Ling Yue
Orcid: 0009-0005-9130-5962
According to our database1,
Ling Yue authored at least 44 papers
between 2019 and 2026.
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Bibliography
2026
CoRR, May, 2026
AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents.
CoRR, May, 2026
DiagramBank: A Large-scale Dataset of Diagram Design Exemplars with Paper Metadata for Retrieval-Augmented Generation.
CoRR, April, 2026
FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim Verification.
CoRR, April, 2026
From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents.
CoRR, March, 2026
ToolRosetta: Bridging Open-Source Repositories and Large Language Model Agents through Automated Tool Standardization.
CoRR, March, 2026
Functional imaging constrained diffusion for brain PET synthesis from structural MRI.
Medical Image Anal., 2026
ReMe: Scaffolding Personalized Cognitive Training via Controllable LLM-Mediated Conversations.
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
2025
CFD-LLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics.
CoRR, September, 2025
Foam-Agent 2.0: An End-to-End Composable Multi-Agent Framework for Automating CFD Simulation in OpenFOAM.
CoRR, September, 2025
Multi-level adaptive feature representation based on task augmentation for Cross-Domain Few-Shot learning.
Appl. Intell., February, 2025
Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline.
Neural Networks, 2025
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
2024
CoRR, 2024
CoRR, 2024
TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction.
CoRR, 2024
De-Redundancy Distillation And Feature Shift Correction For Cross-Domain Few-Shot Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024
Exploring Hierachical Neighbor Information Interaction for Few-Shot Knowledge Graph Completion.
Proceedings of the International Joint Conference on Neural Networks, 2024
Diversified Task Augmentation with Redundancy Reduction for Cross-Domain Few-Shot Learning.
Proceedings of the IEEE International Conference on Image Processing, 2024
Learning Curve and Acceptability for Immersive VR Exergame Intervention Among Community-Dwelling Elderly Individuals in Shanghai: A Pilot Study.
Proceedings of the HCI International 2024 - Late Breaking Papers, 2024
TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
2023
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline With Structural MRI.
IEEE J. Biomed. Health Informatics, June, 2023
Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network.
Nat. Comput. Sci., 2023
Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages.
Medical Image Anal., 2022
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI.
CoRR, 2022
Briefings Bioinform., 2022
Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
EURASIP J. Image Video Process., 2021
FD-Net: A Fully Dilated Convolutional Network for Historical Document Image Binarization.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Cost-Sensitive Meta-learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021
A Deep Learning Malicious Code Classification Method Combined with Texture Feature Extraction GSINET.
Proceedings of the AIPR 2021: 4th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, September 24, 2021
2020
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive Impairment.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019