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ORCIDXiaogang Zhu 0001
Person information
- affiliation: Swinburne University of Technology, Department of Computer Science and Software Engineering, Melbourne, VIC, Australia
Other persons with the same name
- Xiaogang Zhu — disambiguation page
- Xiaogang Zhu 0002 — Northwestern Polytechnical University, Department of Applied Mathematics, Xi'an, China
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2020 – today
- 2025
[j21]Wei Zhou
, Xiaogang Zhu, Qing-Long Han, Lin Li, Xiao Chen, Sheng Wen, Yang Xiang:
The Security of Using Large Language Models: A Survey with Emphasis on ChatGPT. IEEE CAA J. Autom. Sinica 12(1): 1-26 (2025)- [j20]Xiaogang Zhu, Wei Zhou, Qing-Long Han, Wanlun Ma, Sheng Wen, Yang Xiang:
When Software Security Meets Large Language Models: A Survey. IEEE CAA J. Autom. Sinica 12(2): 317-334 (2025) - [j19]Xin Jian, Lingkun Xie, Xiaogang Zhu, Shaokun Liu, Yangjie Li, Alireza Jolfaei, Osama Alfarraj, Keping Yu:
High-Reliability Low-Latency Intelligent Geographic Routing Protocol for Vehicle Road Cooperation System. IEEE Internet Things J. 12(2): 1774-1788 (2025) - [j18]Kai Ye, Xiaogang Zhu, Xi Xiao, Sheng Wen, Minhui Xue, Yang Xiang:
BazzAFL: Moving Fuzzing Campaigns Towards Bugs via Grouping Bug-Oriented Seeds. IEEE Trans. Dependable Secur. Comput. 22(1): 179-191 (2025) - 2024
- [j17]Lihong Tang, Tingmin Wu, Xiao Chen, Sheng Wen, Wei Zhou, Xiaogang Zhu, Yang Xiang:
How COVID-19 impacts telehealth: an empirical study of telehealth services, users and the use of metaverse. Connect. Sci. 36(1) (2024) - [j16]Chuan Sheng, Wanlun Ma, Qing-Long Han, Wei Zhou, Xiaogang Zhu, Sheng Wen, Yang Xiang, Fei-Yue Wang:
Pager Explosion: Cybersecurity Insights and Afterthoughts. IEEE CAA J. Autom. Sinica 11(12): 2359-2362 (2024) - [j15]Xiaogang Zhu, Feicheng Ma, Feng Ding, Zhiwei Guo, Junchao Yang, Keping Yu:
A Low-Latency Edge Computation Offloading Scheme for Trust Evaluation in Finance-Level Artificial Intelligence of Things. IEEE Internet Things J. 11(1): 114-124 (2024) - [j14]Yu Shen, Xiaogang Zhu, Zhiwei Guo, Keping Yu, Osama Alfarraj, Victor C. M. Leung, Joel J. P. C. Rodrigues:
A Deep-Learning-Based Data-Management Scheme for Intelligent Control of Wastewater Treatment Processes Under Resource-Constrained IoT Systems. IEEE Internet Things J. 11(15): 25757-25770 (2024) - [j13]Zhiwei Guo, Qin Zhang, Feng Ding, Xiaogang Zhu, Keping Yu:
A Novel Fake News Detection Model for Context of Mixed Languages Through Multiscale Transformer. IEEE Trans. Comput. Soc. Syst. 11(4): 5079-5089 (2024) - [j12]Keping Yu, Xiaogang Zhu, Zhiwei Guo, Amr Tolba, Joel J. P. C. Rodrigues, Victor C. M. Leung:
A Cross-Field Deep Learning-Based Fuzzy Spamming Detection Approach via Collaboration of Behavior Modeling and Sentiment Analysis. IEEE Trans. Fuzzy Syst. 32(12): 7168-7182 (2024) - [j11]Qiang He, Ji Li, Xiaogang Zhu, Alireza Jolfaei, Zheng Feng, Amr Tolba, Keping Yu, Yukai Fu:
Joint Data Offloading and Energy-Efficient Secure MEC Resource Allocation Method for IoT Device Data in RAN Communication. IEEE Trans. Green Commun. Netw. 8(3): 1008-1017 (2024) - [j10]Xiaogang Zhu, Siyu Zhang, Chaoran Li, Sheng Wen, Yang Xiang:
Fuzzing Android Native System Libraries via Dynamic Data Dependency Graph. IEEE Trans. Inf. Forensics Secur. 19: 3733-3744 (2024) - [c11]Xiaogang Zhu, Tao Liu, Ziqiu Liu, Ouyang Shaobo, Xin Wang, Shu Hu, Feng Ding:
CGD-Net: A Hybrid End-to-end Network with gating decoding for Liver Tumor Segmentation from CT Images. AVSS 2024: 1-7 - [c10]Xiaogang Zhu, Zhihan Yan, Wenzhan Wang, Shu Hu, Xin Wang, Chunnian Liu:
QRNN-Transformer: Recognizing Textual Entailment. AVSS 2024: 1-7 - [c9]Xiaogang Zhu, Bo Lin, Xinan He, Jianfeng Xu, Feng Ding:
TMFD: Two-Stage Meta-learning Feature Disentanglement Framework for DeepFake Detection. IJCB 2024: 1-8 - [c8]Sicheng Liu, Lintao Wang, Xiaogang Zhu, Xuequan Lu, Zhiyong Wang, Kun Hu:
SITransformer: Shared Information-Guided Transformer for Extreme Multimodal Summarization. MMAsia 2024: 73:1-73:7 - [c7]Kunpeng Zhang, Xiaogang Zhu, Xi Xiao, Minhui Xue, Chao Zhang, Sheng Wen:
ShapFuzz: Efficient Fuzzing via Shapley-Guided Byte Selection. NDSS 2024 - [i7]Kunming Su, Qiuxia Wu, Panpan Cai, Xiaogang Zhu, Xuequan Lu, Zhiyong Wang, Kun Hu:
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning. CoRR abs/2409.00353 (2024) - 2023
- [j9]Zhiniang Peng, Wei Zhou, Xiaogang Zhu, Youke Wu, Sheng Wen:
On the security of fully homomorphic encryption for data privacy in Internet of Things. Concurr. Comput. Pract. Exp. 35(19) (2023) - [j8]Jing Zhang, Qichen Yan, Xiaogang Zhu, Keping Yu:
Smart industrial IoT empowered crowd sensing for safety monitoring in coal mine. Digit. Commun. Networks 9(2): 296-305 (2023) - [j7]Xiaotao Feng, Xiaogang Zhu, Qing-Long Han, Wei Zhou, Sheng Wen, Yang Xiang:
Detecting Vulnerability on IoT Device Firmware: A Survey. IEEE CAA J. Autom. Sinica 10(1): 25-41 (2023) - [c6]Yuxing Zhang, Xiaogang Zhu, Daojing He, Minhui Xue, Shouling Ji, Mohammad Sayad Haghighi, Sheng Wen, Zhiniang Peng:
Detecting Union Type Confusion in Component Object Model. USENIX Security Symposium 2023: 4265-4281 - [i6]Kunpeng Zhang, Xiaogang Zhu, Xi Xiao, Minhui Xue, Chao Zhang, Sheng Wen:
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection. CoRR abs/2308.09239 (2023) - 2022
- [j6]Xiaogang Zhu, Sheng Wen, Seyit Camtepe, Yang Xiang:
Fuzzing: A Survey for Roadmap. ACM Comput. Surv. 54(11s): 230:1-230:36 (2022) - [j5]Xiaogang Zhu, Xiaotao Feng, Xiaozhu Meng, Sheng Wen, Seyit Camtepe, Yang Xiang, Kui Ren:
CSI-Fuzz: Full-Speed Edge Tracing Using Coverage Sensitive Instrumentation. IEEE Trans. Dependable Secur. Comput. 19(2): 912-923 (2022) - [j4]Xiaogang Zhu, Sheng Wen, Alireza Jolfaei, Mohammad Sayad Haghighi, Seyit Camtepe, Yang Xiang:
Vulnerability Detection in SIoT Applications: A Fuzzing Method on their Binaries. IEEE Trans. Netw. Sci. Eng. 9(3): 970-979 (2022) - [j3]Yuhuai Peng, Xiaojing Xue, Ali Kashif Bashir, Xiaogang Zhu, Yasser D. Al-Otaibi, Usman Tariq, Keping Yu:
Securing Radio Resources Allocation With Deep Reinforcement Learning for IoE Services in Next-Generation Wireless Networks. IEEE Trans. Netw. Sci. Eng. 9(5): 2991-3003 (2022) - [c5]Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, Sheng Wen:
Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States. ICSE 2022: 1658-1668 - [i5]Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, Sheng Wen:
Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States. CoRR abs/2201.04441 (2022) - 2021
- [j2]Jiale Deng, Xiaogang Zhu, Xi Xiao, Sheng Wen, Qing Li, Shutao Xia:
Fuzzing With Optimized Grammar-Aware Mutation Strategies. IEEE Access 9: 95061-95071 (2021) - [j1]Xiaogang Zhu, Sheng Wen, Alireza Jolfaei, Seyit Camtepe, Yang Xiang:
Synthesized Corpora to Evaluate Fuzzing for Green Internet of Things Programs. IEEE Trans. Green Commun. Netw. 5(3): 1041-1050 (2021) - [c4]Xiaotao Feng, Ruoxi Sun, Xiaogang Zhu, Minhui Xue, Sheng Wen, Dongxi Liu, Surya Nepal, Yang Xiang:
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference. CCS 2021: 337-350 - [c3]Xiaogang Zhu, Marcel Böhme:
Regression Greybox Fuzzing. CCS 2021: 2169-2182 - [i4]Xiaotao Feng, Ruoxi Sun, Xiaogang Zhu, Minhui Xue, Sheng Wen, Dongxi Liu, Surya Nepal, Yang Xiang:
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference. CoRR abs/2105.05445 (2021) - 2020
- [c2]Yi Li, Xi Xiao, Xiaogang Zhu, Xiao Chen, Sheng Wen, Bin Zhang:
SpeedNeuzz: Speed Up Neural Program Approximation with Neighbor Edge Knowledge. TrustCom 2020: 450-457 - [i3]Xiaogang Zhu, Shigang Liu, Xian Li, Sheng Wen, Jun Zhang, Seyit Ahmet Çamtepe, Yang Xiang:
DeFuzz: Deep Learning Guided Directed Fuzzing. CoRR abs/2010.12149 (2020)
2010 – 2019
- 2019
- [c1]Xiaogang Zhu, Xiaotao Feng, Tengyun Jiao, Sheng Wen, Yang Xiang, Seyit Camtepe, Jingling Xue:
A Feature-Oriented Corpus for Understanding, Evaluating and Improving Fuzz Testing. AsiaCCS 2019: 658-663 - [i2]Xiaotao Feng, Qin Wang, Xiaogang Zhu, Sheng Wen:
Bug Searching in Smart Contract. CoRR abs/1905.00799 (2019) - [i1]Xiaogang Zhu, Xiaotao Feng, Tengyun Jiao, Sheng Wen, Yang Xiang, Seyit Camtepe, Jingling Xue:
A Feature-Oriented Corpus for Understanding, Evaluating and Improving Fuzz Testing. CoRR abs/1905.01405 (2019)
Coauthor Index
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