Kunlun He - RankMe

78 papers A* 8Journal 70

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Wolf in Sheep's Clothing: Unveiling a Stealthy Backdoor Attack in Subgraph Federated Learning. IEEE Trans. Inf. Forensics Secur. Hao Yu, Wenjing Yang, Chuan Ma, Lingyuan Meng, Liang Du, Tao Xiang, Xinwang Liu, Kunlun He
2026	J	`jnl`	Communication-Efficient Federated Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Jiyuan Liu, Xinwang Liu, Siqi Wang, Xinhang Wan, Dongsheng Li, Kai Lu, Kunlun He
2026	J	`jnl`	Development and validation of predictive models for prognostic assessment in patients with acute non-ST-segment elevation myocardial infarction: a multicentre real-world study from China. BMC Medical Informatics Decis. Mak. Chongyou Rao, Wanling Wang, Hebin Che, Qin Zhong, Zongren Li, Wei Liu, Liqiang Fu, Wei Qin, Jixian Gao, Bo Liu, Kunlun He
2026	J	`jnl`	Edge-guided conditional diffusion model for multi-contrast MRI super-resolution. Inf. Fusion Guoning Chen, Zhenfeng Zhu, Zhizhe Liu, Chen Lin, Shuai Zheng, Hongli Xu, Yao Zhao, Kunlun He
2026	J	`jnl`	Enhanced biorthogonal wavelet transform via Catmull-Clark subdivision for efficient 3D modeling. Vis. Comput. Huayuan Guo, Weiyang Liu, Ping Hu, MinShi Kang, Hongcheng Tian, Kunlun He
2026	J	`jnl`	Medical Federated Learning with Improved Representation and Personalized Aggregation. ACM Trans. Knowl. Discov. Data Qinghe Liu, Mingming Jiang, Pin Wang, Hongli Xu, Rilige Wu, Zhenfeng Zhu, Xinwang Liu, Yawei Zhao, Kunlun He
2025	J	`jnl`	AgentMario: A Multitask Agent for Robotic Interaction With Locker Systems. IEEE Internet Things J. Haimo Zhang, Ting Lyu, Hong Li, Yishan Liu, Zibo Gao, Yan Yu, Can Wang, Lindsay Wang, Yuejia Zhang, Kunlun He, Kaigui Bian
2025	J	`jnl`	An intelligent transmission method for multimodal data streams in telemedicine based on multi-path transmission over wide area network. Frontiers Commun. Networks Yue Tong, Lyu Li, Siyuan Li, Lei Wang, Jun Ma, Ting Lyu, Kunlun He
2025	J	`jnl`	Angio-Diff: Learning a Self-Supervised Adversarial Diffusion Model for Angiographic Geometry Generation. CoRR Zhifeng Wang, Renjiao Yi, Xin Wen, Chenyang Zhu, Kai Xu, Kunlun He
2025	J	`jnl`	Angio-Diff: learning a self-supervised adversarial diffusion model for angiographic geometry generation. Vis. Comput. Zhifeng Wang, Renjiao Yi, Xin Wen, Chenyang Zhu, Kai Xu, Kunlun He
2025	J	`jnl`	Automated echocardiogram image quality assessment with YOLO and resnet in the left ventricular myocardium of A4C views. Appl. Intell. Weiyang Liu, Qiushuang Wang, Peifang Zhang, Yujiao Deng, Yawei Zhao, Yongming Zhang, Hongli Xu, Xiaowan Qiu, Xu Chen, Jiayu Xu, Kunlun He
2025	J	`jnl`	BMCST: Balanced multi-view clustering for spatially resolved transcriptomics with Mamba-driven dynamic feature refinement. Inf. Fusion Yanran Zhu, Xiao Zheng, Xiao He, Xin Zou, Peihong Wang, Chang Tang, Xinwang Liu, Kunlun He
2025	J	`jnl`	Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care. CoRR Yuxiao Cheng, Xinxin Song, Ziqian Wang, Qin Zhong, Kunlun He, Jinli Suo
2025	A*	`conf`	DVI: A Derivative-based Vision Network for INR. ICML Runzhao Yang, Xiaolong Wu, Zhihong Zhang, Fabian Zhang, Tingxiong Xiao, Zongren Li, Kunlun He, Jinli Suo
2025	J	`jnl`	Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance. CoRR Jiaqi Jin, Siwei Wang, Zhibin Dong, Xihong Yang, Xinwang Liu, En Zhu, Kunlun He
2025	J	`jnl`	Dynamic Graph Condensation. CoRR Dong Chen, Shuai Zheng, Yeyu Yan, Muhao Xu, Zhenfeng Zhu, Yao Zhao, Kunlun He
2025	J	`jnl`	Dynamic Prediction and Intervention of Serum Sodium in Patients with Stroke Based on Attention Mechanism Model. J. Heal. Informatics Res. Xiao Lu, Hongli Xu, Wei Dong, Yi Xin, Jiang Zhu, Xingkang Lin, Yan Zhuang, Hebin Che, Qin Li, Kunlun He
2025	J	`jnl`	GDReCo: Fine-grained gene-disease relationship extraction corpus. Comput. Methods Programs Biomed. Hui Yu, Jing Wu, Suyan Bian, Sheng Zhang, Yibin Wu, Ziyan Zhou, Qian Jia, Yuan Ni, Zhengxing Huang, Huiyu Yan, Weidong Wang, Kunlun He, Jinlong Shi
2025	J	`jnl`	Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence. CoRR Xihong Yang, Siwei Wang, Jiaqi Jin, Fangdi Wang, Tianrui Liu, Yueming Jin, Xinwang Liu, En Zhu, Kunlun He
2025	J	`jnl`	Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery. CoRR Xinhang Wan, Jiyuan Liu, Qian Qu, Suyuan Liu, Chuyu Zhang, Fangdi Wang, Xinwang Liu, En Zhu, Kunlun He
2025	J	`jnl`	KAS: A Kernel Alignment-Based Sampling Probability Approach for Medical Data Valuation. IEEE Access Mingming Jiang, Qinghe Liu, Hongli Xu, Wenting Liao, Rilige Wu, Longji Li, Yawei Zhao, Kunlun He
2025	J	`jnl`	KoSEL: Knowledge subgraph enhanced large language model for medical question answering. Knowl. Based Syst. Zefan Zeng, Qing Cheng, Xingchen Hu, Yan Zhuang, Xinwang Liu, Kunlun He, Zhong Liu
2025	A*	`conf`	Learning the Anchors with Similar Distributions to Original Data for Multi-view Clustering. ACM Multimedia Junpu Zhang, Shengju Yu, Suyuan Liu, Siwei Wang, Miaomiao Li, Xinwang Liu, En Zhu, Kunlun He
2025	J	`jnl`	MGKsite: Multi-Modal Knowledge-Driven Site Selection via Intra and Inter-Modal Graph Fusion. IEEE Trans. Multim. Ke Liang, Lingyuan Meng, Hao Li, Meng Liu, Siwei Wang, Sihang Zhou, Xinwang Liu, Kunlun He
2025	J	`jnl`	Medical Federated Model With Mixture of Personalized and Shared Components. IEEE Trans. Pattern Anal. Mach. Intell. Yawei Zhao, Qinghe Liu, Pan Liu, Xinwang Liu, Kunlun He
2025	A*	`conf`	SALVG: Latent Variable Gene Augmented Graph Learning for Multi-View Clustering in Spatial Transcriptomics. ACM Multimedia Zeyu Zhu, Ke Liang, Lingyuan Meng, Xingchen Hu, Xinwang Liu, Wanwei Liu, Kunlun He
2025	J	`jnl`	Scalable Multi-View Graph Clustering With Cross-View Corresponding Anchor Alignment. IEEE Trans. Knowl. Data Eng. Siwei Wang, Xinwang Liu, Qing Liao, Yi Wen, En Zhu, Kunlun He
2025	J	`jnl`	Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment. IEEE Trans. Neural Networks Learn. Syst. Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang Zhou, Xinbiao Gan, Xinwang Liu, Kunlun He
2025	J	`jnl`	Towards Pre-trained Graph Condensation via Optimal Transport. CoRR Yeyu Yan, Shuai Zheng, Wenjun Hui, Xiangkai Zhu, Dong Chen, Zhenfeng Zhu, Yao Zhao, Kunlun He
2025	J	`jnl`	WAGE: Weight-Sharing Attribute-Missing Graph Autoencoder. IEEE Trans. Pattern Anal. Mach. Intell. Wenxuan Tu, Sihang Zhou, Xinwang Liu, Zhiping Cai, Yawei Zhao, Yue Liu, Kunlun He
2024	J	`jnl`	A Joint Representation Using Continuous and Discrete Features for Cardiovascular Diseases Risk Prediction on Chest CT Scans. CoRR Minfeng Xu, Chen-Chen Fan, Yan-Jie Zhou, Wenchao Guo, Pan Liu, Jing Qi, Le Lu, Hanqing Chao, Kunlun He
2024	J	`jnl`	A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal. IEEE Trans. Pattern Anal. Mach. Intell. Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun, Kunlun He
2024	J	`jnl`	Active-Passive Federated Learning for Vertically Partitioned Multi-view Data. CoRR Jiyuan Liu, Xinwang Liu, Siqi Wang, Xingchen Hu, Qing Liao, Xinhang Wan, Yi Zhang, Xin Lv, Kunlun He
2024	A*	`conf`	Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering. NeurIPS Suyuan Liu, Siwei Wang, Ke Liang, Junpu Zhang, Zhibin Dong, Tianrui Liu, En Zhu, Xinwang Liu, Kunlun He
2024	J	`jnl`	An Energy Matching Vessel Segmentation Framework in 3-D Medical Images. IEEE Trans. Medical Imaging Pan Liu, Gao Huang, Jing Jing, Suyan Bian, Liuquan Cheng, Xin Yang Lu, Chongyou Rao, Yu Liu, Yun Hua, Yongjun Wang, Kunlun He
2024	A*	`conf`	CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series. AAAI Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai
2024	A*	`conf`	CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery. ICLR Yuxiao Cheng, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He
2024	J	`jnl`	Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data. Briefings Bioinform. Dayu Hu, Ke Liang, Zhibin Dong, Jun Wang, Yawei Zhao, Kunlun He
2024	A*	`conf`	FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction. KDD Muhao Xu, Zhenfeng Zhu, Youru Li, Shuai Zheng, Yawei Zhao, Kunlun He, Yao Zhao
2024	J	`jnl`	FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction. CoRR Muhao Xu, Zhenfeng Zhu, Youru Li, Shuai Zheng, Yawei Zhao, Kunlun He, Yao Zhao
2024	J	`jnl`	From Observation to Concept: A Flexible Multi-View Paradigm for Medical Report Generation. IEEE Trans. Multim. Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yawei Zhao, Kunlun He, Yao Zhao
2024	J	`jnl`	HyperTMO: a trusted multi-omics integration framework based on hypergraph convolutional network for patient classification. Bioinform. Haohua Wang, Kai Lin, Qiang Zhang, Jinlong Shi, Xinyu Song, Jue Wu, Chenghui Zhao, Kunlun He
2024	J	`jnl`	MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning. ACM Trans. Intell. Syst. Technol. Yan Zhuang, Junyan Zhang, Ruogu Lu, Kunlun He, Xiuxing Li
2024	J	`jnl`	Multi-View Adaptive Fusion Network for Spatially Resolved Transcriptomics Data Clustering. IEEE Trans. Knowl. Data Eng. Yanran Zhu, Xiao He, Chang Tang, Xinwang Liu, Yuanyuan Liu, Kunlun He
2024	J	`jnl`	Multi-task oriented diffusion model for mortality prediction in shock patients with incomplete data. Inf. Fusion Weijie Zhao, Zihang Chen, Puguang Xie, Jinyang Liu, Siyu Hou, Liang Xu, Yuan Qiu, Dongdong Wu, Jingjing Xiao, Kunlun He
2024	J	`jnl`	On the Consistency and Large-Scale Extension of Multiple Kernel Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Weixuan Liang, Chang Tang, Xinwang Liu, Yong Liu, Jiyuan Liu, En Zhu, Kunlun He
2024	J	`jnl`	Performance Analysis of RIS Assisted D2D Communication Systems Under Beamforming and Interference Cancellation. IEEE Trans. Intell. Transp. Syst. Yaxuan Liu, Yiyang Ni, Haitao Zhao, Jin Zhou, Hongbo Zhu, Shen Qiao, Kunlun He
2024	J	`jnl`	Performance Analysis of RIS-Assisted D2D Communication Under Nakagami-$m$ Fading. IEEE Trans. Veh. Technol. Haitao Zhao, Yaxuan Liu, Yiyang Ni, Jin Zhou, Shen Qiao, Kunlun He
2024	J	`jnl`	RARE: Robust Masked Graph Autoencoder. IEEE Trans. Knowl. Data Eng. Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai, Kunlun He
2024	J	`jnl`	RedCDR: Dual Relation Distillation for Cancer Drug Response Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Muhao Xu, Zhenfeng Zhu, Yawei Zhao, Kunlun He, Qinghua Huang, Yao Zhao
2024	J	`jnl`	SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation. IEEE Trans. Medical Imaging Chen Lin, Zhenfeng Zhu, Yawei Zhao, Ying Zhang, Kunlun He, Yao Zhao
2024	J	`jnl`	Symmetric Multi-View Subspace Clustering With Automatic Neighbor Discovery. IEEE Trans. Circuits Syst. Video Technol. Huimin Ma, Siwei Wang, Junpu Zhang, Shengju Yu, Suyuan Liu, Xinwang Liu, Kunlun He
2024	J	`jnl`	Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion. Inf. Fusion Wenqi Yang, Minhui Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Kunlun He
2024	J	`jnl`	UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation. CoRR Runzhao Yang, Yinda Chen, Zhihong Zhang, Xiaoyu Liu, Zongren Li, Kunlun He, Zhiwei Xiong, Jinli Suo, Qionghai Dai
2024	J	`jnl`	VesselTransGAN to CT Imaging: A Contrast Medium Free CTA Solution. IEEE Access Yun Hua, Suyan Bian, Pan Liu, Shaodong Zhu, Jing Jing, Yan Zhuang, Menglu Li, Xu Chen, Chongyou Rao, Xiaoyu Jin, Kunlun He
2024	J	`jnl`	scEGG: an exogenous gene-guided clustering method for single-cell transcriptomic data. Briefings Bioinform. Dayu Hu, Renxiang Guan, Ke Liang, Hao Yu, Hao Quan, Yawei Zhao, Xinwang Liu, Kunlun He
2023	J	`jnl`	CUTS+: High-dimensional Causal Discovery from Irregular Time-series. CoRR Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai
2023	A*	`conf`	CUTS: Neural Causal Discovery from Irregular Time-Series Data. ICLR Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai
2023	J	`jnl`	CUTS: Neural Causal Discovery from Irregular Time-Series Data. CoRR Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai
2023	J	`jnl`	CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery. CoRR Yuxiao Cheng, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He
2023	J	`jnl`	Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend. ACM Trans. Intell. Syst. Technol. Wendi Wu, Zongren Li, Yawei Zhao, Chen Yu, Peilin Zhao, Ji Liu, Kunlun He
2023	J	`jnl`	Deep unfolding based optimization framework of fractional programming for wireless communication systems. Wirel. Networks Haitao Zhao, Zhiyuan Chen, Wenchao Xia, Kun Guo, Yiyang Ni, Kunlun He
2023	J	`jnl`	Medical Federated Model with Mixture of Personalized and Sharing Components. CoRR Yawei Zhao, Qinghe Liu, Xinwang Liu, Kunlun He
2022	J	`jnl`	DeepKG: an end-to-end deep learning-based workflow for biomedical knowledge graph extraction, optimization and applications. Bioinform. Zongren Li, Qin Zhong, Jing Yang, Yongjie Duan, Wenjun Wang, Chengkun Wu, Kunlun He
2022	J	`jnl`	Real order total variation with applications to the loss functions in learning schemes. CoRR Pan Liu, Xin Yang Lu, Kunlun He
2021	J	`jnl`	Attention-Based Deep Recurrent Model for Survival Prediction. ACM Trans. Comput. Heal. Zhaohong Sun, Wei Dong, Jinlong Shi, Kunlun He, Zhengxing Huang
2021	J	`jnl`	HFIP: an integrated multi-omics data and knowledge platform for the precision medicine of heart failure. Database J. Biol. Databases Curation 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
2020	J	`jnl`	Deep learning for digitizing highly noisy paper-based ECG records. Comput. Biol. Medicine Yao Li, Qixun Qu, Meng Wang, Liheng Yu, Jun Wang, Linghao Shen, Kunlun He
2020	J	`jnl`	In-Hospital Mortality Prediction for Heart Failure Patients Using Electronic Health Records and an Improved Bagging Algorithm. J. Medical Imaging Health Informatics 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
2020	J	`jnl`	On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records. IEEE J. Biomed. Health Informatics Huilong Duan, Zhoujian Sun, Wei Dong, Kunlun He, Zhengxing Huang
2020	J	`jnl`	Primary Categorizing and Masking Cerebral Small Vessel Disease Based on "Deep Learning System". Frontiers Neuroinformatics Yunyun Duan, Wei Shan, Liying Liu, Qun Wang, Zhenzhou Wu, Pan Liu, Jiahao Ji, Yaou Liu, Kunlun He, Yongjun Wang
2020	J	`jnl`	Treatment effect prediction with adversarial deep learning using electronic health records. BMC Medical Informatics Decis. Mak. Jiebin Chu, Wei Dong, Jinliang Wang, Kunlun He, Zhengxing Huang
2019	J	`jnl`	A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records. IEEE Access Binhua Wang, Yongyi Bai, Zhenjie Yao, Jiangong Li, Wei Dong, Yanhui Tu, Wanguo Xue, Yaping Tian, Yifei Wang, Kunlun He
2019	J	`jnl`	Deep representation learning for individualized treatment effect estimation using electronic health records. J. Biomed. Informatics Peipei Chen, Wei Dong, Xudong Lu, Uzay Kaymak, Kunlun He, Zhengxing Huang
2019	J	`jnl`	Evidential MACE prediction of acute coronary syndrome using electronic health records. BMC Medical Informatics Decis. Mak. Danqing Hu, Wei Dong, Xudong Lu, Huilong Duan, Kunlun He, Zhengxing Huang
2018	J	`jnl`	Probabilistic modeling personalized treatment pathways using electronic health records. J. Biomed. Informatics Zhengxing Huang, Zhenxiao Ge, Wei Dong, Kunlun He, Huilong Duan
2018	J	`jnl`	Relational regularized risk prediction of acute coronary syndrome using electronic health records. Inf. Sci. Zhengxing Huang, Zhenxiao Ge, Wei Dong, Kunlun He, Huilong Duan, Peter A. Bath
2018	J	`jnl`	Using neural attention networks to detect adverse medical events from electronic health records. J. Biomed. Informatics Jiebin Chu, Wei Dong, Kunlun He, Huilong Duan, Zhengxing Huang