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Kunlun He
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2020 – today
- 2024
- [j28]Yun Hua
, Suyan Bian, Pan Liu, Shaodong Zhu, Jing Jing, Yan Zhuang, Menglu Li, Xu Chen, Chongyou Rao
VesselTransGAN to CT Imaging: A Contrast Medium Free CTA Solution. IEEE Access 12: 129917-129926 (2024) - [j27]Weijie Zhao, Zihang Chen, Puguang Xie, Jinyang Liu, Siyu Hou, Liang Xu, Yuan Qiu, Dongdong Wu
Multi-task oriented diffusion model for mortality prediction in shock patients with incomplete data. Inf. Fusion 105: 102207 (2024) - [j26]Wenqi Yang, Minhui Wang, Chang Tang
Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion. Inf. Fusion 107: 102323 (2024) - [j25]Weixuan Liang
On the Consistency and Large-Scale Extension of Multiple Kernel Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6935-6947 (2024) - [j24]Muhao Xu
RedCDR: Dual Relation Distillation for Cancer Drug Response Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1468-1479 (2024) - [j23]Huimin Ma
Symmetric Multi-View Subspace Clustering With Automatic Neighbor Discovery. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8766-8778 (2024) - [j22]Yaxuan Liu
Performance Analysis of RIS Assisted D2D Communication Systems Under Beamforming and Interference Cancellation. IEEE Trans. Intell. Transp. Syst. 25(9): 10851-10865 (2024) - [j21]Wenxuan Tu
RARE: Robust Masked Graph Autoencoder. IEEE Trans. Knowl. Data Eng. 36(10): 5340-5353 (2024) - [j20]Chen Lin
SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation. IEEE Trans. Medical Imaging 43(4): 1337-1346 (2024) - [j19]Pan Liu
An Energy Matching Vessel Segmentation Framework in 3-D Medical Images. IEEE Trans. Medical Imaging 43(4): 1476-1488 (2024) - [j18]Zhizhe Liu
From Observation to Concept: A Flexible Multi-View Paradigm for Medical Report Generation. IEEE Trans. Multim. 26: 5987-5995 (2024) - [j17]Haitao Zhao
Performance Analysis of RIS-Assisted D2D Communication Under Nakagami-$m$ Fading. IEEE Trans. Veh. Technol. 73(1): 1447-1452 (2024) - [c4]Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai:
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series. AAAI 2024: 11525-11533 - [c3]Yuxiao Cheng, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He:
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery. ICLR 2024 - [c2]Muhao Xu
FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction. KDD 2024: 3610-3620 - [i8]Runzhao Yang, Yinda Chen, Zhihong Zhang, Xiaoyu Liu, Zongren Li, Kunlun He, Zhiwei Xiong, Jinli Suo, Qionghai Dai:
UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation. CoRR abs/2405.16850 (2024) - [i7]Muhao Xu, Zhenfeng Zhu, Youru Li, Shuai Zheng, Yawei Zhao, Kunlun He, Yao Zhao:
FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction. CoRR abs/2406.11928 (2024) - [i6]Jiyuan Liu, Xinwang Liu, Siqi Wang, Xingchen Hu, Qing Liao, Xinhang Wan, Yi Zhang, Xin Lv, Kunlun He:
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data. CoRR abs/2409.04111 (2024) - 2023
- [j16]Wendi Wu
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend. ACM Trans. Intell. Syst. Technol. 14(1): 13:1-13:22 (2023) - [j15]Haitao Zhao
Deep unfolding based optimization framework of fractional programming for wireless communication systems. Wirel. Networks 29(5): 2313-2320 (2023) - [c1]Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai:
CUTS: Neural Causal Discovery from Irregular Time-Series Data. ICLR 2023 - [i5]Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai:
CUTS: Neural Causal Discovery from Irregular Time-Series Data. CoRR abs/2302.07458 (2023) - [i4]Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai:
CUTS+: High-dimensional Causal Discovery from Irregular Time-series. CoRR abs/2305.05890 (2023) - [i3]Yawei Zhao, Qinghe Liu, Xinwang Liu, Kunlun He:
Medical Federated Model with Mixture of Personalized and Sharing Components. CoRR abs/2306.14483 (2023) - [i2]Yuxiao Cheng, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He:
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery. CoRR abs/2310.01753 (2023) - 2022
- [j14]Zongren Li
DeepKG: an end-to-end deep learning-based workflow for biomedical knowledge graph extraction, optimization and applications. Bioinform. 38(5): 1477-1479 (2022) - [i1]Pan Liu, Xin Yang Lu, Kunlun He:
Real order total variation with applications to the loss functions in learning schemes. CoRR abs/2204.04582 (2022) - 2021
- [j13]Jing Wu, Min Zhao, Tao Li, Jinxiu Sun, Qi Chen, Chengliang Yin
HFIP: an integrated multi-omics data and knowledge platform for the precision medicine of heart failure. Database J. Biol. Databases Curation 2021 (2021) - [j12]Zhaohong Sun
Attention-Based Deep Recurrent Model for Survival Prediction. ACM Trans. Comput. Heal. 2(4): 35:1-35:18 (2021) - 2020
- [j11]Yao Li, Qixun Qu, Meng Wang, Liheng Yu, Jun Wang, Linghao Shen, Kunlun He
Deep learning for digitizing highly noisy paper-based ECG records. Comput. Biol. Medicine 127: 104077 (2020) - [j10]Yunyun Duan, Wei Shan, Liying Liu, Qun Wang, Zhenzhou Wu, Pan Liu, Jiahao Ji, Yaou Liu, Kunlun He
Primary Categorizing and Masking Cerebral Small Vessel Disease Based on "Deep Learning System". Frontiers Neuroinformatics 14: 17 (2020) - [j9]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
In-Hospital Mortality Prediction for Heart Failure Patients Using Electronic Health Records and an Improved Bagging Algorithm. J. Medical Imaging Health Informatics 10(5): 998-1004 (2020) - [j8]Jiebin Chu, Wei Dong, Jinliang Wang, Kunlun He
Treatment effect prediction with adversarial deep learning using electronic health records. BMC Medical Informatics Decis. Mak. 20-S(4): 139 (2020) - [j7]Huilong Duan, Zhoujian Sun
On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records. IEEE J. Biomed. Health Informatics 24(7): 2053-2063 (2020)
2010 – 2019
- 2019
- [j6]Binhua Wang, Yongyi Bai, Zhenjie Yao, Jiangong Li, Wei Dong, Yanhui Tu
A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records. IEEE Access 7: 178392-178400 (2019) - [j5]Peipei Chen
Deep representation learning for individualized treatment effect estimation using electronic health records. J. Biomed. Informatics 100 (2019) - [j4]Danqing Hu
Evidential MACE prediction of acute coronary syndrome using electronic health records. BMC Medical Informatics Decis. Mak. 19-S(2): 9-17 (2019) - 2018
- [j3]Zhengxing Huang, Zhenxiao Ge, Wei Dong, Kunlun He
Relational regularized risk prediction of acute coronary syndrome using electronic health records. Inf. Sci. 465: 118-129 (2018) - [j2]Zhengxing Huang
Probabilistic modeling personalized treatment pathways using electronic health records. J. Biomed. Informatics 86: 33-48 (2018) - [j1]Jiebin Chu, Wei Dong, Kunlun He
Using neural attention networks to detect adverse medical events from electronic health records. J. Biomed. Informatics 87: 118-130 (2018)
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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