Jiawei Yang
PhD
I am currently working on digital health research as a Marie Skłodowska-Curie Fellow. I received my bachelor's degree from Beihang University and master's and doctoral degrees from University of Eastern Finland. I have worked in industries such as Alibaba Group. I serve as a reviewer for conferences such as NeurIPS, ICLR, ICML, and KDD, and journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Multimedia, IEEE Transactions on Industrial Electronics, IEEE Transactions on Fuzzy Systems, IEEE Signal Processing Letters, ACM Transactions on Knowledge Discovery from Data, Neural Networks, Pattern Recognition, Information Fusion, Information Sciences, Knowledge-Based System, Expert Systems with Applications, and Engineering Applications of Artificial Intelligence.
- MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction (2025)
- Pattern Recognition
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Digit Forest for Outlier Detection (2024) 2024 3rd International Conference on Creative Communication and Innovative Technology (ICCIT) Yang, Jiawei; Rahardja, Susanto
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Ensemble of Deep Variational Mixture Models for Unsupervised Clustering (2024)
- IEEE International Conference on Image Processing
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - FlexAE: A Self-Conditioned Detector To Prevent Model Overfitting For Unsupervised Video Anomaly Detection (2024)
- IEEE International Conference on Image Processing
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection (2024)
- IEEE Signal Processing Letters
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Regional Ensemble for Improving Unsupervised Outlier Detectors (2024)
- IEEE Transactions on Artificial Intelligence
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Weakly-Supervised Anomaly Detection for Multimodal Data Distributions (2024)
- IEEE International Conference on Signal Processing, Communication and Computing
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
