Xiucai Ye - RankMe

101 papers A* 3A 1B 11C 2Misc 4Journal 67Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BlackHole-DTP: a distributed trajectory privacy protection strategy with deep trajectory training and data blackhole. Comput. J. Hong-ming Hou, Jing Zhang, Zhenhan Huang, Meirun Zhang, Xiucai Ye
2026	J	`jnl`	High-performance computing enhanced task recommendation strategy based on mobile prediction in mobile crowdsensing. Eng. Appl. Artif. Intell. Jing Zhang, Xiangxuan Zhong, Zhenhan Huang, Li Xu, Xiucai Ye
2026	J	`jnl`	RFD-ML: Robust federated defense via meta-learning. Appl. Soft Comput. Hong-ming Hou, Jing Zhang, Meirun Zhang, Zhenhan Huang, Xiucai Ye
2026	J	`jnl`	TPGNN-FedGPR: triple level privacy-preserving graph neural network for federated geographic POI recommendation. Frontiers Comput. Sci. Wenlong Shi, Jing Zhang, Youqin Chen, Xiucai Ye, Hao Liao
2025	J	`jnl`	BiFDR: Brain-Inspired Federated Diffusion Transformer with Reinforcement for privacy-preserving molecular generation. J. Biomed. Informatics Hong-ming Hou, Jing Zhang, Meirun Zhang, Xiucai Ye
2025	J	`jnl`	CSI-FL: Communication-Sensing Integrated Federated Learning Framework for Heterogeneous IoV. IEEE Trans. Comput. Soc. Syst. Jing Zhang, Hong-ming Hou, Meirun Zhang, Li Xu, Xiucai Ye
2025	J	`jnl`	DRL-UPPS: User Trajectory Privacy Protection Strategy Based on Deep Reinforcement Learning in Mobile Crowdsensing. IEEE Trans. Comput. Soc. Syst. Ding He, Jing Zhang, Li Xu, Yanhua Liu, Xiucai Ye
2025	B	`conf`	Deep Feature Learning for Multi-Omics Clustering Using Supervised Variational Autoencoders with Clinical Information. IJCNN Tianyi Shi, Xiucai Ye, Tetsuya Sakurai
2025	—	`conf`	DiCoGRN: Inference of Colorectal Cancer Subtypespecific Gene Regulatory Networks Using Dual-View Contrastive Transformer. BIBM Meng Huang, Huijin Hu, Ming Li, Jian Zhang, Heng Zhang, Lei Ye, Xiucai Ye
2025	J	`jnl`	EAFL-ALP: Energy-Efficient Asynchronous Federated Learning With Adaptive Layered Personalization for Vehicular Networks. IEEE Internet Things J. Jing Zhang, Hong-ming Hou, Meirun Zhang, Li Xu, Xiucai Ye
2025	—	`conf`	GSToxi: Gated Cross-Modal Modeling With Graph-Sequence Encoders for Peptide Toxicity Prediction. BIBM Li Wang, Xiangzheng Fu, Tianyi Shi, Xiucai Ye, Tetsuya Sakurai, Yiping Liu
2025	J	`jnl`	Image-based generation for molecule design with SketchMol. Nat. Mac. Intell. Zixu Wang, Yangyang Chen, Pengsen Ma, Zhou Yu, Jianmin Wang, Yuansheng Liu, Xiucai Ye, Tetsuya Sakurai, Xiangxiang Zeng
2025	J	`jnl`	LSTM-TRPS: Trajectory reconstruction protection strategy based on semantic information encoding. Comput. Networks Jing Zhang, Tongxin Li, Haoze Hu, Huaxiong Liao, Xiucai Ye
2025	J	`jnl`	MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer. Briefings Bioinform. Li Wang, Xiangzheng Fu, Jiahao Yang, Xinyi Zhang, Xiucai Ye, Tetsuya Sakurai, Xiangxiang Zeng, Yiping Liu
2025	J	`jnl`	PCDP-CRLPPM: a classified regional location privacy-protection model based on personalized clustering with differential privacy in data management. Comput. J. Wenlong Shi, Jing Zhang, Xiaoping Chen, Xiucai Ye
2025	J	`jnl`	PKAN: Leveraging Kolmogorov-Arnold Networks and Multi-Modal Learning for Peptide Prediction With Advanced Language Models. IEEE J. Biomed. Health Informatics Li Wang, Xiangzheng Fu, Xiucai Ye, Tetsuya Sakurai, Xiangxiang Zeng, Yiping Liu
2025	—	`conf`	Understanding Surgical Triplet Videos Through Transferable Visual Models from Natural Language Supervision. PRCV (18) Yunhao Li, Aoying Wang, Yu-Xi Xie, Qiong Wang, Xiucai Ye, Patrizia Savi, Ying Hu, Yan Pang
2024	J	`jnl`	An interpretable deep learning model predicts RNA-small molecule binding sites. Future Gener. Comput. Syst. Wen-Yu Xi, Ruheng Wang, Li Wang, Xiucai Ye, Mingyang Liu, Tetsuya Sakurai
2024	J	`jnl`	Attribute and closeness based scheduling model for vehicle-to-grid network. Peer Peer Netw. Appl. Jing Zhang, Jian-Yu Hu, Liwei Lin, Xiucai Ye
2024	B	`conf`	CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network. IJCNN Zixu Wang, Yangyang Chen, Xiucai Ye, Tetsuya Sakurai
2024	J	`jnl`	DTS-AdapSTNet: an adaptive spatiotemporal neural networks for traffic prediction with multi-graph fusion. PeerJ Comput. Sci. Wenlong Shi, Jing Zhang, Xiangxuan Zhong, Xiaoping Chen, Xiucai Ye
2024	B	`conf`	Deciphering the Complex Characterization of Coding LncRNA. IJCNN Tianyuan Liu, Xiucai Ye, Tetsuya Sakurai
2024	J	`jnl`	Entropy-driven differential privacy protection scheme based on social graphlet attributes. J. Supercomput. Jing Zhang, Zuanyang Zeng, Kunliang Si, Xiucai Ye
2024	J	`jnl`	FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery. Comput. Biol. Medicine Shida He, Xiucai Ye, Lijun Dou, Tetsuya Sakurai
2024	J	`jnl`	GeoPM-DMEIRL: A deep inverse reinforcement learning security trajectory generation framework with serverless computing. Future Gener. Comput. Syst. Yi-rui Huang, Jing Zhang, Hong-ming Hou, Xiucai Ye, Yi Chen
2024	J	`jnl`	HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design. CoRR Li Wang, Yiping Li, Xiangzheng Fu, Xiucai Ye, Junfeng Shi, Gary G. Yen, Xiangxiang Zeng
2024	J	`jnl`	IEA-DP: Information Entropy-driven Adaptive Differential Privacy Protection Scheme for social networks. J. Supercomput. Jing Zhang, Kunliang Si, Zuanyang Zeng, Tongxin Li, Xiucai Ye
2024	J	`jnl`	Integrated convolution and self-attention for improving peptide toxicity prediction. Bioinform. Shihu Jiao, Xiucai Ye, Tetsuya Sakurai, Quan Zou, Ruijun Liu
2024	—	`conf`	Integrating Biological Language Processing and Memory Attention Model for Protein-DNA Binding Residue Prediction. BIBM Shixuan Guan, Xiucai Ye, Tetsuya Sakurai
2024	J	`jnl`	Lightweight privacy-preserving authenticated key agreements using physically unclonable functions for internet of drones. J. Inf. Secur. Appl. Tian-Fu Lee, Xiucai Ye, Wei-Jie Huang
2024	J	`jnl`	MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor. CoRR Li Wang, Xiangzheng Fu, Jiahao Yang, Xinyi Zhang, Xiucai Ye, Yiping Liu, Tetsuya Sakurai, Xiangxiang Zeng
2024	J	`jnl`	Multi-party collaborative drug discovery via federated learning. Comput. Biol. Medicine Dong Huang, Xiucai Ye, Tetsuya Sakurai
2024	—	`conf`	Selecting interpretable features for cancer subtyping on multi-omics data. BIBM Tianyi Shi, Xiucai Ye, Dong Huang, Tetsuya Sakurai
2024	J	`jnl`	Stitch-Able Split Learning Assisted Multi-UAV Systems. IEEE Open J. Comput. Soc. Tingkai Sun, Xiaoyan Wang, Xiucai Ye, Biao Han
2023	J	`jnl`	A novel Sybil attack detection scheme in mobile IoT based on collaborate edge computing. EURASIP J. Wirel. Commun. Netw. Junwei Yan, Tao Jiang, Liwei Lin, Zhengyu Wu, Xiucai Ye, Mengke Tian, Yong Wang
2023	J	`jnl`	Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. Bioinform. Shihu Jiao, Xiucai Ye, Chunyan Ao, Tetsuya Sakurai, Quan Zou, Lei Xu
2023	J	`jnl`	Bidirectional k-nearest neighbor spatial crowdsourcing allocation protocol based on edge computing. PeerJ Comput. Sci. Jing Zhang, Qian Ding, Biao Li, Xiucai Ye
2023	B	`conf`	Common and Unique Features Learning in Multi-view Network Embedding. IJCNN Yifan Shang, Xiucai Ye, Tetsuya Sakurai
2023	J	`jnl`	Deep generative model for drug design from protein target sequence. J. Cheminformatics Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai
2023	J	`jnl`	Dimension-aware under spatiotemporal constraints: an efficient privacy-preserving framework with peak density clustering. J. Supercomput. Jing Zhang, Qihan Huang, Jian-Yu Hu, Xiucai Ye
2023	J	`jnl`	Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data. Frontiers Comput. Sci. Momo Matsuda, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
2023	J	`jnl`	Hasse sensitivity level: A sensitivity-aware trajectory privacy-enhanced framework with Reinforcement Learning. Future Gener. Comput. Syst. Jing Zhang, Yi-rui Huang, Qihan Huang, Yan-zi Li, Xiucai Ye
2023	J	`jnl`	LSEC: Large-scale spectral ensemble clustering. Intell. Data Anal. Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2023	—	`conf`	Multi-omics clustering based on interpretable and discriminative features for cancer subtyping. BIBM Tianyi Shi, Xiucai Ye, Tetsuya Sakurai
2023	J	`jnl`	Multi-omics clustering for cancer subtyping based on latent subspace learning. Comput. Biol. Medicine Xiucai Ye, Yifan Shang, Tianyi Shi, Weihang Zhang, Tetsuya Sakurai
2023	A	`conf`	Multi-view Network Embedding with Structure and Semantic Contrastive Learning. ICME Yifan Shang, Xiucai Ye, Tetsuya Sakurai
2023	J	`jnl`	PPDF-FedTMI: A Federated Learning-based Transport Mode Inference Model with Privacy-Preserving Data Fusion. Simul. Model. Pract. Theory Qihan Huang, Jing Zhang, Zuanyang Zeng, Ding He, Xiucai Ye, Yi Chen
2023	J	`jnl`	Pick-up point recommendation strategy based on user incentive mechanism. PeerJ Comput. Sci. Jing Zhang, Biao Li, Xiucai Ye, Yi Chen
2023	Misc	`conf`	Quantum Algorithm for Regularized Spectral Clustering. ICMLC Changzhou Long, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
2023	J	`jnl`	SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings Bioinform. Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Leyi Wei
2023	J	`jnl`	Unravelling cancer subtype-specific driver genes in single-cell transcriptomics data with CSDGI. PLoS Comput. Biol. Meng Huang, Jiangtao Ma, Guangqi An, Xiucai Ye
2022	J	`jnl`	Anonymous Dynamic Group Authenticated Key Agreements Using Physical Unclonable Functions for Internet of Medical Things. IEEE Internet Things J. Tian-Fu Lee, Xiucai Ye, Syuan-Han Lin
2022	J	`jnl`	Divide-and-conquer based large-scale spectral clustering. Neurocomputing Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2022	J	`jnl`	Enhanced Authenticated Key Agreement for Surgical Applications in a Tactile Internet Environment. Sensors Tian-Fu Lee, Xiucai Ye, Wei-Yu Chen, Chi-Chang Chang
2022	B	`conf`	Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering. IJCNN Weihang Zhang, Xiucai Ye, Testuya Sakurai
2022	—	`conf`	Knowledge distillation-based privacy-preserving data analysis. RACS Dong Huang, Xiucai Ye, Tetsuya Sakurai
2022	Misc	`conf`	Multi-View Federated Learning with Data Collaboration. ICMLC Yitao Yang, Xiucai Ye, Tetsuya Sakurai
2022	J	`jnl`	Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving. Briefings Bioinform. Yifan Shang, Xiucai Ye, Yasunori Futamura, Liang Yu, Tetsuya Sakurai
2022	J	`jnl`	NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank. Bioinform. Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou
2022	J	`jnl`	Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma. J. Biomed. Informatics Meng Huang, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2022	J	`jnl`	Successive Trajectory Privacy Protection with Semantics Prediction Differential Privacy. Entropy Jing Zhang, Yanzi Li, Qian Ding, Liwei Lin, Xiucai Ye
2022	J	`jnl`	ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning. Bioinform. Lesong Wei, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, Leyi Wei
2022	—	`conf`	ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information. RACS Lesong Wei, Xiucai Ye, Tetsuya Sakurai
2022	J	`jnl`	iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism. Briefings Bioinform. Zhao-Yue Zhang, Lin Ning, Xiucai Ye, Yu-He Yang, Yasunori Futamura, Tetsuya Sakurai, Hao Lin
2021	J	`jnl`	ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism. Briefings Bioinform. Lesong Wei, Xiucai Ye, Yuyang Xue, Tetsuya Sakurai, Leyi Wei
2021	J	`jnl`	Application of learning to rank in bioinformatics tasks. Briefings Bioinform. Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou
2021	C	`conf`	Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. ACML Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2021	J	`jnl`	Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density. CoRR Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
2021	J	`jnl`	Divide-and-conquer based Large-Scale Spectral Clustering. CoRR Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2021	J	`jnl`	LSEC: Large-scale spectral ensemble clustering. CoRR Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2021	B	`conf`	Spectral Clustering Joint Deep Embedding Learning by Autoencoder. IJCNN Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai
2020	J	`jnl`	Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer. IEEE Access Xiucai Ye, Weihang Zhang, Tetsuya Sakurai
2020	J	`jnl`	An oversampling framework for imbalanced classification based on Laplacian eigenmaps. Neurocomputing Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
2020	J	`jnl`	CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning. Briefings Bioinform. Xiaoli Qiang, Chen Zhou, Xiucai Ye, Pufeng Du, Ran Su, Leyi Wei
2020	C	`conf`	Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. PKAW Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2020	A*	`conf`	Ensemble Learning for Spectral Clustering. ICDM Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2020	J	`jnl`	Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm. Comput. Biol. Medicine Xiaoqing Ru, Lida Wang, Lihong Li, Hui Ding, Xiucai Ye, Quan Zou
2020	B	`conf`	Hubness-based Sampling Method for Nyström Spectral Clustering. IJCNN Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2020	J	`jnl`	Multiclass spectral feature scaling method for dimensionality reduction. Intell. Data Anal. Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2019	A*	`conf`	Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. AAAI Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai
2019	J	`jnl`	Cost-Optimized Video Dissemination Over Heterogeneous Cloud With SLAs Support. IEEE Access Zhiqiang Ruan, Xiucai Ye
2019	A*	`conf`	Distributed Collaborative Feature Selection Based on Intermediate Representation. IJCAI Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
2019	J	`jnl`	Multiclass spectral feature scaling method for dimensionality reduction. CoRR Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2018	—	`conf`	Large Scale Spectral Clustering Using Sparse Representation Based on Hubness. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Xiucai Ye, Hongmin Li, Tetsuya Sakurai, Zhi Liu
2018	J	`jnl`	Spectral clustering with adaptive similarity measure in Kernel space. Intell. Data Anal. Xiucai Ye, Tetsuya Sakurai
2018	J	`jnl`	Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning. J. Univers. Comput. Sci. Xiucai Ye, Tetsuya Sakurai
2017	J	`jnl`	Feature Selection via Embedded Learning Based on Tangent Space Alignment for Microarray Data. J. Comput. Sci. Eng. Xiucai Ye, Tetsuya Sakurai
2017	Misc	`conf`	Similarity Measure Based on Adaptive Neighbors for Spectral Clustering. ICMLC Xiucai Ye, Tetsuya Sakurai
2017	—	`conf`	Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis. ICMHI Xiucai Ye, Tetsuya Sakurai
2016	Misc	`conf`	Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation. FLAIRS Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai
2016	B	`conf`	Spectral clustering and discriminant analysis for unsupervised feature selection. ESANN Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai
2015	J	`jnl`	A novel sleep scheduling scheme in green wireless sensor networks. J. Supercomput. Jing Zhang, Li Xu, Shuming Zhou, Xiucai Ye
2015	J	`jnl`	An Efficient Connected Dominating Set Algorithm in WSNS Based on the Induced Tree of the Crossed Cube. Int. J. Appl. Math. Comput. Sci. Jing Zhang, Shuming Zhou, Li Xu, Wei Wu, Xiucai Ye
2015	J	`jnl`	Collecting all data continuously in wireless sensor networks with a mobile base station. Int. J. Comput. Sci. Eng. Jie Li, Xiucai Ye, Li Xu, Huaibei Liu
2015	B	`conf`	LT codes based distributed coding for efficient distributed storage in Wireless Sensor Networks. Networking Xiucai Ye, Jie Li, Wen-Tsuen Chen, Feilong Tang
2015	B	`conf`	Spectral clustering using robust similarity measure based on closeness of shared Nearest Neighbors. IJCNN Xiucai Ye, Tetsuya Sakurai
2014	J	`jnl`	Distributed Separate Coding for Continuous Data Collection in Wireless Sensor Networks. ACM Trans. Sens. Networks Xiucai Ye, Jie Li, Li Xu
2013	B	`conf`	Group Data Collection in wireless sensor networks with a mobile base station. WCNC Xiucai Ye, Jie Li, Li Xu
2012	—	`conf`	A Novel Data Collection Scheme for WSNs. VTC Spring Jie Li, Xiucai Ye, Li Xu
2012	—	`conf`	Multi-objective Optimization Based Virtual Resource Allocation Strategy for Cloud Computing. ACIS-ICIS Li Xu, Zhibin Zeng, Xiucai Ye
2011	—	`conf`	A Novel Network Coding Scheme for Data Collection in WSNs with a Mobile BS. DNIS Jie Li, Xiucai Ye, Yusheng Ji