Scholar
Siru Zhong
Google Scholar ID: 3KMb5mUAAAAJ
PhD student, Hong Kong University of Science and Technology (Guangzhou)
Spatio-Temporal Data Mining
Foundation Models
Time Series
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Citations & Impact
All-time
Citations
223
H-index
7
i10-index
5
Publications
12
Co-authors
12
list available
Contact
Email
siruzhong@outlook.com
CV
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GitHub
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Publications
21 items
GeoPrior-Mamba: Structured Process Priors with Mamba for Fine-Resolution XCO2 Reconstruction
2026
Cited
0
Towards Robust Time Series Learning via Capacity-Centric Modulation
2026
Cited
0
DrafTS: Time-Aware Decomposition with Residual Correction for Time Series Modeling
2026
Cited
0
STORM-Bench: Evaluating Online Video QA under Evolving and Incomplete Evidence
2026
Cited
0
CompKV: Compensation-Aware KV Selection for Long-Context LLM Inference
2026
Cited
0
PREM: Prefix-Steered Recurrent Memory for Long-Video Understanding
2026
Cited
0
EarthVerse: Benchmarking Scientific Agents Across Dynamic Earth Systems and Natural Hazards
2026
Cited
0
LiveHouse-TS: An Open-world Living Benchmark for Time Series Foundation Models
2026
Cited
0
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Resume
Academic Achievements
Paper on Spatio-Temporal Foundation Model accepted to NeurIPS 2025 (Spotlight)
Paper on Traffic Flow Forecasting accepted to IEEE TITS 2025
Paper on Multimodal Building Electricity Loads Forecasting accepted to ACM MM 2025
Paper on Urban Heat Island Effect Forecasting accepted to KDD 2025
Paper on Multimodal Time Series Forecasting accepted to ICML 2025
Tutorial on Multimodal Learning for Spatio-Temporal Data Mining accepted to ACM MM 2025 Tutorials
Two papers on Urban Indicator Prediction and Air Quality Inference accepted to AAAI 2025
Paper on Urban Multimodal Image-Text Retrieval accepted to ACM MM 2024
Two papers on Spatio-Temporal Prediction and Neural Networks accepted to IJCAI
Runner-Up Prize, 2024 HKUST(GZ) DSA Excellent Research Award
Program Committee Member for AAAI 2026 (Special Track on AI for Social Impact and main track)
Reviewer for ICLR 2025, ICLR 2026, KDD 2026 (Datasets and Benchmarks Track), and ACM MM 2025 (Dataset Track and general reviewing)
Co-authors
10 total
Yuxuan Liang
Assistant Professor, Hong Kong University of Science and Technology (Guangzhou)
Qingsong Wen (文青松)
Head of AI @ Squirrel Ai Learning, PhD Supervisor @ University of Oxford
Roger Zimmermann
Professor of Computer Science, National University of Singapore
Huan Li
ZJU100 Young Professor
Ming Jin
Assistant Professor, School of ICT, Griffith University
Yangqiu Song
HKUST
Ying ZHANG
Senior Research Fellow @ National University of Singapore
Haomin Wen
Carnegie Mellon University