Hao Miao

According to our database, Hao Miao authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

IEEE Trans. Knowl. Data Eng., April, 2024

2023

Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks.

Senzhang Wang, Jiaqiang Zhang, Jiyue Li, Hao Miao, Jiannong Cao

IEEE Trans. Knowl. Data Eng., December, 2023

MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction.

Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang

IEEE Trans. Knowl. Data Eng., July, 2023

Fine-Grained Urban Flow Inference With Incomplete Data.

Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang, Philip S. Yu

IEEE Trans. Knowl. Data Eng., June, 2023

Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing.

Xiaolong Zhong, Hao Miao, Dazhuo Qiu, Yan Zhao, Kai Zheng

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoSTL: Automated Spatio-Temporal Multi-Task Learning.

Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks.

Senzhang Wang, Hao Miao, Jiyue Li, Jiannong Cao

IEEE Trans. Intell. Transp. Syst., 2022

Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction.

Senzhang Wang, Meiyue Zhang, Hao Miao, Zhaohui Peng, Philip S. Yu

ACM Trans. Intell. Syst. Technol., 2022

Deep learning based origin-destination prediction via contextual information fusion.

Hao Miao, Yan Fei, Senzhang Wang, Fang Wang, Danyan Wen

Multim. Tools Appl., 2022

Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking.

Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Generative-Free Urban Flow Imputation.

Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Task Assignment with Federated Preference Learning in Spatial Crowdsourcing.

Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction.

Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Multi-Channel Pooling Graph Neural Networks.

Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction.

Senzhang Wang, Hao Miao, Hao Chen, Zhiqiu Huang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Recursive LSTM with Shift Embedding for Online User-Item Interaction Prediction.

Chengyu Yin, Senzhang Wang, Hao Miao

Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020