Steve Weipeng Zhuo (卓伟鹏)

I am an assistant professor in the Department of Computer Science at Beijing Normal-Hong Kong Baptist University. Previously, I obtained my Ph.D. degree in Computer Science and Engineering from The Hong Kong University of Science and Technology (HKUST), under the supervision of Prof. Shueng-Han Gary Chan. Prior to that, I was an early founder in Pipe of Insight, a startup focused on online education using mobile devices, which raised angel round funding and series A financing. I obtained my BSc degree (double majored in Computer Science and Applied Math) and Master of Philosophy (MPhil) degree from HKUST. During my MPhil study, I was a visiting scholar in the Department of Electrical Engineering at Princeton University.

My research focuses on the design and application of graph neural networks (GNNs) on the internet of things (IoT) devices, including

  • Radio frequency signal analytics in smart city applications.
  • Graph neural networks and distributed training.
  • Human activity recognition using edge devices.

Email  /  Google Scholar  /  Github

Publications

* indicates corresponding author
• MTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series Classification
Shuhan Zhong, Weipeng Zhuo*, Sizhe Song, Guanyao Li, Zhongyi Yu and S.-H. Gary Chan
ACM KDD, 2025 (CCF-A)
• Graph-based Fingerprint Update Using Unlabelled WiFi Signals
Ka Ho Chiu, Handi Yin, Weipeng Zhuo*, Chul-Ho Lee, S.-H. Gary Chan
ACM IMWUT, 2025 (CCF-A)
Paper
• 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
• 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
• 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 TMC, 2024 (CCF-A)
Paper
• A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
Shuhan Zhong, Sizhe Song, Weipeng Zhuo, Guanyao Li, Yang Liu, S.-H. Gary Chan
VLDB, 2024 (CCF-A)
paper / code
• 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 ICDCS, 2023 (CCF-B)
paper / code
• 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
CVPR, 2023 (CCF-A) The top-100 most cited AI papers in 2023 (ranked 47).
paper / code
• 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 ICDE, 2023 (CCF-A)
paper / code
• TVConv: Efficient Translation Variant Convolution for Layout-Aware Visual Processing
Jierun Chen, Tianlang He, Weipeng Zhuo, Li Ma, Sangtae Ha, S.-H. Gary Chan
CVPR, 2022 (CCF-A)
paper / video / code
• 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 ICDCS, 2022 (CCF-B)
paper / code
• 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 INFOCOM, 2022 (CCF-A)
paper
• 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
• Error Modeling and Estimation Fusion for Indoor Localization
Weipeng Zhuo, Bo Zhang, S-H Gary Chan, Edward Y Chang
IEEE ICME, 2012 (CCF-B)
paper
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

Teaching

  • COMP4213: Wireless Communication and Mobile Computing
  • COMP3213: Internet of Things
  • DS4023: Machine Learning

Academic Services

Reviewer: NeurIPS 2024 - 2025, ICML 2025, ICLR 2025, 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