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Xixuan Hao I'm a Ph.D. candidate at HKUST(GZ), supervised by Prof. Yuxuan Liang and Prof. Yangqiu Song. I was a visiting Ph.D. student at the Data Science Institute, 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 LLM-Enhanced 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'm currently interested in Agentic RL, LLM Memory, Multimodal Learning and Spatio-Temporal Intelligence. |
— Leave a story in the history of AGI |
Selected Publications |
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MemOps: Benchmarking Lifecycle Memory Operations in Long-Horizon Conversations
Xixuan Hao, Zeyu Zhang, Zehao Lin, Yihang Sun, Ziliang Guo, Xichong Zhang, Yuxuan Liang, Feiyu Xiong, Zhiyu Li arxiv, 2026 |
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A survey on long-term memory security in llm agents: Attacks, defenses, and governance across the memory lifecycle
Zehao Lin*, Xixuan Hao*, Renyu Fu, Shaobo Cui, Kai Chen, Chunyu Li, Zhiyu Li, Feiyu Xiong EMNLP, 2026 |
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Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling [Oral]
Xixuan Hao, Yutian Jiang, Jiabo Liu, Yihang Yang, Guangyin Jin, Song Gao, Yuxuan Liang KDD, 2026 |
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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 ACL, 2026 |
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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, 2026 |
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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, SCI Q1), 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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LLM-Enhanced Web-Centric Spatio-Temporal Intelligence: Methods, Applications, and Frontier Research @ WWW 2026
Invited Talk (on behalf of Prof. Yuxuan Liang)
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Miscellanea |
Academic Service |
Reviewers: NeurIPS, WWW, KDD, ICLR, ACM MM, AAAI, IJCAI, CIKM, IJCNN, ICASSP, IEEE Big Data, IEEE TOMM, ACM TSAS, Neurocomputing
Session Chair: WWW 2026 |
Teaching |
TA, INTR6000J--Spatio-Temporal Data Mining and Analytics (2024 Spring), HKUST(GZ)
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Selected Awards |