Siru Zhong
Ph.D. Student, The Hong Kong University of Science and Technology (Guangzhou), Ex-Huawei & Tencent & XPENG

Greetings! I am a Ph.D. student at CityMind Lab, The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Yuxuan Liang and co-supervised by Prof. Yue Yang and Prof. Yangqiu Song. I am also a visiting Ph.D. student at HPGC Research Group, Tsinghua University, supervised by Prof. Haohuan Fu. Previously, I obtained my M.Phil. degree from the same university and my B.E. degree from Hefei University of Technology.

Currently, my research focuses on Time Series Analysis, Multimodal, and Foundation Models, etc. I also collaborate closely with Dr. Qingsong Wen @ Squirrel AI, Prof. Roger Zimmermann @ NUS, Prof. Zezhi Shao @ CAS, Prof. Shirui Pan @ Griffith University, and Prof. Hui Xiong @ HKUST. Prior to that, I interned at Huawei (supervised by Dr. Hao Xu), XPENG (supervised by Dr. Cheng Lu), and worked as a full-time Software Engineer at Tencent from 2022 to 2023.

I am passionate about building adaptive and practical spatio-temporal systems, translating research into deployable solutions that address real-world challenges.

Feel free to reach out via email if you're interested in discussing research ideas or exploring potential collaborations!

Education
  • Tsinghua University
    Tsinghua University
    Visiting Ph.D. Student, Institute of Data and Information
    Feb. 2026 - Present
  • Hong Kong University of Science and Technology (GZ)
    Hong Kong University of Science and Technology (GZ)
    Ph.D. in Data Science and Analytics Thrust
    Feb. 2025 - Jan. 2028
  • Hong Kong University of Science and Technology (GZ)
    Hong Kong University of Science and Technology (GZ)
    M.Phil. in Data Science and Analytics Thrust
    Aug. 2023 - Jan. 2025
  • Hefei University of Technology
    Hefei University of Technology
    B.Eng. in School of Computer and Information
    Sep. 2018 - Jul. 2022
Experience
  • 2012 Laboratories, Huawei
    2012 Laboratories, Huawei
    Research Intern, Spatio-Temporal Foundation Models
    Feb. 2025 - Dec. 2025
  • Autonomous Driving Center, XPENG
    Autonomous Driving Center, XPENG
    Research Intern, Multimodal Image-Text Perception
    May. 2024 - Aug. 2024
  • CloudDev Center, Tencent
    CloudDev Center, Tencent
    Software Engineer & Intern, Cloud Intelligent IDE
    Jun. 2021 - May. 2023
News
2026
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 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 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 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 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 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 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 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 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]

Service
  • Reviewer of KDD 2026 (Datasets and Benchmarks Track, AI4Science Track)
  • PC Member of ACM MM 2026
  • PC Member of AAAI 2026 (Main Track & AISI Track)
  • PC Member of PAKDD 2026
  • Reviewer of IEEE TPAMI
  • Reviewer of IEEE Neurocomputing
  • Reviewer of ICLR 2025, 2026
  • Reviewer of KDD 2026 (Datasets and Benchmarks Track)
  • Reviewer of MM 2025 (Main Track & Dataset Track)
  • Tutorial Organizer of MM4ST@MM2025
  • Web Master of WebST 2025 & UrbComp 2025
Awards
  • Junior Student Track Awardees of DSA Excellent Research Award, HKUST(Guangzhou)
    2026
  • Runner-Up Prize for DSA Excellent Research Award, HKUST(Guangzhou)
    2025
  • Best Project Award (1st/15) in Data Science Computing, HKUST(Guangzhou)
    2023
  • Outstanding Student (Top 10%) in Red Bird Summer Camp, HKUST(Guangzhou)
    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
Talks
Teaching
  • DSAA60000 Table Representation Learning
    Spring 2026
  • DSAA2043 Design and Analysis of Algorithms
    Fall 2025
  • PLED5001 Communicating Research in English
    Spring 2025
  • PDEV6800 Introduction to Teaching and Learning in Higher Education
    Fall 2024