Yanfeng Zhang    中文版 I am a professor of Department of Computer Science and Engineering at Northeastern University, China. I received my B.A., M.S., and Ph.D. from Northeastern University, China, in 2005, 2008, and 2012 respectively. During my Ph. D. study from Aug. 2009 to Apr. 2012, I had spent 2.5 years working in Multimedia Networking & Internet Lab at University of Massachusetts Amherst as a visiting Ph.D. student. I am leading Intelegent Distributed Computing Group. Email: zhangyf@mail.neu.edu.cn Phone: +86-24-83672602 Office: Xinxi B342D (Hunnan Campus)

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RESEARCH INTERESTS

• Graph Computation Systems
  
• Distributed Database Systems
  
• Large-Scale Machine Learning Systems
  

TEACHING

• Artificial Intelligence
• AI Computing Systems
• Big Data Mining and Distributed Processing

RECENT PUBLICATIONS  (FULL PUBLICATION LIST)

• Towards Transaction as a Service 
  Yanfeng Zhang, Weixing Zhou, Yang Ren, Sihao Li, Guoliang Li, and Ge Yu
  arxiv 2311.07874, 2024.
• RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing  (CCFA)
  Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, Shufeng Gong, Qiange Wang, Ge Yu, and Jingren Zhou.
  Proceedings of the VLDB Endowment (PVLDB 2024), Guangzhou, China (and hybrid), 2024.
• NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams  (CCF A)
  Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu.
  Proceedings of the VLDB Endowment (PVLDB 2024), Guangzhou, China (and hybrid), 2024.
• ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling (CCF A)
  Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, and Ge Yu.
  Proceedings of the International Conference on Management of Data (SIGMOD 2024), Santiago, Chile, 2024.
• GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database (CCF A)
  Weixing Zhou, Qi Peng, Zijie Zhang, Yanfeng Zhang, Yang Ren, Sihao Li, Guo Fu, Yulong Cui, Qiang Li, Caiyi Wu, Shangjun Han, Shengyi Wang, Guoliang Li, and Ge Yu.
  ACM International Conference on Management of Data 2023 (SIGMOD 2023), Seattle, USA, 2023.
• Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph (CCF A)
  Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, and Jingren Zhou.
  IEEE International Conference on Data Engineering 2023 (ICDE 2023), Anaheim, USA, 2023.
• HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management (CCF A) [Code, Slides, Video]
  Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, and Ge Yu.
  IEEE International Conference on Data Engineering 2023 (ICDE 2023), Anaheim, USA, 2023.
• NeuChain: A Fast Permissioned Blockchain System with Deterministic Ordering (CCF A) [Code, Slides]
  Zeshun Peng, Yanfeng Zhang, Qian Xu, Haixu Liu, Yuxiao Gao, Xiaohua Li, Ge Yu
  Proceedings of the VLDB Endowment (PVLDB 2022), Sydney, Australia, 2022.
• NeutronStar: Distributed GNN Training with Hybrid Management  (CCF A) [Code, Slides, Video]
  Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, Xiaodong Zhang, Ge Yu
  Proceedings of the International Conference on Management of Data (SIGMOD 2022), Philadephia, USA, 2022.
• Automating Incremental Graph Processing with Flexible Memoization  (CCF A)
  Shufeng Gong, Chao Tian, Qiang Yin, Wenyuan Yu, Yanfeng Zhang, Liang Geng, Song Yu, Ge Yu, Jingren Zhou
  Proceedings of the VLDB Endowment (PVLDB 2021), Copenhagen, Denmark, 2021.
• What Have We Learned from OpenReview? [Code]  Best Student Paper Runner-up
  Gang Wang, Qi Peng, Yanfeng Zhang, Mingyang Zhang
  APWeb-WAIM 2021, Guangzhou, China, 2021.
• Accelerating Large-Scale Prioritized Graph Computations by Hotness Balanced Partition  (CCF A) [Code]
  Shufeng Gong, Yanfeng Zhang, Ge Yu
  IEEE Transactions on Parallel and Distributed Systems (TPDS), 32(4), Apr, 2021, pp. 746-759.
• Distributed Graph Processing: Techniques and Systems  (Invited Tutorial) [Slides]
  Yanfeng Zhang, Qiange Wang, Shufeng Gong.
  APWeb-WAIM International Joint Conference on Web and Big Data (APWeb-WAIM 2020), Tianjin, China, 2020.
• Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing  (CCF A) [Code, Slides]
  Qiange Wang, Yanfeng Zhang, Hao Wang, Liang Geng, Rubao Lee, Xiaodong Zhang, Ge Yu.
  ACM International Conference on Management of Data (SIGMOD 2020), Portlad, USA, 2020.
• HBP: Hotness Balanced Partition for Prioritized Iterative Graph Computations  (CCF A) [Code, Slides]
  Shufeng Gong, Yanfeng Zhang, and Ge Yu
  IEEE International Conference on Data Engineering 2020 (ICDE 2020), Dallas, USA, 2020.

PROFESSIONAL SERVICES

    Program Committee Member

• ICDCS 2019; IPCCC 2017; ICDCS 2016; BDCloud 2016; IPCCC 2016; PMAM 2015; IPCCC 2015; CIKM 2014; IPCCC 2014

    Reviewer for Journal

• IEEE Transactions on Prallel and Distributed Systems; IEEE Transactions on Data and Knowledge Engineering; IEEE Transactions on Cloud Computing; IEEE Transactions on Big Data; Journal of Parallel and Distributed Computing

AWARDS AND HONORS

• APWEB-WAIM 2021 Best Student Paper Runner-Up, 2021


• CCF BigData 2018 Best Paper Runner-Up, 2018


• CCF BigData 2017 Best Student Paper Award, 2017


• 3rd National Cloud Computing Application and Innovation Contest Best Instructor Award, 2017


• NDBC 2015 Best Paper Award, 2015


• SOCC 2011 Paper of Distinction, 2011

RESOURCES

Resources

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* Last modified: March. 2022