Zeyi Wen

Research Fellow

Contact

Department of Computer Science
School of Computing
National University of Singapore, Singapore
Face to face: Room 01.10, COM1 Building, 13 Computing Drive, 117417
Email: hello_world@comp.nus.edu.sg where hello_world=wenzy

Short Bio

I am a research fellow at National University of Singapore advised by Associate Professor Bingsheng He. Before working in Singapore, I was a research fellow at University of Melbourne from 2015 to 2016, completed my PhD degree at University of Melbourne in 2015, and received a bachelor's degree in Software Engineering from South China University of Technology (Project 985 Universities) in 2010.

Research

  • Areas of research: System Support for Machine Learning, Parallel Computing and Data Mining.
  • Selected projects:
    • ThunderSVM
      • supports all the functionalities of LibSVM including classification, regression and distribution estimation,
      • is often 10 to 100 times faster than LibSVM,
      • has attracted 900+ stars and 100+ forks on GitHub, and
      • is built on these pieces of key related work: JMLR'18, TKDE'18 and ICDM'14.
    • ThunderGBM
      • supports classification, regression and ranking,
      • is often 10 times faster than XGBoost, LightGBM and CatBoost,
      • has attracted 300+ stars and 30+ forks on GitHub, and
      • is built on our related work: IPDPS'18.

Selected Publications (full list; first authors with * are my advised master students)

  • Zeyi Wen, Dong Deng, Rui Zhang, and Kotagiri Ramamohanarao. An Efficient Entity Extraction Algorithm using Two-Level Edit-Distance. The 35th proceedings of IEEE International Conference on Data Engineering (ICDE), 2019.
  • Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia, and Bo Li. Aucher: Multi-modal Queries on Live Audio Streams in Real-time. The 35th proceedings of IEEE International Conference on Data Engineering (ICDE), 2019 (demo).
  • Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, and Yawen Chen. Efficient Multi-Class Probabilistic SVMs on GPUs. The 35th proceedings of IEEE International Conference on Data Engineering (ICDE), 2019 (poster).
  • Zeyi Wen, Jiashuai Shi, Qinbin Li, Bingsheng He, and Jian Chen. ThunderSVM: A Fast SVM Library on GPUs and CPUs. Journal of Machine Learning Research (JMLR), volume 19, pages 1-5, 2018.
  • Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, and Yawen Chen. Efficient Multi-Class Probabilistic SVMs on GPUs. IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted in August 2018.
  • Zeyi Wen, Bingsheng He, Kotagiri Ramamohanarao, Shengliang Lu, and Jiashuai Shi. Efficient Gradient Boosted Decision Tree Training on GPUs. The 32nd IEEE International Parallel and Distributed Processing Symposium (IPDPS), pages 234-243, 2018.
  • Zeyi Wen, Xingyang Liu, Hongjian Cao, and Bingsheng He. RTSI: An Index Structure for Multi-modal Real-Time Search on Live Audio Streaming Services. The 34th proceedings of IEEE International Conference on Data Engineering (ICDE), pages 1495-1506, 2018.
  • Jiashuai Shi*, Zeyi Wen, Bingsheng He, and Jian Chen. Efficient Support Vector Machine Training Algorithm on GPUs. To appear in the 32nd proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2018 (poster).
  • Yawen Chen*, Zeyi Wen, Jian Chen and Jin Huang. Selecting Proper Multi-class SVM Training Methods. To appear in the 32nd proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2018 (poster).
  • Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, and Li Yang. Scalable and Fast SVM Regression using Modern Hardware. World Wide Web Journal (WWWJ), 21(2), pages 261-287, 2018.
  • Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen and Rui Zhang. Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding. The 31st AAAI Conference on Artificial Intelligence (AAAI), pages 2768-2774, 2017.
  • Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Jianzhong Qi and Kerry Taylor. MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs. The IEEE International Conference on Data Mining (ICDM), pages 580-589, 2014.
  • Zeyi Wen, Rui Zhang and Kotagiri Ramamohanarao. Enabling Precision/Recall Preferences for Semi-supervised SVM Training. The 23rd ACM Conference on Information and Knowledge Management (CIKM), pages 421-430, 2014.

  • Teaching

  • Tutor for Knowledge Technologies (COMP30018/COMP90049), Semester 1, 2016
  • Lab Demonstrator for Programming and Software Engineering (COMP90041), Semester 1, 2015
  • Tutor for Internet Technologies (COMP90007), Semester 1, 2014
  • Lab Demonstrator for Programming and Software Engineering (COMP90041), Semester 1 and 2, 2013

  • Honours and Awards

  • Google PhD Travel Scholarship, ICDM Student Travel Award, and Melbourne Abroad Travelling Scholarship, 2014.
  • Excellence in Tutoring Award at School of Computing and Information Systems, 2013.
  • The Commonwealth Scientific and Industrial Research Organisation (CSIRO) Flagship Postgraduate Scholarship, 2011-2014.


  • Last updated on Mar 8 2019