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Posts by Collection
portfolio
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publications
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
Published in NeurIPS 2021, 2021
Motif Graph Neural Network
Published in arXiv preprint arXiv:2112.14900, 2021
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance
Published in Neural Networks, 2022
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
Published in IEEE Transactions on Neural Networks and Learning Systems, 2022
Transferable Time-Series Forecasting under Causal Conditional Shift
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Subspace Identification for Multi-Source Domain Adaptation
Published in NeurIPS 2023 Spotlight, 2023
Nonstationary Time Series Forecasting via Unknown Distribution Adaptation
Published in arXiv preprint arXiv:2402.12767, 2024
Graph Domain Adaptation: A Generative View
Published in ACM Transactions on Knowledge Discovery from Data, 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition
Published in NeurIPS 2024, 2024
On the Identification of Temporally Causal Representation with Instantaneous Dependence
Published in ICLR 2025 Oral, 2025
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
Published in WWW 2025, 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Published in AAAI 2025, 2025
Time Series Domain Adaptation via Latent Invariant Causal Mechanism
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
Published in ICLR 2025, 2025
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
Published in Proceedings of the ACM Web Conference 2025, 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
Published in IJCAI 2025, 2025
Identifying Semantic Component for Robust Molecular Property Prediction
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
Published in NeurIPS 2025, 2025
Online Time Series Forecasting with Theoretical Guarantees
Published in NeurIPS 2025, 2025
Diverse Dictionary Learning
Published in ICLR 2026, 2026
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
Published in ICML 2026, 2026
Hierarchical Action Learning for Weakly-Supervised Action Segmentation
Published in CVPR 2026, 2026
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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