* indicates corresponding author
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Graph-based Fingerprint Update Using Unlabelled WiFi Signals
Ka Ho Chiu, Handi Yin, Weipeng Zhuo*, Chul-Ho Lee, S.-H. Gary Chan
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT), 2025
Paper
We propose GUFU, a novel graph-based method for periodic fingerprint update using unlabelled newly collected WiFi signals. GUFU effectively deals with new APs in the environment through a novel link prediction algorithm.
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M3-Impute: Mask-guided Representation Learning for Missing Value Imputation
Zhongyi Yu, Zhenghao Wu, Shuhan Zhong, Weifeng Su, S.-H. Gary Chan, Chul-Ho Lee, Weipeng Zhuo*
arXiv Preprint
paper /
code
We propose a novel mask-guided method for missing value imputation, effetively validated on 25 datasets. By considering feature-wise and
sample-wise correlations with novel modules, M3-Impute achieves best performance compared with SOTA methods.
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CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks
Xin Huang, Weipeng Zhuo, Minh Phu Vuong, Shiju Li, Jongryool Kim, Bradley Rees, Chul-Ho Lee
arXiv Preprint
paper
We design a distributed GNN training framework that does not require storing the entire graph in memory for graph partitioning
while enabling training GNN models on large graphs under limited resources.
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Online Path Description Learning based on IMU Signals from IoT Devices
Weipeng Zhuo, Shiju Li, Tianlang He, Mengyun Liu, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee
IEEE Transactions on Mobile Computing (TMC), 2024.
Paper
We propose a context-free path recovery model and a novel online turn detection algorithm to generate
path description from IMU signals.
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A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
Shuhan Zhong, Sizhe Song, Weipeng Zhuo, Guanyao Li, Yang Liu, S.-H. Gary Chan
International Conference on Very Large Databases (VLDB), 2024
paper /
code
We propose an MLP-mixer with novel patching technique and residual loss to process multivariate time series data
and make forecasting accurately.
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FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals
Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Ziqi Zhao, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee
IEEE International Conference on Distributed Computing Systems (ICDCS), 2023
paper /
code
We design a floor identification system for crowdsourced RF signals in a building using only one labeled data sample
from the bottom floor.
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Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks
Jierun Chen, Shiu-hong Kao, Hao He, Weipeng Zhuo, Song Wen, Chul-Ho Lee, S.-H. Gary Chan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
paper /
code
We propose a simple yet fast and effective partial convolution (PConv),
as well as a latency-efficient family of architectures called FasterNet.
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Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services
Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Jiajie Tan, Edmund Sumpena, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee,
IEEE International Conference on Data Engineering (ICDE), 2023
paper /
code
We propose an efficient bipartite graph sample and aggregate mechanism (BiSAGE) to process ambient RF signals
for geofencing applications such as elderly care and pandemic control, etc.
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TVConv: Efficient Translation Variant Convolution for Layout-Aware Visual Processing
Jierun Chen, Tianlang He, Weipeng Zhuo, Li Ma, Sangtae Ha, S.-H. Gary Chan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
paper /
video /
code
TVConv works more computation-efficient than regular convolution when dealing with layout-specific
tasks, e.g., face recognition.
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GRAFICS: Graph Embedding-based Floor Identification Using Crowdsourced RF Signals
Weipeng Zhuo, Ziqi Zhao, Ka Ho Chiu, Shiju Li, Sangtae Ha, Chul-Ho Lee, S.-H. Gary Chan
IEEE International Conference on Distributed Computing Systems (ICDCS), 2022
paper /
code
We model the RF signals crowdsourced within a building as a bipartite graph and process the graph
with an extended version of LINE (E-LINE) for floor identification tasks.
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Tackling Multipath and Biased Training Data for IMU-assisted BLE Proximity Detection
Tianlang He, Jiajie Tan, Weipeng Zhuo, Maximilian Printz, S-H Gary Chan
IEEE International Conference on Computer Communications (INFOCOM), 2022
paper
We propose PRID and PRID-lite to enable proximity detection using Bluetooth low energy (BLE) signals on
commercial hardware and edge devices.
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IoT Geofencing for COVID-19 Home Quarantine Enforcement
Jiajie Tan, Edmund Sumpena, Weipeng Zhuo, Ziqi Zhao, Mengyun Liu, S-H Gary Chan
IEEE Internet of Things Magazine, 2020
paper
SignatureHome is the prototype system for home quarantine of COVID-19 in Hong Kong. It mainly relies on
the associated IP address and ambient WiFi signals.
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Error Modeling and Estimation Fusion for Indoor Localization
Weipeng Zhuo, Bo Zhang, S-H Gary Chan, Edward Y Chang
IEEE International Conference on Multimedia and Expo (ICME), 2012
paper
We analyse location errors for different localization systems theoretically and propose an optimized
fusion scheme for different systems.
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Selected Awards
- Hong Kong Ph.D. Fellowship Scheme, 2017 - 2021
- Postgraduate Scholarship, HKUST, 2011-2013
- Research Travel Grant, HKUST, 2012
- Hong Kong ICT Bronze Award, 2012
- First Class Honors, HKUST, 2011
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Teaching
- COMP4213: Wireless Communication and Mobile Computing
- COMP3213: Internet of Things
- DS4023: Machine Learning
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Academic Services
Reviewer: ICLR 2025, NeurIPS 2024, INFOCOM 2018 - 2024, MASS 2024, MobiHoc 2022 - 2024, KDD 2023, ACM MM 2023, SDM 2023 - 2024, MobiCom 2022, ICDM 2022 - 2023
TPC Member: IEEE MASS 2024
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