My name is Hao Miao. I am currently a PhD Fellow in the Department of Computer Science at Aalborg University under the supervision of Prof. Christian S. Jensen, Prof. Chenjuan Guo and Prof. Yan Zhao. 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.
I received my Master degree in Computer Science from Nanjing University of Aeronautics and Astronautics (NUAA) in 2021. From 2018 to 2021, I studied 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 Mining
- Trajectory Analytics, Spatial Crowdsourcing
- Federated Learning, Continuous Learning
- Large Language Model, Graph Neural Network
I have published 10+ papers at top-tier DB/DM conferences and journals such as ICDE, CIKM, and TKDE.
I am looking for Postdoctoral/Faculty positions. If you are interested, please feel free to contact me. :-)
🔥 News
- 2024.09: 🎉 One paper is accepted by PVLDB 2025
- 2024.07: I will serve as a PC member of SIGKDD 2025
- 2024.07: 🎉 One paper is accepted by ECCV 2024
- 2024.05: 🎉 One paper is accepted by SIGKDD 2024
- 2024.05: I will serve as a PC member of AAAI 2025
- 2023.12: 🎉 Two papers are accepted by ICDE 2024
📝 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.
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection [CCF A] |
Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang.
Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen.
LightTR: A Lightweight Framework for Federated Trajectory Recovery [CCF A]
Ziqiao Liu*, Hao Miao* (Co-first Author), Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li.
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
- 2020.10 CIKM2020 SIGIR Student Travel Grant
📖 Educations
- 2021.12 - now, 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.