Jianguo WANG

PhD Candidate
Department of Computer Science and Engineering
University of California, San Diego

Office: EBU3B 3232
Email: csjgwang@cs.ucsd.edu
Biography

Jianguo Wang is currently a PhD candidate in the Department of Computer Science and Engineering at the University of California, San Diego (since 2013). He is a member of Database Lab and Non-Volatile System Lab. He is co-supervised by Prof. Yannis Papakonstantinou and Prof. Steven Swanson. He is also working with Prof. Nuno Bandeira on the GNPS project for big data analytics in Mass Spectrometry.

Before that, he obtained his Mphil and BEng degrees in computer science from The Hong Kong Polytechnic University and Zhengzhou University, respectively.



Research Interests

  • Data management systems, e.g., databases, search engines

  • Modern hardware, e.g., non-volatile main memory, solid state drives, in-storage computing, modern CPUs, GPUs, especially their implications to data management systems

  • Emerging applications, e.g., mass spectrometry, proteomics, especially the non-trivial solutions from a data management perspective

    • Currently, he is mainly working on building a data management system to support big data analytics in mass spectrometry by leveraging application-specific knowledge and modern hardware properties.


    Publications [DBLP]
    • Yang Liu, Jianguo Wang, Steven Swanson.
      Griffin: Uniting CPU and GPU in Information Retrieval Systems for Intra-Query Parallelism.
      Proceedings of ACM Symposium on Principles and Practice of Parallel Programming (PPoPP), 2018.

    • Chunbin Lin, Jiaheng Lu, Zhewei Wei, Jianguo Wang, Xiaokui Xiao.
      Optimal Algorithms for Selecting Top-k Combinations of Attributes: Theory and Applications.
      Very Large Data Base Journal (VLDBJ), 2018.

    • Jianguo Wang, Chunbin Lin, Yannis Papakonstantinou, Steven Swanson.
      An Experimental Study of Bitmap Compression vs. Inverted List Compression.
      Proceedings of ACM Conference on Management of Data (SIGMOD), 2017.

    • Jianguo Wang, Chunbin Lin, Ruining He, Moojin Chae, Yannis Papakonstantinou, Steven Swanson.
      MILC: Inverted List Compression in Memory.
      Proceedings of Very Large Data Bases Conference (VLDB), 2017.

    • Chunbin Lin, Jianguo Wang, Yannis Papakonstantinou.
      GQFast: Fast Graph Exploration with Context-aware Autocompletion.
      Proceedings of International Conference on Data Engineering (ICDE), 2017.

    • Chuitian Rong, Chunbin Lin, Yasin Silva, Jianguo Wang, Wei Lu, Xiaoyong Du.
      Fast and Scalable Distributed Set Similarity Joins for Big Data Analytics.
      Proceedings of International Conference on Data Engineering (ICDE), 2017.

    • Chunbin Lin, Jianguo Wang.
      SpiderX: Fast XML Exploration System.
      Proceedings of International World Wide Web Conference (WWW), 2017.

    • Chunbin Lin, Jianguo Wang, Jiaheng Lu.
      Location-sensitive Query Auto-completion.
      Proceedings of International World Wide Web Conference (WWW), 2017.

    • Jianguo Wang, Dongchul Park, Yannis Papakonstantinou, Steven Swanson.
      SSD In-Storage Computing for Search Engines.
      IEEE Transactions on Computers (TC), 2016.

    • Chunbin Lin, Jianguo Wang, Yannis Papakonstantinou.
      Data Compression for Analytics over Large-Scale In-Memory Column Databases.
      arXiv, 1606.09315, 2016.

    • Jianguo Wang, Dongchul Park, Yang-Suk Kee, Yannis Papakonstantinou, Steven Swanson.
      SSD In-Storage Computing for List Intersection.
      Proceedings of International Workshop on Data Management on New Hardware (DaMoN), affiliated with SIGMOD, pages 1-7, 2016.

    • Ruining He, Chunbin Lin, Jianguo Wang, Julian McAuley.
      Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class Collaborative Filtering.
      Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), pages 3740-3746, 2016.

    • Jianguo Wang, Eric Lo, Man Lung Yiu, Jiancong Tong, Gang Wang, Xiaoguang Liu.
      Cache Design of SSD-Based Search Engine Architectures: An Experimental Study.
      ACM Transactions on Information Systems (TOIS), 32(4): 1-26, 2014.

    • Jianguo Wang, Eric Lo, Man Lung Yiu, Jiancong Tong, Gang Wang, Xiaoguang Liu.
      The Impact of Solid State Drive on Search Engine Cache Management.
      Proceedings of ACM Conference on Research and Development in Information Retrieval (SIGIR), pages 693-702, 2013.

    • Jianguo Wang, Eric Lo, Man Lung Yiu.
      Identifying the Most Connected Vertices in Hidden Bipartite Graphs using Group Testing.
      IEEE Transactions on Knowledge and Data Engineering (TKDE), 25(10): 2245-2256, 2013.


    Services


    Internships
    • Oracle Advanced Development Group, Oracle Inc, Redwood Shores, CA   06-09/2018
      Project: Bloom Filter Compression for In-Memory Databases
      Mentor: Dr. Weiwei Gong and Dr. Garret Swart

    • MSR Database Group, Microsoft Research, Redmond, WA   06-09/2015
      Project: Optimizing the Bw-tree Indexing for High Performance Transactions
      Mentors: Dr. David Lomet and Dr. Justin Levandoski

    • Samsung System Architecture Lab, Samsung Semiconductor Inc, San Jose, CA   06-09/2014
      Project: SSD In-Storage Computing (a.k.a Smart SSD)
      Mentors: Dr. Dongchul Park and Dr. Yang-Suk Kee

    • Tencent Search Engine Group, Tencent Inc, Shenzhen, China   03/2013
      Project: Large-Scale Query Log Analysis in Search Engines

    • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China   06/2009-06/2010
      Project: Multidimensional Hierarchical Data Management in Knowledge Base


    Teaching Assistantships
    • CSE132A. Database Systems Principles. University of California, San Diego. Winter 2016.
      Instructor: Prof. Victor Vianu

    • COMP327. Data Structures and Algorithms. The Hong Kong Polytechnic University. Fall 2012.
      Instructor: Prof. Man Lung Yiu

    • COMP328. Programming Languages: Theory and Applications. The Hong Kong Polytechnic University. Spring 2012.
      Instructor: Prof. Man Lung Yiu