Ling Yue

According to our database, Ling Yue authored at least 30 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multi-level adaptive feature representation based on task augmentation for Cross-Domain Few-Shot learning.

Ling Yue, Lin Feng, Qiuping Shuai, Zihao Li, Lingxiao Xu

Appl. Intell., February, 2025

2024

The Potential and Value of AI Chatbot in Personalized Cognitive Training.

Zilong Wang, Nan Chen, Luna K. Qiu, Ling Yue, Geli Guo, Yang Ou, Shiqi Jiang, Yuqing Yang, Lili Qiu

CoRR, 2024

SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction.

Bohao Xu, Yingzhou Lu, Chenhao Li, Ling Yue, Xiao Wang, Nan Hao, Tianfan Fu, Jim Chen

CoRR, 2024

BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba.

Ling Yue, Sixue Xing, Yingzhou Lu, Tianfan Fu

CoRR, 2024

Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI.

Minhui Yu, Mengqi Wu, Ling Yue, Andrea Bozoki, Mingxia Liu

CoRR, 2024

CT-Agent: Clinical Trial Multi-Agent with Large Language Model-based Reasoning.

Ling Yue, Tianfan Fu

CoRR, 2024

TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction.

Ling Yue, Jonathan Li, Md. Zabirul Islam, Bolun Xia, Tianfan Fu, Jintai Chen

CoRR, 2024

De-Redundancy Distillation And Feature Shift Correction For Cross-Domain Few-Shot Learning.

Qiuping Shuai, Lin Feng, Ling Yue, Zihao Li, Lingxiao Xu

Proceedings of the International Joint Conference on Neural Networks, 2024

Exploring Hierachical Neighbor Information Interaction for Few-Shot Knowledge Graph Completion.

Zihao Li, Lin Feng, Lingxiao Xu, Qiuping Shuai, Ling Yue

Proceedings of the International Joint Conference on Neural Networks, 2024

Learning Curve and Acceptability for Immersive VR Exergame Intervention Among Community-Dwelling Elderly Individuals in Shanghai: A Pilot Study.

Jing Cao, Ling Yue, Siming Li, Zhiqiang Wu

Proceedings of the HCI International 2024 - Late Breaking Papers, 2024

TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models.

Ling Yue, Sixue Xing, Jintai Chen, Tianfan Fu

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning.

Ling Yue, Sixue Xing, Jintai Chen, Tianfan Fu

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction.

Ling Yue, Sixue Xing, Jonathan Li, Md. Zabirul Islam, Bolun Xia, Jintai Chen, Tianfan Fu

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

EmerGNN_DDI_data.

Yongqi Zhang, Ling Yue, Quanming Yao

Dataset, October, 2023

Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline With Structural MRI.

Hao Guan, Ling Yue, Pew-Thian Yap, Shifu Xiao, Andrea Bozoki, Mingxia Liu

IEEE J. Biomed. Health Informatics, June, 2023

Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network.

Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

Nat. Comput. Sci., 2023

Ensemble Learning for Graph Neural Networks.

Zhen Hao Wong, Ling Yue, Quanming Yao

CoRR, 2023

Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline.

Minhui Yu, Yunbi Liu, Jinjian Wu, Andrea Bozoki, Shijun Qiu, Ling Yue, Mingxia Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Relation-aware Ensemble Learning for Knowledge Graph Embedding.

Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

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.

Yunbi Liu, Ling Yue, Shifu Xiao, Wei Yang, Dinggang Shen, Mingxia Liu

Medical Image Anal., 2022

Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI.

Hao Guan, Ling Yue, Pew-Thian Yap, Andrea Bozoki, Mingxia Liu

CoRR, 2022

DSGAT: predicting frequencies of drug side effects by graph attention networks.

Xianyu Xu, Ling Yue, Bingchun Li, Ying Liu, Yuan Wang, Wenjuan Zhang, Lin Wang

Briefings Bioinform., 2022

Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline.

Minhui Yu, Hao Guan, Yuqi Fang, Ling Yue, Mingxia Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

An enhanced binarization framework for degraded historical document images.

Wei Xiong, Lei Zhou, Ling Yue, Lirong Li, Song Wang

EURASIP J. Image Video Process., 2021

FD-Net: A Fully Dilated Convolutional Network for Historical Document Image Binarization.

Wei Xiong, Ling Yue, Lei Zhou, Liying Wei, Min Li

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.

Hao Guan, Yunbi Liu, Shifu Xiao, Ling Yue, Mingxia Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Euclidean and Rapid Jacobian-based Saliency Maps Attacks.

Ling Yue, Yong Zhang, Pengfei Wei

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.

Pengfei Wei, Yong Zhang, Ling Yue, Jialu Xu

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.

Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen

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.

Aojie Li, Ling Yue, Manhua Liu, Shifu Xiao

Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019