Youru Li

Orcid: 0000-0002-9326-9863

According to our database1, Youru Li authored at least 27 papers between 2019 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
Predictive framework for cervical cancer brachytherapy fractionation mode integrating generative model and dynamic feature aggregation GNNs.
BMC Medical Informatics Decis. Mak., December, 2026

Spatial-Temporal Multimodal Large Language Model for Generative Recommendation in Alipay.
IEEE Trans. Knowl. Data Eng., April, 2026

Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories.
CoRR, April, 2026

MLFormer: Mamba-like linear attention with hierarchical context fusion for efficient medical image segmentation.
Biomed. Signal Process. Control., 2026

2025
Determinantal Point Processes Guided Crowd-wise Mixture-of-Experts for Recommendation in Alipay.
Trans. Recomm. Syst., March, 2025

2024
HKA: A Hierarchical Knowledge Alignment Framework for Multimodal Knowledge Graph Completion.
ACM Trans. Multim. Comput. Commun. Appl., August, 2024

Multi-Task Learning with Sequential Dependence Toward Industrial Applications: A Systematic Formulation.
ACM Trans. Knowl. Discov. Data, June, 2024

Exploring Large-Scale Financial Knowledge Graph for SMEs Supply Chain Mining.
IEEE Trans. Knowl. Data Eng., May, 2024

HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction.
ACM Trans. Knowl. Discov. Data, January, 2024

Node-Oriented Spectral Filtering for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Asymptotic Consistent Graph Structure Learning for Multivariate Time-Series Anomaly Detection.
IEEE Trans. Instrum. Meas., 2024

Information Maximization via Variational Autoencoders for Cross-Domain Recommendation.
CoRR, 2024

FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting.
Appl. Intell., December, 2023

Adversarial self-attentive time-variant neural networks for multi-step time series forecasting.
Expert Syst. Appl., November, 2023

Sylvester Equation Induced Collaborative Representation Learning for Recommendation.
IEEE Trans. Knowl. Data Eng., September, 2023

Cooperative dual medical ontology representation learning for clinical assisted decision-making.
Comput. Biol. Medicine, September, 2023

CED: A case-level explainable paramedical diagnosis via AdaGBDT.
Comput. Biol. Medicine, February, 2023

Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction.
IEEE Trans. Knowl. Data Eng., 2023

Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Self-attention-based time-variant neural networks for multi-step time series forecasting.
Neural Comput. Appl., 2022

SGT: Scene Graph-Guided Transformer for Surgical Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Deep learning based torsional nystagmus detection for dizziness and vertigo diagnosis.
Biomed. Signal Process. Control., 2021

2020
DKEN: Deep knowledge-enhanced network for recommender systems.
Inf. Sci., 2020

CCAE: Cross-field categorical attributes embedding for cancer clinical endpoint prediction.
Artif. Intell. Medicine, 2020

2019
EA-LSTM: Evolutionary attention-based LSTM for time series prediction.
Knowl. Based Syst., 2019

Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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