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 
I am looking for Postdoctoral/Faculty positions. If you are interested, please feel free to contact me. :-)
🔥 News
- 2024.04: 🎉 One paper is accepted by IJCAI 2024
- 2024.04: 🎉 One paper is published at TKDE 2024
- 2023.12: 🎉 Two papers are accepted by ICDE 2024
- 2023.09: I start studying at NTU, Singapore, as a visiting PhD
📝 Publications
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.
Task Assignment with Efficient Federated Preference Learning in Spatial Crowdsourcing [CCF A]
Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, and Christian S. Jensen.
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#, and 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 and Jianxin Wang. [CCF B]CIKM 2022Task Assignment with Federated Preference Learning in Spatial Crowdsourcing, Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao and 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.
- 2018.09 - 2021.04, Master, Nanjing Univeristy of Aeronautics and Astronautics, Nanjing, China.
💻 Internships
- 2023.09 - 2024.02, Visiting PhD, Nanyang Technological University, Singapore.
- 2021.05 - 2021.11, Research Assistant, Hong Kong Polytechnic University, Hong Kong SAR.
- 2020.08 - 2021.04, Research Intern, Tencent, Beijing.
- 2019.09 - 2019.12, Visiting Student, Hong Kong Polytechnic University, Hong Kong SAR.