Ling Yue

43 papers A* 2B 3Misc 1Journal 25Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents.
CoRR
Ling Yue, Kushal Raj Bhandari, Ching-Yun Ko, Dhaval Patel, Shuxin Lin, Nianjun Zhou, Jianxi Gao, Pin-Yu Chen, Shaowu Pan
2026 J jnl
Functional imaging constrained diffusion for brain PET synthesis from structural MRI.
Medical Image Anal.
Minhui Yu, Mengqi Wu, Ling Yue, Andrea Bozoki, Mingxia Liu
2026 — conf
ReMe: Scaffolding Personalized Cognitive Training via Controllable LLM-Mediated Conversations.
CHI Extended Abstracts
Zilong Wang, Nan Chen, Luna K. Qiu, Ling Yue, Geli Guo, Yang Ou, Shiqi Jiang, Yuqing Yang, Lili Qiu
2026 J jnl
ToolRosetta: Bridging Open-Source Repositories and Large Language Model Agents through Automated Tool Standardization.
CoRR
Shimin Di, Xujie Yuan, Hanghui Guo, Chaoqian Ouyang, Zhangze Chen, Ling Yue, Libin Zheng, Jia Zhu, Shaowu Pan, Jian Yin, Min-Ling Zhang, Yong Rui
2025 J jnl
CFD-LLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics.
CoRR
Nithin Somasekharan, Ling Yue, Yadi Cao, Weichao Li, Patrick Emami, Pochinapeddi Sai Bhargav, Anurag Acharya, Xingyu Xie, Shaowu Pan
2025 J jnl
Code2MCP: Transforming Code Repositories into MCP Services.
CoRR
Chaoqian Ouyang, Ling Yue, Shimin Di, Libin Zheng, Linan Yue, Shaowu Pan, Jian Yin, Min-Ling Zhang
2025 A* conf
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning.
ICML
Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo
2025 J jnl
Foam-Agent 2.0: An End-to-End Composable Multi-Agent Framework for Automating CFD Simulation in OpenFOAM.
CoRR
Ling Yue, Nithin Somasekharan, Tingwen Zhang, Yadi Cao, Shaowu Pan
2025 J jnl
Foam-Agent: Towards Automated Intelligent CFD Workflows.
CoRR
Ling Yue, Nithin Somasekharan, Yadi Cao, Shaowu Pan
2025 J jnl
Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline.
Neural Networks
Minhui Yu, Yuqi Fang, Yunbi Liu, Andrea C. Bozoki, Shifu Xiao, Ling Yue, Mingxia Liu
2025 J jnl
Multi-level adaptive feature representation based on task augmentation for Cross-Domain Few-Shot learning.
Appl. Intell.
Ling Yue, Lin Feng, Qiuping Shuai, Zihao Li, Lingxiao Xu
2024 J jnl
BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba.
CoRR
Ling Yue, Sixue Xing, Yingzhou Lu, Tianfan Fu
2024 J jnl
CT-Agent: Clinical Trial Multi-Agent with Large Language Model-based Reasoning.
CoRR
Ling Yue, Tianfan Fu
2024 — conf
ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning.
BCB
Ling Yue, Sixue Xing, Jintai Chen, Tianfan Fu
2024 B conf
De-Redundancy Distillation And Feature Shift Correction For Cross-Domain Few-Shot Learning.
IJCNN
Qiuping Shuai, Lin Feng, Ling Yue, Zihao Li, Lingxiao Xu
2024 B conf
Diversified Task Augmentation with Redundancy Reduction for Cross-Domain Few-Shot Learning.
ICIP
Ling Yue, Lin Feng, Qiuping Shuai, Lingxiao Xu, Zihao Li
2024 B conf
Exploring Hierachical Neighbor Information Interaction for Few-Shot Knowledge Graph Completion.
IJCNN
Zihao Li, Lin Feng, Lingxiao Xu, Qiuping Shuai, Ling Yue
2024 J jnl
Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI.
CoRR
Minhui Yu, Mengqi Wu, Ling Yue, Andrea Bozoki, Mingxia Liu
2024 — conf
Learning Curve and Acceptability for Immersive VR Exergame Intervention Among Community-Dwelling Elderly Individuals in Shanghai: A Pilot Study.
HCI (68)
Jing Cao, Ling Yue, Siming Li, Zhiqiang Wu
2024 J jnl
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction.
CoRR
Bohao Xu, Yingzhou Lu, Chenhao Li, Ling Yue, Xiao Wang, Nan Hao, Tianfan Fu, Jim Chen
2024 J jnl
The Potential and Value of AI Chatbot in Personalized Cognitive Training.
CoRR
Zilong Wang, Nan Chen, Luna K. Qiu, Ling Yue, Geli Guo, Yang Ou, Shiqi Jiang, Yuqing Yang, Lili Qiu
2024 — conf
TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction.
BCB
Ling Yue, Sixue Xing, Jonathan Li, Md. Zabirul Islam, Bolun Xia, Jintai Chen, Tianfan Fu
2024 J jnl
TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction.
CoRR
Ling Yue, Jonathan Li, Md. Zabirul Islam, Bolun Xia, Tianfan Fu, Jintai Chen
2024 — conf
TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models.
BCB
Ling Yue, Sixue Xing, Jintai Chen, Tianfan Fu
2024 J jnl
TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models.
CoRR
Ling Yue, Sixue Xing, Jintai Chen, Tianfan Fu
2023 J jnl
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline With Structural MRI.
IEEE J. Biomed. Health Informatics
Hao Guan, Ling Yue, Pew-Thian Yap, Shifu Xiao, Andrea Bozoki, Mingxia Liu
2023 J jnl
Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network.
CoRR
Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2023 J jnl
Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network.
Nat. Comput. Sci.
Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2023 J jnl
Ensemble Learning for Graph Neural Networks.
CoRR
Zhen Hao Wong, Ling Yue, Quanming Yao
2023 — conf
Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Minhui Yu, Yunbi Liu, Jinjian Wu, Andrea Bozoki, Shijun Qiu, Ling Yue, Mingxia Liu
2023 A* conf
Relation-aware Ensemble Learning for Knowledge Graph Embedding.
EMNLP
Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2023 J jnl
Relation-aware Ensemble Learning for Knowledge Graph Embedding.
CoRR
Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2022 J jnl
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages.
Medical Image Anal.
Yunbi Liu, Ling Yue, Shifu Xiao, Wei Yang, Dinggang Shen, Mingxia Liu
2022 J jnl
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI.
CoRR
Hao Guan, Ling Yue, Pew-Thian Yap, Andrea Bozoki, Mingxia Liu
2022 J jnl
DSGAT: predicting frequencies of drug side effects by graph attention networks.
Briefings Bioinform.
Xianyu Xu, Ling Yue, Bingchun Li, Ying Liu, Yuan Wang, Wenjuan Zhang, Lin Wang
2022 — conf
Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline.
MICCAI (1)
Minhui Yu, Hao Guan, Yuqi Fang, Ling Yue, Mingxia Liu
2021 — conf
A Deep Learning Malicious Code Classification Method Combined with Texture Feature Extraction GSINET.
AIPR
Pengfei Wei, Yong Zhang, Ling Yue, Jialu Xu
2021 J jnl
An enhanced binarization framework for degraded historical document images.
EURASIP J. Image Video Process.
Wei Xiong, Lei Zhou, Ling Yue, Lirong Li, Song Wang
2021 — conf
Cost-Sensitive Meta-learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI.
MICCAI (5)
Hao Guan, Yunbi Liu, Shifu Xiao, Ling Yue, Mingxia Liu
2021 Misc conf
Euclidean and Rapid Jacobian-based Saliency Maps Attacks.
ISKE
Ling Yue, Yong Zhang, Pengfei Wei
2021 — conf
FD-Net: A Fully Dilated Convolutional Network for Historical Document Image Binarization.
PRCV (1)
Wei Xiong, Ling Yue, Lei Zhou, Liying Wei, Min Li
2020 — conf
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline.
MICCAI (7)
Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen
2019 — conf
Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive Impairment.
PRIME@MICCAI
Aojie Li, Ling Yue, Manhua Liu, Shifu Xiao