Siru Zhong
Ph.D. Student @ HKUST (GZ), Visiting @ THU & NSCC, Ex- @ Huawei & XPENG & Tencent

I am a Ph.D. student in Data Science at CityMind Lab, The Hong Kong University of Science and Technology (Guangzhou), fortunate to be advised by Prof. Yuxuan Liang, Prof. Yue Yang, and Prof. Yangqiu Song. I also hold visiting affiliations with HPGC Research Group at Tsinghua University and the National Supercomputing Center, where I work with Prof. Haohuan Fu. 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 top venues including NeurIPS, ICLR, KDD, ACM MM, AAAI, PAKDD, IEEE TPAMI, and Neurocomputing. My research focuses on time series modeling, spatio-temporal data mining, and AI for Earth science—developing novel machine learning methods for understanding complex urban and environmental systems.

Beyond academia, I have built and deployed ML systems in industry. At Huawei (2025), my model was deployed at scale for industry customers under Dr. Hao Xu. At XPENG (2024), I contributed to the XNGP Brain autonomous driving system with Dr. Cheng Lu. Earlier, I built automated workflow engines at Tencent (2021–2023), advancing from intern to full-time software engineer. Feel free to reach out via email if you're interested in exploring potential collaborations!

Education
  • Visiting Ph.D. Student
    Visiting Ph.D. Student @ THU
    Institute of Data and Information
    Mar. 2026 - Present
  • Doctor of Philosophy
    Doctor of Philosophy @ HKUST (GZ)
    Data Science and Analytics
    Feb. 2025 - Jan. 2028
  • Master of Philosophy
    Master of Philosophy @ HKUST (GZ)
    Data Science and Analytics
    Aug. 2023 - Jan. 2025
  • Bachelor of Engineering
    Bachelor of Engineering @ HFUT
    School of Artificial Intelligence
    Sep. 2018 - Jun. 2022
Experience
  • Visiting Scholar
    Visiting Scholar @ National Supercomputing Center
    HPC Department
    Mar. 2026 - Present
  • Research Intern
    Research Intern @ Huawei 2012 Laboratories
    2012 Laboratories
    Feb. 2025 - Dec. 2025
  • Research Intern
    Research Intern @ XPENG Autonomous Driving Center
    Autonomous Driving Center
    May. 2024 - Aug. 2024
  • Software Engineer
    Software Engineer @ Tencent PCG Tech Center
    CloudDev Center
    Jun. 2022 - May. 2023
  • Software Intern
    Software Intern @ Tencent PCG Tech Center
    Workflow Engine Center
    Jun. 2021 - Sep. 2021
Service
  • Reviewer: NeurIPS 2026; ICLR 2025, 2026; KDD 2026; MM 2025; FARS (Fully Automated Research System); IEEE TPAMI; IEEE Neurocomputing; IJITDM
  • PC Member: ACM MM 2026; AAAI 2026; PAKDD 2026
  • Tutorial Speaker: MM4ST @ MM 2025, MM4ST @ ICME 2026, MM4TS @ AAAI 2026
  • Web Master: WebST 2025, UrbComp 2025
Teaching
  • DSAA60000 Table Representation Learning
    Spring 2026
  • PLED5001 Communicating Research in English
    Spring 2025
  • PDEV6800 Introduction to Teaching and Learning in Higher Education
    Fall 2024
Awards
  • Junior Student Track Awardees of 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, Tencent
    2022
  • Silver Award (2nd/12) in Code World Program, Tencent
    2022
  • Outstanding Student Award (8th/100) in New Employee Training, Tencent
    2022
  • Outstanding Graduation Thesis Award (Top 2%), HFUT
    2022
  • First Prize (Top 10) in CSDN Technology Blogger Competition
    2020
News
2026
I am honored to be invited as a reviewer of International Journal of Information Technology & Decision Making (IJITDM).
Apr 10
I was invited to be a reviewer of NeurIPS 2026.
Mar 25
I am honored to be invited as a reviewer of FARS (Fully Automated Research System).
Mar 21
I am glad to become a visiting student at Tsinghua University and National Supercomputing Center.
Mar 04
I was invited to serve as a reviwer for KDD 2026 (AI4Science Track).
Feb 28
I was invited to serve as a PC member for ACM MM 2026.
Feb 20
I was invited to serve as a PC member for PAKDD 2026.
Jan 15
I was invited to serve as a Reviwer for IEEE TPAMI.
Jan 15
2025
One tutorial on Multimodal Learning for Spatio-Temporal Data Mining Era of Foundation Models was accepted to ICME 2026.
Dec 24
I was invited to serve as a Reviwer for Neurocomputing.
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
I was invited to serve as a reviewer for ICLR 2026.
Sep 03
One paper on Traffic Flow Forecasting was accepted to TITS 2025.
Aug 20
I was invited to serve as a PC member for AAAI 2026 (Special Track on AI for Social Impact).
Aug 08
I was invited to serve as a PC member for AAAI 2026.
Jul 26
I was invited to serve as a reviewer for KDD 2026 Datasets and Benchmarks Track.
Jul 25
I was invited to serve as a reviewer for MM 2025 Dataset Track.
Jul 23
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
I was invited to serve as a reviewer for MM 2025.
Apr 26
One tutorial on Multimodal Learning for Spatio-Temporal Data Mining was accepted to MM 2025.
Feb 28
I started to cooperate with Huawei 2012 Labs, leading the project of Spatio-temporal knowledge fusion.
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
I was invited to serve as a reviewer for ICLR 2025.
Aug 23
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 as a Research Intern focusing on multimodal research in autonomous driving scenarios.
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
Publications (view all )
Learning to Factorize Spatio-Temporal Foundation Models
Learning to Factorize Spatio-Temporal Foundation Models

Siru Zhong, Junjie Qiu, Yangyu Wu, Xingchen Zou, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang

NeurIPS (Advances in Neural Information Processing Systems) 2025, Santiago, America Spotlight (688/21,575, 3.19%)

[Code] [Paper] [AI TIME 论道] [时空探索之旅]

Learning to Factorize Spatio-Temporal Foundation Models
Learning to Factorize Spatio-Temporal Foundation Models

Siru Zhong, Junjie Qiu, Yangyu Wu, Xingchen Zou, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang

NeurIPS (Advances in Neural Information Processing Systems) 2025, Santiago, America Spotlight (688/21,575, 3.19%)

[Code] [Paper] [AI TIME 论道] [时空探索之旅]

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Siru Zhong, Weilin Ruan, Min Jin, Huan Li, Qingsong Wen, Yuxuan Liang

ICML (International Conference on Machine Learning) 2025, Vancouver, Canada Poster

[Code] [Paper] [时序大模型] [大头的算法笔记] [时序量化Top] [时序前沿研究] [当交通遇上机器学习] [圆圆的算法笔记]

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Siru Zhong, Weilin Ruan, Min Jin, Huan Li, Qingsong Wen, Yuxuan Liang

ICML (International Conference on Machine Learning) 2025, Vancouver, Canada Poster

[Code] [Paper] [时序大模型] [大头的算法笔记] [时序量化Top] [时序前沿研究] [当交通遇上机器学习] [圆圆的算法笔记]

Multimodal Learning for Spatio-Temporal Data Mining
Multimodal Learning for Spatio-Temporal Data Mining

Siru Zhong, Xixuan Hao, Hao Miao, Yan Zhao, Oingsong Wen, Roger Zimmermann, Yuxuan Liang

MM (ACM International Conference on Multimedia) 2025 Tutorial, Dublin, Ireland Tutorial

[Code] [Site]

Multimodal Learning for Spatio-Temporal Data Mining
Multimodal Learning for Spatio-Temporal Data Mining

Siru Zhong, Xixuan Hao, Hao Miao, Yan Zhao, Oingsong Wen, Roger Zimmermann, Yuxuan Liang

MM (ACM International Conference on Multimedia) 2025 Tutorial, Dublin, Ireland Tutorial

[Code] [Site]

UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation

Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang

MM (ACM International Conference on Multimedia) 2024, Melbourne, Australia Poster

[Code] [Paper] [遥感与深度学习]

UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation

Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang

MM (ACM International Conference on Multimedia) 2024, Melbourne, Australia Poster

[Code] [Paper] [遥感与深度学习]

TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models

Sisuo Lyu*, Siru Zhong*, Tiegang Chen, Weilin Ruan, Qingxiang Liu, Taiqiang Lv, Qingsong Wen, Raymond Chi-Wing Wong, Yuxuan Liang (* equal contribution)

Under review.

[Code] [Paper]

TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models

Sisuo Lyu*, Siru Zhong*, Tiegang Chen, Weilin Ruan, Qingxiang Liu, Taiqiang Lv, Qingsong Wen, Raymond Chi-Wing Wong, Yuxuan Liang (* equal contribution)

Under review.

[Code] [Paper]

DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting

Siru Zhong, Yiqiu Liu, Zhiqing Cui, Zezhi Shao, Fei Wang, Qingsong Wen, Yuxuan Liang

Under review.

[Code] [Paper]

DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting

Siru Zhong, Yiqiu Liu, Zhiqing Cui, Zezhi Shao, Fei Wang, Qingsong Wen, Yuxuan Liang

Under review.

[Code] [Paper]

Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting
Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting

Zhiqing Cui*, Siru Zhong*, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang (* equal contribution)

Under review.

[Paper]

Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting
Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting

Zhiqing Cui*, Siru Zhong*, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang (* equal contribution)

Under review.

[Paper]

Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models
Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models

Siru Zhong, Junjie Qiu, Yangyu Wu, Yiqiu Liu, Yuanpeng He, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang

Under review.

[Code] [Paper] [AI TIME 论道] [时空探索之旅]

Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models
Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models

Siru Zhong, Junjie Qiu, Yangyu Wu, Yiqiu Liu, Yuanpeng He, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang

Under review.

[Code] [Paper] [AI TIME 论道] [时空探索之旅]