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ORCIDHao Miao 0001
Person information
- unicode name: 缪浩
- affiliation: Aalborg University, Department of Computer Science, Denmark
- affiliation (former): Nanjing University of Aeronautics and Astronautics, China
Other persons with the same name
- Hao Miao — disambiguation page
- Hao Miao 0002 — Peking University, Beijing, China
- Hao Miao 0003 — Taiyuan University of Technology, Jinzhong, Shanxi, China
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2020 – today
- 2024
[j8]Yandi Lun, Hao Miao, Jiaxing Shen, Renzhi Wang, Xiang Wang, Senzhang Wang:
Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning. GeoInformatica 28(3): 381-401 (2024)- [j7]Hao Miao
, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen:
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing. IEEE Trans. Knowl. Data Eng. 36(4): 1800-1814 (2024) - [i7]Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen:
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. CoRR abs/2404.14999 (2024) - [i6]Hao Miao, Senzhang Wang, Meiyue Zhang, Diansheng Guo, Funing Sun, Fan Yang:
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction. CoRR abs/2404.15034 (2024) - [i5]Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li:
LightTR: A Lightweight Framework for Federated Trajectory Recovery. CoRR abs/2405.03409 (2024) - [i4]Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang:
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. CoRR abs/2405.13075 (2024) - [i3]Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao:
TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment. CoRR abs/2406.01638 (2024) - [i2]Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang:
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. CoRR abs/2406.02318 (2024) - 2023
- [j6]Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang, Philip S. Yu:
Fine-Grained Urban Flow Inference With Incomplete Data. IEEE Trans. Knowl. Data Eng. 35(6): 5851-5864 (2023) - [j5]Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang:
MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction. IEEE Trans. Knowl. Data Eng. 35(7): 7164-7177 (2023) - [j4]Senzhang Wang, Jiaqiang Zhang, Jiyue Li, Hao Miao, Jiannong Cao:
Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks. IEEE Trans. Knowl. Data Eng. 35(12): 12323-12336 (2023) - [c9]Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang:
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. AAAI 2023: 4902-4910 - [c8]Xiaolong Zhong, Hao Miao, Dazhuo Qiu, Yan Zhao, Kai Zheng:
Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing. CIKM 2023: 3534-3543 - [i1]Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang:
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. CoRR abs/2304.09174 (2023) - 2022
- [j3]Hao Miao, Yan Fei, Senzhang Wang, Fang Wang, Danyan Wen:
Deep learning based origin-destination prediction via contextual information fusion. Multim. Tools Appl. 81(9): 12029-12045 (2022) - [j2]Senzhang Wang, Meiyue Zhang, Hao Miao, Zhaohui Peng, Philip S. Yu:
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction. ACM Trans. Intell. Syst. Technol. 13(3): 38:1-38:22 (2022) - [j1]Senzhang Wang, Hao Miao, Jiyue Li, Jiannong Cao:
Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks. IEEE Trans. Intell. Transp. Syst. 23(5): 4695-4705 (2022) - [c7]Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng:
Task Assignment with Federated Preference Learning in Spatial Crowdsourcing. CIKM 2022: 1279-1288 - [c6]Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang:
Generative-Free Urban Flow Imputation. CIKM 2022: 2028-2037 - [c5]Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu:
Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking. ECML/PKDD (4) 2022: 418-434 - 2021
- [c4]Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang:
Multi-Channel Pooling Graph Neural Networks. IJCAI 2021: 1442-1448 - [c3]Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu:
MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction. SDM 2021: 504-512 - 2020
- [c2]Chengyu Yin, Senzhang Wang, Hao Miao:
Recursive LSTM with Shift Embedding for Online User-Item Interaction Prediction. CLOUD 2020: 10-12 - [c1]Senzhang Wang, Hao Miao, Hao Chen, Zhiqiu Huang:
Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction. CIKM 2020: 1555-1564
Coauthor Index
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