Shuhan ZHONG (钟书涵)
Assistant Professor, Beijing Normal-Hong Kong Baptist University (BNBU)
I obtained my PhD 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. I hold two Master’s degrees: a Master of Science degree (in Information Technology) from HKUST, and a Master of Engineering degree (by research, in Geodesy and Surveying Engineering) from Wuhan University (WHU) under the supervision of Prof. Caijun Xu. I received my Bachelor’s degree (in Geodesy and Geomatics Engineering) from WHU.
My research focus on the analytics and modeling of sequential and temporal data with deep learning, for the purpose of both scientific research (e.g. earth science and medicine) and real-world applications (e.g. healthcare and transportation).
Openings for MPhil and Research Assistant
I am recruiting MPhil students and Research Assistants. Highly motivated candidates with strong backgrounds in ML, AI, data mining, and interests in (spatio-)temporal/sequential/graph modeling are encouraged to contact me. Interdisciplinary research experience and solid domain knowledge—especially in areas such as healthcare, transportation, or earth science—are particularly welcome. Please include your CV and a brief statement of research interests in your email.
selected publications
- NeurIPSTAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link PredictionIn The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
- KDDMTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series ClassificationIn Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, Toronto ON, Canada, 2025
- VLDBA Multi-Scale Decomposition MLP-Mixer for Time Series AnalysisIn Proceedings of the VLDB Endowment, Mar 2024
- IMWUTDYPA: A Machine Learning Dyslexia Prescreening Mobile Application for Chinese ChildrenProc. ACM Interact. Mob. Wearable Ubiquitous Technol., Sep 2023
- TKDEA Lightweight and Accurate Spatial-Temporal Transformer for Traffic ForecastingIEEE Transactions on Knowledge and Data Engineering, Sep 2023
- MMA Tree-Based Structure-Aware Transformer Decoder for Image-To-Markup GenerationIn Proceedings of the 30th ACM International Conference on Multimedia, Lisboa, Portugal, Sep 2022
- ICDEA Data-Driven Spatial-Temporal Graph Neural Network for Docked Bike PredictionIn 2022 IEEE 38th International Conference on Data Engineering (ICDE), Sep 2022
- IOTJvContact: Private WiFi-Based IoT Contact Tracing With Virus LifespanIEEE Internet of Things Journal, Sep 2022
teaching
I served as teaching assistant for the following courses at HKUST.
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COMP 2012Object-Oriented Programming and Data Structures, Fall 2023 -
COMP 2012HHonors Object-Oriented Programming and Data Structures, Fall 2022 -
COMP 2011Programming with C++, Spring/Fall 2021
academic services
I served as reviewer for the following conferences and journals.
- Conferences: KDD, ICDE, ICLR, ICCV, CVPR, MM, INFOCOM
- Journals: IMWUT, TIST
honors and awards
- HKUST PhD Fellowship Award, 2020-2024, HKUST
- MSc(IT) Top Student Award, 2020, HKUST
- Third Prize Postgraduate Academic Scholarship, 2015-2018, WHU
- Third Prize Scholarship of the 2013-14 Academic Year, 2014, WHU
- Outstanding Student of the 2012-13 Academic Year, 2013, WHU
- Second Prize Scholarship of the 2012-13 Academic Year, 2013, WHU