Time Series Anomaly
Online latent-domain anomaly detection with style-causal disentanglement and adaptive lifelong experts.
KDD 2026
Time Series Anomaly
Foundation models for zero-shot time series anomaly detection using synthetic data and context discrepancy.
International Conference on Machine Learning (ICML), 2026
Time Series Anomaly
Vision-enhanced zero-shot time series anomaly detection with visual-temporal alignment and adaptive multimodal fusion.
arXiv preprint arXiv:2602.16681
Causal Discovery
Dynamic latent variable modeling for nonlinear causal discovery with applications.
IEEE Transactions on Automation Science and Engineering, 2025
Federated Learning
Federated multi-task BN learning with overlapping and distinct variables.
IISE Transactions, 2025
Datasets & Traffic
Dataset and analysis for traffic dynamics and incident interplay.
Advances in Neural Information Processing Systems (NeurIPS), 2025
Time Series Anomaly
Explainable time series anomaly detection leveraging large language models.
arXiv preprint arXiv:2509.24378
Time Series
Dynamic multilayer networks via tensor state space formulation.
arXiv preprint arXiv:2506.02413
Time Series Anomaly
Interpretable coding enabling cross-domain anomaly detection and adaptation.
arXiv preprint arXiv:2505.00415
KPI Forecasting
Spatiotemporal GNN for multi-scenario cellular KPI forecasting.
IEEE Transactions on Automation Science and Engineering, 2024
Functional Graphs
Multivariate functional DAG learning framework with efficient optimization.
arXiv preprint arXiv:2404.13836
Causal Graphs
Multi-task DAG learning with application to traffic congestion analysis.
KDD 2023
No publications match these filters. Try another search or year.
* Equal contribution.