Relational regularized risk prediction of acute coronary syndrome using electronic health records. - Zhengxing Huang; Zhenxiao Ge; Wei Dong 005; Kunlun He; Huilong Duan; Peter A. Bath (Inf. Sci., 2018)

Using neural attention networks to detect adverse medical events from electronic health records. - Jiebin Chu; Wei Dong 005; Kunlun He; Huilong Duan; Zhengxing Huang (J. Biomed. Informatics, 2018)

Probabilistic modeling personalized treatment pathways using electronic health records. - Zhengxing Huang; Zhenxiao Ge; Wei Dong 005; Kunlun He; Huilong Duan (J. Biomed. Informatics, 2018)

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 005; Yanhui Tu; Wanguo Xue; Yaping Tian; Yifei Wang; Kunlun He (IEEE Access, 2019)

Deep representation learning for individualized treatment effect estimation using electronic health records. - Peipei Chen; Wei Dong 005; Xudong Lu; Uzay Kaymak; Kunlun He; Zhengxing Huang (J. Biomed. Informatics, 2019)

Evidential MACE prediction of acute coronary syndrome using electronic health records. - Danqing Hu; Wei Dong 005; Xudong Lu; Huilong Duan; Kunlun He; Zhengxing Huang (BMC Medical Informatics Decis. Mak., 2019)

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)

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)

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 005; Chengyu Liu 001; Yongyi Bai; Suyan Bian; Jun Ying; Xin Hu; Shanshan Wan; Wanguo Xue; Yaping Tian; et al. (J. Medical Imaging Health Informatics, 2020)

Treatment effect prediction with adversarial deep learning using electronic health records. - Jiebin Chu; Wei Dong 005; Jinliang Wang; Kunlun He; Zhengxing Huang (BMC Medical Informatics Decis. Mak., 2020)

On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records. - Huilong Duan; Zhoujian Sun; Wei Dong 005; Kunlun He; Zhengxing Huang (IEEE J. Biomed. Health Informatics, 2020)

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; et al. (Database J. Biol. Databases Curation, 2021)

Attention-Based Deep Recurrent Model for Survival Prediction. - Zhaohong Sun 003; Wei Dong 005; Jinlong Shi; Kunlun He; Zhengxing Huang (ACM Trans. Comput. Heal., 2021)

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)

Real order total variation with applications to the loss functions in learning schemes. - Pan Liu; Xin Yang Lu; Kunlun He (CoRR, 2022)

CUTS: Neural Causal Discovery from Irregular Time-Series Data. - Yuxiao Cheng; Runzhao Yang; Tingxiong Xiao; Zongren Li; Jinli Suo; Kunlun He; Qionghai Dai (ICLR, 2023)

Medical Federated Model with Mixture of Personalized and Sharing Components. - Yawei Zhao; Qinghe Liu; Xinwang Liu 002; Kunlun He (CoRR, 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 003; Peilin Zhao; Ji Liu; Kunlun He (ACM Trans. Intell. Syst. Technol., 2023)

Deep unfolding based optimization framework of fractional programming for wireless communication systems. - Haitao Zhao 004; Zhiyuan Chen; Wenchao Xia; Kun Guo 002; Yiyang Ni; Kunlun He (Wirel. Networks, 2023)

CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series. - Yuxiao Cheng; Lianglong Li; Tingxiong Xiao; Zongren Li; Jinli Suo; Kunlun He; Qionghai Dai (AAAI, 2024)

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery. - Yuxiao Cheng; Ziqian Wang; Tingxiong Xiao; Qin Zhong; Jinli Suo; Kunlun He (ICLR, 2024)

FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction. - Muhao Xu; Zhenfeng Zhu; Youru Li; Shuai Zheng 005; Yawei Zhao; Kunlun He; Yao Zhao 001 (KDD, 2024)

Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering. - Suyuan Liu; Siwei Wang 001; Ke Liang 006; Junpu Zhang; Zhibin Dong; Tianrui Liu 001; En Zhu; Xinwang Liu 002; Kunlun He (NeurIPS, 2024)

VesselTransGAN to CT Imaging: A Contrast Medium Free CTA Solution. - Yun Hua; Suyan Bian; Pan Liu; Shaodong Zhu; Jing Jing 002; Yan Zhuang; Menglu Li; Xu Chen; Chongyou Rao; Xiaoyu Jin; Kunlun He (IEEE Access, 2024)

scEGG: an exogenous gene-guided clustering method for single-cell transcriptomic data. - Dayu Hu; Renxiang Guan; Ke Liang 006; Hao Yu; Hao Quan; Yawei Zhao; Xinwang Liu 002; Kunlun He (Briefings Bioinform., 2024)

Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data. - Dayu Hu; Ke Liang 006; Zhibin Dong; Jun Wang 118; Yawei Zhao; Kunlun He (Briefings Bioinform., 2024)

UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation. - Runzhao Yang; Yinda Chen; Zhihong Zhang 004; Xiaoyu Liu; Zongren Li; Kunlun He; Zhiwei Xiong; Jinli Suo; Qionghai Dai (CoRR, 2024)

Active-Passive Federated Learning for Vertically Partitioned Multi-view Data. - Jiyuan Liu 003; Xinwang Liu 002; Siqi Wang 001; Xingchen Hu; Qing Liao 001; Xinhang Wan; Yi Zhang 104; Xin Lv; Kunlun He (CoRR, 2024)

A Joint Representation Using Continuous and Discrete Features for Cardiovascular Diseases Risk Prediction on Chest CT Scans. - Minfeng Xu; Chen-Chen Fan; Yan-Jie Zhou; Wenchao Guo; Pan Liu; Jing Qi; Le Lu 001; Hanqing Chao; Kunlun He (CoRR, 2024)

Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion. - Wenqi Yang; Minhui Wang; Chang Tang; Xiao Zheng; Xinwang Liu 002; Kunlun He (Inf. Fusion, 2024)

RedCDR: Dual Relation Distillation for Cancer Drug Response Prediction. - Muhao Xu; Zhenfeng Zhu; Yawei Zhao; Kunlun He; Qinghua Huang; Yao Zhao 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

From Observation to Concept: A Flexible Multi-View Paradigm for Medical Report Generation. - Zhizhe Liu; Zhenfeng Zhu; Shuai Zheng 005; Yawei Zhao; Kunlun He; Yao Zhao 001 (IEEE Trans. Multim., 2024)

Performance Analysis of RIS-Assisted D2D Communication Under Nakagami-$m$ Fading. - Haitao Zhao 004; Yaxuan Liu; Yiyang Ni; Jin Zhou 007; Shen Qiao 002; Kunlun He (IEEE Trans. Veh. Technol., 2024)

SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation. - Chen Lin; Zhenfeng Zhu; Yawei Zhao; Ying Zhang 015; Kunlun He; Yao Zhao 001 (IEEE Trans. Medical Imaging, 2024)

An Energy Matching Vessel Segmentation Framework in 3-D Medical Images. - Pan Liu; Gao Huang 001; Jing Jing 002; Suyan Bian; Liuquan Cheng; Xin Yang Lu; Chongyou Rao; Yu Liu; Yun Hua; Yongjun Wang; Kunlun He (IEEE Trans. Medical Imaging, 2024)

Multi-task oriented diffusion model for mortality prediction in shock patients with incomplete data. - Weijie Zhao 012; Zihang Chen; Puguang Xie; Jinyang Liu; Siyu Hou; Liang Xu; Yuan Qiu 009; Dongdong Wu; Jingjing Xiao; Kunlun He (Inf. Fusion, 2024)

Symmetric Multi-View Subspace Clustering With Automatic Neighbor Discovery. - Huimin Ma; Siwei Wang 001; Junpu Zhang; Shengju Yu; Suyuan Liu; Xinwang Liu 002; Kunlun He (IEEE Trans. Circuits Syst. Video Technol., 2024)

Performance Analysis of RIS Assisted D2D Communication Systems Under Beamforming and Interference Cancellation. - Yaxuan Liu; Yiyang Ni; Haitao Zhao 004; Jin Zhou 007; Hongbo Zhu 002; Shen Qiao 002; Kunlun He (IEEE Trans. Intell. Transp. Syst., 2024)

On the Consistency and Large-Scale Extension of Multiple Kernel Clustering. - Weixuan Liang; Chang Tang; Xinwang Liu 002; Yong Liu 018; Jiyuan Liu 003; En Zhu; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning. - Yan Zhuang; Junyan Zhang; Ruogu Lu; Kunlun He; Xiuxing Li (ACM Trans. Intell. Syst. Technol., 2024)

RARE: Robust Masked Graph Autoencoder. - Wenxuan Tu; Qing Liao 001; Sihang Zhou 001; Xin Peng; Chuan Ma 001; Zhe Liu 001; Xinwang Liu 002; Zhiping Cai; Kunlun He (IEEE Trans. Knowl. Data Eng., 2024)

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Fuchun Sun 001; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Multi-View Adaptive Fusion Network for Spatially Resolved Transcriptomics Data Clustering. - Yanran Zhu; Xiao He 010; Chang Tang; Xinwang Liu 002; Yuanyuan Liu 004; Kunlun He (IEEE Trans. Knowl. Data Eng., 2024)

KAS: A Kernel Alignment-Based Sampling Probability Approach for Medical Data Valuation. - Mingming Jiang; Qinghe Liu; Hongli Xu; Wenting Liao; Rilige Wu; Longji Li; Yawei Zhao; Kunlun He (IEEE Access, 2025)

GDReCo: Fine-grained gene-disease relationship extraction corpus. - Hui Yu; Jing Wu; Suyan Bian; Sheng Zhang; Yibin Wu; Ziyan Zhou; Qian Jia; Yuan Ni; Zhengxing Huang; Huiyu Yan; Weidong Wang; Kunlun He; et al. (Comput. Methods Programs Biomed., 2025)

An intelligent transmission method for multimodal data streams in telemedicine based on multi-path transmission over wide area network. - Yue Tong; Lyu Li; Siyuan Li; Lei Wang; Jun Ma; Ting Lyu; Kunlun He (Frontiers Commun. Networks, 2025)

BMCST: Balanced multi-view clustering for spatially resolved transcriptomics with Mamba-driven dynamic feature refinement. - Yanran Zhu; Xiao Zheng; Xiao He 010; Xin Zou 001; Peihong Wang; Chang Tang; Xinwang Liu 002; Kunlun He (Inf. Fusion, 2025)

AgentMario: A Multitask Agent for Robotic Interaction With Locker Systems. - Haimo Zhang; Ting Lyu; Hong Li; Yishan Liu; Zibo Gao; Yan Yu; Can Wang; Lindsay Wang; Yuejia Zhang; Kunlun He; Kaigui Bian (IEEE Internet Things J., 2025)

KoSEL: Knowledge subgraph enhanced large language model for medical question answering. - Zefan Zeng; Qing Cheng 004; Xingchen Hu; Yan Zhuang; Xinwang Liu 002; Kunlun He; Zhong Liu 002 (Knowl. Based Syst., 2025)

MGKsite: Multi-Modal Knowledge-Driven Site Selection via Intra and Inter-Modal Graph Fusion. - Ke Liang 006; Lingyuan Meng; Hao Li 025; Meng Liu 014; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Kunlun He (IEEE Trans. Multim., 2025)

Medical Federated Model With Mixture of Personalized and Shared Components. - Yawei Zhao; Qinghe Liu; Pan Liu; Xinwang Liu 002; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care. - Yuxiao Cheng; Xinxin Song 001; Ziqian Wang; Qin Zhong; Kunlun He; Jinli Suo (CoRR, 2025)

Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance. - Jiaqi Jin; Siwei Wang 001; Zhibin Dong; Xihong Yang; Xinwang Liu 002; En Zhu; Kunlun He (CoRR, 2025)

Automated echocardiogram image quality assessment with YOLO and resnet in the left ventricular myocardium of A4C views. - Weiyang Liu; Qiushuang Wang; Peifang Zhang; Yujiao Deng; Yawei Zhao; Yongming Zhang; Hongli Xu; Xiaowan Qiu; Xu Chen; Jiayu Xu; Kunlun He (Appl. Intell., 2025)

Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment. - Meng Liu 014; Ke Liang 006; Yawei Zhao; Wenxuan Tu; Sihang Zhou 001; Xinbiao Gan; Xinwang Liu 002; Kunlun He (IEEE Trans. Neural Networks Learn. Syst., 2025)

Scalable Multi-View Graph Clustering With Cross-View Corresponding Anchor Alignment. - Siwei Wang 001; Xinwang Liu 002; Qing Liao 001; Yi Wen 001; En Zhu; Kunlun He (IEEE Trans. Knowl. Data Eng., 2025)

Dynamic Graph Condensation. - Dong Chen; Shuai Zheng 005; Yeyu Yan; Muhao Xu; Zhenfeng Zhu; Yao Zhao 001; Kunlun He (CoRR, 2025)

Angio-Diff: Learning a Self-Supervised Adversarial Diffusion Model for Angiographic Geometry Generation. - Zhifeng Wang; Renjiao Yi; Xin Wen 005; Chenyang Zhu 002; Kai Xu 004; Kunlun He (CoRR, 2025)

Dynamic Prediction and Intervention of Serum Sodium in Patients with Stroke Based on Attention Mechanism Model. - Xiao Lu; Hongli Xu; Wei Dong; Yi Xin 001; Jiang Zhu; Xingkang Lin; Yan Zhuang; Hebin Che; Qin Li; Kunlun He (J. Heal. Informatics Res., 2025)

Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery. - Xinhang Wan; Jiyuan Liu 003; Qian Qu; Suyuan Liu; Chuyu Zhang; Fangdi Wang; Xinwang Liu 002; En Zhu; Kunlun He (CoRR, 2025)

WAGE: Weight-Sharing Attribute-Missing Graph Autoencoder. - Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Zhiping Cai; Yawei Zhao; Yue Liu 008; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Edge-guided conditional diffusion model for multi-contrast MRI super-resolution. - Guoning Chen; Zhenfeng Zhu; Zhizhe Liu; Chen Lin; Shuai Zheng 005; Hongli Xu; Yao Zhao 001; Kunlun He (Inf. Fusion, 2026)