Jiexi Liu

11 papers A* 3Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A gradual coarse-to-fine framework for irregularly sampled multivariate time series analysis. Sci. China Inf. Sci. Jiexi Liu, Meng Cao, Songcan Chen
2026	A*	`conf`	Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning. AAAI Jiexi Liu, Meng Cao, Songcan Chen
2026	J	`jnl`	Negatives-Dominant Contrastive Learning for Generalization in Imbalanced Domains. CoRR Meng Cao, Jiexi Liu, Songcan Chen
2025	J	`jnl`	Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning. CoRR Jiexi Liu, Meng Cao, Songcan Chen
2025	A*	`conf`	TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis. AAAI Jiexi Liu, Meng Cao, Songcan Chen
2024	J	`jnl`	A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends. CoRR Xiang Li, Jiexi Liu, Xinrui Wang, Songcan Chen
2024	J	`jnl`	MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis. CoRR Jiexi Liu, Meng Cao, Songcan Chen
2024	J	`jnl`	TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis. CoRR Jiexi Liu, Meng Cao, Songcan Chen
2024	A*	`conf`	TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning. AAAI Jiexi Liu, Songcan Chen
2023	J	`jnl`	TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning. CoRR Jiexi Liu, Songcan Chen
2019	—	`conf`	Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks. PRICAI (3) Jiexi Liu, Songcan Chen