-X40)

Professional Service

TPC Member

  • IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). 2024

Reviewer

  • IEEE Transactions on Sustainable Computing
  • The Journal of Supercomputing
  • Journal of Cryptologic Research (密码学报)
  • IEEE Transactions on Neural Networks and Learning Systems
  • Big Data Mining and Analytics

Student

Masters

  1. Wanli Chen (2023-):
  2. Sisheng Li (2023-): Co-supervised with Prof. Chao Hu
  3. Zijian Zouxia (2023-): Co-supervised with Prof. Ronghua Shi
  4. Yuhan Chen (2023-): Co-supervised with Prof. Ronghua Shi
  5. Wenlong Zhang (2023-): Co-supervised with Prof. Ronghua Shi
  6. Shuning Liu (2022-)
  7. Binqi Zeng (2022-)
  8. Shijun Chen (2022-): Co-supervised with Prof. Ronghua Shi
  9. Ruikang Peng (2022-): Co-supervised with Prof. Ronghua Shi
  10. Shangyuan Xiafang (2022-): Co-supervised with Prof. Ronghua Shi
  11. Kai Liang (2021-2024): Co-supervised with Prof. Ronghua Shi
  12. Rongkai Liu (2021-2024): Co-supervised with Prof. Chao Hu
  13. Jing Luo (2021-2024): Co-supervised with Prof. Chao Hu
  14. Ruishi Yu (2021-2024): Co-supervised with Prof. Chao Hu
  15. Yu Zhan (2020-2023): Co-supervised with Prof. Xin Yao, Now China Telecom.
  16. Liang Huang (2019-2022): Co-supervised with Prof. Ronghua Shi, Now Tencent.