Jiexi Liu

According to our database, Jiexi Liu authored at least 8 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Negatives-Dominant Contrastive Learning for Generalization in Imbalanced Domains.

Meng Cao, Jiexi Liu, Songcan Chen

CoRR, January, 2026

A gradual coarse-to-fine framework for irregularly sampled multivariate time series analysis.

Jiexi Liu, Meng Cao, Songcan Chen

Sci. China Inf. Sci., 2026

Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning.

Jiexi Liu, Meng Cao, Songcan Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis.

Jiexi Liu, Meng Cao, Songcan Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis.

Jiexi Liu, Meng Cao, Songcan Chen

CoRR, 2024

A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends.

Xiang Li, Jiexi Liu, Xinrui Wang, Songcan Chen

CoRR, 2024

TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning.

Jiexi Liu, Songcan Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2019

Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks.

Jiexi Liu, Songcan Chen

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019