Junyu Luo

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 38

Top Topics

Multitask Learning

Electronic Health Records

Data Extraction

Top Venues

Publications

Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang
A Survey of Data-Efficient Graph Learning. CoRR (2024)
Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui
Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. ICDE (2024)
Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma
pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data. CIKM (2023)
Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma
ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. CIKM (2023)
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma
Hierarchical Pretraining on Multimodal Electronic Health Records. CoRR (2023)
Junyu Luo, Cao Xiao, Fenglong Ma
Zero-Resource Hallucination Prevention for Large Language Models. CoRR (2023)
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma
Hierarchical Pretraining on Multimodal Electronic Health Records. EMNLP (2023)
Erfan Mohagheghian, Junyu Luo, F. Max Yavitt, Fuxiang Wei, Parth Bhala, Kshitij Amar, Fazlur Rashid, Yuzheng Wang, Xingchen Liu, Chenyang Ji, Junwei Chen, David P. Arnold, Zhen Liu, Kristi S. Anseth, Ning Wang
Quantifying stiffness and forces of tumor colonies and embryos using a magnetic microrobot. Sci. Robotics 8 (74) (2023)
Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. BIBM (2022)
Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui, Fenglong Ma
Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation. COLING (2022)
Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma
MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. ICDM (2022)
Junyu Luo, Jiahui Fu, Xianghao Kong, Chen Gao, Haibing Ren, Hao Shen, Huaxia Xia, Si Liu
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection. CVPR (2022)
Junyu Luo, Jiahui Fu, Xianghao Kong, Chen Gao, Haibing Ren, Hao Shen, Huaxia Xia, Si Liu
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection. CoRR (2022)
Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma
Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) (2021)
Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. CoRR (2021)
Dailan He, Yusheng Zhao, Junyu Luo, Tianrui Hui, Shaofei Huang, Aixi Zhang, Si Liu
TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding. CoRR (2021)
Junyu Luo, Zekun Li, Jinpeng Wang, Chin-Yew Lin
ChartOCR: Data Extraction from Charts Images via a Deep Hybrid Framework. WACV (2021)
Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. CIKM (2021)
Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. WWW (2021)
Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. CIKM (2021)
Dailan He, Yusheng Zhao, Junyu Luo, Tianrui Hui, Shaofei Huang, Aixi Zhang, Si Liu
TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding. ACM Multimedia (2021)
Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. CoRR (2021)
Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun
Advances in Mining Heterogeneous Healthcare Data. KDD (2021)
Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma
HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. KDD (2020)
Junyu Luo, Jinpeng Wang, Chin-Yew Lin
Hybrid Cascade Point Search Network for High Precision Bar Chart Component Detection. ICPR (2020)
Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen
Accelerating CNN Training by Pruning Activation Gradients. ECCV (25) (2020)
Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao
SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. DAC (2020)
Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma
A Benchmark Dataset for Understandable Medical Language Translation. CoRR (2020)
Xiaoxu Yang, Changhong Yang, Xianing Zheng, Luoxing Xiong, Yutian Tao, Meng Wang, Adam Yongxin Ye, Qixi Wu, Yanmei Dou, Junyu Luo, Liping Wei, August Yue Huang
MosaicBase: A Knowledgebase of Postzygotic Mosaic Variants in Noncancer Disease-related and Healthy Human Individuals. Genom. Proteom. Bioinform. 18 (2) (2020)
Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao
SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. CoRR (2020)
Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma
LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. CIKM (2020)
Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma
FedSemi: An Adaptive Federated Semi-Supervised Learning Framework. CoRR (2020)
Changqin Huang, Jia Zhu, Yuzhi Liang, Min Yang, Gabriel Pui Cheong Fung, Junyu Luo
An efficient automatic multiple objectives optimization feature selection strategy for internet text classification. Int. J. Mach. Learn. Cybern. 10 (5) (2019)
Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai
Learning Document Embeddings with Crossword Prediction. AAAI (2019)
Junyu Luo, Ying Shen, Xiang Ao, Zhou Zhao, Min Yang
Cross-modal Image-Text Retrieval with Multitask Learning. CIKM (2019)
Zhile Jiang, Shuai Yu, Qiang Qu, Min Yang, Junyu Luo, Juncheng Liu
Multi-task Learning for Author Profiling with Hierarchical Features. WWW (Companion Volume) (2018)
Junyu Luo, Yong Xu, Chenwei Tang, Jiancheng Lv
Learning Inverse Mapping by AutoEncoder Based Generative Adversarial Nets. ICONIP (2) (2017)
Junyu Luo
Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets. CoRR (2017)