Run, don't walk: chasing higher FLOPS for faster neural networks J Chen, S Kao, H He, W Zhuo, S Wen, CH Lee, SHG Chan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
961 2023 Tvconv: Efficient translation variant convolution for layout-aware visual processing J Chen, T He, W Zhuo, L Ma, S Ha, SHG Chan
proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
32 2022 IoT geofencing for COVID-19 home quarantine enforcement J Tan, E Sumpena, W Zhuo, Z Zhao, M Liu, SHG Chan
IEEE Internet of Things Magazine 3 (3), 24-29, 2020
27 2020 Error modeling and estimation fusion for indoor localization W Zhuo, B Zhang, SHG Chan, EY Chang
2012 IEEE International Conference on Multimedia and Expo, 741-746, 2012
17 2012 A multi-scale decomposition MLP-mixer for time series analysis S Zhong, S Song, G Li, W Zhuo, Y Liu, SHG Chan
International Conference on Very Large Databases (VLDB), 2024, 2023
13 2023 Tackling multipath and biased training data for IMU-assisted BLE proximity detection T He, J Tan, W Zhuo, M Printz, SHG Chan
IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 1259-1268, 2022
11 2022 Semi-supervised learning with network embedding on ambient RF signals for geofencing services W Zhuo, KH Chiu, J Chen, J Tan, E Sumpena, SHG Chan, S Ha, CH Lee
The 39th IEEE International Conference on Data Engineering (ICDE 2023), 2022
7 2022 GRAFICS: Graph embedding-based floor identification using crowdsourced RF signals W Zhuo, Z Zhao, KH Chiu, S Li, S Ha, CH Lee, SHG Chan
2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022
6 2022 FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals W Zhuo, KH Chiu, J Chen, Z Zhao, SHG Chan, S Ha, CH Lee
2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS), 2023
5 2023 Online Path Description Learning based on IMU Signals from IoT Devices W Zhuo, S Li, T He, M Liu, SHG Chan, S Ha, CH Lee
IEEE Transactions on Mobile Computing, 2024
2 2024 M Z Yu, Z Wu, S Zhong, W Su, SHG Chan, CH Lee, W Zhuo
arXiv preprint arXiv:2410.08794, 2024
2024 CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks X Huang, W Zhuo, MP Vuong, S Li, J Kim, B Rees, CH Lee
arXiv preprint arXiv:2404.02300, 2024
2024 Area Classification for RF Signals: A Graph Neural Network Approach W Zhuo
PQDT-Global, 2023
2023 Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks–Supplementary Material– J Chen, S Kao, H He, W Zhuo, S Wen, CH Lee, SHG Chan
