My name is Hao Miao. I am currently a postdoctoral researcher in the Department of Computer Science at Aalborg University, where I obtained my PhD degree 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
- Spatial Crowdsourcing
🔥 News
- 2025.04: Welcome all to our WWW Tutorial on April 29 in Sydney!
- 2025.04: 🎉 One paper is accepted by TMC 2025
- 2025.03: 🎉 Three papers are accepted by ICDE 2025
- 2025.01: I will serve as an Area Chair (ADS) and PC member (Research) of SIGKDD 2025
- 2024.12: 🎉 One Tutorial is accepted by WWW 2025
- 2024.09: 🎉 One paper is accepted by PVLDB 2025
📈 Tutorials
WWW 2025
Web-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 2025
Multimodal Learning for Spatio-Temporal Data Mining, Yuxuan Liang, Siru Zhong, Xixuan Hao, Hao Miao, Yan Zhao, Qingsong Wen, Roger Zimmermann. [CCF A]
📝 Publications

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.
ICDE 2025
Federated Trajectory Similarity Learning with Privacy-Preserving Clustering, Hao Miao, Ziqiao Liu, Yan Zhao, Kai Zheng, Yupu Zhang, Christian S. Jensen. [CCF A] |ICDE 2025
Efficient 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 2025
Sustainability-Oriented Task Recommendation in Spatial Crowdsourcing, Jinwen Chen, Hao Miao, Dazhuo Qiu, Jiannan Guo, Yawen Li, Yan Zhao. [CCF A] |AAAI 2025
TimeCMA: 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 2025
C2F-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 2025
A 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 2025
Spatio-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 2024
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection, Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang. [CCF A] |ICDE 2024
A 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 2024
LightTR: 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 2024
Task 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 2024
Dependency-aware Differentiable Neural Architecture Search, Buang Zhang, Xinle Wu, Hao Miao, Bin Yang, Chenjuan Guo. [CCF B]IJCAI 2024
Score-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 2023
Resisting 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 2023
Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing, Xiaolong Zhong, Hao Miao#, Dazhuo Qiu, Yan Zhao#, Kai Zheng. [CCF B]AAAI 2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning, Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang. [CCF A]CIKM 2022
Generative-Free Urban Flow Imputation, Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang. [CCF B]CIKM 2022
Task Assignment with Federated Preference Learning in Spatial Crowdsourcing, Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng. [CCF B]ECML-PKDD 2022
Multi-Task Adversarial Learning for Semi-Supervised Trajectory-User Linking, Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu. [CCF B]TKDE 2022
MBA-STNet: Bayes-enhanced Discriminative Multi-task Learning for Flow Prediction, Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang. [CCF A]TKDE 2022
Fine-grained Urban Flow Inference with Incomplete Data, Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang. [CCF A]TKDE 2022
Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks, Senzhang Wang, Jiaqiang Zhang, Jiyue Li, Hao Miao, Jiannong Cao. [CCF A]TIST 2022
Multivariate Correlation-Aware Spatio-Temporal Graph Convolutional Networks for Multi-scale Traffic Prediction, Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu.IJCAI 2021
Multi-Channel Pooling Graph Neural Networks, Jinlong Du, Senzhang Wang, Hao Miao. [CCF A]SDM 2021
MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction, Senzhang Wang, Meiyue Zhang, Hao Miao. [CCF B]TITS 2021
Spatio-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 2021
Deep Learning based Origin-Destination Prediction via Contextual Information fusion, Hao Miao, Yan Fei, Senzhang wang, Fang Wang, Danyan Wen. [CCF C]AAAI 2021 Workshop
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction, Hao Miao, Senzhang Wang, Meiyue Zhang, Diansheng Guo, Funing Sun, Fan Yang.-
CIKM 2020
Multi-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
- 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.
💻 Internships
- 2021.05 - 2021.11, Research Assistant, Hong Kong Polytechnic University, Hong Kong SAR.
- 2020.08 - 2021.04, Research Intern, Tencent, Beijing.