Machine Learning for Dynamic Worlds
Siru Zhong
I am a Ph.D. candidate at The Hong Kong University of Science and Technology, Guangzhou, advised by Prof. Yuxuan Liang. I am visiting Tsinghua University and the National Supercomputing Center in Shenzhen, hosted by Prof. Haohuan Fu. I also receive guidance from Prof. James T. Kwok at HKUST.
I study how models learn from evolving temporal and multimodal observations, with a current focus on maintaining and revising world states for reliable prediction and decision-making. Beyond academia, I have worked on temporal data infrastructure at Tencent, multimodal perception at XPENG, spatio-temporal foundation models at Huawei, and long-term memory at Beta Infinity.
Publications
* equal contributionPredictive Representation Learning
Context-Adaptive Learning
Memory and Continual Understanding
Other Research & Collaborations
Media coverage
-
Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
-
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
-
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
-
Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models
-
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
-
Learning to Factorize Spatio-Temporal Foundation Models
-
Towards Multi-Scenario Forecasting of Building Electricity Loads with Multimodal Data
-
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
-
UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Model for Urban Indicator Prediction
-
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
-
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
News
-
One paper on Multimodal Spatio-Temporal forecasting was accepted to ACM MM 2026.
-
I passed my Ph.D. PQE and officially became a Ph.D. Candidate at HKUST (GZ).
-
One paper about time series memory was accepted by KDD 2026 research track.
-
One paper on sample-adaptive dropout for robust time series forecasting was accepted to ICML 2026.
-
I am glad to become a visiting student at Tsinghua University and National Supercomputing Center.
Earlier news
-
One tutorial on Multimodal Learning for Spatio-Temporal Data Mining Era of Foundation Models was accepted to ICME 2026.
-
One paper on vision for time series forecasting was accepted to AAAI 2026.
-
One paper on Spatio-Temporal Foundation Model was accepted to NeurIPS 2025 (spotlight).
-
One paper on Traffic Flow Forecasting was accepted to TITS 2025.
-
One paper on Multimodal Building Electricity Loads Forecasting was accepted to MM 2025.
-
One paper on Urban Heat Island Effect Forecasting was accepted to KDD 2025.
-
One paper on Multimodal Time Series Forecasting was accepted to ICML 2025.
-
One tutorial on Multimodal Learning for Spatio-Temporal Data Mining was accepted to MM 2025.
-
I joined Huawei as a Research Intern working on spatio-temporal foundation models.
-
I started my PhD studies at the Hong Kong University of Science and Technology (Guangzhou).
-
I received the Runner-Up Prize in the 2024 HKUST (GZ) DSA Excellent Research Award.
-
Two papers on Urban Indicator Prediction and Air Quality Inference were accepted to AAAI 2025.
-
I successfully defended my MPhil thesis in Data Science and Analytics at HKUST (GZ).
-
One paper on Urban Multimodal Image-Text Retrieval was accepted to MM 2024.
-
Two papers on Spatio-Temporal Prediction and Neural Networks were accepted to IJCAI 2024.
-
I joined XPeng Motors as a Research Intern working on spatio-temporal perception for autonomous driving.
-
One paper on LLM-Enhanced Urban Region Profiling was accepted to WWW 2024.
-
I started my MPhil studies at the Hong Kong University of Science and Technology (Guangzhou).
-
I officially joined Tencent as a Software Engineer!
-
I graduated from Hefei University of Technology with Outstanding Thesis Award.
-
I completed my three-month internship at Tencent and received a SP return offer.
Education
-
Feb 2025 – Present
Ph.D. Student, Data Science and Analytics, HKUST (Guangzhou)
-
Feb 2026 – Present
Visiting Ph.D. Student, HPGC Research Group, Tsinghua University
-
Aug 2023 – Jan 2025
Red Bird M.Phil., Data Science and Analytics, HKUST (Guangzhou)
-
Sep 2018 – Jun 2022
B.E., School of Artificial Intelligence, Hefei University of Technology
Research & Industry Experience
-
Jun 2026 – Present
Research Intern, Beta Infinity, Foundation Model Lab · Long-term Memory
-
Feb 2026 – Jun 2026
Visiting Researcher, NSCS, HPC Department · Temporal Sequence Modeling
-
Feb 2025 – Dec 2025
Research Intern, Huawei, 2012 Laboratories · Spatio-Temporal Foundation Model
-
May 2024 – Nov 2024
Research Intern, XPENG, Autonomous Driving Center · Multimodal Perception
-
Jun 2022 – May 2023
Software Engineer, Tencent, PCG Tech Center · Temporal Data Infrastructure
-
Jun 2021 – Sep 2021
Software Intern, Tencent, PCG Tech Center · Temporal Workflow Engine
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
Awards
- 2026Junior Student Track Award, DSA Excellent Research Award, HKUST (GZ)
- 2025Runner-Up Prize for DSA Excellent Research Award, HKUST (GZ)
- 2023Best Project Award (1st/15) in Data Science Computing, HKUST (GZ)
- 2023Outstanding Student (Top 10%) in Red Bird Summer Camp, HKUST (GZ)
- 2022iCode Certification of R&D Engineering Competency Evaluation, Tencent
- 2022Silver Award (2nd/12) in Code World Program, Tencent
- 2022Outstanding Student Award (8th/100) in New Employee Training, Tencent
- 2022Outstanding Graduation Thesis Award (Top 2%), HFUT
- 2020First Prize (Top 10) in CSDN Technology Blogger Competition
Talks
-
6th Young Scholars Forum, School of Computer Science and Engineering, Central South University, Changsha
-
ICME 2026 Tutorial, Bangkok
-
AI TIME × ICML 2026, Online
-
AAAI 2026 Tutorial, Singapore
-
Learning across Space and Time: Multimodal Integration, Foundation Models, and Dynamic NetworksTsinghua Shenzhen International Graduate School, Shenzhen
-
ACM MM 2025 Tutorial, Dublin
-
Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen
-
AI TIME × ICML 2025, Online