Junchen Ye

Orcid: 0000-0003-2677-0751

According to our database¹, Junchen Ye authored at least 27 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs.

[BibT_eX]

[DOI]

CoRR, April, 2026

Learning multimodal representations for incomplete EHRs with retrieval-augmented personalized modality recovery.

[BibT_eX]

[DOI]

Bohao Li

Bowen Du

Junchen Ye

Inf. Fusion, 2026

RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Incident-Guided Spatiotemporal Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

UNO! UNified Offline Training Paradigm for Learning Path Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Text-Enhanced Panoptic Symbol Spotting in CAD Drawings.

[BibT_eX]

[DOI]

CoRR, October, 2025

PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records.

[BibT_eX]

[DOI]

Bohao Li

Bowen Du

Junchen Ye

ACM Trans. Knowl. Discov. Data, August, 2025

Evolving graph structure learning for multivariate time series forecasting.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

TS-MAE: A masked autoencoder for time series representation learning.

[BibT_eX]

[DOI]

Inf. Sci., 2025

On the Scalability of Temporal Relative Positional Encoding for Dynamic Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., November, 2024

Dynamic Graph Representation Learning for Passenger Behavior Prediction.

[BibT_eX]

[DOI]

Future Internet, August, 2024

MvTS-library: An open library for deep multivariate time series forecasting.

[BibT_eX]

[DOI]

Knowl. Based Syst., January, 2024

Temporal Graph Network for continuous-time dynamic event sequence.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Learning solid dynamics with graph neural network.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DyGKT: Dynamic Graph Learning for Knowledge Tracing.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Repeat-Aware Neighbor Sampling for Dynamic Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

An NCDE-based Framework for Universal Representation Learning of Time Series.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

GAN-Based Anomaly Detection for Multivariate Time Series Using Polluted Training Set.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Spatio-Temporal AutoEncoder for Traffic Flow Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., May, 2023

Deep multi-task learning with flexible and compact architecture search.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., March, 2023

2022

Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data.

[BibT_eX]

[DOI]

CoRR, 2021

Coupled Layer-wise Graph Convolution for Transportation Demand Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Junchen Ye

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