Junyu Luo

According to our database, Junyu Luo authored at least 28 papers between 2017 and 2024.

Collaborative distances:

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

2024

Clinical Trial Retrieval via Multi-grained Similarity Learning.

Junyu Luo, Cheng Qian, Lucas Glass, Fenglong Ma

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Recent Advances in Predictive Modeling with Electronic Health Records.

Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Zero-Resource Hallucination Prevention for Large Language Models.

Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning.

Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources.

Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Hierarchical Pretraining on Multimodal Electronic Health Records.

Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data.

Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons.

Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data.

Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma

Proceedings of the IEEE International Conference on Data Mining, 2022

Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation.

Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui, Fenglong Ma

Proceedings of the 29th International Conference on Computational Linguistics, 2022

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.

Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.

Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma

CoRR, 2021

MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths.

Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the WWW '21: The Web Conference 2021, 2021

ChartOCR: Data Extraction from Charts Images via a Deep Hybrid Framework.

Junyu Luo, Zekun Li, Jinpeng Wang, Chin-Yew Lin

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Advances in Mining Heterogeneous Healthcare Data.

Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text.

Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Fusion: Towards Automated ICD Coding via Feature Compression.

Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

FedSemi: An Adaptive Federated Semi-Supervised Learning Framework.

Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma

CoRR, 2020

A Benchmark Dataset for Understandable Medical Language Translation.

Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma

CoRR, 2020

HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records.

Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Hybrid Cascade Point Search Network for High Precision Bar Chart Component Detection.

Junyu Luo, Jinpeng Wang, Chin-Yew Lin

Proceedings of the 25th International Conference on Pattern Recognition, 2020

LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction.

Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

An efficient automatic multiple objectives optimization feature selection strategy for internet text classification.

Changqin Huang, Jia Zhu, Yuzhi Liang, Min Yang, Gabriel Pui Cheong Fung, Junyu Luo

Int. J. Mach. Learn. Cybern., 2019

Cross-modal Image-Text Retrieval with Multitask Learning.

Junyu Luo, Ying Shen, Xiang Ao, Zhou Zhao, Min Yang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning Document Embeddings with Crossword Prediction.

Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multi-task Learning for Author Profiling with Hierarchical Features.

Zhile Jiang, Shuai Yu, Qiang Qu, Min Yang, Junyu Luo, Juncheng Liu

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets.

Junyu Luo

CoRR, 2017

Learning Inverse Mapping by AutoEncoder Based Generative Adversarial Nets.

Junyu Luo, Yong Xu, Chenwei Tang, Jiancheng Lv

Proceedings of the Neural Information Processing - 24th International Conference, 2017