PPaperPicks

Hao Miao

Hong Kong Polytechnic University

29 papers at tracked venues · 24 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Adaptive Frequency Pathways for Spatiotemporal Forecasting
  2. Balancing Competition for Fairness-Aware Task Recommendation and Assignment in Spatial Crowdsourcing
  3. Evolving Proxy Kills Drift: Data-Efficient Streaming Time Series Anomaly Detection
  4. FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction
  5. Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
  6. LLM-Enhanced Web-Centric Spatio-Temporal Intelligence: Methods, Applications, and Frontier Research
  7. Task-Aware Retrieval Augmentation for Dynamic Recommendation
  8. UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling
  9. VisionST: Coordinating Cross-modal Traffic Prediction with Interactive Geo-image Encoding
  10. C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
  11. Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
  12. Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
  13. Federated Trajectory Similarity Learning with Privacy-Preserving Clustering
    ICDE 2025 · Hao Miao
  14. Multimodal Learning for Spatio-Temporal Data Mining
  15. STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
  16. Sustainability-Oriented Task Recommendation in Spatial Crowdsourcing
  17. The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models
    CIKM 2025 · Hao Miao
  18. TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
  19. TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
  20. Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
  21. Traffic Safety Evaluation Based on Macroscopic Traffic Features in Road Tunnels
  22. Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning
  23. Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era
  24. A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
    ICDE 2024 · Hao Miao
  25. Dependency-Aware Differentiable Neural Architecture Search
  26. Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching
    VLDB 2024 · Hao Miao
  27. LightTR: A Lightweight Framework for Federated Trajectory Recovery
  28. PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
  29. Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation