A Novel Network Coding Scheme for Data Collection in WSNs with a Mobile BS. - Jie Li 002; Xiucai Ye; Yusheng Ji (DNIS, 2011)

Multi-objective Optimization Based Virtual Resource Allocation Strategy for Cloud Computing. - Li Xu 002; Zhibin Zeng; Xiucai Ye (ACIS-ICIS, 2012)

A Novel Data Collection Scheme for WSNs. - Jie Li 002; Xiucai Ye; Li Xu 002 (VTC Spring, 2012)

Group Data Collection in wireless sensor networks with a mobile base station. - Xiucai Ye; Jie Li 002; Li Xu 002 (WCNC, 2013)

Distributed Separate Coding for Continuous Data Collection in Wireless Sensor Networks. - Xiucai Ye; Jie Li 002; Li Xu 002 (ACM Trans. Sens. Networks, 2014)

Spectral clustering using robust similarity measure based on closeness of shared Nearest Neighbors. - Xiucai Ye; Tetsuya Sakurai (IJCNN, 2015)

LT codes based distributed coding for efficient distributed storage in Wireless Sensor Networks. - Xiucai Ye; Jie Li 002; Wen-Tsuen Chen; Feilong Tang (Networking, 2015)

An Efficient Connected Dominating Set Algorithm in WSNS Based on the Induced Tree of the Crossed Cube. - Jing Zhang 040; Shuming Zhou; Li Xu 002; Wei Wu 001; Xiucai Ye (Int. J. Appl. Math. Comput. Sci., 2015)

Collecting all data continuously in wireless sensor networks with a mobile base station. - Jie Li 002; Xiucai Ye; Li Xu 002; Huaibei Liu (Int. J. Comput. Sci. Eng., 2015)

A novel sleep scheduling scheme in green wireless sensor networks. - Jing Zhang 040; Li Xu 002; Shuming Zhou; Xiucai Ye (J. Supercomput., 2015)

Spectral clustering and discriminant analysis for unsupervised feature selection. - Xiucai Ye; Kaiyang Ji; Tetsuya Sakurai (ESANN, 2016)

Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation. - Xiucai Ye; Kaiyang Ji; Tetsuya Sakurai (FLAIRS, 2016)

Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis. - Xiucai Ye; Tetsuya Sakurai (ICMHI, 2017)

Similarity Measure Based on Adaptive Neighbors for Spectral Clustering. - Xiucai Ye; Tetsuya Sakurai (ICMLC, 2017)

Feature Selection via Embedded Learning Based on Tangent Space Alignment for Microarray Data. - Xiucai Ye; Tetsuya Sakurai (J. Comput. Sci. Eng., 2017)

Large Scale Spectral Clustering Using Sparse Representation Based on Hubness. - Xiucai Ye; Hongmin Li; Tetsuya Sakurai; Zhi Liu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Spectral clustering with adaptive similarity measure in Kernel space. - Xiucai Ye; Tetsuya Sakurai (Intell. Data Anal., 2018)

Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning. - Xiucai Ye; Tetsuya Sakurai (J. Univers. Comput. Sci., 2018)

Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. - Akira Imakura; Momo Matsuda; Xiucai Ye; Tetsuya Sakurai (AAAI, 2019)

Distributed Collaborative Feature Selection Based on Intermediate Representation. - Xiucai Ye; Hongmin Li; Akira Imakura; Tetsuya Sakurai (IJCAI, 2019)

Cost-Optimized Video Dissemination Over Heterogeneous Cloud With SLAs Support. - Zhiqiang Ruan; Xiucai Ye (IEEE Access, 2019)

Ensemble Learning for Spectral Clustering. - Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (ICDM, 2020)

Hubness-based Sampling Method for Nyström Spectral Clustering. - Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (IJCNN, 2020)

Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. - Akira Imakura; Xiucai Ye; Tetsuya Sakurai (PKAW, 2020)

Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer. - Xiucai Ye; Weihang Zhang; Tetsuya Sakurai (IEEE Access, 2020)

CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning. - Xiaoli Qiang; Chen Zhou; Xiucai Ye; Pufeng Du; Ran Su; Leyi Wei (Briefings Bioinform., 2020)

Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm. - Xiaoqing Ru; Lida Wang; Lihong Li 005; Hui Ding 005; Xiucai Ye; Quan Zou 001 (Comput. Biol. Medicine, 2020)

Multiclass spectral feature scaling method for dimensionality reduction. - Momo Matsuda; Keiichi Morikuni; Akira Imakura; Xiucai Ye; Tetsuya Sakurai (Intell. Data Anal., 2020)

An oversampling framework for imbalanced classification based on Laplacian eigenmaps. - Xiucai Ye; Hongmin Li; Akira Imakura; Tetsuya Sakurai (Neurocomputing, 2020)

Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. - Akira Imakura; Xiucai Ye; Tetsuya Sakurai (ACML, 2021)

Spectral Clustering Joint Deep Embedding Learning by Autoencoder. - Xiucai Ye; Chunhao Wang; Akira Imakura; Tetsuya Sakurai (IJCNN, 2021)

Application of learning to rank in bioinformatics tasks. - Xiaoqing Ru; Xiucai Ye; Tetsuya Sakurai; Quan Zou 001 (Briefings Bioinform., 2021)

ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism. - Lesong Wei; Xiucai Ye; Yuyang Xue; Tetsuya Sakurai; Leyi Wei (Briefings Bioinform., 2021)

Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density. - Yasunori Futamura; Xiucai Ye; Tetsuya Sakurai (CoRR, 2021)

Multi-View Federated Learning with Data Collaboration. - Yitao Yang; Xiucai Ye; Tetsuya Sakurai (ICMLC, 2022)

Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering. - Weihang Zhang; Xiucai Ye; Testuya Sakurai (IJCNN, 2022)

Knowledge distillation-based privacy-preserving data analysis. - Dong Huang; Xiucai Ye; Tetsuya Sakurai (RACS, 2022)

ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information. - Lesong Wei; Xiucai Ye; Tetsuya Sakurai (RACS, 2022)

Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving. - Yifan Shang; Xiucai Ye; Yasunori Futamura; Liang Yu 002; Tetsuya Sakurai (Briefings Bioinform., 2022)

iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism. - Zhao-Yue Zhang; Lin Ning 002; Xiucai Ye; Yu-He Yang; Yasunori Futamura; Tetsuya Sakurai; Hao Lin 001 (Briefings Bioinform., 2022)

NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank. - Xiaoqing Ru; Xiucai Ye; Tetsuya Sakurai; Quan Zou 001 (Bioinform., 2022)

ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning. - Lesong Wei; Xiucai Ye; Tetsuya Sakurai; Zengchao Mu; Leyi Wei (Bioinform., 2022)

Successive Trajectory Privacy Protection with Semantics Prediction Differential Privacy. - Jing Zhang 040; Yanzi Li; Qian Ding; Liwei Lin; Xiucai Ye (Entropy, 2022)

Divide-and-conquer based large-scale spectral clustering. - Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (Neurocomputing, 2022)

Anonymous Dynamic Group Authenticated Key Agreements Using Physical Unclonable Functions for Internet of Medical Things. - Tian-Fu Lee; Xiucai Ye; Syuan-Han Lin (IEEE Internet Things J., 2022)

Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma. - Meng Huang 003; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (J. Biomed. Informatics, 2022)

Enhanced Authenticated Key Agreement for Surgical Applications in a Tactile Internet Environment. - Tian-Fu Lee; Xiucai Ye; Wei-Yu Chen; Chi-Chang Chang (Sensors, 2022)

Multi-omics clustering based on interpretable and discriminative features for cancer subtyping. - Tianyi Shi; Xiucai Ye; Tetsuya Sakurai (BIBM, 2023)

Multi-view Network Embedding with Structure and Semantic Contrastive Learning. - Yifan Shang; Xiucai Ye; Tetsuya Sakurai (ICME, 2023)

Quantum Algorithm for Regularized Spectral Clustering. - Changzhou Long; Yasunori Futamura; Xiucai Ye; Tetsuya Sakurai (ICMLC, 2023)

Common and Unique Features Learning in Multi-view Network Embedding. - Yifan Shang; Xiucai Ye; Tetsuya Sakurai (IJCNN, 2023)

Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data. - Momo Matsuda; Yasunori Futamura; Xiucai Ye; Tetsuya Sakurai (Frontiers Comput. Sci., 2023)

LSEC: Large-scale spectral ensemble clustering. - Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (Intell. Data Anal., 2023)

Bidirectional k-nearest neighbor spatial crowdsourcing allocation protocol based on edge computing. - Jing Zhang 040; Qian Ding; Biao Li; Xiucai Ye (PeerJ Comput. Sci., 2023)

Pick-up point recommendation strategy based on user incentive mechanism. - Jing Zhang 040; Biao Li; Xiucai Ye; Yi Chen (PeerJ Comput. Sci., 2023)

SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. - 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 (Briefings Bioinform., 2023)

Dimension-aware under spatiotemporal constraints: an efficient privacy-preserving framework with peak density clustering. - Jing Zhang 040; Qihan Huang; Jian-Yu Hu; Xiucai Ye (J. Supercomput., 2023)

Hasse sensitivity level: A sensitivity-aware trajectory privacy-enhanced framework with Reinforcement Learning. - Jing Zhang 040; Yi-rui Huang; Qihan Huang; Yan-zi Li; Xiucai Ye (Future Gener. Comput. Syst., 2023)

Multi-omics clustering for cancer subtyping based on latent subspace learning. - Xiucai Ye; Yifan Shang; Tianyi Shi; Weihang Zhang; Tetsuya Sakurai (Comput. Biol. Medicine, 2023)

Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. - Shihu Jiao; Xiucai Ye; Chunyan Ao; Tetsuya Sakurai; Quan Zou 001; Lei Xu 047 (Bioinform., 2023)

A novel Sybil attack detection scheme in mobile IoT based on collaborate edge computing. - Junwei Yan; Tao Jiang; Liwei Lin; Zhengyu Wu; Xiucai Ye; Mengke Tian; Yong Wang (EURASIP J. Wirel. Commun. Netw., 2023)

Deep generative model for drug design from protein target sequence. - Yangyang Chen 006; Zixu Wang; Lei Wang; Jianmin Wang 016; Pengyong Li; Dongsheng Cao 001; Xiangxiang Zeng; Xiucai Ye; Tetsuya Sakurai (J. Cheminformatics, 2023)

Unravelling cancer subtype-specific driver genes in single-cell transcriptomics data with CSDGI. - Meng Huang 003; Jiangtao Ma; Guangqi An; Xiucai Ye (PLoS Comput. Biol., 2023)

PPDF-FedTMI: A Federated Learning-based Transport Mode Inference Model with Privacy-Preserving Data Fusion. - Qihan Huang; Jing Zhang 040; Zuanyang Zeng; Ding He; Xiucai Ye; Yi Chen (Simul. Model. Pract. Theory, 2023)

Integrating Biological Language Processing and Memory Attention Model for Protein-DNA Binding Residue Prediction. - Shixuan Guan; Xiucai Ye; Tetsuya Sakurai (BIBM, 2024)

Selecting interpretable features for cancer subtyping on multi-omics data. - Tianyi Shi; Xiucai Ye; Dong Huang; Tetsuya Sakurai (BIBM, 2024)

Deciphering the Complex Characterization of Coding LncRNA. - Tianyuan Liu; Xiucai Ye; Tetsuya Sakurai (IJCNN, 2024)

CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network. - Zixu Wang; Yangyang Chen 006; Xiucai Ye; Tetsuya Sakurai (IJCNN, 2024)

Multi-party collaborative drug discovery via federated learning. - Dong Huang; Xiucai Ye; Tetsuya Sakurai (Comput. Biol. Medicine, 2024)

HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design. - Li Wang 145; Yiping Li; Xiangzheng Fu; Xiucai Ye; Junfeng Shi; Gary G. Yen; Xiangxiang Zeng (CoRR, 2024)

MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor. - Li Wang 145; Xiangzheng Fu; Jiahao Yang; Xinyi Zhang; Xiucai Ye; Yiping Liu; Tetsuya Sakurai; Xiangxiang Zeng (CoRR, 2024)

GeoPM-DMEIRL: A deep inverse reinforcement learning security trajectory generation framework with serverless computing. - Yi-rui Huang; Jing Zhang 040; Hong-ming Hou; Xiucai Ye; Yi Chen (Future Gener. Comput. Syst., 2024)

An interpretable deep learning model predicts RNA-small molecule binding sites. - Wen-Yu Xi; Ruheng Wang; Li Wang; Xiucai Ye; Mingyang Liu; Tetsuya Sakurai (Future Gener. Comput. Syst., 2024)

Lightweight privacy-preserving authenticated key agreements using physically unclonable functions for internet of drones. - Tian-Fu Lee; Xiucai Ye; Wei-Jie Huang (J. Inf. Secur. Appl., 2024)

Stitch-Able Split Learning Assisted Multi-UAV Systems. - Tingkai Sun; Xiaoyan Wang 003; Xiucai Ye; Biao Han (IEEE Open J. Comput. Soc., 2024)

DTS-AdapSTNet: an adaptive spatiotemporal neural networks for traffic prediction with multi-graph fusion. - Wenlong Shi; Jing Zhang 040; Xiangxuan Zhong; Xiaoping Chen; Xiucai Ye (PeerJ Comput. Sci., 2024)

FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery. - Shida He; Xiucai Ye; Lijun Dou; Tetsuya Sakurai (Comput. Biol. Medicine, 2024)

Attribute and closeness based scheduling model for vehicle-to-grid network. - Jing Zhang 040; Jian-Yu Hu; Liwei Lin; Xiucai Ye (Peer Peer Netw. Appl., 2024)

Entropy-driven differential privacy protection scheme based on social graphlet attributes. - Jing Zhang 040; Zuanyang Zeng; Kunliang Si; Xiucai Ye (J. Supercomput., 2024)

IEA-DP: Information Entropy-driven Adaptive Differential Privacy Protection Scheme for social networks. - Jing Zhang 040; Kunliang Si; Zuanyang Zeng; Tongxin Li; Xiucai Ye (J. Supercomput., 2024)

PCDP-CRLPPM: a classified regional location privacy-protection model based on personalized clustering with differential privacy in data management. - Wenlong Shi; Jing Zhang 040; Xiaoping Chen; Xiucai Ye (Comput. J., 2025)

Image-based generation for molecule design with SketchMol. - Zixu Wang; Yangyang Chen 006; Pengsen Ma; Zhou Yu; Jianmin Wang 016; Yuansheng Liu; Xiucai Ye; Tetsuya Sakurai; Xiangxiang Zeng (Nat. Mac. Intell., 2025)