Portrait of Siru Zhong

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.

News

  • We released the BetaMem technical report, our long-term memory framework for embodied agents.
  • One paper on benchmarking scientific agents for extreme Earth systems was released.
  • One paper on an open-world living benchmark for time series foundation models was released.
  • One paper on multimodal spatio-temporal forecasting was accepted to ACM MM 2026.
  • I was invited to give a talk on spatio-temporal learning at the 6th Young Scholars Forum, Central South University.
Earlier news
  • One paper on a fully automated research system deployed at scale was released.
  • I joined Beta Infinity as a Research Scientist Intern working on spatio-temporal memory.
  • I presented DropoutTS at AI TIME x ICML 2026.
  • I passed my Ph.D. PQE and officially became a Ph.D. Candidate at HKUST (GZ).
  • One paper on time series memory was accepted to KDD 2026 research track.
  • One paper on robust time series forecasting was accepted to ICML 2026.
  • I joined Tsinghua University and National Supercomputing Center as a visiting student, focusing on temporal sequence modeling.
  • I presented a tutorial on multimodal time series analysis at AAAI 2026 in Singapore.
  • I gave a talk on learning across space and time at Tsinghua Shenzhen International Graduate School.
  • One tutorial on multimodal learning for spatio-temporal data mining was accepted to ICME 2026.
  • I presented a tutorial on multimodal learning for spatio-temporal data mining at ACM MM 2025 in Dublin.
  • One paper on vision-based time series forecasting was accepted to AAAI 2026.
  • I gave a talk at the NeurIPS 2025 Symposium, Southern University of Science and Technology.
  • I presented ST-Factorized at AI TIME x ICML 2025.
  • One paper on spatio-temporal foundation models was accepted to NeurIPS 2025 (spotlight).
  • One paper on traffic flow forecasting was accepted to TITS 2025.
  • One paper on multimodal building electricity load 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 Ph.D. 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 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 joined Tencent as a Software Engineer, working on temporal workflow engine.
  • I graduated from Hefei University of Technology with the Outstanding Thesis Award.
  • I completed my three-month internship at Tencent and received a return offer.

Publications

* equal contribution

Memory and Continual Understanding

Context-Adaptive Learning

Predictive Representation Learning

Other Research & Collaborations

  • A Fully Automated Research System Deployed at Scale

    Qiong Tang, Tianxiang Sun, Xiangkun Hu, …, Siru Zhong, …, Zihao Huang

    Qiong Tang, Tianxiang Sun, Xiangkun Hu, Xiangyang Liu, Yiran Chen, Yunfan Shao, Bobo Li, Changze Lv, Cheng Xu, Chengsong Huang, Chunyang Li, Dizhan Xue, Hao Bai, Haodong Duan, Hengquan Guo, Hongyang He, Hongyi Chen, Hui Shen, Jiahao Yuan, Jiankai Sun, Jikang Cheng, Jinfeng Xu, Jingqi Tong, Jingye Chen, Jinxiu Liu, Jixuan Leng, Junchi Yu, Kaixun Jiang, Kun Xiang, Kunpeng Yao, Lang Feng, Liangqi Yuan, Longsen Gao, Meng Li, Qi Jia, Qiushi Sun, Shengyuan Ding, Shizhan Gong, Siru Zhong, Terry Jingchen Zhang, Tianle Gu, Tianyi Liang, Weijie Liu, Weikai Yang, Weizhi Fei, Xin Wang, Xinpeng Liu, Xuanwen Ding, Yihong Tang, Yuanli Wang, Yukun Jiang, Yuming Yang, Zhengbao He, Zhikai Chen, Zhikun Xu, Zhuang Li, Zihao Huang

    Technical Report 2026

Media coverage

Education

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

Talks

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