张鹏程教授照片

张鹏程

教授、博士生导师

河海大学

邮箱：pchzhang [at] hhu [dot] edu [dot] cn

个人简介

张鹏程，河海大学计算机与软件学院副院长、教授、博士生导师、CCF杰出会员、CCF服务计算专委常委、CCF软件工程和系统软件专委执委、江苏省计算机学会软件专委副主任、江苏省信息技术应用学会软件专委秘书长、入选河海大学“大禹学者”第三层次A类资助。

主要研究方向为软件和服务新技术，包括深度学习、大语言模型、AI智能体、区块链、元宇宙等。

主持国家自然科学基金3项、国家自然科学基金联合基金课题1项（合作单位负责人）、国家重点研发计划子课题、江苏省自然科学基金、中国博士后特别资助等纵横向课题20余项。

在TSE、TOSEM、TIFS、TSC、TMC、TKDE、TCC、TR等IEEE/ACM汇刊、ESEC/FSE、ASE、ICML、ICWS、ICSOC等国内外期刊和会议上发表论文100余篇。

曾获东南大学优秀博士论文、中国博士后特别资助、湖北省科技进步一等奖、教育部科技进步一等奖、江苏省优秀计算机科技工作者和CCF服务计算专委会“青年才俊”和“青年科技”奖等。

学术论文

  1. Wang, B., Tong, Y., Ji, S., Dong, H., Luo, X., Zhang, P.*. A review of learning-based smart contract vulnerability detection: A perspective on code representation. ACM Transactions on Software Engineering and Methodology (Early Access), 2025. DOI: 10.1145/3714463. （CCF-A）

  2. Chu, H., Zhang, P.*, Dong, H., Xiao, Y., Ji, S. DeepFusion: Smart contract vulnerability detection via deep learning and data fusion. IEEE Transactions on Reliability, 74(3), 3544–3558, 2025. DOI: 10.1109/TR.2025.3544355. （CCF-C）

  3. Cai, H., Zhang, P.*, Xiao, Y., Ji. S., Xiao, M., Cheng, L., Clean-label backdoor attack based on robust feature attenuation for speech recognition. Expert Systems with Applications. Volume 281, 1 July 2025, 127546 , 2025. （CCF-C）

  4. Ji, S., Huang, C., Ren, B., Dong, H., Grunske, L., Xiao, Y., Zhang, P.*. TAEFuzz: Automatic Fuzzing for Image-based Deep Learning Systems via Transferable Adversarial Examples. ACM Transactions on Software Engineering and Methodology (Early Access), 2025. DOI: 10.1145/3714463. （CCF-A）

  5. Ren, P., Dong, H., Tari, Z., Zhang, P.; Efficient and Secure Sleepy Model for BFT Consensus. European Symposium on Research in Computer Security, ESORICS 2025, 314-333 （CCF-B）

  6. Liu, H., Tong, Y., Ji, S., Zhang, P.*,: Smart Contract Reentrancy Vulnerability Localization Using Explainable Graph Neural Networks. 49th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2025: 1126-1135 （CCF-C）

  7. Xia, W., Tong. Y., Wang, B., Zhang, P.*: LLMs-Driven Vulnerability Detection Combining LogicASG Reasoning with In-Context Learning. 49th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2025: 1164-1173, 2025 （CCF-C）

  8. Ji, S., Shi, Y., Huang, C., Cheng, L., Zhang, P.*: MVGText: Momentum and Variance Guided Hard-Label Text Test Case Generation. 49th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2025: 1350-1359, 2025. （CCF-C）

  9. Tai, C., Jin, H., Wang, Q., Dong, H., Zhang, P.*. DAG-FGL: An enhanced approach for accurate workflow task execution time prediction with complex dependencies. Proceedings of the 2025 IEEE International Conference on Web Services (ICWS 2025), 2025. （CCF-B）

  10. Zhang, J., Jin, H., Zhao, J., Dong, H., Zhang, P.*. Privacy-preserving and efficient offloading for cooperative vehicle infrastructure systems. Proceedings of the 2025 IEEE International Conference on Web Services (ICWS 2025), 2025. （CCF-B）

  11. Zhang, P.*, Wang, B., Luo, X., Dong, H. SCAnoGenerator: Automatic anomaly injection for Ethereum smart contracts. IEEE Transactions on Software Engineering, 50(11), 2983–3006, 2024. DOI: 10.1109/TSE.2024.2983299. （CCF-A）

  12. Ding, L., Chen, B., Zhu, Y., Dong, H., Zhang, P.*. Geo-HGAN: Unsupervised anomaly detection in geochemical data via latent space learning. Computers & Geosciences, 192, 105703, 2024. DOI: 10.1016/j.cageo.2024.105703.

  13. Ji, S., Gong, J., Dong, H., Zhang, P.*, Zhu, S. IABC-TCG: Improved artificial bee colony algorithm based test case generation for smart contracts. Journal of Software: Evolution and Process, 36(12), e2719, 2024. DOI: 10.1002/smr.2719. （CCF-B）

  14. Chu, H., Zhang, P.*, Dong, H., Xiao, Y., Ji, S. SGDL: Smart contract vulnerability generation via deep learning. Journal of Software: Evolution and Process, 36(12), e2712, 2024. DOI: 10.1002/smr.2712. （CCF-B）

  15. Pu, J., Fu, X., Dong, H., Zhang, P., Liu, L., Dynamic Adaptive Federated Learning on Local Long-Tailed Data. IEEE Transactions on Services Computing, 2024, vol.17, no.6, pp.3485-3498. （CCF-A）

  16. Zhang, J., Wang, X., Yuan, P., Dong, H., Zhang, P.*, Tari Z. Dependency-Aware Task Offloading based on Application Hit Ratio. IEEE Transactions on Services Computing, 2024, vol.17, no.6, pp.3373-3386. （CCF-A）

  17. Ji, S., Li, J., Jin, H., Wei, T., Dong, H., and Zhang, P.*, Space-Time-Aware Proactive QoS Monitoring for Mobile Edge Computing, IEEE Transactions on Network and Service Management, 2024, vol.21, no.5, pp.5662-5676. （CCF-C）

  18. Jin, H., Zhang, P.*, Dong, H., Bouguettaya, A., Zomaya, AY., Swift and Accurate Mobility-Aware QoS Forecasting for Mobile Edge Environments, IEEE Transactions on Services Computing, 2024, vol.17, no.6, pp.4340-4353. （CCF-A）

  19. Cai, H., Zhang, P.*, Dong, H., Xiao, Y., Koffas, S and Li, Y., Towards stealthy backdoor attacks against speech recognition via elements of sound, IEEE Transactions on Information Forensics and Security, 2024, vol.19, pp.5852 - 5866. （CCF-A）

  20. Chan, G., Zhang, P.*, Dong, H., Ji, S., Chen, B., Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation, International Conference on Machine Learning (ICML), 2024, vol.41. （CCF-A）

  21. Ji, S., Li, J., Jin, H., Dong, H., Ge, Z., Yang, S., Zhang, P.*. Resource aware multi-user task offloading in mobile edge computing. Proceedings of the 2024 IEEE International Conference on Web Services (ICWS 2024), 2024. （CCF-B）

  22. Ge, Z., Zhang, P.*, Jin, H., Dong, H., Ji, S., Li, J., Wang, Q. QoS optimization via computation offloading in metaverse environment. Proceedings of the 2024 IEEE International Conference on Web Services (ICWS 2024), 2024. （CCF-B）

  23. Li, J., Ji, S., Jin, H., Dong, H., Ge, Z., Zhang, P.*. Dynamic adaptive user allocation in mobile edge computing. Proceedings of the 2024 IEEE International Conference on Software Services Engineering (SSE 2024), 2024. （CCF-C）

  24. Zhang, M., Ji, S., Cai, H., Dong, H., Ji, S., Zhang, P.*. Audio steganography based backdoor attack for speech recognition software. Proceedings of the 48th IEEE Computer Society Signature Conference on Computers, Software, and Applications (COMPSAC 2024), 2024. （CCF-C）

  25. Ji, S., Li, Y., Dong, H., Xiao, M., Zhang, P.*, Zhang, M. Gradient-guided test case generation for image classification software. Proceedings of the 48th IEEE COMPSAC 2024, 2024. （CCF-C）

  26. Cai, H., Zhang, P.*, Dong, H., Grunske, L., Ji, S., Yuan, T. Adversarial example-based test case generation for black-box speech recognition systems. Software Testing, Verification & Reliability, 33(5), e1848, 2023. DOI: 10.1002/stvr.1848. （CCF-B）

  27. Chu, H., Zhang, P.*, Dong, H., Xiao, Y., Ji, S., Li, W. A survey on smart contract vulnerabilities: Data sources, detection and repair. Information and Software Technology, 159, 107221, 2023. DOI: 10.1016/j.infsof.2023.107221. （CCF-B）

  28. Ji, S., Zhu, S., Zhang, P.*, Dong, H., Yang, J. Test case generation for data flow testing of smart contracts based on improved genetic algorithm. IEEE Transactions on Reliability, 72(1), 358–371, 2023. DOI: 10.1109/TR.2023.358371. （CCF-C）

  29. Zhang, P.*, Yu, Q., Xiao, Y., Dong, H., Luo, X., Wang, X., and Zhang, M. BiAn: Smart Contract Source Code Obfuscation. IEEE Transactions on Software Engineering, 2023, vol.49, no.9, pp.4456- 4476. （CCF-A）

  30. P. Zhang*, B. Ren, H. Dong and Q. Dai, CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing for Image-Based Deep Learning Systems, IEEE Transactions on Software Engineering, 2022,vol. 48, no. 11, pp. 4630-4646. （CCF-A）

  31. Xiao, M., Xiao, Y., Dong, H., Ji, S., Zhang, P.*. Leap: Efficient and automated test method for NLP software[C]//2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023: 1136-1148. （CCF-A）

  32. Ji, S., Huang, C., Zhang, P.*, Dong, H. Ponzi scheme detection based on control flow graph feature extraction. Proceedings of the 2023 IEEE International Conference on Web Services (ICWS 2023), 2023. （CCF-B）

  33. Ding, L., Zhu, Y., Zhang, P.*, Dong, H., Chen, H. Multi-class prediction of mineral resources based on deep learning. IEEE Access, 10, 111463–111476, 2022. DOI: 10.1109/ACCESS.2022.3211463.

  34. H. Jin, P. Zhang*, H. Dong, X. Wei, Y. Zhu and T. Gu, Mobility-aware and Privacy-protecting QoS Optimization in Mobile Edge Networks, IEEE Transactions on Mobile Computing, 2022. （CCF-A）

  35. P. Zhang*, H. Jin, H. Dong, W. Song and A. Bouguettaya, Privacy-Preserving QoS Forecasting in Mobile Edge Environments, IEEE Transactions on Services Computing, 2022,vol.15, no.2, pp. 1103-1117. （CCF-A）

  36. P. Zhang*, Y. Zhang, H. Dong and H. Jin, Mobility and Dependence-Aware QoS Monitoring in Mobile Edge Computing, IEEE Transactions on Cloud Computing, 2021, vol. 9, no. 3, pp. 1143-1157. （CCF-C）

  37. Yu, Q., Zhang, P.*, Dong, H., Xiao, Y., Ji, S. Bytecode obfuscation for smart contracts. Proceedings of the 29th Asia-Pacific Software Engineering Conference (APSEC 2022), 2022. （CCF-C）

  38. H. Jin, P. Zhang*, H. Dong, Y. Zhu and A. Bouguettaya, Privacy-Aware Forecasting of Quality of Service in Mobile Edge Computing, IEEE Transactions on Services Computing, 2023. Vol.16, no.1, pp. 478 – 492. （CCF-A）

  39. P. Zhang*, H. Jin, H. Dong, W. Song and L. Wang, M-BSRM: Multivariate BayeSian Runtime QoS Monitoring Using Point Mutual Information, IEEE Transactions on Services Computing, 2022, vol. 15, no. 1, pp. 484-497. （CCF-A）

  40. P. Zhang*, H. Jin, H. Dong, W. Song and L. Wang, LA-LMRBF: Online and Long-Term Web Service QoS Forecasting, IEEE Transactions on Services Computing, 2021, vol.14, no.6, pp. 1809-1823. （CCF-A）

  41. P. Zhang*, F. Xiong, H. Leung and W. Song, FunkR-pDAE: Personalized Project Recommendation Using Deep Learning ,IEEE Transactions on Emerging Topics in Computing, 2021,vol. 9, no. 2, pp. 886-900.

  42. W. Li, P. Zhang*, H. Dong, Y. Jia and W. Cao, RSDF-AM-LSTM: Regional Scale Division Rainfall Forecasting Using Attention and LSTM[J]. ACM/IMS Transactions on Data Science, 2021,vol. 2, no. 4, pp. 1-27.

  43. P. Zhang*, Y. Jia, J. Gao, W. Song and H. Leung, Short-Term Rainfall Forecasting Using Multi-Layer Perceptron,IEEE Transactions on Big Data, 2020,vol. 6, no. 1, pp. 93-106. （CCF-C）

  44. Wang, B., Chu, H., Zhang, P.*, Dong, H. Smart contract vulnerability detection using code representation fusion. Proceedings of the 28th Asia-Pacific Software Engineering Conference (APSEC 2021), 2021. （CCF-C）

  45. Zhang, P.*, Zhang, Y., Dong, H., Jin, H. Multivariate QoS monitoring in mobile edge computing based on Bayesian classifier and rough set. Proceedings of the 2020 IEEE International Conference on Web Services (ICWS 2020), 2020. （CCF-B）

  46. Jin, H., Zhang, P.*, Dong, H. Security-aware QoS forecasting in mobile edge computing based on federated learning. Proceedings of the 2020 IEEE International Conference on Web Services (ICWS 2020), 2020. （CCF-B）