HuangLab

News Selected

About Lab Director

• Dr. Huawei HUANG earned his Ph.D. degree in Computer Science and Engineering from The University of Aizu (Japan). He has served as a research fellow of JSPS, a visiting scholar at Hong Kong Polytechnic University, and a program-specific Assistant Professor at Kyoto University (Japan).
• Huawei Huang is currently an Associate Professor at the School of Software Engineering (SSE), at Sun Yat-Sen University, China.

Research Interests

• The research interests of HuangLab mainly include
  • High-Performance Blockchains (Layer1 & Layer2 protocols),
  • Distributed Computing, Protocols and Systems.

Fundings and Grants

1. NSFC, General Program, Blockchain scalability, FY2023-2026, PI
2. National Key & Dev. Program of China, Blockchain scalability, FY2022-2025, Co-PI
3. CCF-Huawei Industrial Project, Blockchain scalability, FY2022-2023, PI
4. National Key & Dev. Program of China, Federated Learning, FY2021-2023, Co-PI
5. NSFC of Young Scientist Program, Edge Computing, FY2020-2022, PI
6. Guangdong Basic and Applied Basic Research Foundation, FY2019-2022, PI
7. Guangzhou Basic and Applied Basic Research Foundation, FY2021-2023, PI
8. Fundamental Research Funds for the Top Universities of China, FY2019-2021, PI
9. Natural Science Foundation of Guangdong Province, FY2019-2022, PI
10. Kyoto University Research Fund for Young Scientists (Start-up), FY 2018, JPY ¥830K, PI
11. JSPS KAKENHI (Grant-in-Aid for JSPS Research Fellows)
    • Project Number: JP16J07062, PI
    • Project Period: April 2016 ~ March 2018
    • Research Title: “Joint Optimization of Routing and Protection for Software-Defined Networking”
12. JSPS Research Fellowship for Young Scientists (Apr 2016 – Mar 2018)
    • Detail: JSPS Research Fellowship is awarded to young researchers in Japan who demonstrate their excellent research.

Selected Publications

( * represents the corresponding author )

2023:

• Huawei Huang, Xiaowen Peng, Yue Lin, Miaoyong Xu, Guang Ye, Zibin Zheng, Song Guo, “Scheduling Most Valuable Committees for the Sharded Blockchain,” IEEE Transactions on Networking (ToN/TNet), 2023.  (CCF-A, Top-tier Journal) [ PDF ] [公众号介绍文章]
• Jian Zheng, Huawei Huang*, Zibin Zheng, Song Guo, “Adaptive Double-Spending Attacks on PoW-based Blockchains”, IEEE Transactions on Dependable and Secure Computing (TDSC), 2023. (CCF-A, Top-tier Journal) [ 论文介绍 ] [公众号介绍文章]
• Huawei Huang, Yetong Zhao, Zibin Zheng*, “tMPT: Reconfiguration across Blockchain Shards via Trimmed Merkle Patricia Trie,” IEEE/ACM International Symposium on Quality of Service (IWQoS), 2023. [ 论文介绍 ]

2022:

• Huawei Huang, Xiaowen Peng, Jianzhou Zhan, Shenyang Zhang, Yue Lin, Zibin Zheng, Song Guo, “BrokerChain: A Cross-Shard Blockchain Protocol for Account/Balance-based State Sharding”, INFOCOM, May 2022.  (CCF-A, Top-tier Conference) [ResearchGate Page],  [公众号介绍文章]
• Huawei Huang, Zhengyu Yue, Xiaowen Peng, Liuding He, Wuhui Chen, Hong-Ning Dai, Zibin Zheng, Song Guo, “Elastic Resource Allocation against Imbalanced Transaction Assignments in Sharding-based Permissioned Blockchains”, IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 33, No. 10, pp.2372 –2385, Oct. 2022.  (CCF-A, Top-tier Journal) [ResearchGate Page],  [公众号介绍文章]
• Huawei Huang, Ruixin Li, Jialiang Liu, Sicong Zhou, Kangying Lin, and Zibin Zheng, “ContextFL: Context-aware Federated Learning by Estimating the Training and Reporting Phases of Mobile Clients”, IEEE International Conference on Distributed Computing Systems (ICDCS), 2022. [公众号介绍文章]
• Canlin Li, Huawei Huang*, Yetong Zhao, Xiaowen Peng, Ruijie Yang, Zibin Zheng, Song Guo, “Achieving Scalability and Load Balance across Blockchain Shards for State Sharding”, the 41st International Symposium on Reliable Distributed Systems (SRDS), 2022. [公众号介绍文章]

2021:

• Huawei Huang, Zhenyi Huang, Xiaowen Peng, Zibin Zheng, Song Guo, “MVCom: Scheduling Most Valuable Committees for the Large-Scale Sharded Blockchain”, ICDCS, July 2021.  (Top-tier conference in the field of Distributed Computing and Systems)  [PDF] [Slides] [公众号介绍文章]
• Jian Zheng, Canlin Li, Huawei Huang*, Zibin Zheng, Song Guo, “Revisiting Double-Spending Attacks on the Bitcoin Blockchain: New Findings“, IWQoS 2021 (CCF-B). [Slides]
• Huawei Huang, Wei Kong, Sicong Zhou, Zibin Zheng, Song Guo, “A Survey of State-of-the-Art on Blockchains: Theories, Modelings, and Tools”, ACM Computing Surveys, vol. 54, no. 2, March 2021. (IF: 7.99). arXiv: https://arxiv.org/abs/2007.03520

2020:

• 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 (TMC), Volume: 19, Issue: 12, pp.2743 – 2760, Dec. 1, 2020. (CCF-A, Top-tier Journal) [PDF]
• Sicong Zhou, Huawei Huang*, Wuhui Chen, Pan Zhou, Zibin Zheng, Song Guo, “PIRATE: A Blockchain-based Secure Framework of Distributed Machine Learning in 5G Networks“, IEEE Network, 2020. [PDF]

Prior to 2018:

• [1] Huawei Huang, Song Guo, Weifa Liang, Keqiu Li, Baoliu Ye and Weihua Zhuang, “Near-Optimal Routing Protection for In-Band Software-Defined Heterogeneous Networks”, IEEE Journal on Selected Areas in Communications (JSAC), vol. 16, no. 20, pp. 7421-7432, October 2016. (CCF-A, Top-tier Journal) [PDF]
• [2] Huawei Huang, Song Guo, Peng Li, Weifa Liang and Albert Y. Zomaya, “Cost Minimization for Rule Caching in Software Defined Networking”, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 27, no. 4, pp. 1007-1016, April 2016. (CCF-A, Top-tier Journal) [PDF]
• [3] Huawei Huang, Song Guo, Peng Li, Baoliu Ye and Ivan Stojmenovic, “Joint Optimization of Rule Placement and Traffic Engineering for QoS Provisioning in Software Defined Network”, IEEE Transactions on Computers (TC), vol. 64, no. 12, pp. 3488-3499, Dec. 2015. (CCF-A, Top-tier Journal) [PDF]
• [4] Huawei Huang, Song Guo, Jinsong Wu and Jie Li, “Service Chaining for Hybrid Network Functions”, IEEE Transactions on Cloud Computing (TCC), vol. 7, no. 4, pp. 1082-1094, Oct-Dec 2019. [PDF]
• [5] Huawei Huang, Peng Li, Song Guo, Weifa Liang and Kun Wang, “Near-Optimal Deployment of Service Chains by Exploiting Correlations between Network Functions”, IEEE Transactions on Cloud Computing (TCC), 2017, In Press, DOI: 10.1109/TCC.2017.2780165 [PDF]