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Xixuan Hao I'm a Ph.D. candidate at HKUST(GZ), supervised by Prof. Yuxuan Liang and Prof. Yangqiu Song. Currently, I am a visiting Ph.D. student at UW-Madison, supervised by Prof. Song Gao. Before that, I received my Master's degree from HKU. I was a research intern at DiDi in 2025, focusing on Ride-Hailing Forecasting. I was a research intern at CUHK(SZ) in 2023, focusing on Multimodal Learning, working with Prof. Ruimao Zhang. I was a research intern at Microsoft Research Asia (MSRA) in 2022, working with Dr. Danqing Huang and Prof. Chin-Yew Lin, focusing on UI Object Detection. I was a research intern at The Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Science in 2021, working with Dr. Bin Fu and Prof. Yu Qiao, focusing on Scene Text Spotting (OCR). I'm currently interested in Agentic RL, Multimodal Learning and Spatio-Temporal Data Mining. |
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Publications |
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AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing
Xusen Guo, Mingxing Peng, Xixuan Hao, Xingchen Zou, Qiongyan Wang, Sijie Ruan, Yuxuan Liang WWW, 2026 |
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Enhancing Ride-Hailing Forecasting at DiDi with Multi-View Geospatial Representation Learning from the Web [Oral]
Xixuan Hao, Guicheng Li, Daiqiang Wu, Xusen Guo, Yumeng Zhu, Zhichao Zou, Peng Zhen, Yao Yao, Yuxuan Liang WWW, 2026 |
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Traffic-R1: Reinforced LLMs bring human-like reasoning to traffic signal control systems
Xingchen Zou, Yuhao Yang, Zheng Chen, Xixuan Hao, Yiqi Chen, Chao Huang, Yuxuan Liang arxiv, 2025 |
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Geospatial Representation Learning: A Survey from Deep Learning to The LLM Era
Xixuan Hao, Yutian Jiang, Xingchen Zou, Jiabo Liu, Yifang Yin, Song Gao, Flora Salim, Tianrui Li, Yuxuan Liang arxiv, 2025 |
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Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs
Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Chao Chen, Yuxuan Liang ACM SIGSPATIAL, 2025 |
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Nature Makes No Leaps: Building Continuous Location Embeddings with Satellite Imagery from the Web
Xixuan Hao, Wei Chen, Xingchen Zou, Yuxuan Liang WWW, 2025 |
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UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction
Xixuan Hao*, Wei Chen*, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang AAAI, 2025 |
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Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
Xingchen Zou*, Yibo Yan*, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang Information Fusion (IF=15.5), 2024 |
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Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
Wei Chen, Xixuan Hao, Yuankai Wu, Yuxuan Liang NeurIPS, 2024 |
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UrbanCross: Enhancing satellite image-text retrieval with cross-domain adaptation
Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang ACM MM, 2024 |
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Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity
Hanqi Jiang*, Xixuan Hao*, Yuzhou Huang, Chong Ma, Jiaxun Zhang, Yi Pan, Ruimao Zhang ECCV Workshop, 2024 |
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Relation-enhanced DETR for component detection in graphic design reverse engineering [Oral]
Xixuan Hao, Danqing Huang, Jieru Lin, Chin-Yew Lin IJCAI, 2023 |
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Deformation Robust Text Spotting with Geometric Prior [Oral]
Xixuan Hao, Aozhong Zhang, Xianze Meng, Bin Fu IEEE ICIP, 2023 |
Workshops & Tutorials |
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Miscellanea |
Academic Service |
Reviewers: NeurIPS, WWW, KDD, ICLR, ACM MM, AAAI, IJCAI, IJCNN, ICASSP, IEEE Big Data, IEEE TOMM, ACM TSAS, Neurocomputing |
Teaching |
TA, INTR6000J--Spatio-Temporal Data Mining and Analytics (2024 Spring), HKUST(GZ)
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Selected Awards |