Our 4514
We are the Pengcheng Zhang team of Hohai University. We now have 14 members (1 Ph.D., 13 masters). Our research interests are service computing, smart contract bug detection, AI testing, service recommendation, and rainfall forecasting.
Existing work
Here, we list some existing research results, part of which have open-source code.
Service computing
- Zhang, P., Jin, H., Dong, H., Song, W., Bouguettaya. A., 2020. Privacy-Preserving QoS Forecasting in Mobile Edge Environments. IEEE Transactions on Services Computing. DOI: 10.1109/TSC.2020.2977018
- Zhang, P., Jin, H., Dong, H., Song, W., Wang, L.,2019. LA-LMRBF: Online and Long-term Web Service QoS Forecasting. IEEE Transactions on Services Computing. DOI: 10.1109/TSC.2019.2901848 open-source URL
- Zhang, P., Jin, H., Dong, H., Song, W., Nov., 2019. M-BSRM: Multivariate BayeSian Runtime QoS Monitoring Using Point Mutual Information. IEEE Transactions on Services Computing. DOI: 10.1109/TSC.2019.2952604
- H. Jin, P. Zhang, and H. Dong, “Security-aware QoS forecastingin mobile edge computing based on federated learning,” in 2020 IEEE International Conference on Web Services (ICWS), IEEE, 2020.
- P. Zhang, Y. Zhang, H. Dong, and H. Jin, “Multivariate QoS Monitoring in Mobile Edge Computing based on Bayesian Classifier and Rough Set,” in 2020 IEEE International Conference on Web Services (ICWS), IEEE, 2020.
Smart contract bug detection
- Zhang, Pengcheng, Jianan Yu, and Shunhui Ji. “ADF-GA: Data Flow Criterion Based Test Case Generation for Ethereum Smart Contracts.” in 2020 IEEE/ACM 3rd International Workshop on Emerging Trends in Software Engineering for Blockchain (WETSEB) open-source URL
- Zhang P, Xiao F, Luo X. SolidityCheck: Quickly Detecting Smart Contract Problems Through Regular Expressions[J]. arXiv preprint arXiv:1911.09425, 2019. open-source URL
- Zhang, Pengcheng, Feng Xiao, and Xiapu Luo. “A Framework and Data Set for Bugs in Ethereum Smart Contracts.” in 2020 IEEE International Conference on Software Maintenance and Evolution (ICSME), IEEE, 2020. open-source URL
AI testing
- Zhang, Pengcheng, Qiyin Dai, and Patrizio Pelliccione. “CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing of Deep Learning Systems.” arXiv preprint arXiv:1911.07931 (2019). open-source URL
- Zhang, Pengcheng, Qiyin Dai, and Shunhui Ji. “Condition-guided adversarial generative testing for deep learning systems.” 2019 IEEE International Conference On Artificial Intelligence Testing (AITest). IEEE, 2019.
Service recommendation
- Zhang, P., Xiong, F., Leung, H. and Song W., Sept., 2018. FunkR-pDAE: Personalized Project Recommendation Using Deep Learning. IEEE Transactions on Emerging Topics in Computing. DOI: 10.1109/TETC.2018.2870734 open-source URL
Rainfall forecasting
- Zhang, P., Jia, Y., Gao, J., Song W., and Leung, H. Short-term Rainfall Forecasting Using Multi-layer Perceptron. IEEE Transactions on Big Data. DOI: 10.1109/TBDATA.2018.2871151 open-source URL
- Zhang, Pengcheng & Cao, Wennan & Li, Wenrui. (2020). Surface and high-altitude combined rainfall forecasting using convolutional neural network. Peer-to-Peer Networking and Applications. 10.1007/s12083-020-00938-x. open-source URL
Team member
Our team consists of 14 lovely members. The following are their respective research interests and personal GitHub accounts:
| Huiying Jin (SE Ph.D.) | Service computing | account | Yaling Zhang (CS master) | Service computing | account |
| Xinmiao Wei (SE master) | Service computing | account | Jianan Yu (CS master) | Smart contract bug detection | account |
| Feng Xiao (SE master) | Smart contract bug detection | account | Meng Zhang (CS master) | Smart contract bug detection | account |
| Zhipeng Gao (CS master) | Data visualization | account | Mengqiao Shao (SE master) | Service recommendation | account |
| Cheng Gao (CS master) | Service recommendation | account | Shijun Ye (CS master) | AI Testing | account |
| Tianhao Yuan (CS master) | AI Testing | account] | Qiyin Dai (CS master) | AI Testing | account |
| Wennan Cao (SE master) | Rainfall forecasting | account | Rui Yang (SE master) | Data visualization | account |
Other problems
If you are interested in our work, welcome to follow us or (watch, star, fork) our repos. If you have any problems with using our code, you are also welcome to ask questions under the corresponding repo (preferably provide detail), and we will give you feedback in time.