Non-Structured Materials Science Data Sharing Based on Semantic Annotation. - Changjun Hu; Chunping Ouyang; Jinbin Wu; Xiaoming Zhang; Chongchong Zhao (Data Sci. J., 2009)

Data Grid and GIS Technology for E-Science Application: A Case Study of Gas Network Safety Evaluation. - Chunping Ouyang; Changjun Hu; Zhenyu Liu (CISIS, 2010)

A Method of Building Virtual Datacenter Based on Semantic Views. - Huayu Li; Chunping Ouyang (ICEBE, 2011)

Component Interface Testing in Virtual Experiment for Visualization of Material Property Data. - Chuanzhi Liu; Chunping Ouyang; Yongbin Liu (IPDPS Workshops, 2012)

Refine Search Results Based on Desktop Context. - Xiaoyun Li; Ying Yu; Chunping Ouyang (NLPCC, 2015)

A Similarity Algorithm Based on the Generality and Individuality of Words. - Yinfeng Zou; Chunping Ouyang; Yongbin Liu; Xiaohua Yang; Ying Yu (NLPCC/ICCPOL, 2016)

Ensemble method to joint inference for knowledge extraction. - Yongbin Liu; Chunping Ouyang; Juanzi Li (Expert Syst. Appl., 2017)

Evaluating the granularity balance of hierarchical relationships within large biomedical terminologies towards quality improvement. - Lingyun Luo; Ling Tong 002; Xiaoxi Zhou; José Leonardo Villaraza Mejino Jr.; Chunping Ouyang; Yongbin Liu (J. Biomed. Informatics, 2017)

Main Point Generator: Summarizing with a Focus. - Tong Lee Chung; Bin Xu 001; Yongbin Liu; Chunping Ouyang (DASFAA (1), 2018)

A Multi-emotion Classification Method Based on BLSTM-MC in Code-Switching Text. - Tingwei Wang; Xiaohua Yang; Chunping Ouyang; Aodong Guo; Yongbin Liu; Zhixing Li (NLPCC (2), 2018)

A Hybrid Deep Learning Model for Text Classification. - Xianglong Chen; Chunping Ouyang; Yongbin Liu; Lingyun Luo; Xiaohua Yang (SKG, 2018)

edge2vec: Learning Node Representation Using Edge Semantics. - Zheng Gao 001; Gang Fu; Chunping Ouyang; Satoshi Tsutsui; Xiaozhong Liu; Ying Ding 001 (CoRR, 2018)

Few-Shot Learning for Crossing-Sentence Relation Classification. - Wen Wen; Yongbin Liu; Chunping Ouyang (IFTC, 2019)

edge2vec: Representation learning using edge semantics for biomedical knowledge discovery. - Zheng Gao 001; Gang Fu; Chunping Ouyang; Satoshi Tsutsui; Xiaozhong Liu; Jeremy J. Yang; Christopher Gessner; Brian Foote; David J. Wild 001; Ying Ding 001; Qi Yu 005 (BMC Bioinform., 2019)

Empirical study on character level neural network classifier for Chinese text. - Tong Lee Chung; Bin Xu 001; Yongbin Liu; Chunping Ouyang; Siliang Li; Lingyun Luo (Eng. Appl. Artif. Intell., 2019)

Hybrid Syntactic Graph Convolutional Networks for Chinese Event Detection. - Xiaobo Ma; Yongbin Liu; Chunping Ouyang (CCKS, 2020)

MTNE: A Multitext Aware Network Embedding for Predicting Drug-Drug Interaction. - Fuyu Hu; Chunping Ouyang; Yongbin Liu; Yi Bu 001 (NLPCC (1), 2020)

Enhanced prototypical network for few-shot relation extraction. - Wen Wen; Yongbin Liu; Chunping Ouyang; Qiang Lin; Tong Lee Chung (Inf. Process. Manag., 2021)

Context-aware Resemblance Detection based Deduplication Ratio Prediction for Cloud Storage. - Yuqing Geng; Wenlong Tian; Ruixuan Li 001; Weijun Xiao; Chunping Ouyang; Yongbin Liu; Qifei Liu; Jing Li; Xuming Ye; Zhiyong Xu 003 (BDCAT, 2022)

Hierarchical Modular Event Detection Based on Dependency Graph. - Wei Zhang; Chunping Ouyang; Yongbin Liu; Yaping Wan (CCKS, 2022)

Capturing semantic features to improve Chinese event detection. - Xiaobo Ma; Yongbin Liu; Chunping Ouyang (CAAI Trans. Intell. Technol., 2022)

Ensemble Making Few-Shot Learning Stronger. - Qiang Lin; Yongbin Liu; Wen Wen; Zhihua Tao; Chunping Ouyang; Yaping Wan (Data Intell., 2022)

CoVariance-based Causal Debiasing for Entity and Relation Extraction. - Lin Ren; Yongbin Liu; Yixin Cao 002; Chunping Ouyang (EMNLP (Findings), 2023)

Causal Intervention-based Few-Shot Named Entity Recognition. - Zhen Yang; Yongbin Liu; Chunping Ouyang (EMNLP (Findings), 2023)

Debiasing Medication Recommendation with Counterfactual Analysis. - Pei Tang; Chunping Ouyang; Yongbin Liu (ICONIP (10), 2023)

Causal Inference-Based Debiasing Framework for Knowledge Graph Completion. - Lin Ren; Yongbin Liu; Chunping Ouyang (ISWC, 2023)

Causal Interventions-based Few-Shot Named Entity Recognition. - Zhen Yang; Yongbin Liu; Chunping Ouyang (CoRR, 2023)

Three Heads Better than One: Pure Entity, Relation Label and Adversarial Training for Cross-domain Few-shot Relation Extraction. - Wenlong Fang; Chunping Ouyang; Qiang Lin; Yue Yuan (Data Intell., 2023)

Few-shot Named Entity Recognition with Joint Token and Sentence Awareness. - Wen Wen; Yongbin Liu; Qiang Lin; Chunping Ouyang (Data Intell., 2023)

Relational Topology-based Heterogeneous Network Embedding for Predicting Drug-Target Interactions. - Linlin Zhang; Chunping Ouyang; Fuyu Hu; Yongbin Liu; Zheng Gao 001 (Data Intell., 2023)

Counterfactual can be strong in medical question and answering. - Zhen Yang; Yongbin Liu; Chunping Ouyang; Lin Ren; Wen Wen (Inf. Process. Manag., 2023)

Joint span and token framework for few-shot named entity recognition. - Wenlong Fang; Yongbin Liu; Chunping Ouyang; Lin Ren; Jiale Li; Yaping Wan (AI Open, 2023)

Multi-head attention graph convolutional network model: End-to-end entity and relation joint extraction based on multi-head attention graph convolutional network. - Zhihua Tao; Chunping Ouyang; Yongbin Liu; Tong Lee Chung; Yixin Cao 002 (CAAI Trans. Intell. Technol., 2023)

PEGCN: A Single-Cell Type Annotation model based on GCN with Pseudo Labels and Ensemble Learning. - Chi Zhu; Fengcui Qian; Yongbin Liu; Ying Yu; Chunquan Li 002; Chunping Ouyang (BIBM, 2024)

Evaluating Human-Large Language Model Alignment in Group Process. - Yidong He; Yongbin Liu; Chunping Ouyang; Huan Liu; Wenyong Han; Yu Gao; Chi Zhu; Yi Tang; Jin Zhong; Shuda Zhou; Le Huang (NLPCC (2), 2024)

CouBRE: Counterfactual NLI For Low-Resource Biomedical Relation Extraction. - Jin Zhong; Yongbin Liu; Chunping Ouyang; Lin Ren; Chi Zhu; Yidong He (NLPCC (2), 2024)

Few-shot Named Entity Recognition via encoder and class intervention. - Long Ding; Chunping Ouyang; Yongbin Liu; Zhihua Tao; Yaping Wan; Zheng Gao 001 (AI Open, 2024)

Improving Few-Shot Named Entity Recognition with Causal Interventions. - Zhen Yang; Yongbin Liu; Chunping Ouyang; Shu Zhao; Chi Zhu (Big Data Min. Anal., 2024)

Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications. - Cui Long; Yongbin Liu; Chunping Ouyang; Ying Yu (CoRR, 2024)

DyLas: A dynamic label alignment strategy for large-scale multi-label text classification. - Lin Ren; Yongbin Liu; Chunping Ouyang; Ying Yu; Shuda Zhou; Yidong He; Yaping Wan (Inf. Fusion, 2025)

Counterfactual Debiased Co-Embedding Model for Enhanced Drug-Drug Interaction Prediction. - Xue Pan; Chunping Ouyang; Linlin Zhang; Yongbin Liu; Ying Yu (J. Comput. Biol., 2025)

Multimodal Drug Target Binding Affinity Prediction Using Graph Local Substructure. - Xun Peng; Chunping Ouyang; Yongbin Liu; Ying Yu; Jian K. Liu; Min Chen 028 (IEEE J. Biomed. Health Informatics, 2025)