Welcome to Zeyi Wen's Homepage

Dr. Zeyi Wen is a Lecturer in Computer Science at The University of Western Australia (UWA). Before working at UWA, he was a research fellow at National University of Singapore from 2017 to 2019 and The University of Melbourne from 2015 to 2016 after his PhD completion at The University of Melbourne in 2015.
Dr. Wen is a winner of 2019 IEEE TPDS Best Paper Award (1 out of ~980 submissions in 2019). Here are the final version of the paper and the certificate. His research work (e.g. JMLR'20 and JMLR'18) has also led to open-source Machine Learning systems including ThunderGBM Star and ThunderSVM Star.

Machine Learning
- systems for machine learning, automatic machine learning, learning with resource constraints
High-Performance Computing
- modern hardware (e.g., GPUs and multi-core CPUs) acceleration, distributed computing in heterogeneous systems
Data Mining
- data mining platforms, text mining, traffic data mining

PhD Student at UWA:
- Peiyu Yang (since Feb 2021)
I am almost always looking for self-motivated PhD students. Most of my research students are proficient in programming. If you are interested in my research areas and have good programming skills, please feel free to send me your resume. Here is an awesome video of UWA located in the beautiful city of Perth. Global ranking of UWA is ~100 by QS, ARWU and TIMES.

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021
AAAI Conference on Artificial Intelligence (AAAI), 2021
IEEE International Conference on Distributed Computing Systems (ICDCS), 2021
ACM International Conference on Web Search and Data Mining (WSDM), 2021
IEEE International Conference on Cluster Computing (CLUSTER), 2021
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
HiPC'20, ICDCS'20, ISC'20 (HPC), SBAC-PAD'20, SIGIR'20, ADC'20, CIKM'19, CSS'17