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Yue Wang

Yue Wang

Email:yuewang  sics.ac.cn

Biography

Yue Wang received his Ph.D. degree in 2019 from the department of Computer Science and Engineering (CSE) of the Hong Kong University of Science and Technology (HKUST), supervised by Prof. Lei Chen. He received his M.Sc. degree from HKUST in 2014, and B.Eng. degree from Beihang University (BUAA) in 2013.

Research Interests

  • Graph algorithms
  • Heteogeneous graphs
  • Distributed computing

Publications

Conference Publications

  • Yue Wang, Ruiqi Xu, Zonghao Feng, Yulin Che, Lei Chen, Qiong Luo, Rui Mao: DISK: A Distributed Framework for Single-Source SimRank with Accuracy Guarantee.
    The 47th International Conference on Very Large Data Bases, 2021.
  • Jingzhi Fang, Yanyan Shen, Yue Wang, Lei Chen: Optimizing DNN Computation Graph using Graph Substitutions. The 46th International Conference on Very Large Data Bases, 2020.
  • Alexander Zhou, Yue Wang*, Lei Chen: Finding Large Diverse Communities on Networks: The Edge Maximum k*-Partite Clique. The 46th International Conference on Very Large Data Bases, 2020.
  • Xun Jian, Yue Wang*, Lei Chen: Effective and Efficient Relational Community Detection and Search in Large Dynamic Heterogeneous Information Networks. The 46th International Conference on Very Large Data Bases, 2020.
  • Yulin Che, Zhuohang Lai, Shixuan Sun, Yue Wang, Qiong Luo: Accelerating Truss Decomposition on Heterogeneous Processors. The 46th International Conference on Very Large Data Bases, 2020.
  • Xun Jian, Yue Wang, Xiayu Lei, Libin Zheng, Lei Chen:SPARQL Rewriting: Towards Desired Results ACM Conference on Management of Data(SIGMOD 2020), June 14-19, 2020, Portland Oregon, USA
  • Xun Jian, Yue Wang, Xiayu Lei, Yanyan Shen, Lei Chen: DDSL: Efficient Subgraph Listing on Distributed and Dynamic Graphs. (Short Paper) The 25th International Conference on Database Systems for Advanced Applications, May 21-24, 2020, Jeju, South Korea.
  • Zijian Li, Wenhao Zheng, Xueling Lin, Ziyuan Zhao, Zhe Wang, Yue Wang, Xun Jian, Lei Chen, Qiang Yan, Tiezheng Mao:TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings IEEE International Conference on Data Engineering(ICDE 2020), April 20-24, 2020, Dallas, Texas, USA
  • Yue Wang, Zhe Wang, Ziyuan Zhao, Zijian Li, Xun Jian, Lei Chen, Jianchun Song:HowSim: A General and Effective Similarity Measure on Heterogeneous Information NetworksIEEE International Conference on Data Engineering(ICDE 2020), April 20-24, 2020, Dallas, Texas, USA
  • Yulin Che, Zhuohang Lai, Shixuan Sun, Qiong Luo, Yue Wang: Accelerating All-Edge Common Neighbor Counting on Three Processors. The 48th International Conference on Parallel Processing, August 5-8, 2019, Kyoto Research Park, Kyoto, Japan.
  • Zijian Li, Lei Chen, Yue Wang: G*-Tree: An Efficient Spatial Index on Road Networks. The 35th International Conference on Data Engineering, 8-12 April 2019, Macau SAR, China.
  • Yue Wang, Xiang Lian, Lei Chen: Efficient SimRank Tracking in Dynamic Graphs. The 34th International Conference on Data Engineering, 16-19 April 2018, Paris, France.

Journal Publications

  • Yue Wang, Zhe Wang, Ziyuan Zhao, Zijian Li, Xun Jian, Hao Xin, Lei Chen, Jianchun Song, Zhenhong Chen, Meng Zhao: Effective Similarity Search on Heterogeneous Networks: A Meta-path Free Approach. IEEE Transactions on Knowledge and Data Engineering, 2020.
  • Wenfei Fan, Kun He, Qian Li, Yue Wang: Graph Algorithms: Parallelization and Scalability. SCIENCE CHINA Information Sciences, 2020.
  • Yue Wang, Zonghao Feng, Lei Chen, Zijian Li, Xun Jian, Qiong Luo:Efficient Similarity Search for Sets over Graphs IEEE Transactions on Knowledge and Data Engineering(TKDE 2019)
  • Yue Wang, Yulin Che, Xiang Lian, Lei Chen, Qiong Luo:Fast and Accurate SimRank Computation via Forward Local Push and Its Parallelizatio. IEEE Transactions on Knowledge and Data Engineering(TKDE 2020)
  • Yue Wang, Lei Chen, Yulin Che, Qiong Luo: Accelerating Pairwise SimRank Estimation over Static and Dynamic Graphs. The VLDB Journal, 28(1): 99-122, 2019.
  • Yue Wang, Xun Jian, Zhenhua Yang, Jia Li: Query Optimal k-Plex Based Community in Graphs. Data Science and Engineering, 2(4): 257-273, 2017.

Awards

  • Postgraduate Scholarship, CSE Dept., HKUST, Annually (2014 – 2019).
  • Outstanding Graduate from Beihang University, BUAA, Jun 2013.

Current Project

RML (Logic Rules and Machine Learning) is a system that mainly builds a data availability cloud platform. Under the guidance of the self-developed data quality foundational theory, RML uses the combination of rules and AI under a unified logic framework to solve data consistency, timeliness, and the same problem of accuracy, completeness, and substance. The system is oriented to centralized/distributed data, relational/graph data to create a one-stop solution for data and knowledge collection, quality evaluation, data analysis, data error checking, entity recognition, data repair, and data fusion. RML takes advantage of China’s data scale to form a positive cycle of two-way interaction between data and the platform and accelerate the high-quality conversion of data to digital intelligence. It promotes the high-quality application of data production factors in various industries, consolidates the digital economy’s infrastructure, and leads the development of global data availability.

His homepage: http://home.cse.ust.hk/~ywangby/