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2020 – today
- 2024
[j44]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: 107762 (2024)- [j43]Dong Huang, Xiucai Ye, Tetsuya Sakurai:
Multi-party collaborative drug discovery via federated learning. Comput. Biol. Medicine 171: 108181 (2024) - [j42]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: 123-139 (2024) - [j41]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: 557-566 (2024) - [j40]Jing Zhang, Jian-Yu Hu, Liwei Lin, Xiucai Ye:
Attribute and closeness based scheduling model for vehicle-to-grid network. Peer Peer Netw. Appl. 17(1): 213-226 (2024) - [j39]Jing Zhang, Zuanyang Zeng, Kunliang Si, Xiucai Ye:
Entropy-driven differential privacy protection scheme based on social graphlet attributes. J. Supercomput. 80(6): 7399-7432 (2024) - [j38]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): 20546-20582 (2024) - [i6]Li Wang, Yiping Li, Xiangzheng Fu, Xiucai Ye, Junfeng Shi, Gary G. Yen, Xiangxiang Zeng:
HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design. CoRR abs/2405.00753 (2024) - [i5]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 abs/2406.02610 (2024) - 2023
- [j37]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) - [j36]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) - [j35]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: 107223 (2023) - [j34]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): 25 (2023) - [j33]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): 171310 (2023) - [j32]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: 301-313 (2023) - [j31]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
LSEC: Large-scale spectral ensemble clustering. Intell. Data Anal. 27(1): 59-77 (2023) - [j30]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): 38 (2023) - [j29]Jing Zhang, Qian Ding, Biao Li, Xiucai Ye:
Bidirectional k-nearest neighbor spatial crowdsourcing allocation protocol based on edge computing. PeerJ Comput. Sci. 9: e1244 (2023) - [j28]Jing Zhang, Biao Li, Xiucai Ye, Yi Chen:
Pick-up point recommendation strategy based on user incentive mechanism. PeerJ Comput. Sci. 9: e1692 (2023) - [j27]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) - [j26]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: 102845 (2023) - [j25]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): 4164-4191 (2023) - [c26]Tianyi Shi, Xiucai Ye, Tetsuya Sakurai:
Multi-omics clustering based on interpretable and discriminative features for cancer subtyping. BIBM 2023: 630-635 - [c25]Yifan Shang, Xiucai Ye, Tetsuya Sakurai:
Multi-view Network Embedding with Structure and Semantic Contrastive Learning. ICME 2023: 870-875 - [c24]Changzhou Long, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai:
Quantum Algorithm for Regularized Spectral Clustering. ICMLC 2023: 5-11 - [c23]Yifan Shang, Xiucai Ye, Tetsuya Sakurai:
Common and Unique Features Learning in Multi-view Network Embedding. IJCNN 2023: 1-8 - 2022
- [j24]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) - [j23]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) - [j22]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): 1514-1524 (2022) - [j21]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): 1964-1971 (2022) - [j20]Jing Zhang, Yanzi Li, Qian Ding, Liwei Lin, Xiucai Ye:
Successive Trajectory Privacy Protection with Semantics Prediction Differential Privacy. Entropy 24(9): 1172 (2022) - [j19]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Divide-and-conquer based large-scale spectral clustering. Neurocomputing 501: 664-678 (2022) - [j18]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): 15336-15348 (2022) - [j17]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: 104049 (2022) - [j16]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): 7941 (2022) - [c22]Yitao Yang, Xiucai Ye, Tetsuya Sakurai:
Multi-View Federated Learning with Data Collaboration. ICMLC 2022: 178-183 - [c21]Weihang Zhang, Xiucai Ye, Testuya Sakurai:
Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering. IJCNN 2022: 1-8 - [c20]Dong Huang, Xiucai Ye, Tetsuya Sakurai:
Knowledge distillation-based privacy-preserving data analysis. RACS 2022: 15-20 - [c19]Lesong Wei, Xiucai Ye, Tetsuya Sakurai:
ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information. RACS 2022: 77-82 - 2021
- [j15]Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou:
Application of learning to rank in bioinformatics tasks. Briefings Bioinform. 22(5) (2021) - [j14]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) - [c18]Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. ACML 2021: 932-947 - [c17]Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai:
Spectral Clustering Joint Deep Embedding Learning by Autoencoder. IJCNN 2021: 1-7 - [i4]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Divide-and-conquer based Large-Scale Spectral Clustering. CoRR abs/2104.15042 (2021) - [i3]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
LSEC: Large-scale spectral ensemble clustering. CoRR abs/2106.09852 (2021) - [i2]Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai:
Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density. CoRR abs/2112.05395 (2021) - 2020
- [j13]Xiucai Ye, Weihang Zhang, Tetsuya Sakurai:
Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer. IEEE Access 8: 154354-154362 (2020) - [j12]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): 11-23 (2020) - [j11]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: 103660 (2020) - [j10]Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Multiclass spectral feature scaling method for dimensionality reduction. Intell. Data Anal. 24(6): 1273-1287 (2020) - [j9]Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai:
An oversampling framework for imbalanced classification based on Laplacian eigenmaps. Neurocomputing 399: 107-116 (2020) - [c16]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Ensemble Learning for Spectral Clustering. ICDM 2020: 1094-1099 - [c15]Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Hubness-based Sampling Method for Nyström Spectral Clustering. IJCNN 2020: 1-8 - [c14]Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. PKAW 2020: 14-29
2010 – 2019
- 2019
- [j8]Zhiqiang Ruan, Xiucai Ye:
Cost-Optimized Video Dissemination Over Heterogeneous Cloud With SLAs Support. IEEE Access 7: 42874-42888 (2019) - [c13]Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai:
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. AAAI 2019: 3910-3918 - [c12]Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai:
Distributed Collaborative Feature Selection Based on Intermediate Representation. IJCAI 2019: 4142-4149 - [i1]Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Multiclass spectral feature scaling method for dimensionality reduction. CoRR abs/1910.07174 (2019) - 2018
- [j7]Xiucai Ye, Tetsuya Sakurai:
Spectral clustering with adaptive similarity measure in Kernel space. Intell. Data Anal. 22(4): 751-765 (2018) - [j6]Xiucai Ye, Tetsuya Sakurai:
Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning. J. Univers. Comput. Sci. 24(6): 725-741 (2018) - [c11]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: 1731-1737 - 2017
- [j5]Xiucai Ye, Tetsuya Sakurai:
Feature Selection via Embedded Learning Based on Tangent Space Alignment for Microarray Data. J. Comput. Sci. Eng. 11(4): 121-129 (2017) - [c10]Xiucai Ye, Tetsuya Sakurai:
Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis. ICMHI 2017: 101-106 - [c9]Xiucai Ye, Tetsuya Sakurai:
Similarity Measure Based on Adaptive Neighbors for Spectral Clustering. ICMLC 2017: 405-409 - 2016
- [c8]Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai:
Spectral clustering and discriminant analysis for unsupervised feature selection. ESANN 2016 - [c7]Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai:
Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation. FLAIRS 2016: 454-459 - 2015
- [j4]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): 295-309 (2015) - [j3]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): 239-248 (2015) - [j2]Jing Zhang, Li Xu, Shuming Zhou, Xiucai Ye:
A novel sleep scheduling scheme in green wireless sensor networks. J. Supercomput. 71(3): 1067-1094 (2015) - [c6]Xiucai Ye, Tetsuya Sakurai:
Spectral clustering using robust similarity measure based on closeness of shared Nearest Neighbors. IJCNN 2015: 1-8 - [c5]Xiucai Ye, Jie Li, Wen-Tsuen Chen, Feilong Tang:
LT codes based distributed coding for efficient distributed storage in Wireless Sensor Networks. Networking 2015: 1-9 - 2014
- [j1]Xiucai Ye, Jie Li, Li Xu:
Distributed Separate Coding for Continuous Data Collection in Wireless Sensor Networks. ACM Trans. Sens. Networks 11(1): 17:1-17:26 (2014) - 2013
- [c4]Xiucai Ye, Jie Li, Li Xu:
Group Data Collection in wireless sensor networks with a mobile base station. WCNC 2013: 1133-1138 - 2012
- [c3]Li Xu, Zhibin Zeng, Xiucai Ye:
Multi-objective Optimization Based Virtual Resource Allocation Strategy for Cloud Computing. ACIS-ICIS 2012: 56-61 - [c2]Jie Li, Xiucai Ye, Li Xu:
A Novel Data Collection Scheme for WSNs. VTC Spring 2012: 1-5 - 2011
- [c1]Jie Li, Xiucai Ye, Yusheng Ji:
A Novel Network Coding Scheme for Data Collection in WSNs with a Mobile BS. DNIS 2011: 296-311
Coauthor Index
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last updated on 2024-08-23 19:20 CEST by the dblp team
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