B. Wu MSc (Boqian)

Guest PhD Candidate

About Me

Boqian is a first-year Ph.D. student at the University of Twente in the Data Management & Biometrics (DMB) group. During her Ph.D., she is focusing on sparse neural networks, specifically the theoretical aspects of such networks. Her goal is to uncover the mechanisms that underlie the practical effectiveness of sparse neural networks.


Engineering & Materials Science
Time Series


Liu, S., Chen, T., Chen, X., Chen, X., Xiao, Q. , Wu, B., Pechenizkiy, M. , Mocanu, D. C., & Wang, Z. (2023). More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity. In The Eleventh International Conference on Learning Representations (ICLR 2023) OpenReview. https://arxiv.org/abs/2207.03620
Xiao, Q. , Wu, B., Zhang, Y., Liu, S., Pechenizkiy, M. , Mocanu, E. , & Mocanu, D. C. (2022). Dynamic Sparse Network for Time Series Classification: Learning What to “See”. In 36th Conference on Neural Information Processing Systems (NeurIPS 2022) OpenReview. https://openreview.net/forum?id=ZxOO5jfqSYw
Other Contributions


UT Research Information System

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Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands