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2020 – today
- 2025
[j7]Ling Yue, Lin Feng, Qiuping Shuai, Zihao Li, Lingxiao Xu:
Multi-level adaptive feature representation based on task augmentation for Cross-Domain Few-Shot learning. Appl. Intell. 55(4): 291 (2025)- [j6]Minhui Yu
, Yuqi Fang, Yunbi Liu, Andrea C. Bozoki, Shifu Xiao, Ling Yue, Mingxia Liu:
Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline. Neural Networks 186: 107263 (2025) - [i15]Ling Yue, Nithin Somasekharan, Yadi Cao, Shaowu Pan:
Foam-Agent: Towards Automated Intelligent CFD Workflows. CoRR abs/2505.04997 (2025) - [i14]Chaoqian Ouyang, Ling Yue, Shimin Di, Libin Zheng, Linan Yue, Shaowu Pan, Jian Yin, Min-Ling Zhang:
Code2MCP: Transforming Code Repositories into MCP Services. CoRR abs/2509.05941 (2025) - [i13]Ling Yue, Nithin Somasekharan, Tingwen Zhang, Yadi Cao, Shaowu Pan:
Foam-Agent 2.0: An End-to-End Composable Multi-Agent Framework for Automating CFD Simulation in OpenFOAM. CoRR abs/2509.18178 (2025) - [i12]Nithin Somasekharan, Ling Yue, Yadi Cao, Weichao Li, Patrick Emami, Pochinapeddi Sai Bhargav, Anurag Acharya, Xingyu Xie, Shaowu Pan:
CFD-LLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics. CoRR abs/2509.20374 (2025) - 2024
- [c16]Ling Yue, Sixue Xing, Jintai Chen, Tianfan Fu:
ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning. BCB 2024: 11:1-11:10 - [c15]Ling Yue, Sixue Xing, Jintai Chen, Tianfan Fu:
TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models. BCB 2024: 43:1-43:9 - [c14]Ling Yue, Sixue Xing, Jonathan Li, Md. Zabirul Islam, Bolun Xia, Jintai Chen, Tianfan Fu:
TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction. BCB 2024: 85:1 - [c13]Jing Cao, Ling Yue, Siming Li, Zhiqiang Wu:
Learning Curve and Acceptability for Immersive VR Exergame Intervention Among Community-Dwelling Elderly Individuals in Shanghai: A Pilot Study. HCI (68) 2024: 158-175 - [c12]Ling Yue, Lin Feng, Qiuping Shuai, Lingxiao Xu, Zihao Li:
Diversified Task Augmentation with Redundancy Reduction for Cross-Domain Few-Shot Learning. ICIP 2024: 631-637 - [c11]Zihao Li, Lin Feng, Lingxiao Xu, Qiuping Shuai, Ling Yue:
Exploring Hierachical Neighbor Information Interaction for Few-Shot Knowledge Graph Completion. IJCNN 2024: 1-9 - [c10]Qiuping Shuai, Lin Feng, Ling Yue, Zihao Li, Lingxiao Xu:
De-Redundancy Distillation And Feature Shift Correction For Cross-Domain Few-Shot Learning. IJCNN 2024: 1-8 - [i11]Ling Yue, Jonathan Li, Md. Zabirul Islam, Bolun Xia, Tianfan Fu, Jintai Chen:
TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction. CoRR abs/2404.13235 (2024) - [i10]Ling Yue, Tianfan Fu:
CT-Agent: Clinical Trial Multi-Agent with Large Language Model-based Reasoning. CoRR abs/2404.14777 (2024) - [i9]Minhui Yu, Mengqi Wu, Ling Yue, Andrea Bozoki, Mingxia Liu:
Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI. CoRR abs/2405.02504 (2024) - [i8]Ling Yue, Sixue Xing, Jintai Chen, Tianfan Fu:
TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models. CoRR abs/2407.13115 (2024) - [i7]Ling Yue, Sixue Xing, Yingzhou Lu, Tianfan Fu:
BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba. CoRR abs/2408.02600 (2024) - [i6]Bohao Xu, Yingzhou Lu, Chenhao Li, Ling Yue, Xiao Wang, Nan Hao, Tianfan Fu, Jim Chen:
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction. CoRR abs/2408.05696 (2024) - [i5]Zilong Wang, Nan Chen, Luna K. Qiu, Ling Yue, Geli Guo, Yang Ou, Shiqi Jiang, Yuqing Yang, Lili Qiu:
The Potential and Value of AI Chatbot in Personalized Cognitive Training. CoRR abs/2410.19733 (2024) - 2023
- [j5]Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network. Nat. Comput. Sci. 3(12): 1023-1033 (2023) - [j4]Hao Guan, Ling Yue, Pew-Thian Yap, Shifu Xiao, Andrea Bozoki, Mingxia Liu:
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline With Structural MRI. IEEE J. Biomed. Health Informatics 27(6): 2980-2989 (2023) - [c9]Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP 2023: 16620-16631 - [c8]Minhui Yu, Yunbi Liu, Jinjian Wu, Andrea Bozoki, Shijun Qiu, Ling Yue, Mingxia Liu:
Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 265-275 - [d1]Yongqi Zhang, Ling Yue, Quanming Yao:
EmerGNN_DDI_data. Zenodo, 2023
- [i4]Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Relation-aware Ensemble Learning for Knowledge Graph Embedding. CoRR abs/2310.08917 (2023) - [i3]Zhen Hao Wong, Ling Yue, Quanming Yao:
Ensemble Learning for Graph Neural Networks. CoRR abs/2310.14166 (2023) - [i2]Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network. CoRR abs/2311.09261 (2023) - 2022
- [j3]Xianyu Xu, Ling Yue, Bingchun Li, Ying Liu, Yuan Wang, Wenjuan Zhang, Lin Wang:
DSGAT: predicting frequencies of drug side effects by graph attention networks. Briefings Bioinform. 23(2) (2022) - [j2]Yunbi Liu, Ling Yue, Shifu Xiao, Wei Yang, Dinggang Shen, Mingxia Liu:
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages. Medical Image Anal. 75: 102266 (2022) - [c7]Minhui Yu, Hao Guan, Yuqi Fang, Ling Yue, Mingxia Liu:
Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline. MICCAI (1) 2022: 24-33 - [i1]Hao Guan, Ling Yue, Pew-Thian Yap, Andrea Bozoki, Mingxia Liu:
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI. CoRR abs/2206.12480 (2022) - 2021
- [j1]Wei Xiong, Lei Zhou, Ling Yue, Lirong Li, Song Wang:
An enhanced binarization framework for degraded historical document images. EURASIP J. Image Video Process. 2021(1): 13 (2021) - [c6]Pengfei Wei, Yong Zhang, Ling Yue, Jialu Xu:
A Deep Learning Malicious Code Classification Method Combined with Texture Feature Extraction GSINET. AIPR 2021: 83-90 - [c5]Ling Yue, Yong Zhang, Pengfei Wei:
Euclidean and Rapid Jacobian-based Saliency Maps Attacks. ISKE 2021: 355-361 - [c4]Hao Guan, Yunbi Liu, Shifu Xiao, Ling Yue, Mingxia Liu:
Cost-Sensitive Meta-learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI. MICCAI (5) 2021: 248-258 - [c3]Wei Xiong, Ling Yue, Lei Zhou, Liying Wei, Min Li:
FD-Net: A Fully Dilated Convolutional Network for Historical Document Image Binarization. PRCV (1) 2021: 518-529 - 2020
- [c2]Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen:
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. MICCAI (7) 2020: 583-592
2010 – 2019
- 2019
- [c1]Aojie Li, Ling Yue, Manhua Liu, Shifu Xiao:
Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive Impairment. PRIME@MICCAI 2019: 134-141
Coauthor Index
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last updated on 2025-10-28 23:08 CET by the dblp team
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