Last updated: 23-12-2023
Dr. Feng LIANG (梁鋒)
Email: liangfengsid \at gmail \dot com or fliang \at smbu \dot edu \dot cn
Associate Professor with Artificial Intelligence Research Institute, Shenzhen MSU-BIT University (SMBU)
Former founder&CTO, Shenzhen Qmaple Technology Co., Ltd and previously a senior research engineerer in Huawei
Obtained Ph.D. Degree in computer science from The University of Hong Kong (2012-2017)
Obtained B.Eng. Degree in software engineering from Nanjing University (2008-2012)
PhD Supervisor: Prof. Francis C.M. Lau
Email: liangfengsid \at gmail \dot com or fliang \at smbu \dot edu \dot cn
Associate Professor with Artificial Intelligence Research Institute, Shenzhen MSU-BIT University (SMBU)
Former founder&CTO, Shenzhen Qmaple Technology Co., Ltd and previously a senior research engineerer in Huawei
Obtained Ph.D. Degree in computer science from The University of Hong Kong (2012-2017)
Obtained B.Eng. Degree in software engineering from Nanjing University (2008-2012)
PhD Supervisor: Prof. Francis C.M. Lau
Research interest: Distributed systems and databases, distributed machine learning, and interdisciplinary studies on brain and emotion
Academic activities:
Publicity Chair, 8th IEEE International Conference on Smart Internet of Things (SmartIoT) 2024
TPC Member, 10th International Conference on Big Data Computing and Communications (BIGCOM) 2024
TPC Member, 44th IEEE International Conference on Distributed Computing Systems (ICDCS), 2024
Distinguished contributor, 19th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (Qshine), 2023
TPC Member, The 2nd International Workshop on Social and Metaverse Computing and Networking (SocialMeta), 2023
Session chair, the 11th WorkShop on High-Performance, Power-Aware Computing (IPDPS-HPPAC), 2015
Reviewer of Journal of Interconnection Network (JOIN), 2013
Reviewer of The 22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2016
Github Pypi Repository
Publications: (* Same contribution)
• F. Liang, Z. Zhang, H. Lu, V. C. M. Leung, Y. Guo, and X. Hu, "Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey", 2024. [link |pdf]
• F. Liang, F.C.M. Lau, H. Cui, Y. Li, B. Lin, C. Li, and X. Hu, "RelJoin: Relative-cost-based Selection of Distributed Join Methods for Query Plan Optimization", Elsevier Information Sciences (INS), vol. 658, 2024. (IF: 8.23) [link | code]
• W. Guo, B. Lin, G. Chen, Y. Chen and F. Liang, "Cost-Driven Scheduling for Deadline-Based Workflow Across Multiple Clouds", IEEE Transactions on Network and Service Management (TNSM), vol. 15, no. 4, pp. 1571-1585, Dec. 2018. (IF:4.76) [link | pdf]
• F. Liang, F.C.M. Lau, H. Cui and C.-L. Wang, "Confluence: Speeding Up Iterative Distributed Operations by Key-dependency-aware Partitioning", IEEE Transactions on Parallel and Distributed Systems (TPDS), 2018. (CCF-A, IF:5.3) [link | pdf | code]
• J. Jiang, S. Zhao, D. Alsayed, Y. Wang, H. Cui, F. Liang, and Z. Gu, "Kakute: A Precise, Unified Information Flow Analysis System for Big-data Security", Annual Computer Security Applications Conference (ACSAC), 2017. (CCF-B, *Distinguished Paper Award) [link | pdf]
• F. Liang and F.C.M. Lau, "BAShuffler: Maximizing Network BAndwidth Utilization in the Shuffle of YARN", 25th ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), Kyoto, Japan, May 31 - June 4, 2016. (CCF-B) [link | pdf]
Patents:
[PCT/CN] "Log Processing Method, Related Device, and System", LU Yuanfei, LIANG Feng and LIU Cunwei, owned by Huawei, Pub. No.: WO/2019/109953, June 2019.
[PCT/CN] "Configuration Modification Method for Storage Cluster, Storage Cluster and Computer System", ZHOU Siyi, LIANG Feng, ZHI Yanan and HUANG Xihua, owned by Huawei, Pub. No.: WO/2019/085875, May 2019.
Publicity Chair, 8th IEEE International Conference on Smart Internet of Things (SmartIoT) 2024
TPC Member, 10th International Conference on Big Data Computing and Communications (BIGCOM) 2024
TPC Member, 44th IEEE International Conference on Distributed Computing Systems (ICDCS), 2024
Distinguished contributor, 19th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (Qshine), 2023
TPC Member, The 2nd International Workshop on Social and Metaverse Computing and Networking (SocialMeta), 2023
Session chair, the 11th WorkShop on High-Performance, Power-Aware Computing (IPDPS-HPPAC), 2015
Reviewer of Journal of Interconnection Network (JOIN), 2013
Reviewer of The 22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2016
Awards and Grants:
Overseas High-Caliber Personnel in Shenzhen, China
Shenzhen Overseas Entrepreneurship Fund, 2020-2021
Semi-finalists of the Innovation and Entrepreneurship Competition of Shenzhen, 2020
Semi-finalists of the China Innovation and Entrepreneurship Competition for SMEs, 2019&2020, respectively
TCPP Conference Travel Grant (2015)
Postgraduate Scholarship of The University of Hong Kong, 2012-2016
Outstanding Graduate, Nanjing University, 2012
Excellent Award of the Innovation Cup, Software Institute, Nanjing University, 2011
Excellent Student Award, Software Institute, Nanjing University, 2009&2010, respectively
Second prize of People's Scholarship, and Second prize of Social Work Scholarship, Nanjing University, 2010
Excellent Staff of Student Union, Software Institute, Nanjing University, 2010
First prize of People's Scholarship, Nanjing University, 2009
Events:
Program Chair of Canadian Computing Competition Hong Kong Contest (CCC), 2014
Web Master of Lap-Chee College, The University of Hong Kong, 2013-2015
***New*** Open source project:
TensorOnSpark
TensorOnSpark is a fast, scalable and reliable distributed framework for machine learning (deep learning). TensorFlow programs can run on Spark seamlessly with redundant distributed resources and high accuracy. It currently supports Python on Linux and Mac OS. The release and source and can be downloaded via Pypi and Github, respectly.Github Pypi Repository
