Research archive

Publications

Spatio-temporal intelligence, multimodal learning, and foundation models.

2026

EarthVerse: Benchmarking Scientific Agents Across Dynamic Earth Systems and Natural Hazards

Zhiqing Cui, Xinxiang Yin, Yihong Tang, Xinglang Zhang, Yuanzhe Hu, Siru Zhong, Weidong Tang, Yuxuan Liang, Weijia Li, Ming Jin, Shirui Pan, Yuhao Kang, Dingyi Zhuang, Jinhua Zhao

arXiv preprint arXiv:2608.23525, 2026

Paper

LiveHouse-TS: An Open-world Living Benchmark for Time Series Foundation Models

Haomin Wen, Ziyu Zhou, Qingxiang Liu, Siru Zhong, Yuxuan Liang

arXiv preprint arXiv:2608.17299, 2026

Code Paper

Ground, Cover, and Refine: Evidence-Centric Frame Selection for Long-Video Question Answering

Fan Wei, Siru Zhong, Runmin Dong, Miao Yang, Zhaoyang Luo, Haohuan Fu

arXiv preprint arXiv:2608.01660, 2026

Paper

Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting

Sicong Lai, Yuehong Hu, Siru Zhong, Si Qiao, Yuxuan Liang, Guangyin Jin

arXiv preprint arXiv:2607.13108, 2026

Paper

ViST: Harnessing Vision Transformation and Reconstruction for Multi-modal Spatio-temporal Forecasting

Weilin Ruan, Siru Zhong, Haomin Wen, Songxin Lei, Yongzheng Liu, Xingchen Zou, Yuxuan Liang

ACM MM (ACM International Conference on Multimedia) 2026, Rio de Janeiro, Brazil

Code Paper

A Fully Automated Research System Deployed at Scale

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

arXiv preprint arXiv:2606.31651, 2026

Paper

Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting

Siru Zhong, Meng Zhao, Haohuan Fu, Haoyang Li, Qingsong Wen, Yuxuan Liang

Under review.

Paper 算法前哨站

Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation

Zhiqing Cui, Haotong Xie, Jiahao Yuan, Cheng Yang, Hanqing Wang, Yuxin Wu, Yifan Wu, Siru Zhong, Tao Yu, Yifu Guo, Siyu Zhang, Xinlei Yu, Qibing Ren, Usman Naseem

Under review.

Paper

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)

KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) 2026, Jeju, South Korea Oral

Paper 时间序列分析团队

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

DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting

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

ICML (International Conference on Machine Learning) 2026, Seoul, South Korea

Code Paper 时空探索之旅时序大模型

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

2025

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting

Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang

AAAI (AAAI Conference on Artificial Intelligence) 2026, Singapore

Code Paper 时间序列分析团队

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 论道时空探索之旅南方科技大学统计与数据科学系

Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting

Weilin Ruan, Wenzhuo Wang, Siru Zhong, Wei Chen, Li Liu, Yuxuan Liang

IEEE Transactions on Intelligent Transportation Systems, 2025

Paper Code

Towards Multi-Scenario Forecasting of Building Electricity Loads with Multimodal Data

Yongzheng Liu, Siru Zhong, Gefeng Luo, Weilin Ruan, Yuxuan Liang

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

Paper 时序之心时序大模型

Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework

Xingchen Zou, Weilin Ruan, Siru Zhong, Yuehong Hu, Yuxuan Liang

KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) 2025, Toronto, Canada

Code Paper

Vision-Enhanced Time Series Forecasting via Latent Diffusion Models

Weilin Ruan, Siru Zhong, Haomin Wen, Yuxuan Liang

Under review.

Paper

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

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

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

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

Code Site Tutorial

UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Model for Urban Indicator Prediction

Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang

AAAI (AAAI Conference on Artificial Intelligence) 2025, Philadelphia, America

Code Paper 遥感GIS大模型

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks

Qiongyan WANG, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shi Fen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang

AAAI (AAAI Conference on Artificial Intelligence) 2025, Philadelphia, America

Code Paper

2024

Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting

Jianxiang Zhou, Erdong Liu, Wei Chen, Siru Zhong, Yuxuan Liang

Under review.

Code Paper

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

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

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

Code Paper 遥感与深度学习

Spatio-Temporal Field Neural Networks for Air Quality Inference

Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Kun Wang, Shifen Cheng, Yuxuan Liang

IJCAI (International Joint Conference on Artificial Intelligence) 2024, Jeju Island, South Korea Oral

Code Paper

Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach

Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

IJCAI (International Joint Conference on Artificial Intelligence) 2024, Jeju Island, South Korea Oral

Code Paper Dataset

UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web

Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

WWW (The Web Conference) 2024, Singapore Oral

Code Paper 遥感GIS大模型