Yongcan Luo

Orcid: 0009-0002-8957-1020

According to our database1, Yongcan Luo authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Taming Language Models for Predicting Stock Price With Causality Guidance.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2026

General Diffusion Transformer for Arbitrary Medical Image Translation.
IEEE Trans. Fuzzy Syst., May, 2026

Causality-Aware Dual Graph Approach for Multi-Cloud Networking Forecasting.
IEEE Trans. Netw. Sci. Eng., 2026

Dual Graph Learning for Multivariate Time Series Anomaly Detection in IoUT.
IEEE Trans. Netw. Sci. Eng., 2026

COP: CrOss-View Attention Prompt for Zero-Shot Sketch-Based Image Retrieval.
IEEE Trans. Multim., 2026

MVHDiff: Leveraging 3D priors for consistent multi-view human image generation with diffusion models.
Neurocomputing, 2026

2025
Synchronized-Transmission TDOA-Based IoUT Localization Under Depth-Dependent Sound Speed.
IEEE Internet Things J., October, 2025

Pleno-Alignment Framework for Stock Trend Prediction.
IEEE Trans. Neural Networks Learn. Syst., September, 2025

Anomaly Detection on Attributed Networks via Multiview and Multiscale Contrastive Learning.
IEEE Trans. Comput. Soc. Syst., June, 2025

2024
Pyramid Transformer for Multivariate Time Series Anomaly Detection in IoUT.
Proceedings of the IEEE International Conference on Smart Internet of Things, 2024

2023
Multiview Graph Contrastive Learning for Multivariate Time-Series Anomaly Detection in IoT.
IEEE Internet Things J., 2023

Memory-Augmented U-Transformer For Multivariate Time Series Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023


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