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π Hi, I'm Wenjie Du (ζζζ° in Chinese). My research majors in modeling time series with machine learning, especially partially-observed time series (POTS), namely, incomplete time series with missing values, A.K.A. irregularly-sampled time series. I strongly advocate open-source and reproducible research, and I always devote myself to building my work into valuable real-world applications. Unix philosophy "Do one thing and do it well" is also my life philosophy, and I always strive to walk my talk. My research goal is to model this non-trivial and kaleidoscopic world with machine learning to make it a better place for everyone. It's my honor if my work could help you in any way.
π€ POTS is ubiquitous in the real world and is vital to AI landing in the industry. However,
it still lacks attention from academia and is also in short of a dedicated toolkit even in a community as vast as Python.
Therefore, to facilitate our researchers and engineers' work related to POTS, I'm leading PyPOTS Research Team (pypots.com)
to build a comprehensive Python toolkit ecosystem for POTS modeling, including data preprocessing, neural net training, and benchmarking.
Starsπ on our repos are also very welcome of course if you like what we're trying to achieve with PyPOTS.
π¬ I'm open to questions related to my research and always try my best to help others. I love questioning myself and I never stop. If you have questions for discussion or have interests in collaboration, please feel free to drop me an email or ping me on LinkedIn/WeChat/Slack (contact info is at the top) π You can follow me on Google Scholar and GitHub to get notified of our latest publications and open-source projects. Note that I'm very glad to help review papers related to my research, but ONLY for open-source ones with readable code.
I served as a reviewer for π
- TKDD (ACM Transactions on Knowledge Discovery from Data)
- Journal NN (Neural Network)
- Journal EAAI (Engineering Applications of Artificial Intelligence)
- Journal IJIS (International Journal of Intelligent Systems)
- Journal SEGAN (Sustainable Energy, Grids and Networks)
- CSAE 2022 (International Conference on Computer Science and Application Engineering)
β€οΈ If you enjoy what I do, you can fund me and become a sponsor. And I assure you that every penny from sponsorships will be used to support impactful open-science research.
π Thank you for reading my profile. Feel free to contact me if you'd like to trigger discussions.