Document representation combining concepts and words in Chinese text categorization. - Chao Che; HongFei Teng (NLPKE, 2009)

Extracting historical terms based on aligned Chinese-English parallel corpora. - Xiuying Li; Chao Che; Limin Han; Xiaoxia Liu (NLPKE, 2009)

Corpus-based Extraction of Chinese Historical Term Translation Equivalents. - Xiuying Li; Chao Che; Xiaoxia Liu; Hongfei Lin; Rongpei Wang (Int. J. Asian Lang. Process., 2010)

Sentence Alignment of Historical Classics based on Mode Prediction and Term Translation Pairs. - Chao Che; Xiaojun Zheng (CIPS-SIGHAN, 2014)

Smart Partitioning for Product DSM Model Based on Improved Genetic Algorithm. - Yangjie Zhou 002; Chao Che; Jianxin Zhang 001; Qiang Zhang 008; Xiaopeng Wei (ADMA, 2014)

Sentence Alignment Method Based on Maximum Entropy Model Using Anchor Sentences. - Chao Che; Wenwen Guo; Jianxin Zhang (CCL, 2016)

Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods. - Bo Jin 001; Chao Che; Kuifei Yu; Yue Qu; Li Guo 008; Cuili Yao; Ruiyun Yu; Qiang Zhang 008 (KDD, 2016)

LSTM based classification model and its application for doctor-patient relationship evaluation. - Hongrui Kuang; Chao Che; Qiang Zhang 008; Xiaopeng Wei (Healthcom, 2017)

An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. - Chao Che; Cao Xiao; Jian Liang 002; Bo Jin 001; Jiayu Zho; Fei Wang 001 (SDM, 2017)

Term Translation Extraction from Historical Classics Using Modern Chinese Explanation. - Xiaoting Wu; Hanyu Zhao; Chao Che (CCL, 2018)

Predicting the Risk of Heart Failure With EHR Sequential Data Modeling. - Bo Jin 001; Chao Che; Zhen Liu; Shulong Zhang; Xiaomeng Yin; Xiaopeng Wei (IEEE Access, 2018)

The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations. - Xi Zhang; Dandi Chen; Yongjun Zhu; Chao Che; Chang Su 002; Sendong Zhao; Xu Min; Fei Wang 001 (CoRR, 2018)

Chinese Historical Term Translation Pairs Extraction Using Modern Chinese as a Pivot Language. - Xiaoting Wu; Hanyu Zhao; Lei Jing; Chao Che (CCL, 2019)

Pulmonary Nodule Detection Based on Multi-branch 3D Squeeze-and-Excitation Network. - Yuechao Zhang; Jianxin Zhang 001; Chao Che; Kai Lin; Dongsheng Zhou; Qiang Zhang 008; Xiaopeng Wei (DASC/PiCom/DataCom/CyberSciTech, 2019)

Second-Order Pooling Deep Hashing for Image Retrieval. - Yongchao Yang; Jingdong Cheng; Chao Che; Jianxin Zhang; Lin Shan (ICIG (3), 2019)

A Word Segmentation Method of Ancient Chinese Based on Word Alignment. - Chao Che; Hanyu Zhao; Xiaoting Wu; Dongsheng Zhou; Qiang Zhang 008 (NLPCC (1), 2019)

Nine Million Books and Eleven Million Citations: A Study of Book-Based Scholarly Communication Using OpenCitations. - Yongjun Zhu; Erjia Yan; Silvio Peroni; Chao Che (CoRR, 2019)

Breast Cancer Histopathological Image Classification Based on Convolutional Neural Networks. - Jianxin Zhang 001; Xiangguo Wei; Chao Che; Qiang Zhang 008; Xiaopeng Wei (J. Medical Imaging Health Informatics, 2019)

Crossref metadata of COCI bibliographic resources, as of November 2018. - Yongjun Zhu; Erjia Yan; Silvio Peroni; Chao Che (Zenodo, 2019)

Crossref metadata of COCI bibliographic resources, as of November 2018 and LCC categories of the ISBN entities in the dataset. - Yongjun Zhu; Erjia Yan; Silvio Peroni; Chao Che (Zenodo, 2019)

Exploring Multi-level Mutual Information for Drug-target Interaction Prediction. - Jiatao Chen; Liang Zhang 031; Ke Cheng 003; Bo Jin 001; Xinjiang Lu; Chao Che; Yiwei Liu (BIBM, 2020)

A Protein Embedding Model for Drug Molecular Screening. - Chao Che; Min Zhu; Yongjun Zhu; Qiang Zhang 008; Dongsheng Zhou; Bin Wang 005 (BigComp, 2020)

Supervised Deep Second-Order Covariance Hashing for Image Retrieval. - Qian Wang; Yue Wu; Jianxin Zhang; Hengbo Zhang; Chao Che; Lin Shan (ICPCSEE (1), 2020)

Breast Cancer Histopathological Image Classification Based on Deep Second-order Pooling Network. - Jiasen Li; Jianxin Zhang 001; Qiule Sun; Hengbo Zhang; Jing Dong 009; Chao Che; Qiang Zhang 008 (IJCNN, 2020)

Knowledge-driven drug repurposing using a comprehensive drug knowledge graph. - Yongjun Zhu; Chao Che; Bo Jin 001; Ningrui Zhang; Chang Su 002; Fei Wang 001 (Health Informatics J., 2020)

Drug repurposing against Parkinson's disease by text mining the scientific literature. - Yongjun Zhu; Woojin Jung; Fei Wang 001; Chao Che (Libr. Hi Tech, 2020)

Nine million book items and eleven million citations: a study of book-based scholarly communication using OpenCitations. - Yongjun Zhu; Erjia Yan; Silvio Peroni; Chao Che (Scientometrics, 2020)

Aspect-Level Sentiment Classification of Chinese Patient Comments Based on Pre-trained Sentiment Embedding. - Yongxue Shan; Zhaoqian Zhong; Chao Che; Bo Jin 001; Xiaopeng Wei (BIBM, 2021)

Knowledge-Graph-Based Drug Repositioning against COVID-19 by Graph Convolutional Network with Attention Mechanism. - Mingxuan Che; Kui Yao; Chao Che; Zhangwei Cao; Fanchen Kong (Future Internet, 2021)

Drug Repurposing for Parkinson's Disease by Integrating Knowledge Graph Completion Model and Knowledge Fusion of Medical Literature. - Xiaolin Zhang; Chao Che (Future Internet, 2021)

Enriching limited information on rare diseases from heterogeneous networks for drug repositioning. - Hongkui Cao; Liang Zhang 031; Bo Jin 001; Shicheng Cheng; Xiaopeng Wei; Chao Che (BMC Medical Informatics Decis. Mak., 2021)

Constrained transformer network for ECG signal processing and arrhythmia classification. - Chao Che; Peiliang Zhang; Min Zhu; Yue Qu; Bo Jin 001 (BMC Medical Informatics Decis. Mak., 2021)

Hierarchical learning recurrent neural networks for 3D motion synthesis. - Dongsheng Zhou; Chongyang Guo; Rui Liu 015; Chao Che; Deyun Yang; Qiang Zhang 008; Xiaopeng Wei (Int. J. Mach. Learn. Cybern., 2021)

Breast cancer histopathology image classification based on dual-stream high-order network. - Ying Zou 015; Shannan Chen; Chao Che; Jianxin Zhang 001; Qiang Zhang 008 (Biomed. Signal Process. Control., 2022)

DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug-Target interaction prediction. - Peiliang Zhang; Ziqi Wei 001; Chao Che; Bo Jin 001 (Comput. Biol. Medicine, 2022)

Fusion learning-based recurrent neural network for human motion prediction. - Chongyang Guo; Rui Liu 015; Chao Che; Dongsheng Zhou; Qiang Zhang 008; Xiaopeng Wei (Intell. Serv. Robotics, 2022)

Recommendations with residual connections and negative sampling based on knowledge graphs. - Yuanyuan Liu; Zhaoqian Zhong; Chao Che; Yongjun Zhu (Knowl. Based Syst., 2022)

Bi-graph attention network for aspect category sentiment classification. - Yongxue Shan; Chao Che; Xiaopeng Wei; Xiaodong Wang; Yongjun Zhu; Bo Jin 001 (Knowl. Based Syst., 2022)

Harmonized system code prediction of import and export commodities based on Hybrid Convolutional Neural Network with Auxiliary Network. - Chengjie Zhou; Chao Che; Xi Sheryl Zhang; Qiang Zhang 008; Dongsheng Zhou (Knowl. Based Syst., 2022)

Dual Feature Fusion Tracking With Combined Cross-Correlation and Transformer. - Chao Che; Yanyun Fu; Wenxi Shi; Zhansheng Zhu; Deyong Wang (IEEE Access, 2023)

CariesFG: A fine-grained RGB image classification framework with attention mechanism for dental caries. - Hao Jiang; Peiliang Zhang; Chao Che; Bo Jin 001; Yongjun Zhu (Eng. Appl. Artif. Intell., 2023)

Transformer fast gradient method with relative positional embedding: a mutual translation model between English and Chinese. - Yuchen Li; Yongxue Shan; Zhuoya Liu; Chao Che; Zhaoqian Zhong (Soft Comput., 2023)

Predicting Drug-Target Interaction Via Self-Supervised Learning. - Jiatao Chen; Liang Zhang 031; Ke Cheng 003; Bo Jin 001; Xinjiang Lu; Chao Che (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Predicting coauthorship using bibliographic network embedding. - Yongjun Zhu; Lihong Quan; Pei-Ying Chen; Meen Chul Kim; Chao Che (J. Assoc. Inf. Sci. Technol., 2023)

IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction. - Peiliang Zhang; Jiatao Chen; Chao Che; Liang Zhang 031; Bo Jin 001; Yongjun Zhu (Inf. Sci., 2023)

B-LBConA: a medical entity disambiguation model based on Bio-LinkBERT and context-aware mechanism. - Siyu Yang; Peiliang Zhang; Chao Che; Zhaoqian Zhong (BMC Bioinform., 2023)

Diformer: A dynamic self-differential transformer for new energy power autoregressive prediction. - Chengjie Zhou; Chao Che; Pengfei Wang 013; Qiang Zhang 008 (Knowl. Based Syst., 2023)

Lightweight Camouflaged Object Detection Network Based on Feature Complementation and Enhancement. - Kangwei Liu; Xiuhong Li; Boyuan Li; Yuye Zhang; Chao Che (ICME, 2024)

A Color Image Encryption Algorithm Based on Complementary Map and Iterative Convolutional Code. - Yanlu Xie; Shihua Zhou; Hui Lv; Bin Wang 005; Chao Che; Qiang Zhang 008 (ICMLSC, 2024)

SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers. - Chengjie Zhou; Chao Che; Pengfei Wang 013; Qiang Zhang 008 (IJCAI, 2024)

OSGAN: Omni-scale and Global-aware ECG arrhythmia diagnostic network. - Chao Chen; Bo Jin; Chao Che; Ruixin Li (Biomed. Signal Process. Control., 2024)

JSCDS: A Core Data Selection Method with Jason-Shannon Divergence for Caries RGB Images-Efficient Learning. - Peiliang Zhang; Yujia Tong; Chenghu Du; Chao Che; Yongjun Zhu (CoRR, 2024)

Enhancing Autism Spectrum Disorder Early Detection with the Parent-Child Dyads Block-Play Protocol and an Attention-enhanced GCN-xLSTM Hybrid Deep Learning Framework. - Xiang Li; Lizhou Fan; Hanbo Wu; Kunping Chen; Xiaoxiao Yu; Chao Che; Zhifeng Cai; Xiuhong Niu; Aihua Cao; Xin Ma (CoRR, 2024)

SDDSynergy: Learning Important Molecular Substructures for Explainable Anticancer Drug Synergy Prediction. - Yunjiong Liu; Peiliang Zhang; Chao Che; Ziqi Wei 001 (J. Chem. Inf. Model., 2024)

NCH-DDA: Neighborhood contrastive learning heterogeneous network for drug-disease association prediction. - Peiliang Zhang; Chao Che; Bo Jin 001; Jingling Yuan; Ruixin Li; Yongjun Zhu (Expert Syst. Appl., 2024)

Translation model based on discrete Fourier transform and Skipping Sub-Layer methods. - Yuchen Li; Shuxu Chen; Zhuoya Liu; Chao Che; Zhaoqian Zhong (Int. J. Mach. Learn. Cybern., 2024)

SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug-drug interaction prediction. - Jing Zhu; Chao Che; Hao Jiang; Jian Xu; Jiajun Yin; Zhaoqian Zhong (BMC Bioinform., 2024)

Core Inter-Category Contrastive Learning for Enhancing Robustness of Caries Classification. - Peiliang Zhang; Yaru Chen; Yunjiong Liu; Chao Che; Yongjun Zhu (ICMR, 2025)

Enhancing autism spectrum disorder early detection with parent-child dyads block-play protocol and attention-enhanced hybrid deep learning framework. - Xiang Li; Lizhou Fan; Hanbo Wu; Kunping Chen; Xiaoxiao Yu; Chao Che; Zhifeng Cai; Xiuhong Niu; Aihua Cao; Xin Ma 001 (Eng. Appl. Artif. Intell., 2025)

Customs Commodity Classification Method Based on the Fusion of Text Sequence and Graph Information. - Haichao Sun; Chengjie Zhou; Chao Che (Expert Syst. J. Knowl. Eng., 2025)

MGTNSyn: Molecular structure-aware graph transformer network with relational attention for drug synergy prediction. - Yunjiong Liu; Peiliang Zhang; Dongyang Li; Chao Che; Bo Jin (Expert Syst. Appl., 2025)

Multi-Category Fusion Contrastive Learning with Core Data Selection for Robust RGB Image-based Dental Caries Classification. - Peiliang Zhang; Yaru Chen; Yunjiong Liu; Chao Che; Yongjun Zhu (Inf. Fusion, 2025)

A transformer-based framework for temporal health event prediction with graph-enhanced representations. - Tianci Liu 010; Lizhong Liang; Chao Che; Yunjiong Liu; Bo Jin (J. Biomed. Informatics, 2025)

MSTF: enhancing long-term forecasting with multi-scale temporal fusion in time series forecasting. - Chengjie Zhou; Ke Jiang; Yunjiong Liu; Chao Che; Qiang Zhang (J. Supercomput., 2025)