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
- 2026.03: We will organize a workshop, Foundation Models for Urban Analytics and Intelligence: From Theory to Real-World Impact, at ECML-PKDD 2026, Naples, Italy.
- 2026.02: One paper accepted by ICDE 2026.
- 2026.02: I will serve as AC of SIGKDD 2026 (Research and ADS Track).
- 2026.01: I will serve as SPC of IJCAI 2026.
- 2026.01: Four papers accepted by WWW 2026 (4/4).
- 2025.12: One Tutorial of Spatio-Temporal Intelligence Accepted by WWW 2026.
- 2025.11: Two papers accepted by AAAI 2026.
- 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: Received PVLDB 2025 Travel Award.
- 2025.07: Happy to join IEEE Task Force on AI4ST.
- 2025.06: Join PolyU as a Research Assistant Professor!
📈 Tutorials
WWW 2026LLM-Enhanced Web-Centric Spatio-Temporal Intelligence: Methods, Applications, and Frontier Research, Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Irwin King. [CCF A]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
📝 Publications
ICDE 2026Balancing Competition for Fairness-aware Task Recommendation and Assignment in Spatial Crowdsourcing, Jinwen Chen*, Hao Miao*, Lei Jia, Guangqiang Yin, Yan Zhao, Kai Zheng. [CCF A]ICLR 2026ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting, Jindong Tian, Yifei Ding, Ronghui Xu, Hao Miao, Chenjuan Guo, Bin Yang.ICLR 2026Paradigm Shift of GNN Explainer from Label Space to Prototypical Representation Space, Jun Yin, Senzhang Wang, Ziluowen Luo, Peng Huo, Hao Yan, Hao Miao, Chaozhuo Li, Shirui Pan, Chengqi Zhang.WWW 2026Evolving Proxy Kills Drift: Data-Efficient Streaming Time Series Anomaly Detection, Qing Wei*, Hao Miao*, Yan Zhao, Kai Zheng, Bin Yang, Volker Markl, Christian S. Jensen. [CCF A]WWW 2026VisionST: Coordinating Cross-modal Traffic Prediction with Interactive Geo-image Encoding, Jinwen Chen*, Hao Miao*, Chenxi Liu, Yan Zhao, Kai Zheng. [CCF A]WWW 2026FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction, Chengyang Zhou, Zijian Zhang, Chunxu Zhang, Hao Miao, Yulin Zhang, Kedi Lyu, Juncheng Hu. [CCF A]WWW 2026UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling, Pingping Liu, Jiamiao Liu, Zijian Zhang, Hao Miao, Qi Jiang, Qingliang Li, Qiuzhan Zhou, Irwin King. [CCF A]TKDE 2026Unraveling 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. [CCF A] |TKDE 2026LightTR+: A Lightweight Incremental Framework for Federated Trajectory Recovery, Hao Miao, Ziqiao Liu, Yan Zhao, Chenxi Liu, Chenjuan Guo, Bin Yang, Kai Zheng, Huan Li, Christian S. Jensen. [CCF A]AAAI 2026Adaptive Frequency Pathways for Spatiotemporal Forecasting, Yanjun Qin, Yuchen Fang, Xinke Jiang, Hao Miao#, Xiaoming Tao. [CCF A]AAAI 2026Task-Aware Retrieval Augmentation for Dynamic Recommendation, Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun. [CCF A]PVLDB 2025Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching, Hao Miao, Ziqiao Liu, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen. [CCF A] |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.