Guo

Song Guo

Professor
CAE Fellow, IEEE Fellow

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PQ818, Mong Man Wai Building
Department of Computing
The Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong SAR
Phone: +852-2766-7259
E-mail: song.guo@polyu.edu.hk


Google Scholar

ORCID: 0000-0001-9831-2202

Selected Books

  1. Deze Zeng, Lin Gu, Shengli Pan, and Song Guo, Software Defined Systems: Sensing, Communication and Computation, SpringerBriefs in Computer Science, 1st ed. 2020 edition (December 31, 2019), ISBN-13: 978-3030329419.
  2. Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data, Springer Nature Switzerland AG, December 2019.
  3. Song Guo and Deze Zeng (Eds.), Cyber-Physical Systems: Architecture, Security and Application, Book Series of EAI/Springer Innovations in Communication and Computing, 2019.
  4. Shui Yu and Song Guo (Eds.), Big Data Concepts, Theories, and Applications, Springer 2016, ISBN 978-3-319-27761-5.
  5. Lin Gu, Deze Zeng, and Song Guo, Cloud Networking for Big Data, Springer 2015, ISBN 978-3-319-24718-2.
  6. Peng Li and Song Guo, Cooperative Device-to-Device Communication in Cognitive Radio Cellular Networks, Springer 2014, ISSN 2191-5768.
  7. Song Guo (Ed.), Advanced Wireless LAN, ISBN: 978-953-51-0645-6, InTech, 2012.

 

 

Recent Journal Papers

  1. Qihua Zhou, Song Guo, Zhihao Qu, Peng Li, Li Li, Minyi Guo, and Kun Wang, Petrel: Heterogeneity-aware Distributed Deep Learning via Hybrid Synchronization, IEEE Transactions on Parallel and Distributed Computing, accepted.
  2. Xiaojie Wang, Zhaolong Ning, Song Guo, and Lei Wang, Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing, IEEE Transactions on Mobile Computing, accepted.
  3. Yu Ma, Weifa Liang, Jing Li, Xiaohua Jia, and Song Guo, Mobility-Aware and Delay-Sensitive Service Provisioning in Mobile Edge-Cloud Networks, IEEE Transactions on Mobile Computing, accepted.
  4. Jingcai Guo and Song Guo, A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion, IEEE Transactions on Multimedia, accepted.
  5. Shigeng Zhang, Xuan Liu, Yangyang Liu, Bo Ding, Song Guo, and Jianxin Wang, Accurate Respiration Monitoring for Mobile Users with Commercial RFID Devices, IEEE Journal on Selected Areas in Communications, accepted.
  6. Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun and Kun Wang, Falcon: Addressing Stragglers in Heterogeneous Parameter Server via Multiple Parallelism, IEEE Transactions on Computers, accepted.
  7. Qihua Zhou, Kun Wang, Haodong Lu, Wenyao Xu, Yanfei Sun, and Song Guo, Canary: Decentralized Distributed Deep Learning via Gradient Sketch and Partition in Multi-interface Networks, IEEE Transactions on Parallel and Distributed Computing, vol. 32, no. 4, April 2021, pp. 900-917.
  8. Xiaojie Wang, Zhaolong Ning, and Song Guo, Multi-agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm, IEEE Transactions on Parallel and Distributed Computing, vol. 32, no. 2, February 2021, pp. 411-425.
  9. Huawei Huang, Song Guo, Weifa Liang, Kun Wang, and Yasuo Okabe, Coflow-like Online Data Acquisition from Low-Earth-Orbit Datacenters, IEEE Transactions on Mobile Computing, vol. 19, no. 12, December 2020, pp. 2743-2760.
  10. Yufeng Zhan, Song Guo, Peng Li, and Jiang Zhang, A Deep Reinforcement Learning based Offloading Game in Edge Computing, IEEE Transactions on Computers, vol. 69, no. 6, June 2020, pp. 883-893.
  11. Zhe Quan, Zhi-Jie Wang, Ting Ye, and Song Guo, Task Scheduling for Energy Consumption Constrained Parallel Applications on Heterogeneous Computing Systems, IEEE Transactions on Parallel and Distributed Systems, vol. 31, no. 5, May 2020, pp. 1165-1182.
  12. Zhizhao Qu, BaoliuYe, Bin Tang, Song Guo, and Sanglu Lu, Zhuang, Weihua, Cooperative Caching for Multiple Bitrate Videos in Small Cell Edges, IEEE Transactions on Mobile Computing, vol. 19, no. 2, February 2020, pp. 288-299.

 

 

 

Recent Conference Papers

  1. Yi Liu, Leijie Wu, Yufen Zhan, Song Guo, and Zicong Hong, Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism, IEEE International Conference on Parallel and Distributed Systems (ICDCS), July 2021.
  2. Huawei Huang, Zhenyi Huang, Xiaowen Peng, Zibin Zheng, and Song Guo, MVCom: Scheduling Most Valuable Committees for the Large-Scale Sharded Blockchain, IEEE International Conference on Parallel and Distributed Systems (ICDCS), July 2021.
  3. Xiang Yang, Qi Qi, Jingyu Wang, Song Guo, and Jianxin Liao, Towards Efficient Inference: Adaptively Cooperate in Heterogeneous IoT Edge Cluster, IEEE International Conference on Parallel and Distributed Systems (ICDCS), July 2021.
  4. Zicong Hong, Song Guo, Peng Li, and Wuhui Chen, Pyramid: A Layered Sharding Blockchain System, IEEE Conference on Computer Communications (INFOCOM), May 2021.
  5. Lin Gu, Deze Zeng, Jie Hu, Hai Jin, Song Guo, and Albert Zomaya, Exploring Layered Container Structure for Cost Efficient Microservice Deployment, IEEE Conference on Computer Communications (INFOCOM), May 2021.
  6. Xin Xie, Xiulong Liu, Song Guo, Heng Qi, and Keqiu Li, A Lightweight Integrity Authentication Approach for RFID-enabled Supply Chains, IEEE Conference on Computer Communications (INFOCOM), May 2021.
  7. Jingcai Guo, Shiheng Ma, Jie Zhang, Qihua Zhou, and Song Guo, Dual-view Attention Networks for Single Image Super-Resolution, ACM International Conference on Multimedia (MM), Seattle, USA, October 2020.
  8. Shigeng Zhang, Xuan Liu, Song Guo, Albert Zomaya, and Jianxin Wang, Why Queue Up? Fast Parallel Search of RFID Tags for Multiple Users, ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), Online, October 2020.
  9. Jianting Zhang, Zicong Hong, Xiaoyu Qiu, Yufeng Zhan, Song Guo, and Wuhui Chen, SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System, International Conference on Parallel Processing (ICPP), Edmonton, Canad, August 2020.
  10. Shigeng Zhang, Yinggang Li, Xuan Liu, Song Guo, Weiping Wang, and Jianxin Wang, Towards Real-time Cooperative Deep Inference over the Edge and End Devices, ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Cancun, Mexico, September 2020.
  11. Qihua Zhou, Song Guo, Peng Li, Yanfei Sun, Li Li, Minyi Guo, and Kun Wang, Petrel: Community-aware Synchronous Parallel for Heterogeneous Parameter Server, IEEE International Conference on Parallel and Distributed Systems (ICDCS), Singapore, July 2020.
  12. Yufeng Zhan, Peng Li and Song Guo, Experience-Driven Computational Resource Allocation of Federated Learning by Deep Reinforcement Learning, IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, USA, May 2020.
  13. Haozhao Wang, Song Guo, and Ruixuan Li, OSP: Overlapping Computation and Communication in Parameter Server for Fast Machine Learning, International Conference on Parallel Processing (ICPP), Kyoto, Japan, August 2019.
  14. Jingcai Guo and Song Guo, AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning, IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, July 2019.
  15. Qihua Zhou, Kun Wang, Song Guo, Haodong Lu, Li Li, Minyi Guo, and Yanfei Sun, Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server, IEEE International Conference on Parallel and Distributed Systems (ICDCS), Dallas, USA, July 2019.
  16. Lin Gu, Deze Zeng, Wei Li, Song Guo, Albert Y. Zomaya, and Hai Jin, Deep Reinforcement Learning based VNF Management in Geo-distributed Edge Computing, IEEE International Conference on Parallel and Distributed Systems (ICDCS), Dallas, USA, July 2019.
  17. Shiheng Ma, Song Guo, Kun Wang, Weijia Jia, and Minyi Guo, A Cyclic Game for Joint Cooperation and Competition of Edge Resource Allocation, IEEE International Conference on Parallel and Distributed Systems (ICDCS), Dallas, USA, July 2019.
  18. Shiheng Ma, Song Guo, Kun Wang, and Minyi Guo, Service Demand Prediction with Incomplete Historical Data, IEEE International Conference on Parallel and Distributed Systems (ICDCS), Dallas, USA, July 2019.
  19. Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, and Chengjie Li, Heterogeneity-aware Gradient Coding for Straggler Tolerance, IEEE International Conference on Parallel and Distributed Systems (ICDCS), Dallas, USA, July 2019.
  20. Jincai Guo and Song Guo, Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.
  21. Jincai Guo and Song Guo, EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.