Hao Miao

Orcid: 0000-0001-9346-7133

Affiliations:

Aalborg University, Department of Computer Science, Denmark
Nanjing University of Aeronautics and Astronautics, China (former)

According to our database¹, Hao Miao authored at least 37 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

A Parameter-Efficient Federated Framework for Streaming Time Series Anomaly Detection via Lightweight Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., September, 2025

LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions.

[BibT_eX]

[DOI]

CoRR, July, 2025

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review.

[BibT_eX]

[DOI]

CoRR, June, 2025

STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

CoRR, May, 2025

Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era.

[BibT_eX]

[DOI]

CoRR, May, 2025

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2025

Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching.

[BibT_eX]

[DOI]

Proc. VLDB Endow., October, 2024

Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning.

[BibT_eX]

[DOI]

GeoInformatica, July, 2024

Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing.

[BibT_eX]

[DOI]

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

Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching-Extended Version.

[BibT_eX]

[DOI]

CoRR, 2024

Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2024

TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

LightTR: A Lightweight Framework for Federated Trajectory Recovery.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Dependency-Aware Differentiable Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Fine-Grained Urban Flow Inference With Incomplete Data.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

AutoSTL: Automated Spatio-Temporal Multi-Task Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

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

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

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

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

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

[BibT_eX]

[DOI]

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

Generative-Free Urban Flow Imputation.

[BibT_eX]

[DOI]

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

Task Assignment with Federated Preference Learning in Spatial Crowdsourcing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Multi-Channel Pooling Graph Neural Networks.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Chengyu Yin

Senzhang Wang

Hao Miao

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

Hao Miao

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...