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程龙

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姓名:程龙

职称:教授,博士生导师

研究方向(Focus Area):

1、并行分布式计算

2、深度学习

3、流程挖掘

联系方式

办公地址:主楼E0617

电子邮箱:lcheng@ncepu.edu.cn

办公电话:010-61772129


一、个人简介及主要荣誉称号

程龙,男,1985年12月生。2007年在哈尔滨工业大学获得学士学位,2010年在德国杜伊斯堡艾森大学获得硕士学位,2014年在爱尔兰国立大学获得博士学位。现为华北电力大学控制与计算机工程学院教授、爱尔兰国家数据分析研究中心访问教授。之前任爱尔兰都柏林城市大学计算机学院助理教授、欧盟玛丽居里学者,也曾在华为德国、IBM都柏林研究院工作过,并在德国德累斯顿工业大学和荷兰埃因霍温理工大学从事过博士后研究。

主要研究方向是并行分布式计算、深度学习、云计算和大数据处理以及这些技术在流程挖掘与能源大数据上的应用。已在并行分布式计算和大数据处理的权威期刊与会议比如TPDS, TON, TC, TSC, TCC, TCAD, TASE, TSMC, TITS, TVT, TBD, IEEE Network, JPDC, ICPP, CIKM, CCGrid和EuroPar上发表近80篇文章,详细信息见其个人主页https://longcheng.eu/。


、代表性论著

【1】J. Li, Z. Chen, L. Cheng*, X. Liu. Energy Data Generation with Wasserstein Deep Convolutional Generative Adversarial Networks. Energy, 2022. (中科院一区)

【2】Q. Liu, T. Xia, L. Cheng*, M. Eijk, T. Ozcelebi, Y. Mao. Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems. IEEE Transactions on Parallel and Distributed Systems, 2022. (CCF-A)

3K. Zou, Y. Wang, L. Cheng, S. Qu, H. Li, X. Li. CAP: Communication-aware Automated Parallelization for Deep Learning Inference on CMP Architectures. IEEE Transactions on Computers, 2022. (CCF-A)

4Y. Wang, Y. He, L. Cheng, H. Li, X. Li. A Fast Precision Tuning Solution for Always-On DNN Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022. (CCF-A)

5C. Liu, L. Cheng, Q. Zeng, L. Wen. Formal Modeling and Discovery of Hierarchical Business Processes: A Petri Net based Approach. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2022. (中科院一区)

6L. Cheng, Y. Wang, Q. Liu, D. Epema, C. Liu, Y. Mao, J. Murphy. Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers. IEEE Transactions on Parallel and Distributed Systems, 2021. (CCF-A)

7】M. Liu, L. Cheng*, Y. Gu, Y. Wang, Q. Liu, N. O’Connor. MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems. IEEE Transactions on Intelligent Transportation Systems, 2021. (中科院一区)

8】Q. Liu, L. Cheng*, A. Jia, C. Liu. Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks. IEEE Network, 2021. (中科院一区)

9J. Liu, H. Shen, H. Chi, H. Narman, Y. Yang, L. Cheng, W. Chung. A Low-cost Multi-failure Resilient Replication Scheme with Data Correlation for High Data Availability in Cloud Storage. IEEE/ACM Transactions on Networking, 2021. (CCF-A)

10Y. Wang, Yc. Wang, C. Shi, L. Cheng, H. Li, X. Li. An Edge 3D CNN Accelerator for Low Power Activity Recognition. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021. (CCF-A)

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