Spatiotemporal & Multimodal Learning
Siru Zhong 钟嗣儒
Ph.D. Candidate HKUST (GZ) Visiting @ Tsinghua · HPGC Group
Hi there, I'm a Ph.D. Candidate at The Hong Kong University of Science and Technology, Guangzhou, advised by Prof. Yuxuan Liang. I am currently visiting Tsinghua University and the National Supercomputing Center in Shenzhen, hosted by Prof. Haohuan Fu. I am also fortunate to receive guidance from Prof. James T. Kwok at HKUST. My research focuses on Spatiotemporal and Multimodal Learning, exploring how intelligent models learn transferable representations, adapt to uncertain and changing environments, and retain useful information over time.
I am honored to be a consecutive recipient of the HKUST (GZ) DSA Excellent Research Award, a Tutorial Speaker for MM4ST @ MM 2025 & ICME 2026 and MM4TS @ AAAI 2026, and a reviewer/PC member for venues including NeurIPS, ICLR, KDD, ACM MM, AAAI, PAKDD, IEEE TPAMI, FARS, MILETS, IJITDM, and Neurocomputing. Beyond academia, I have worked on temporal data infrastructure at Tencent, multimodal perception at XPENG, foundation models at Huawei, and video memory at Beta Infinity.
Action required
Problem: The current root path of this site is "baseurl ("_config.yml.
Solution: Please set the
baseurl in _config.yml to "Representation & Generalization
Learning transferable structures and representations across dynamic data and domains.
Learning to Factorize Spatio-Temporal Foundation Models
Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting
Robust Learning & Adaptation
Robust learning and efficient adaptation under uncertainty and distribution shifts.
Towards Robust Time Series Learning via Capacity-Centric Modulation
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
Memory & Dynamic Evidence
Efficient memory and evidence-based reasoning in evolving environments.
PREM: Prefix-Steered Recurrent Memory for Long-Video Understanding
STORM-Bench: Evaluating Online Video QA under Evolving and Incomplete Evidence
Ground, Cover, and Refine: Evidence-Centric Frame Selection for Long-Video Question Answering
News
2026
One paper on Multimodal Spatio-Temporal forecasting was accepted to ACM MM 2026.
Jul 10
I passed my Ph.D. PQE and officially became a Ph.D. Candidate at HKUST (GZ).
May 21
One paper about time series memory was accepted by KDD 2026 research track.
May 16
One paper on sample-adaptive dropout for robust time series forecasting was accepted to ICML 2026.
May 01
I am glad to become a visiting student at Tsinghua University and National Supercomputing Center.
Mar 04
2025
One tutorial on Multimodal Learning for Spatio-Temporal Data Mining Era of Foundation Models was accepted to ICME 2026.
Dec 24
One paper on vision for time series forecasting was accepted to AAAI 2026.
Nov 08
One paper on Spatio-Temporal Foundation Model was accepted to NeurIPS 2025 (spotlight).
Sep 18
One paper on Traffic Flow Forecasting was accepted to TITS 2025.
Aug 20
One paper on Multimodal Building Electricity Loads Forecasting was accepted to MM 2025.
Jul 05
One paper on Urban Heat Island Effect Forecasting was accepted to KDD 2025.
May 15
One paper on Multimodal Time Series Forecasting was accepted to ICML 2025.
May 01
One tutorial on Multimodal Learning for Spatio-Temporal Data Mining was accepted to MM 2025.
Feb 28
I joined Huawei as a Research Intern working on spatio-temporal foundation models.
Feb 06
I started my PhD studies at the Hong Kong University of Science and Technology (Guangzhou).
Feb 05
I received the Runner-Up Prize in the 2024 HKUST (GZ) DSA Excellent Research Award.
Jan 27
2024
Two papers on Urban Indicator Prediction and Air Quality Inference were accepted to AAAI 2025.
Dec 10
I successfully defended my MPhil thesis in Data Science and Analytics at HKUST (GZ).
Nov 25
One paper on Urban Multimodal Image-Text Retrieval was accepted to MM 2024.
Jul 18
Two papers on Spatio-Temporal Prediction and Neural Networks were accepted to IJCAI 2024.
May 14
I joined XPeng Motors as a Research Intern working on spatio-temporal perception for autonomous driving.
May 14
One paper on LLM-Enhanced Urban Region Profiling was accepted to WWW 2024.
Jan 23
2023
I started my MPhil studies at the Hong Kong University of Science and Technology (Guangzhou).
Aug 24
2022
I officially joined Tencent as a Software Engineer!
Jul 04
I graduated from Hefei University of Technology with Outstanding Thesis Award.
Jun 05
2021
I completed my three-month internship at Tencent and received a SP return offer.
Sep 14
Education
-
2025.02 - Present, PhD Student, Data Science and Analytics, The Hong Kong University of Science and Technology (Guangzhou)
-
2026.02 - Present, Visiting PhD Student, HPGC Research Group, Tsinghua University
-
2023.08 - 2025.01, Red Bird MPhil, Data Science and Analytics, The Hong Kong University of Science and Technology (Guangzhou)
-
2018.09 - 2022.06, BE, School of Artificial Intelligence, Hefei University of Technology
Industry Experience
-
Beta Infinity · Foundation Model Lab
Research Intern · Video Understanding & Memory
2026.06 - Present -
NSCS · HPC Department
Visiting Researcher · Temporal Sequence Modeling
2026.02 - Present -
Huawei · 2012 Laboratories
Research Intern · Temporal Foundation Model
2025.02 - 2025.12 -
XPENG · Autonomous Driving Center
Research Intern · Video Understanding
2024.05 - 2024.11 -
Tencent · PCG Tech Center
Software Engineer · Temporal Data Infrastructure
2022.06 - 2023.05 -
Tencent · PCG Tech Center
Software Intern · Temporal Workflow Engine
2021.06 - 2021.09
Service
-
Reviewer: NeurIPS 2026; FMTS 2026 @ NeurIPS 2026; ICLR 2025, 2026, 2027; KDD 2026, 2027; AAAI 2027; ACML 2026; MM 2025; FARS (Fully Automated Research System); IEEE TPAMI; Neurocomputing; IJITDM
-
PC Member: WSDM 2027; ACM MM 2026; AAAI 2026, 2027; PAKDD 2026; MILETS 2026 @ KDD 2026
-
Tutorial Speaker: MM4ST @ MM 2025, MM4ST @ ICME 2026, MM4TS @ AAAI 2026
-
Web Chair: WebST 2026, WebST 2025, UrbComp 2025
Teaching All teaching
- DSAA60000 Table Representation LearningSpring 2026
- PLED5001 Communicating Research in EnglishSpring 2025
- PDEV6800 Introduction to Teaching and Learning in Higher EducationFall 2024
Awards
- Junior Student Track Award, DSA Excellent Research Award, HKUST (GZ)2026
- Runner-Up Prize for DSA Excellent Research Award, HKUST (GZ)2025
- Best Project Award (1st/15) in Data Science Computing, HKUST (GZ)2023
- Outstanding Student (Top 10%) in Red Bird Summer Camp, HKUST (GZ)2023
- iCode Certification of R&D Engineering Competency Evaluation, Tencent2022
- Silver Award (2nd/12) in Code World Program, Tencent2022
- Outstanding Student Award (8th/100) in New Employee Training, Tencent2022
- Outstanding Graduation Thesis Award (Top 2%), HFUT2022
- First Prize (Top 10) in CSDN Technology Blogger Competition2020