Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive Impairment. - Aojie Li; Ling Yue; Manhua Liu; Shifu Xiao (PRIME@MICCAI, 2019)

Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. - Yunbi Liu; Yongsheng Pan; Wei Yang 006; Zhenyuan Ning; Ling Yue; Mingxia Liu 001; Dinggang Shen (MICCAI (7), 2020)

A Deep Learning Malicious Code Classification Method Combined with Texture Feature Extraction GSINET. - Pengfei Wei; Yong Zhang; Ling Yue; Jialu Xu (AIPR, 2021)

Euclidean and Rapid Jacobian-based Saliency Maps Attacks. - Ling Yue; Yong Zhang; Pengfei Wei (ISKE, 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 001 (MICCAI (5), 2021)

FD-Net: A Fully Dilated Convolutional Network for Historical Document Image Binarization. - Wei Xiong; Ling Yue; Lei Zhou; Liying Wei; Min Li (PRCV (1), 2021)

An enhanced binarization framework for degraded historical document images. - Wei Xiong 004; Lei Zhou; Ling Yue; Lirong Li; Song Wang 002 (EURASIP J. Image Video Process., 2021)

Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline. - Minhui Yu; Hao Guan; Yuqi Fang; Ling Yue; Mingxia Liu 001 (MICCAI (1), 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 107 (Briefings Bioinform., 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 001 (CoRR, 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 006; Dinggang Shen; Mingxia Liu 001 (Medical Image Anal., 2022)

Relation-aware Ensemble Learning for Knowledge Graph Embedding. - Ling Yue; Yongqi Zhang; Quanming Yao; Yong Li 008; Xian Wu 001; Ziheng Zhang; Zhenxi Lin; Yefeng Zheng 001 (EMNLP, 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 001 (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Ensemble Learning for Graph Neural Networks. - Zhen Hao Wong; Ling Yue; Quanming Yao (CoRR, 2023)

Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network. - Yongqi Zhang; Quanming Yao; Ling Yue; Xian Wu 001; Ziheng Zhang; Zhenxi Lin; Yefeng Zheng 001 (Nat. Comput. Sci., 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 001 (IEEE J. Biomed. Health Informatics, 2023)

EmerGNN_DDI_data. - Yongqi Zhang; Ling Yue; Quanming Yao (Zenodo, 2023)

TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction. - Ling Yue; Sixue Xing; Jonathan Li 010; Md. Zabirul Islam; Bolun Xia; Jintai Chen; Tianfan Fu (BCB, 2024)

ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning. - Ling Yue; Sixue Xing; Jintai Chen; Tianfan Fu (BCB, 2024)

TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models. - Ling Yue; Sixue Xing; Jintai Chen; Tianfan Fu (BCB, 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 (HCI (68), 2024)

Diversified Task Augmentation with Redundancy Reduction for Cross-Domain Few-Shot Learning. - Ling Yue; Lin Feng; Qiuping Shuai; Lingxiao Xu; Zihao Li (ICIP, 2024)

Exploring Hierachical Neighbor Information Interaction for Few-Shot Knowledge Graph Completion. - Zihao Li; Lin Feng; Lingxiao Xu; Qiuping Shuai; Ling Yue (IJCNN, 2024)

De-Redundancy Distillation And Feature Shift Correction For Cross-Domain Few-Shot Learning. - Qiuping Shuai; Lin Feng; Ling Yue; Zihao Li; Lingxiao Xu (IJCNN, 2024)

TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction. - Ling Yue; Jonathan Li 010; Md. Zabirul Islam; Bolun Xia; Tianfan Fu; Jintai Chen (CoRR, 2024)

CT-Agent: Clinical Trial Multi-Agent with Large Language Model-based Reasoning. - Ling Yue; 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 001 (CoRR, 2024)

BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba. - Ling Yue; Sixue Xing; Yingzhou Lu; Tianfan Fu (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)

The Potential and Value of AI Chatbot in Personalized Cognitive Training. - Zilong Wang 006; Nan Chen; Luna K. Qiu; Ling Yue; Geli Guo; Yang Ou; Shiqi Jiang; Yuqing Yang 001; Lili Qiu (CoRR, 2024)

Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline. - Minhui Yu; Yuqi Fang; Yunbi Liu; Andrea C. Bozoki; Shifu Xiao; Ling Yue; Mingxia Liu 001 (Neural Networks, 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., 2025)

Foam-Agent: Towards Automated Intelligent CFD Workflows. - Ling Yue; Nithin Somasekharan; Yadi Cao; Shaowu Pan (CoRR, 2025)