Publications
Google Scholar →2026
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
Diverse Dictionary Learning
2025
Online Time Series Forecasting with Theoretical Guarantees
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
Identifying Semantic Component for Robust Molecular Property Prediction
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
Time Series Domain Adaptation via Latent Invariant Causal Mechanism
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
On the Identification of Temporally Causal Representation with Instantaneous Dependence
2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition
Graph Domain Adaptation: A Generative View
Nonstationary Time Series Forecasting via Unknown Distribution Adaptation
2023
Subspace Identification for Multi-Source Domain Adaptation
Transferable Time-Series Forecasting under Causal Conditional Shift
2022
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
