Leyi Wei

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 92

Top Topics

Ensemble Classifier

Feature Representation

Top Venues

Briefings Bioinform.

Comput. Biol. Medicine

Publications

Xuetong Yang, Junru Jin, Ruheng Wang, Zhongshen Li, Yu Wang, Leyi Wei
CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence Only. J. Chem. Inf. Model. 64 (7) (2024)
Ding Wang, Junru Jin, Zhongshen Li, Yu Wang, Mushuang Fan, Sirui Liang, Ran Su, Leyi Wei
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides. Bioinform. 40 (2) (2024)
Tianshuo Wang, Ruheng Wang, Leyi Wei
AttenSyn: An Attention-Based Deep Graph Neural Network for Anticancer Synergistic Drug Combination Prediction. J. Chem. Inf. Model. 64 (7) (2024)
Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu
Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones. CoRR (2024)
Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. CoRR (2024)
Chenglin Yin, Ruheng Wang, Jianbo Qiao, Hua Shi, Hongliang Duan, Xinbo Jiang, Saisai Teng, Leyi Wei
NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection. Bioinform. 40 (2) (2024)
Jiashuo Zhang, Ruheng Wang, Leyi Wei
MucLiPred: Multi-Level Contrastive Learning for Predicting Nucleic Acid Binding Residues of Proteins. J. Chem. Inf. Model. 64 (3) (2024)
Jianbo Qiao, Junru Jin, Haoqing Yu, Leyi Wei
Towards retraining-free RNA modification prediction with incremental learning. Inf. Sci. 660 (2024)
Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. Expert Syst. Appl. 238 (Part E) (2024)
Chao Pang, Jianbo Qiao, Xiangxiang Zeng, Quan Zou, Leyi Wei
Drug Molecule Generation. J. Chem. Inf. Model. 64 (7) (2024)
Haoqing Yu, Ruheng Wang, Jianbo Qiao, Leyi Wei
Multi-CGAN: Deep Generative Model-Based Multiproperty Antimicrobial Peptide Design. J. Chem. Inf. Model. 64 (1) (2024)
Sirui Liang, Yanxi Zhao, Junru Jin, Jianbo Qiao, Ding Wang, Yu Wang, Leyi Wei
Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications. Comput. Biol. Medicine 164 (2023)
Zhongshen Li, Junru Jin, Wentao Long, Leyi Wei
PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language model. Comput. Biol. Medicine 164 (2023)
Yu Wang, Jingjie Zhang, Junru Jin, Leyi Wei
MolCAP: Molecular Chemical reActivity Pretraining and prompted-finetuning enhanced molecular representation learning. Comput. Biol. Medicine 167 (2023)
Qiangguo Jin, Changjiang Zou, Hui Cui, Changming Sun, Shu-Wei Huang, Yi-Jie Kuo, Ping Xuan, Leilei Cao, Ran Su, Leyi Wei, Henry B. L. Duh, Yu-Pin Chen
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information. MICCAI (6) (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)
Yitian Fang, Fan Xu, Lesong Wei, Yi Jiang, Jie Chen, Leyi Wei, Dong-Qing Wei
AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning. Briefings Bioinform. 24 (1) (2023)
Zhongshen Li, Junru Jin, Yu Wang, Wentao Long, Yuanhao Ding, Haiyan Hu, Leyi Wei
ExamPle: explainable deep learning framework for the prediction of plant small secreted peptides. Bioinform. 39 (3) (2023)
Qiangguo Jin, Hui Cui, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans. BIBM (2023)
Yu Wang, Jingjie Zhang, Junru Jin, Leyi Wei
MolCAP: Molecular Chemical reActivity pretraining and prompted-finetuning enhanced molecular representation learning. CoRR (2023)
Qingxin Wei, Ruheng Wang, Yi Jiang, Leyi Wei, Yu Sun, Jie Geng, Ran Su
ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy. Comput. Biol. Medicine 167 (2023)
Cheng Wang, Chuang Yuan, Yahui Wang, Ranran Chen, Yuying Shi, Tao Zhang, Fuzhong Xue, Gary J. Patti, Leyi Wei, Qingzhen Hou
MPI-VGAE: protein-metabolite enzymatic reaction link learning by variational graph autoencoders. Briefings Bioinform. 24 (4) (2023)
Chao Pang, Henry H. Y. Tong, Leyi Wei
Advanced deep learning methods for molecular property prediction. Quant. Biol. 11 (4) (2023)
Yitian Fang, Yi Jiang, Leyi Wei, Qin Ma, Zhixiang Ren, Qianmu Yuan, Dong-Qing Wei
DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model. Bioinform. 39 (12) (2023)
Jiayue Hu, Yu Wang, Chao Pang, Junru Jin, Nhat Truong Pham, Balachandran Manavalan, Leyi Wei
DrugormerDTI: Drug Graphormer for drug-target interaction prediction. Comput. Biol. Medicine 161 (2023)
Saisai Teng, Chenglin Yin, Yu Wang, Xiandong Chen, Zhongmin Yan, Lizhen Cui, Leyi Wei
MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction. Comput. Biol. Medicine 164 (2023)
Shuting Jin, Yue Hong, Li Zeng, Yinghui Jiang, Yuan Lin, Leyi Wei, Zhuohang Yu, Xiangxiang Zeng, Xiangrong Liu
A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks. PLoS Comput. Biol. 19 (11) (2023)
Qiangguo Jin, Hui Cui, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su
Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement. MICCAI (2) (2022)
Kenta Nakai, Leyi Wei
Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics. Frontiers Bioinform. 2 (2022)
Ran Su, Yingying Zhu, Quan Zou, Leyi Wei
Distant metastasis identification based on optimized graph representation of gene interaction patterns. Briefings Bioinform. 23 (1) (2022)
Hao Wu, Pengyu Zhang, Zhaoheng Ai, Leyi Wei, Hongming Zhang, Fan Yang, Lizhen Cui
StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies. Briefings Bioinform. 23 (2) (2022)
Zhen Zhong, Guobao Xiao, Shiping Wang, Leyi Wei, Xiaoqin Zhang
PESA-Net: Permutation-Equivariant Split Attention Network for correspondence learning. Inf. Fusion 77 (2022)
Fengsheng Wang, Leyi Wei
MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization. CoRR (2022)
Tianling Liu, Ran Su, Changming Sun, Xiuting Li, Leyi Wei
EOCSA: Predicting prognosis of Epithelial ovarian cancer with whole slide histopathological images. Expert Syst. Appl. 206 (2022)
Chao Pang, Yu Wang, Yi Jiang, Ruheng Wang, Ran Su, Leyi Wei
Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery. CoRR (2022)
Jiaqi Liao, Haoyang Chen, Lesong Wei, Leyi Wei
GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information. Comput. Biol. Medicine 150 (2022)
Guobao Xiao, Huan Luo, Kun Zeng, Leyi Wei, Jiayi Ma
Robust Feature Matching for Remote Sensing Image Registration via Guided Hyperplane Fitting. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Ran Su, Yixuan Huang, De-gan Zhang, Guobao Xiao, Leyi Wei
SRDFM: Siamese Response Deep Factorization Machine to improve anti-cancer drug recommendation. Briefings Bioinform. 23 (2) (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)
Ruheng Wang, Junru Jin, Quan Zou, Kenta Nakai, Leyi Wei
Predicting protein-peptide binding residues via interpretable deep learning. Bioinform. 38 (13) (2022)
Ran Su, Haitang Yang, Leyi Wei, Siqi Chen, Quan Zou
A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data. PLoS Comput. Biol. 18 (9) (2022)
Wenjia He, Yi Jiang, Junru Jin, Zhongshen Li, Jiaojiao Zhao, Balachandran Manavalan, Ran Su, Xin Gao, Leyi Wei
Accelerating bioactive peptide discovery via mutual information-based meta-learning. Briefings Bioinform. 23 (1) (2022)
Tianling Liu, Ran Su, Changming Sun, Xiuting Li, Leyi Wei
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images. CoRR (2022)
Qiaosen Su, Fengsheng Wang, Dong Chen, Gang Chen, Chao Li, Leyi Wei
Deep convolutional neural networks with ensemble learning and transfer learning for automated detection of gastrointestinal diseases. Comput. Biol. Medicine 150 (2022)
Yu Wang, Chao Pang, Yuzhe Wang, Yi Jiang, Junru Jin, Sirui Liang, Quan Zou, Leyi Wei
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning. CoRR (2022)
Zengchao Mu, Ting Yu, Xiaoping Liu, Hongyu Zheng, Leyi Wei, Juntao Liu
FEGS: a novel feature extraction model for protein sequences and its applications. BMC Bioinform. 22 (1) (2021)
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)
Feifei Cui, Quan Zou, Qin Ma, Leyi Wei, Jijun Tang, Dariusz Mrozek
IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large-Scale Biological Sequence Analysis. IEEE Access 9 (2021)
Wenjia He, Yu Wang, Lizhen Cui, Ran Su, Leyi Wei
Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides. Bioinform. 37 (24) (2021)
Ran Su, Huichen Wu, Xinyi Liu, Leyi Wei
Predicting drug-induced hepatotoxicity based on biological feature maps and diverse classification strategies. Briefings Bioinform. 22 (1) (2021)
Ran Su, Xiaoying Liu, Qiangguo Jin, Xiaofeng Liu, Leyi Wei
Identification of glioblastoma molecular subtype and prognosis based on deep MRI features. Knowl. Based Syst. 232 (2021)
Shaherin Basith, Md. Mehedi Hasan, Gwang Lee, Leyi Wei, Balachandran Manavalan
Integrative machine learning framework for the identification of cell-specific enhancers from the human genome. Briefings Bioinform. 22 (6) (2021)
Leyi Wei, Wenjia He, Adeel Malik, Ran Su, Lizhen Cui, Balachandran Manavalan
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework. Briefings Bioinform. 22 (4) (2021)
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. Expert Syst. Appl. 176 (2021)
Jin Liu, Ran Su, Jiahang Zhang, Leyi Wei
Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network. Briefings Bioinform. 22 (5) (2021)
Xiao Cao, Wenjia He, Zitan Chen, Yifan Li, Kexin Wang, Hongbo Zhang, Lesong Wei, Lizhen Cui, Ran Su, Leyi Wei
PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture. Briefings Bioinform. 22 (6) (2021)
Yingying Yu, Wenjia He, Junru Jin, Guobao Xiao, Lizhen Cui, Rao Zeng, Leyi Wei
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization. Bioinform. 37 (24) (2021)
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. CoRR (2021)
Jing Li, Leyi Wei, Fei Guo, Quan Zou
EP3: an ensemble predictor that accurately identifies type III secreted effectors. Briefings Bioinform. 22 (2) (2021)
Ran Su, Linlin He, Tianling Liu, Xiaofeng Liu, Leyi Wei
Protein subcellular localization based on deep image features and criterion learning strategy. Briefings Bioinform. 22 (4) (2021)
Chichi Dai, Pengmian Feng, Lizhen Cui, Ran Su, Wei Chen, Leyi Wei
Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites. Briefings Bioinform. 22 (4) (2021)
Ran Su, Jie Hu, Quan Zou, Balachandran Manavalan, Leyi Wei
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools. Briefings Bioinform. 21 (2) (2020)
Fuyi Li, Cunshuo Fan, Tatiana T. Marquez-Lago, André Leier, Jerico Nico De Leon Revote, Cangzhi Jia, Yan Zhu, Alexander Ian Smith, Geoffrey I. Webb, Quanzhong Liu, Leyi Wei, Jian Li, Jiangning Song
PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact. Briefings Bioinform. 21 (3) (2020)
Ran Su, Jiahang Zhang, Xiaofeng Liu, Leyi Wei
Identification of expression signatures for non-small-cell lung carcinoma subtype classification. Bioinform. 36 (2) (2020)
Bing Rao, Chen Zhou, Guoying Zhang, Ran Su, Leyi Wei
ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides. Briefings Bioinform. 21 (5) (2020)
Ran Su, Tianling Liu, Changming Sun, Qiangguo Jin, Rachid Jennane, Leyi Wei
Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses. Neurocomputing 385 (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)
Ran Su, Xinyi Liu, Leyi Wei
MinE-RFE: determine the optimal subset from RFE by minimizing the subset-accuracy-defined energy. Briefings Bioinform. 21 (2) (2020)
Zengyan Hong, Xiangxiang Zeng, Leyi Wei, Xiangrong Liu
Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism. Bioinform. 36 (4) (2020)
Leyi Wei, Jie Hu, Fuyi Li, Jiangning Song, Ran Su, Quan Zou
Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms. Briefings Bioinform. 21 (1) (2020)
Ran Su, Xinyi Liu, Guobao Xiao, Leyi Wei
Meta-GDBP: a high-level stacked regression model to improve anticancer drug response prediction. Briefings Bioinform. 21 (3) (2020)
Jianhua Cai, Leyi Wei, Kun Zeng, Guobao Xiao
Identification and Prediction of Key Nucleotide Sites Using Machine Learning in Bioinformatics: A Brief Overview. ISPA/BDCloud/SocialCom/SustainCom (2019)
Leyi Wei, Pengwei Xing, Gaotao Shi, Zhiliang Ji, Quan Zou
Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Leyi Wei, Shasha Luan, Luis Augusto Eijy Nagai, Ran Su, Quan Zou
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species. Bioinform. 35 (8) (2019)
Ran Su, Huichen Wu, Bo Xu, Xiaofeng Liu, Leyi Wei
Developing a Multi-Dose Computational Model for Drug-Induced Hepatotoxicity Prediction Based on Toxicogenomics Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Leyi Wei, Chen Zhou, Ran Su, Quan Zou
PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning. Bioinform. 35 (21) (2019)
Leyi Wei, Ran Su, Bing Wang, Xiuting Li, Quan Zou, Xing Gao
-methyladenosine sites. Neurocomputing 324 (2019)
Yanzhen Xu, Xiaohan Zhao, Shuai Liu, Shichao Liu, Yanqing Niu, Wen Zhang, Leyi Wei
LncPred-IEL: A Long Non-coding RNA Prediction Method using Iterative Ensemble Learning. BIBM (2019)
Guobao Xiao, Kun Zeng, Leyi Wei, Tao Wang, Taotao Lai
Discriminant Affinity Matrix for Deterministic Motion Trajectory Segmentation. IEEE Access 7 (2019)
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Leyi Wei, Gwang Lee
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation. Bioinform. 35 (16) (2019)
Qiangguo Jin, Zhaopeng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su
DUNet: A deformable network for retinal vessel segmentation. Knowl. Based Syst. 178 (2019)
Leyi Wei, Ran Su, Shasha Luan, Zhijun Liao, Balachandran Manavalan, Quan Zou, Xiaolong Shi
Iterative feature representations improve N4-methylcytosine site prediction. Bioinform. 35 (23) (2019)
Qiangguo Jin, Zhao-Peng Meng, Changming Sun, Leyi Wei, Ran Su
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans. CoRR (2018)
Leyi Wei, Yijie Ding, Ran Su, Jijun Tang, Quan Zou
Prediction of human protein subcellular localization using deep learning. J. Parallel Distributed Comput. 117 (2018)
Ran Su, Weijun Chen, Leyi Wei, Xiuting Li, Qiangguo Jin, Wenyuan Tao
Encoded Texture Features to Characterize Bone Radiograph Images. ICPR (2018)
Leyi Wei, Chen Zhou, Huangrong Chen, Jiangning Song, Ran Su
ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides. Bioinform. 34 (23) (2018)
Qiangguo Jin, Zhao-Peng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su
DUNet: A deformable network for retinal vessel segmentation. CoRR (2018)
Leyi Wei, Jijun Tang, Quan Zou
Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information. Inf. Sci. 384 (2017)
Leyi Wei, Shixiang Wan, Jiasheng Guo, Kelvin Kian Loong Wong
A novel hierarchical selective ensemble classifier with bioinformatics application. Artif. Intell. Medicine 83 (2017)
Leyi Wei, Pengwei Xing, Jian-Cang Zeng, Jin-Xiu Chen, Ran Su, Fei Guo
Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier. Artif. Intell. Medicine 83 (2017)
Leyi Wei, Minghong Liao, Xing Gao, Jingjing Wang, Weiqi Lin
mGOF-loc: A novel ensemble learning method for human protein subcellular localization prediction. Neurocomputing 217 (2016)
Leyi Wei, Bowen Zhang, Zhiyong Chen, Xing Gao, Minghong Liao
Exploring local discriminative information from evolutionary profiles for cytokine-receptor interaction prediction. Neurocomputing 217 (2016)
Leyi Wei, Minghong Liao, Yue Gao, Rongrong Ji, Zengyou He, Quan Zou
Improved and Promising Identificationof Human MicroRNAs by Incorporatinga High-Quality Negative Set. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (1) (2014)