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 | 548 | 2023 |
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 | 24 | 2020 |
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 | 18 | 2022 |
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 | 16 | 2012 |
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 | 8 | 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 | 6 | 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 | 5 | 2022 |
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 | 4 | 2023 |
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 | 2 | 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 | | 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 |
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 | | |