Journal Publications

• [1]Yuheng Shen, Hao Sun, Yu Jiang, Heyuan Shi*, Yixiao Yang*, Wanli Chang: Rtkaller: State-aware Task Generation for RTOS Fuzzing. ACM SIGBED International Conference on Embedded Software 2021 [EMSOFT, CCF-B]
• [2]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 Transactions on Knowledge Discovery from Data. 18(2): 33:1-33:20 (2024) [TKDD, CCF-B]
• [3]Zhipin Gu, Yuexiang Yang, Heyuan Shi*: Detecting Malicious Gradients from Asynchronous SGD on Variational Autoencoder. International Symposium on Reliable Distributed Systems 2021 [SRDS, CCF-B]
• [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 Information Processing. 21(6): 214 (2022) [QIP, JCR-2]
• [5]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 Transactions on Smart Grid. 14(3): 2301-2312 (2023) [TSG, 中科院1区TOP]
• [6]Rongkai Liu, Heyuan Shi*, Yongchao Zhang, Runzhe Wang, Shen Yuheng, Yuao Chen, Jing Luo, Xiaohai Shi, Chao Hu, Yu Jiang: PatchBert: Continuous Stable Patch Identification for Linux Kernel via Pre-trained Model Fine-tuning. International Conference on Software Analysis, Evolution, and Reengineering 2024 [SANER, CCF-B]
• [7]Jiawei Luo, Zihan Lai, Cong Shen, Pei Liu, Heyuan Shi*: Graph Attention Mechanism-based Deep Tensor Factorization for Predicting disease-associated miRNA-miRNA pairs. IEEE International Conference on Bioinformatics and Biomedicine 2021 [BIBM, CCF-B]
• [8]Yuheng Shen, Shijun Chen, Jianzhong Liu, Yiru Xu, Qiang Zhang, Runzhe Wang, Heyuan Shi* and Yu Jiang*: Brief Industry Paper: Directed Kernel Fuzz Testing on Real-time Linux. 2023 IEEE Real-Time Systems Symposium 2023 [RTSS, CCF-A]
• [9]Heyuan Shi, Yubo Zhang, Zizhao Zhang, Nan Ma, Xibin Zhao, Yue Gao, Jiaguang Sun: Hypergraph-Induced Convolutional Networks for Visual Classification. IEEE Transactions on Neural Networks and Learning Systems. 30(10): 2963-2972 (2019) [TNNLS, CCF-B]
• [10]Jianmin Guo, Quan Zhang, Yue Zhao, Heyuan Shi*, Yu Jiang, Jia-Guang Sun: RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems. IEEE Transactions on Software Engineering. 48(10): 4167-4180 (2022) [TSE, CCF-A]
• [11]Yuheng Shen, Yiru Xu, Hao Sun, Jianzhong Liu, Zichen Xu, Aiguo Cui, Heyuan Shi*, Yu Jiang*: Tardis: Coverage-Guided Embedded Operating System Fuzzing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(11): 4563-4574 (2022) [TCAD CCF-A]
• [12]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 Transactions on Multimedia Computing, Communications and Applications. 20(1): 15:1-15:23 (2024) [TOMM, CCF-B]
• [13]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 Transactions on Industrial Informatics. 15(12): 6551-6559 (2019) [TII, 中科院1区TOP]
• [14]Jing Luo, Heyuan Shi*, Yongchao Zhang, Runzhe Wang, Yuheng Shen, Yuao Chen, Rongkai Liu, Xiaohai Shi, Chao Hu, Yu Jiang: CVECenter: Industry Practice of Automated Vulnerability Management for Linux Distribution Community. ACM International Conference on the Foundations of Software Engineering 2024 [FSE, CCF-A]
• [15]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. ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering 2019 [FSE, CCF-A]
• [16]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. Journal of Parallel and Distributed Computing. 168: 70-79 (2022) [JPDC, CCF-B]
• [17]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. ACM SIGSOFT International Symposium on Software Testing and Analysis 2023 [ISSTA, CCF-A]
• [18]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. ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering 2022 [FSE, CCF-A]
• [19]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. Computer Networks. 141: 157-165 (2018) [COMNET, JCR-1]