Xiucai Ye

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 71

Top Topics

Spectral Clustering

Wireless Sensor Networks

Differential Privacy

Learning To Rank

Top Venues

Briefings Bioinform.

Comput. Biol. Medicine

Publications

Shida He, Xiucai Ye, Lijun Dou, Tetsuya Sakurai
FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery. Comput. Biol. Medicine 168 (2024)
Li Wang, Xiangzheng Fu, Jiahao Yang, Xinyi Zhang, Xiucai Ye, Yiping Liu, Tetsuya Sakurai, Xiangxiang Zeng
MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor. CoRR (2024)
Jing Zhang, Jian-Yu Hu, Li-Wei Lin, Xiucai Ye
Attribute and closeness based scheduling model for vehicle-to-grid network. Peer Peer Netw. Appl. 17 (1) (2024)
Jing Zhang, Kunliang Si, Zuanyang Zeng, Tongxin Li, Xiucai Ye
IEA-DP: Information Entropy-driven Adaptive Differential Privacy Protection Scheme for social networks. J. Supercomput. 80 (14) (2024)
Wen-Yu Xi, Ruheng Wang, Li Wang, Xiucai Ye, Mingyang Liu, Tetsuya Sakurai
An interpretable deep learning model predicts RNA-small molecule binding sites. Future Gener. Comput. Syst. 159 (2024)
Jing Zhang, Zuanyang Zeng, Kunliang Si, Xiucai Ye
Entropy-driven differential privacy protection scheme based on social graphlet attributes. J. Supercomput. 80 (6) (2024)
Dong Huang, Xiucai Ye, Tetsuya Sakurai
Multi-party collaborative drug discovery via federated learning. Comput. Biol. Medicine 171 (2024)
Yi-rui Huang, Jing Zhang, Hong-ming Hou, Xiucai Ye, Yi Chen
GeoPM-DMEIRL: A deep inverse reinforcement learning security trajectory generation framework with serverless computing. Future Gener. Comput. Syst. 154 (2024)
Li Wang, Yiping Li, Xiangzheng Fu, Xiucai Ye, Junfeng Shi, Gary G. Yen, Xiangxiang Zeng
HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design. CoRR (2024)
Jing Zhang, Qihan Huang, Jian-Yu Hu, Xiucai Ye
Dimension-aware under spatiotemporal constraints: an efficient privacy-preserving framework with peak density clustering. J. Supercomput. 79 (4) (2023)
Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai
Deep generative model for drug design from protein target sequence. J. Cheminformatics 15 (1) (2023)
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
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings Bioinform. 24 (1) (2023)
Jing Zhang, Qian Ding, Biao Li, Xiucai Ye
Bidirectional k-nearest neighbor spatial crowdsourcing allocation protocol based on edge computing. PeerJ Comput. Sci. 9 (2023)
Qihan Huang, Jing Zhang, Zuanyang Zeng, Ding He, Xiucai Ye, Yi Chen
PPDF-FedTMI: A Federated Learning-based Transport Mode Inference Model with Privacy-Preserving Data Fusion. Simul. Model. Pract. Theory 129 (2023)
Jing Zhang, Biao Li, Xiucai Ye, Yi Chen
Pick-up point recommendation strategy based on user incentive mechanism. PeerJ Comput. Sci. 9 (2023)
Yifan Shang, Xiucai Ye, Tetsuya Sakurai
Common and Unique Features Learning in Multi-view Network Embedding. IJCNN (2023)
Yifan Shang, Xiucai Ye, Tetsuya Sakurai
Multi-view Network Embedding with Structure and Semantic Contrastive Learning. ICME (2023)
Jing Zhang, Yi-rui Huang, Qihan Huang, Yan-zi Li, Xiucai Ye
Hasse sensitivity level: A sensitivity-aware trajectory privacy-enhanced framework with Reinforcement Learning. Future Gener. Comput. Syst. 142 (2023)
Junwei Yan, Tao Jiang, Liwei Lin, Zhengyu Wu, Xiucai Ye, Mengke Tian, Yong Wang
A novel Sybil attack detection scheme in mobile IoT based on collaborate edge computing. EURASIP J. Wirel. Commun. Netw. 2023 (1) (2023)
Xiucai Ye, Yifan Shang, Tianyi Shi, Weihang Zhang, Tetsuya Sakurai
Multi-omics clustering for cancer subtyping based on latent subspace learning. Comput. Biol. Medicine 164 (2023)
Meng Huang, Jiangtao Ma, Guangqi An, Xiucai Ye
Unravelling cancer subtype-specific driver genes in single-cell transcriptomics data with CSDGI. PLoS Comput. Biol. 19 (12) (2023)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
LSEC: Large-scale spectral ensemble clustering. Intell. Data Anal. 27 (1) (2023)
Momo Matsuda, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data. Frontiers Comput. Sci. 17 (1) (2023)
Shihu Jiao, Xiucai Ye, Chunyan Ao, Tetsuya Sakurai, Quan Zou, Lei Xu
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. Bioinform. 39 (10) (2023)
Changzhou Long, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
Quantum Algorithm for Regularized Spectral Clustering. ICMLC (2023)
Tianyi Shi, Xiucai Ye, Tetsuya Sakurai
Multi-omics clustering based on interpretable and discriminative features for cancer subtyping. BIBM (2023)
Weihang Zhang, Xiucai Ye, Testuya Sakurai
Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering. IJCNN (2022)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Divide-and-conquer based large-scale spectral clustering. Neurocomputing 501 (2022)
Zhao-Yue Zhang, Lin Ning, Xiucai Ye, Yu-He Yang, Yasunori Futamura, Tetsuya Sakurai, Hao Lin
iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism. Briefings Bioinform. 23 (5) (2022)
Tian-Fu Lee, Xiucai Ye, Wei-Yu Chen, Chi-Chang Chang
Enhanced Authenticated Key Agreement for Surgical Applications in a Tactile Internet Environment. Sensors 22 (20) (2022)
Dong Huang, Xiucai Ye, Tetsuya Sakurai
Knowledge distillation-based privacy-preserving data analysis. RACS (2022)
Lesong Wei, Xiucai Ye, Tetsuya Sakurai
ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information. RACS (2022)
Meng Huang, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma. J. Biomed. Informatics 128 (2022)
Jing Zhang, Yanzi Li, Qian Ding, Liwei Lin, Xiucai Ye
Successive Trajectory Privacy Protection with Semantics Prediction Differential Privacy. Entropy 24 (9) (2022)
Lesong Wei, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, Leyi Wei
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning. Bioinform. 38 (6) (2022)
Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou
NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank. Bioinform. 38 (7) (2022)
Yitao Yang, Xiucai Ye, Tetsuya Sakurai
Multi-View Federated Learning with Data Collaboration. ICMLC (2022)
Yifan Shang, Xiucai Ye, Yasunori Futamura, Liang Yu, Tetsuya Sakurai
Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving. Briefings Bioinform. 23 (3) (2022)
Tian-Fu Lee, Xiucai Ye, Syuan-Han Lin
Anonymous Dynamic Group Authenticated Key Agreements Using Physical Unclonable Functions for Internet of Medical Things. IEEE Internet Things J. 9 (16) (2022)
Lesong Wei, Xiucai Ye, Yuyang Xue, Tetsuya Sakurai, Leyi Wei
ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism. Briefings Bioinform. 22 (5) (2021)
Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. ACML (2021)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Divide-and-conquer based Large-Scale Spectral Clustering. CoRR (2021)
Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density. CoRR (2021)
Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai
Spectral Clustering Joint Deep Embedding Learning by Autoencoder. IJCNN (2021)
Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou
Application of learning to rank in bioinformatics tasks. Briefings Bioinform. 22 (5) (2021)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
LSEC: Large-scale spectral ensemble clustering. CoRR (2021)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Hubness-based Sampling Method for Nyström Spectral Clustering. IJCNN (2020)
Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. PKAW (2020)
Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
An oversampling framework for imbalanced classification based on Laplacian eigenmaps. Neurocomputing 399 (2020)
Xiucai Ye, Weihang Zhang, Tetsuya Sakurai
Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer. IEEE Access 8 (2020)
Xiaoli Qiang, Chen Zhou, Xiucai Ye, Pufeng Du, Ran Su, Leyi Wei
CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning. Briefings Bioinform. 21 (1) (2020)
Xiaoqing Ru, Lida Wang, Lihong Li, Hui Ding, Xiucai Ye, Quan Zou
Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm. Comput. Biol. Medicine 119 (2020)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Ensemble Learning for Spectral Clustering. ICDM (2020)
Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Multiclass spectral feature scaling method for dimensionality reduction. Intell. Data Anal. 24 (6) (2020)
Zhiqiang Ruan, Xiucai Ye
Cost-Optimized Video Dissemination Over Heterogeneous Cloud With SLAs Support. IEEE Access 7 (2019)
Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Multiclass spectral feature scaling method for dimensionality reduction. CoRR (2019)
Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
Distributed Collaborative Feature Selection Based on Intermediate Representation. IJCAI (2019)
Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. AAAI (2019)
Xiucai Ye, Hongmin Li, Tetsuya Sakurai, Zhi Liu
Large Scale Spectral Clustering Using Sparse Representation Based on Hubness. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2018)
Xiucai Ye, Tetsuya Sakurai
Spectral clustering with adaptive similarity measure in Kernel space. Intell. Data Anal. 22 (4) (2018)
Xiucai Ye, Tetsuya Sakurai
Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning. J. Univers. Comput. Sci. 24 (6) (2018)
Xiucai Ye, Tetsuya Sakurai
Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis. ICMHI (2017)
Xiucai Ye, Tetsuya Sakurai
Similarity Measure Based on Adaptive Neighbors for Spectral Clustering. ICMLC (2017)
Xiucai Ye, Tetsuya Sakurai
Feature Selection via Embedded Learning Based on Tangent Space Alignment for Microarray Data. J. Comput. Sci. Eng. 11 (4) (2017)
Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai
Spectral clustering and discriminant analysis for unsupervised feature selection. ESANN (2016)
Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai
Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation. FLAIRS Conference (2016)
Jing Zhang, Li Xu, Shuming Zhou, Xiucai Ye
A novel sleep scheduling scheme in green wireless sensor networks. J. Supercomput. 71 (3) (2015)
Jing Zhang, Shuming Zhou, Li Xu, Wei Wu, Xiucai Ye
An Efficient Connected Dominating Set Algorithm in WSNS Based on the Induced Tree of the Crossed Cube. Int. J. Appl. Math. Comput. Sci. 25 (2) (2015)
Xiucai Ye, Jie Li, Wen-Tsuen Chen, Feilong Tang
LT codes based distributed coding for efficient distributed storage in Wireless Sensor Networks. Networking (2015)
Xiucai Ye, Tetsuya Sakurai
Spectral clustering using robust similarity measure based on closeness of shared Nearest Neighbors. IJCNN (2015)
Jie Li, Xiucai Ye, Li Xu, Huaibei Liu
Collecting all data continuously in wireless sensor networks with a mobile base station. Int. J. Comput. Sci. Eng. 11 (3) (2015)
Xiucai Ye, Jie Li, Li Xu
Distributed Separate Coding for Continuous Data Collection in Wireless Sensor Networks. ACM Trans. Sens. Networks 11 (1) (2014)
Xiucai Ye, Jie Li, Li Xu
Group Data Collection in wireless sensor networks with a mobile base station. WCNC (2013)
Jie Li, Xiucai Ye, Li Xu
A Novel Data Collection Scheme for WSNs. VTC Spring (2012)
Li Xu, Zhibin Zeng, Xiucai Ye
Multi-objective Optimization Based Virtual Resource Allocation Strategy for Cloud Computing. ACIS-ICIS (2012)
Jie Li, Xiucai Ye, Yusheng Ji
A Novel Network Coding Scheme for Data Collection in WSNs with a Mobile BS. DNIS (2011)