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。

主要研究方向为智能软件质量保障，聚焦于软件质量保障在“人机物”三元融合新形态下的新挑战。具体研究：

1）大模型驱动的智能测试：利用大语言模型和AI智能体的推理与规划能力，实现测试用例的自主生成、缺陷的智能定位与自动修复，让测试系统具备“思考”能力。

2）智能软件的质量可信：针对深度学习、大语言模型及AI智能体的不确定性、鲁棒性和可迁移性等问题，构建新一代质量评估与验证体系，确保AI“既聪明又可靠”。

3）新型软件范式的质量守护：面向边缘计算、区块链、元宇宙、数字孪生等场景，研究去中心化应用的服务质量监控、预测和优化等质量保障与异常检测技术，为下一代互联网基础设施"保驾护航"。

先后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、河南省重点研发课题、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。

担任CCF A类期刊TSC副编辑，担任IEEE AITest 2019、CCF ICSS 2025、IEEE EDGE 2026等程序委员会主席，担任CCF A类会议ACM MM、NeurIPS，CCF B类会议ICWS、ICSOC、ICDM等程序委员会委员。

在TSE、TOSEM、TIFS、TSC、TMC、TKDE、TCC、TR等IEEE/ACM汇刊、ESEC/FSE、ASE、ICML、AAAI、ICWS、ICSOC等会议上发表论文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、中国电力建设企业协会科学技术进步二等奖、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. Cai, H., Zhang, P.*, Xiao, Y., Li, D., Chu, H., Luo, Y. Modulation-Based Backdoors: Leveraging Amplitude and Frequency Patterns to Attack Speaker Recognition. The 40th Annual AAAI Conference on Artificial Intelligence, AAAI 2026, 2026. （CCF-A）

  2. Wang, Q., Jin, H., Dong, H., Zhang, P., Qin, A. K., Gu, T.: Meta-Reinforcement Learning for Computation Offloading and Resource Allocation in MEC-Enabled Immersive Metaverse. IEEE Transactions on Mobile Computing. Accepted （CCF-A）

  3. Zhang, P., Wang, X., Tong, Y., Dong, H., Xiao, Y., Ji, S.: Bytecode Obfuscation for Smart Contracts via Structural and Semantic Perturbation. ACM Transactions on Software Engineering and Methodology. Accepted. (CCF-A)

  4. Jin, H., Ge, Z., Dong, H., Zhang, P., Zhou, J., Xiao, F., Bouguettaya, A.: Privacy-Preserving Service Migration for Multi-User Metaverse Environments. IEEE Transactions on Services Computing. Accepted. (CCF-A)

  5. Wang, Q., Jin, H., Tai, C., Dong, H., Zhang, P.*: Interactive Fast Computation Offloading and Resource Allocation: A Joint Optimization Approach for Metaverse Applications. IEEE Transactions on Services Computing. Accepted. (CCF-A)

  6. Ji, S., Li, Y.*, Xiao, Y., Dong, H., Hu, L., Zhang, P.*: SparseTG-GS: Test Case Generation via Sparse Perturbation Group. ACM Transactions on Software Engineering and Methodology. Accepted. (CCF-A)

  7. Niu, Z., Dong, H., Qin, A. K., Gu, T., Zhang, P.: Energy and Memory-Efficient Federated Learning with Ordered Layer Freezing. IEEE Transactions on Mobile Computing, (Early Access), 2025. (CCF-A)

  8. 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）

  9. 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）

  10. 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）

  11. 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）

  12. 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）

  13. 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）

  14. 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）

  15. 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）

  16. 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）

  17. 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）

  18. 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）

  19. 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）

  20. 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）

  21. 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）

  22. 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）

  23. 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）