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.
Expertise
Engineering & Materials Science
# Costs
# Time Series
# Tuning
Organisations
Publications
Recent
Xiao, Q.
, Wu, B., Yin, L.
, van Keulen, M., & Pechenizkiy, M. (2023).
Can Less Yield More? Insights into Truly Sparse Training. Poster session presented at ICLR 2023 Workshop on Sparsity in Neural Networks, Kigali, Rwanda.
https://drive.google.com/file/d/1kbWZ9ejU9XvtOMRtAcVYmcoRCDIWj3zy/view
Xiao, Q.
, Wu, B., Zhang, Y., Liu, S., Pechenizkiy, M.
, Mocanu, E.
, & Mocanu, D. C. (2023).
Dynamic Sparse Network for Time Series Classification: Learning What to “See”. Poster session presented at ICLR 2023 Workshop on Sparsity in Neural Networks, Kigali, Rwanda.
https://drive.google.com/file/d/10pxPf2aWTdMumUba_8-7v_jEZ3-K_uV3/view
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”. Paper presented at 36th Annual Conference on Neural Information Processing Systems, NeurIPS 2022, New Orleans, Louisiana, United States.
https://openreview.net/forum?id=ZxOO5jfqSYw
Other Contributions
UT Research Information System
Google Scholar Link
Contact Details
Visiting Address
University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands
Mailing Address
University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands