[1]Pei, K. (2020). Analysis and design of private college enrollment management information system. Marketing Industry (38), 161–163.
[2]Wang, B. (2022). Design of intelligent analysis system for enrollment data of private colleges based on olap. (8), 108–110.
[3]Li, F. (2020). Analysis of the recruitment publicity strategy of domestic private colleges in the era of new media. Think-tank (9), 2.
[4]Shi, Y. (2018). Research on the recruitment strategy of private colleges. Guide for Knowledge seeking (31), 1.
[5]Sun, Y. (2016). Research on the recruitment strategy of private colleges based on the vision of humanization and institutionalization. Central China Normal University.
[6]Li, X. (2020). Reform and innovation strategy of private college enrollment based on internet era – taking a university in foshan as an example. (1), 296.
[7]Chen, J., Du, C., Han, P., & Du, X. (2021). Real-time digital simulator for distributed systems. Simulation, 97 (5), 299–309.
[8]Yang, R. (2021). Innovative thinking on the recruitment publicity strategy of private colleges under the background of higher vocational enrollment expansion. Academy (17), 42-444.
[9]Liu, M., Cheng, L., Gu, Y., Wang, Y., Liu, Q., & O’Connor, N. E. (2021). MPC-CSAS: Multi-party computation for real-time privacy-preserving speed advisory systems. IEEE Transactions on Intelligent Transportation Systems, 23(6), 5887-5893.
[10]Zhang, X., Cui, L., Shen, W., Zeng, J., Du, L., He, H., & Cheng, L. (2023). File processing security detection in multi-cloud environments: a process mining approach. Journal of Cloud Computing, 12(1), 100.
[11]Liu, C., Zeng, Q., Cheng, L., Duan, H., Zhou, M., & Cheng, J. (2021). Privacy-preserving behavioral correctness verification of cross-organizational workflow with task synchronization patterns. IEEE Transactions on Automation Science and Engineering, 18(3), 1037-1048.
[12]Li, J., Li, J., Xie, C., Liang, Y., Qu, K., Cheng, L., & Zhao, Z. (2023). PipCKG-BS: A Method to Build Cybersecurity Knowledge Graph for Blockchain Systems via the Pipeline Approach. Journal of Circuits, Systems and Computers, 2350274.
[13]Li, S., Li, J., Pei, J., Wu, S., Wang, S., & Cheng, L. (2023). Eco-CSAS: A Safe and Eco-Friendly Speed Advisory System for Autonomous Vehicle Platoon Using Consortium Blockchain. IEEE Transactions on Intelligent Transportation Systems.
[14]Chen, X., Yu, Q., Dai, S., Sun, P., Tang, H., & Cheng, L. (2023). Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management. IEEE Internet of Things Journal.
[15]Wang, Y., Wang, Y., Shi, C., Cheng, L., Li, H. and Li, X., (2020). An edge 3D CNN accelerator for low-power activity recognition. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 40(5), pp.918-930.
[16]Cheng, L., Wang, Y., Liu, Q., Epema, D. H., Liu, C., Mao, Y., & Murphy, J. (2021). Network-aware locality scheduling for distributed data operators in data centers. IEEE Transactions on Parallel and Distributed Systems, 32(6), 1494-1510.
[17]Liu, J., Shen, H., Chi, H., Narman, H. S., Yang, Y., Cheng, L., & Chung, W. (2021). A low-cost multi-failure resilient replication scheme for high-data availability in cloud storage. IEEE/ACM Transactions on Networking, 29(4), 1436-1451.
[18]Chen, X., Cheng, L., Liu, C., Liu, Q., Liu, J., Mao, Y., & Murphy, J. (2020). A WOA-based optimization approach for task scheduling in cloud computing systems. IEEE Systems Journal, 14(3), 3117-3128.