2025
Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection.
CoRR, June, 2025

Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst., April, 2025

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.
CoRR, February, 2025

Self-attention based cloud top height retrieval for intelligent meteorological service recommendation.
Inf. Sci., 2025

Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.
Proceedings of the ACM on Web Conference 2025, 2025

IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Deep Coupling Network for Multivariate Time Series Forecasting.
ACM Trans. Inf. Syst., September, 2024

Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective.
IEEE Trans. Knowl. Data Eng., June, 2024

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift.
CoRR, 2024

Wills Aligner: A Robust Multi-Subject Brain Representation Learner.
CoRR, 2024

FilterNet: Harnessing Frequency Filters for Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Decoupled Invariant Attention Network for Multivariate Time-series Forecasting.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Neural Time Series Analysis with Fourier Transform: A Survey.
CoRR, 2023

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting.
CoRR, 2022

CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022