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 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]
📝 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.
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
- 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.