• 27 Citations
  • 2 h-Index
20152020
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Personal profile

Biography

I am a Lecturer of Computer Science at The University of Western Australia (UWA). Before working at UWA, I was a research fellow at National University of Singapore from 2017 to 2019 and The University of Melbourne from 2015 to 2016 after completion of my PhD degree at The University of Melbourne in 2015. My research work has led to open-source machine learning systems such as ThunderGBM and ThunderSVM.

Research interests

Machine Learning

  • systems for ML, automatic ML, learning with resource constraints

High-Performance Computing

  • modern hardware (e.g., GPUs and multi-core CPUs) acceleration, distributed computing in heterogeneous systems

More information is available here.

Teaching overview

  • CITS3401 - Data Warehousing, Lecturer and Unit Coordinator, 2020 Sem1
  • CITS5507 - HPC, Lecturer and Unit Coordinator, 2020 Sem2

Community engagement

Program Committee

  • ICDCS, 2020
  • ISC High Performance Conference, AI and ML track, 2020
  • Australasian Database Conference (ADC), 2020.
  • CIKM, 2019
  • International Symposium on Cyberspace Safety and Security (CSS), 2017

Education/Academic qualification

Computer Science, PhD, University of Melbourne

Keywords

  • Machine Learning Systems
  • Parallel computing
  • GPU Computing
  • Data mining and knowledge discovery

Fingerprint Dive into the research topics where Zeyi Wen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Decision trees Engineering & Materials Science
Support vector machines Engineering & Materials Science
Learning systems Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Graphics processing unit Engineering & Materials Science
Program processors Engineering & Materials Science
Classifiers Engineering & Materials Science
Glossaries Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2015 2020

  • 27 Citations
  • 2 h-Index
  • 8 Conference paper
  • 4 Article
  • 2 Conference presentation/ephemera
  • 1 Special issue

Entity Extraction with Knowledge from Web Scale Corpora

Wen, Z., Huang, Z. & Zhang, R., 2020, The 31st Australasian Database Conference (ADC).

Research output: Chapter in Book/Conference paperConference paper

Practical Federated Gradient Boosting Decision Trees

Li, Q., Wen, Z. & He, B., 2020, 34th AAAI Conference on Artificial Intelligence (AAAI-20).

Research output: Chapter in Book/Conference paperConference paper

Privacy-Preserving Gradient Boosting Decision Trees

Li, Q., Wu, Z., Wen, Z. & He, B., 2020, 34th AAAI Conference on Artificial Intelligence (AAAI-20).

Research output: Chapter in Book/Conference paperConference paper

2ED: An efficient entity extraction algorithm using two-level edit-distance

Wen, Z., Deng, D., Zhang, R. & Kotagiri, R., 1 Apr 2019, Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. Macao: IEEE, Institute of Electrical and Electronics Engineers, p. 998-1009 12 p. 8731344. (Proceedings - International Conference on Data Engineering; vol. 2019-April).

Research output: Chapter in Book/Conference paperConference paper

Glossaries

Adaptive Kernel Value Caching for SVM Training

Li, Q., Wen, Z. & He, B., 2019, In : IEEE Transactions on Neural Networks and Learning Systems.

Research output: Contribution to journalSpecial issue