Kunlun He

According to our database, Kunlun He authored at least 26 papers between 2018 and 2024.

Collaborative distances:

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

2024

Multi-task oriented diffusion model for mortality prediction in shock patients with incomplete data.

Weijie Zhao, Zihang Chen, Puguang Xie, Jinyang Liu, Siyu Hou, Liang Xu, Yuan Qiu, Dongdong Wu, Jingjing Xiao, Kunlun He

Inf. Fusion, May, 2024

An Energy Matching Vessel Segmentation Framework in 3-D Medical Images.

Pan Liu, Gao Huang, Jing Jing, Suyan Bian, Liuquan Cheng, Xin Yang Lu, Chongyou Rao, Yu Liu, Yun Hua, Yongjun Wang, Kunlun He

IEEE Trans. Medical Imaging, April, 2024

SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation.

Chen Lin, Zhenfeng Zhu, Yawei Zhao, Ying Zhang, Kunlun He, Yao Zhao

IEEE Trans. Medical Imaging, April, 2024

Performance Analysis of RIS-Assisted D2D Communication Under Nakagami-$m$ Fading.

Haitao Zhao, Yaxuan Liu, Yiyang Ni, Jin Zhou, Shen Qiao, Kunlun He

IEEE Trans. Veh. Technol., January, 2024

From Observation to Concept: A Flexible Multi-View Paradigm for Medical Report Generation.

Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yawei Zhao, Kunlun He, Yao Zhao

IEEE Trans. Multim., 2024

CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series.

Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deep unfolding based optimization framework of fractional programming for wireless communication systems.

Haitao Zhao, Zhiyuan Chen, Wenchao Xia, Kun Guo, Yiyang Ni, Kunlun He

Wirel. Networks, July, 2023

Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend.

Wendi Wu, Zongren Li, Yawei Zhao, Chen Yu, Peilin Zhao, Ji Liu, Kunlun He

ACM Trans. Intell. Syst. Technol., February, 2023

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery.

Yuxiao Cheng, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He

CoRR, 2023

Medical Federated Model with Mixture of Personalized and Sharing Components.

Yawei Zhao, Qinghe Liu, Xinwang Liu, Kunlun He

CoRR, 2023

CUTS: Neural Causal Discovery from Irregular Time-Series Data.

Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Real order total variation with applications to the loss functions in learning schemes.

Pan Liu, Xin Yang Lu, Kunlun He

CoRR, 2022

DeepKG: an end-to-end deep learning-based workflow for biomedical knowledge graph extraction, optimization and applications.

Zongren Li, Qin Zhong, Jing Yang, Yongjie Duan, Wenjun Wang, Chengkun Wu, Kunlun He

Bioinform., 2022

2021

Attention-Based Deep Recurrent Model for Survival Prediction.

Zhaohong Sun, Wei Dong, Jinlong Shi, Kunlun He, Zhengxing Huang

ACM Trans. Comput. Heal., 2021

HFIP: an integrated multi-omics data and knowledge platform for the precision medicine of heart failure.

Jing Wu, Min Zhao, Tao Li, Jinxiu Sun, Qi Chen, Chengliang Yin, Zhilong Jia, Chenghui Zhao, Gui Lin, Yuan Ni, Guotong Xie, Jinlong Shi, Kunlun He

Database J. Biol. Databases Curation, 2021

2020

On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records.

Huilong Duan, Zhoujian Sun, Wei Dong, Kunlun He, Zhengxing Huang

IEEE J. Biomed. Health Informatics, 2020

Treatment effect prediction with adversarial deep learning using electronic health records.

Jiebin Chu, Wei Dong, Jinliang Wang, Kunlun He, Zhengxing Huang

BMC Medical Informatics Decis. Mak., 2020

In-Hospital Mortality Prediction for Heart Failure Patients Using Electronic Health Records and an Improved Bagging Algorithm.

Binhua Wang, Xiao Ma, Yifei Wang, Wei Dong, Chengyu Liu, Yongyi Bai, Suyan Bian, Jun Ying, Xin Hu, Shanshan Wan, Wanguo Xue, Yaping Tian, Cheng Zhong, Yang Zhang, Kunlun He, Jiayue Li

J. Medical Imaging Health Informatics, 2020

Primary Categorizing and Masking Cerebral Small Vessel Disease Based on "Deep Learning System".

Yunyun Duan, Wei Shan, Liying Liu, Qun Wang, Zhenzhou Wu, Pan Liu, Jiahao Ji, Yaou Liu, Kunlun He, Yongjun Wang

Frontiers Neuroinformatics, 2020

Deep learning for digitizing highly noisy paper-based ECG records.

Yao Li, Qixun Qu, Meng Wang, Liheng Yu, Jun Wang, Linghao Shen, Kunlun He

Comput. Biol. Medicine, 2020

2019

Evidential MACE prediction of acute coronary syndrome using electronic health records.

Danqing Hu, Wei Dong, Xudong Lu, Huilong Duan, Kunlun He, Zhengxing Huang

BMC Medical Informatics Decis. Mak., 2019

Deep representation learning for individualized treatment effect estimation using electronic health records.

Peipei Chen, Wei Dong, Xudong Lu, Uzay Kaymak, Kunlun He, Zhengxing Huang

J. Biomed. Informatics, 2019

A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records.

Binhua Wang, Yongyi Bai, Zhenjie Yao, Jiangong Li, Wei Dong, Yanhui Tu, Wanguo Xue, Yaping Tian, Yifei Wang, Kunlun He

IEEE Access, 2019

2018

Probabilistic modeling personalized treatment pathways using electronic health records.

Zhengxing Huang, Zhenxiao Ge, Wei Dong, Kunlun He, Huilong Duan

J. Biomed. Informatics, 2018

Using neural attention networks to detect adverse medical events from electronic health records.

Jiebin Chu, Wei Dong, Kunlun He, Huilong Duan, Zhengxing Huang

J. Biomed. Informatics, 2018

Relational regularized risk prediction of acute coronary syndrome using electronic health records.

Zhengxing Huang, Zhenxiao Ge, Wei Dong, Kunlun He, Huilong Duan, Peter A. Bath

Inf. Sci., 2018