My name is Hao Miao. I am currently a Research Assistant Professor in the Department of Computing at the Hong Kong Polytechnic University. I obtained my PhD degree at Aalborg University, Denmark, supervised by Prof. Christian S. Jensen, Prof. Yan Zhao, and Prof. Chenjuan Guo. I also work closely with Prof. Bin Yang . From September 2023 to February 2024, I was a visiting PhD at Nanyang Technological University (NTU) advised by Prof. Gao Cong.
From 2018 to 2021, I studied Master in BigData 4 Urban Intelligence Lab led by Prof. Senzhang Wang. From August 2020 to April 2021, I was a research intern at Tencent supervised by Dr. Diansheng Guo. I also worked as a Research Assistant at PolyU advised by Dr. Jiaxing Shen from May 2021 to November 2021.
My main research interests lie in
- Spatio-Temporal Data Analytics
- Trajectory Management
- Large Language Models
I am recruiting Full-time/Part-time Research Assistants (Application Link). If you are interested or have any questions, please feel free to send an E-mail. :-)
🔥 News
- 2025.09: Three papers accepted by NeurIPS 2025 (3/3).
- 2025.08: We will organize the International Workshop on Spatio-Temporal Data Intelligence and Foundation Models at CIKM 2025, Seoul, Korea.
- 2025.08: We will organize a tutorial LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions at SSTD 2025, Osaka, Japan.
- 2025.07: I will serve as AC (Industry Track) and PC (Research Track) of SIGKDD 2026.
- 2025.07: Invited to give a talk regarding LLM-based time series analytics at Lingnan University, Hong Kong.
- 2025.07: Received PVLDB 2025 Travel Award.
- 2025.07: Happy to join IEEE Task Force on AI4ST.
- 2025.06: Join PolyU as a Research Assistant Professor!
- 2025.06: I will serve as PC for ICDM 2026 and WSDM 2026.
- 2025.05: Two Papers are accepted by ICML 2025 and SIGKDD 2025, respectively.
📈 Tutorials
WWW 2025Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era, Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang, Christian S. Jensen. Homepage | Video | [CCF A]MM 2025Multimodal Learning for Spatio-Temporal Data Mining, Yuxuan Liang, Siru Zhong, Xixuan Hao, Hao Miao, Yan Zhao, Qingsong Wen, Roger Zimmermann. [CCF A]SSTD 2025LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions, Chenxi Liu, Hao Miao, Cheng Long, Yan Zhao, Ziyue Li, Panos Kalnis. Homepage
📖 Pre-prints
ArxivUnraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review, Yuchen Fang, Hao Miao, Yuxuan Liang, Liwei Deng, Yue Cui, Ximu Zeng, Yuyang Xia, Yan Zhao, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou, Kai Zheng.
📝 Publications
PVLDB 2025
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching [CCF A] |
Hao Miao, Ziqiao Liu, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen.
NeurIPS 2025STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization, Haoyu Zhang*, Wentao Zhang*, Hao Miao*, Xinke Jiang, Yuchen Fang, Yifan Zhang. [CCF A]NeurIPS 2025SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation, Yinghui Liu*, Hao Miao*, Guojiang Shen, Yan Zhao, Xiangjie Kong, Ivan Lee. [CCF A]NeurIPS 2025TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting, Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang. [CCF A]CIKM 2025Traffic Safety Evaluation Based on Macroscopic Traffic Features in Road Tunnels, Yupu Zhang, Lei Jia, Hao Miao, Weizhu Qian, Yan Zhao, Kai Zheng. [CCF B]ICML 2025Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation, Rihong Qiu*, Xinke Jiang*, Yuchen Fang*, Lai Hongbin*, Hao Miao*, Xu Chu, Junfeng Zhao, Yasha Wang. [CCF A]SIGKDD 2025Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning, Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Christian S. Jensen, Yunyao Cheng, Bin Yang. [CCF A]IJCAI 2025Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era, Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao. [CCF A]ICDE 2025Federated Trajectory Similarity Learning with Privacy-Preserving Clustering, Hao Miao, Ziqiao Liu, Yan Zhao, Kai Zheng, Yupu Zhang, Christian S. Jensen. [CCF A] |ICDE 2025Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation, Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao. [CCF A] |ICDE 2025Sustainability-Oriented Task Recommendation in Spatial Crowdsourcing, Jinwen Chen, Hao Miao, Dazhuo Qiu, Jiannan Guo, Yawen Li, Yan Zhao. [CCF A] |AAAI 2025TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment, Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao. [CCF A, Oral (Top 4.6%)] |AAAI 2025C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-aware Trajectory Prediction, Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang. [CCF A, Oral (Top 4.6%)] |TMC 2025A Parameter-Efficient Federated Framework for Streaming Time Series Anomaly Detection via Lightweight Adaptation, Hao Miao, Ronghui Xu, Yan Zhao, Senzhang Wang, Jianxin Wang, Philip S. Yu, Christian S. Jensen. [CCF A]TKDE 2025Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework, Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen. [CCF A]SIGKDD 2024PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection, Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang. [CCF A] |ICDE 2024A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data, Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen. [CCF A]ICDE 2024LightTR: A Lightweight Framework for Federated Trajectory Recovery, Ziqiao Liu*, Hao Miao* (Co-first Author), Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li. [CCF A]TKDE 2024Task Assignment with Efficient Federated Preference Learning in Spatial Crowdsourcing, Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen. [CCF A]ECCV 2024Dependency-aware Differentiable Neural Architecture Search, Buang Zhang, Xinle Wu, Hao Miao, Bin Yang, Chenjuan Guo. [CCF B]IJCAI 2024Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation, Shunyang Zhang, Senzhang Wang, Hao Miao, Changjun Fan, Hao Chen, Jian Zhang. [CCF A]GeoInformatica 2023Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning, Yandi Lun, Hao Miao, Jiaxing Shen, Renzhi Wang, Xiang Wang, Senzhang Wang. [CCF B]CIKM 2023Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing, Xiaolong Zhong, Hao Miao#, Dazhuo Qiu, Yan Zhao#, Kai Zheng. [CCF B]AAAI 2023AutoSTL: Automated Spatio-Temporal Multi-Task Learning, Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang. [CCF A]CIKM 2022Generative-Free Urban Flow Imputation, Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang. [CCF B]CIKM 2022Task Assignment with Federated Preference Learning in Spatial Crowdsourcing, Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng. [CCF B]ECML-PKDD 2022Multi-Task Adversarial Learning for Semi-Supervised Trajectory-User Linking, Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu. [CCF B]TKDE 2022MBA-STNet: Bayes-enhanced Discriminative Multi-task Learning for Flow Prediction, Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang. [CCF A]TKDE 2022Fine-grained Urban Flow Inference with Incomplete Data, Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang. [CCF A]TKDE 2022Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks, Senzhang Wang, Jiaqiang Zhang, Jiyue Li, Hao Miao, Jiannong Cao. [CCF A]TIST 2022Multivariate Correlation-Aware Spatio-Temporal Graph Convolutional Networks for Multi-scale Traffic Prediction, Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu.IJCAI 2021Multi-Channel Pooling Graph Neural Networks, Jinlong Du, Senzhang Wang, Hao Miao. [CCF A]SDM 2021MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction, Senzhang Wang, Meiyue Zhang, Hao Miao. [CCF B]TITS 2021Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks, Senzhang Wang (Supervisor), Hao Miao, Jiyue Li, Jiannong Cao. [CCF B] |MTA 2021Deep Learning based Origin-Destination Prediction via Contextual Information fusion, Hao Miao, Yan Fei, Senzhang wang, Fang Wang, Danyan Wen. [CCF C]AAAI 2021 WorkshopDeep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction, Hao Miao, Senzhang Wang, Meiyue Zhang, Diansheng Guo, Funing Sun, Fan Yang.-
CIKM 2020Multi-task adversarial spatial-temporal networks for crowd flow prediction, Senzhang Wang (Supervisor), Hao Miao, Hao Chen, Zhiqiu Huang. [CCF B] |*: Co-first Author, #: Corresponding Author
🎖 Honors and Awards
- 2025.07 PVLDB 2025 Travel Award
- 2024.12 SIGKDD2025 Excellent Reviewer
- 2020.10 CIKM2020 SIGIR Student Travel Grant
📖 Educations
- 2021.12 - 2024.12, PhD Fellow, Aalborg University, Denmark.
- 2023.09 - 2024.02, Visiting PhD, Nanyang Technological University, Singapore.
- 2018.09 - 2021.04, Master, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
- 2019.09 - 2019.12, Visiting Student, Hong Kong Polytechnic University, Hong Kong SAR.
💻 Work Experience
- 2024.12 - 2025.06, Postdoc, Aalborg University, Denmark.
- 2021.05 - 2021.11, Research Assistant, Hong Kong Polytechnic University, Hong Kong SAR.
- 2020.08 - 2021.04, Research Intern, Tencent, Beijing.