FDUQA on TREC2003 QA task. - Lide Wu; Xuanjing Huang 001; Yaqian Zhou 001; Yongping Du; Lan You (TREC, 2003)

A Novel Pattern Learning Method for Open Domain Question Answering. - Yongping Du; Xuanjing Huang 001; Xin Li; Lide Wu (IJCNLP, 2004)

BBS Based Hot Topic Retrieval Using Back-Propagation Neural Network. - Lan You; Yongping Du; Jiayin Ge; Xuanjing Huang 001; Lide Wu (IJCNLP, 2004)

The Use of Metadata, Web-derived Answer Patterns and Passage Context to Improve Reading Comprehension Performance. - Yongping Du; Helen Meng; Xuanjing Huang 001; Lide Wu (HLT/EMNLP, 2005)

Mining the Semantic Information to Facilitate Reading Comprehension. - Yongping Du; Ming He 001; Naiwen Ye (ICIC (1), 2007)

Multi-Strategy to Improve Reading Comprehension. - Yongping Du; Ming He 001 (CIS (1), 2008)

Pattern Optimization and the Application in Question Answering. - Yongping Du; Ming He 001 (ISDA (2), 2008)

P-top-k queries in probabilistic framework from information extraction models. - Ming He 001; Yongping Du (FSKD, 2010)

Uncertain Queries Processing in Probabilistic Framework. - Ming He 001; Yongping Du (J. Comput., 2010)

p-top-k queries in a probabilistic framework from information extraction models. - Ming He 001; Yongping Du (Comput. Math. Appl., 2011)

Performance Evaluation of the Cyberspace Public Opinion Detection and Tracking. - Yongping Du; Changqing Yao (J. Comput., 2012)

Using heterogeneous patent network features to rank and discover influential inventors. - Yongping Du; Chang-qing Yao; Nan Li (Frontiers Inf. Technol. Electron. Eng., 2015)

A novel serial deep multi-task learning model for large scale biomedical semantic indexing. - Yongping Du; Yunpeng Pan; Junzhong Ji (BIBM, 2017)

基于特征扩展与深度学习的短文本情感判定方法 (Method of Short Text Opinion Recognition Based on Feature Extension and Deep Learning). - Yongping Du; Shouqin Chen; Xiaozheng Zhao (计算机科学, 2017)

A new item-based deep network structure using a restricted Boltzmann machine for collaborative filtering. - Yongping Du; Chang-qing Yao; Shu-hua Huo; Jing-xuan Liu (Frontiers Inf. Technol. Electron. Eng., 2017)

Hierarchical Multi-layer Transfer Learning Model for Biomedical Question Answering. - Yongping Du; Bingbing Pei; Xiaozheng Zhao; Junzhong Ji (BIBM, 2018)

Biomedical semantic indexing by deep neural network with multi-task learning. - Yongping Du; Yunpeng Pan; Chencheng Wang; Junzhong Ji (BMC Bioinform., 2018)

Hierarchy construction and text classification based on the relaxation strategy and least information model. - Yongping Du; Jingxuan Liu; Weimao Ke; Xuemei Gong (Expert Syst. Appl., 2018)

Hierarchical Question-Aware Context Learning with Augmented Data for Biomedical Question Answering. - Yongping Du; Wenyang Guo; Yiliang Zhao (BIBM, 2019)

A Novel Capsule Based Hybrid Neural Network for Sentiment Classification. - Yongping Du; Xiaozheng Zhao; Meng He 009; Wenyang Guo (IEEE Access, 2019)

Controllable Data Synthesis Method for Grammatical Error Correction. - Chencheng Wang; Liner Yang; Yun Chen 007; Yongping Du; Erhong Yang (CoRR, 2019)

Classification by multi-semantic meta path and active weight learning in heterogeneous information networks. - Yongping Du; Wenyang Guo; Jingxuan Liu; Changqing Yao (Expert Syst. Appl., 2019)

Hierarchy construction and classification of heterogeneous information networks based on RSDAEf. - Jinli Zhang; Zongli Jiang; Yongping Du; Tong Li 001; Yida Wang; Xiaohua Hu 001 (Data Knowl. Eng., 2020)

Improving interpretability of word embeddings by generating definition and usage. - Haitong Zhang; Yongping Du; Jiaxin Sun; Qingxiao Li (Expert Syst. Appl., 2020)

Multi-task transfer learning for biomedical machine reading comprehension. - Wenyang Guo; Yongping Du; Yiliang Zhao; Keyan Ren (Int. J. Data Min. Bioinform., 2020)

Wasserstein based transfer network for cross-domain sentiment classification. - Yongping Du; Meng He 009; Lulin Wang; Haitong Zhang (Knowl. Based Syst., 2020)

Biomedical-domain pre-trained language model for extractive summarization. - Yongping Du; Qingxiao Li; Lulin Wang; Yanqing He (Knowl. Based Syst., 2020)

Dual Model Weighting Strategy and Data Augmentation in Biomedical Question Answering. - Yongping Du; Jingya Yan; Yiliang Zhao; Yuxuan Lu 003; Xingnan Jin (BIBM, 2021)

Review-based hierarchical attention cooperative neural networks for recommendation. - Yongping Du; Lulin Wang; Zhi Peng; Wenyang Guo (Neurocomputing, 2021)

Contextual embedding and model weighting by fusing domain knowledge on biomedical question answering. - Yuxuan Lu 003; Jingya Yan; Zhixuan Qi; Zhongzheng Ge; Yongping Du (BCB, 2022)

A unified hierarchical attention framework for sequential recommendation by fusing long and short-term preferences. - Yongping Du; Zhi Peng; Jinyu Niu; Jingya Yan (Expert Syst. Appl., 2022)

Controllable data synthesis method for grammatical error correction. - Liner Yang; Chengcheng Wang; Yun Chen 007; Yongping Du; Erhong Yang (Frontiers Comput. Sci., 2022)

A multiview graph collaborative filtering by incorporating homogeneous and heterogeneous signals. - Jianxing Zheng; Sen Chen; Yongping Du; Peng Song (Inf. Process. Manag., 2022)

Gated attention fusion network for multimodal sentiment classification. - Yongping Du; Yang Liu; Zhi Peng; Xingnan Jin (Knowl. Based Syst., 2022)

Low-Resource Efficient Multi-Stage Tuning Strategy for Biomedical Question Answering Task. - Binrui Wang; Yongping Du; Xingnan Jin; Rui Yan; Qi Zhang (BIBM, 2023)

Improving Biomedical Question Answering by Data Augmentation and Model Weighting. - Yongping Du; Jingya Yan; Yuxuan Lu 003; Yiliang Zhao; Xingnan Jin (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Sentiment enhanced answer generation and information fusing for product-related question answering. - Yongping Du; Xingnan Jin; Rui Yan; Jingya Yan (Inf. Sci., 2023)

Fixed-time event-triggered fuzzy adaptive control for uncertain nonlinear systems with full-state constraints. - Chen Wang 116; Jianhui Wang 003; Yongping Du; Chunliang Zhang; Zhi Liu 001; C. L. Philip Chen (Inf. Sci., 2023)

Spatial oblivion channel attention targeting intra-class diversity feature learning. - Honggui Han; Qiyu Zhang; Fangyu Li; Yongping Du (Neural Networks, 2023)

Ant Colony Algorithm Based on Total Logistics Delivery Efficiency Metrics for Crowdsourced On-Demand Delivery. - Ying Hou; Xuemin Oin; Honggui Han; Yanting Huang; Yongping Du (ASCC, 2024)

Few-Shot Waste Detection Based on Dual Attention and Dynamic Hard Sample Triplet Loss. - Zhengzhen Li; Kun Ren; Bo Feng; Yongping Du; Ying Hou; Honggui Han (ASCC, 2024)

Adaptive Sparse Semantic Representation for Waste Electrical Appliance Recognition. - Yiming Liu; Honggui Han; Fangyu Li; Yongping Du (ASCC, 2024)

Efficient Differentiable Architecture Search with Backbone and FPN for Object Detection. - Qiyu Zhang; Hongui Han; Fangyu Li; Yongping Du (ASCC, 2024)

Improving Multi-Agent Path Finding via Multi Visual Model and Channel. - Bochao Zhang; Binrui Wang; Yongping Du; Fangyu Li; Honggui Han (ASCC, 2024)

A Novel RAG Framework with Knowledge-Enhancement for Biomedical Question Answering. - Yongping Du; Zikai Wang; Binrui Wang; Xingnan Jin; Yu Pei (BIBM, 2024)

Few-shot Object Detection with Fine-grained Support Information Guidance. - Kun Ren; Furong Ren; Honggui Han; Yongping Du; Ying Hou (CVDL, 2024)

Enhancement of medical report generation by multi-scale image deblurring strategy. - Yuxin Wang; Yongping Du; Shaorou Tang (IJCNN, 2024)

Adversarial Entity Graph Convolutional Networks for multi-hop inference question answering. - Yongping Du; Rui Yan; Ying Hou; Yu Pei; Honggui Han (Expert Syst. Appl., 2024)

Cross-biased contrastive learning for answer selection with dual-tower structure. - Xingnan Jin; Yongping Du; Binrui Wang; Qi Zhang (Neurocomputing, 2024)

Federated learning via reweighting information bottleneck with domain generalization. - Fangyu Li; Xuqiang Chen; Zhu Han 001; Yongping Du; Honggui Han (Inf. Sci., 2024)

Multi-stage knowledge distillation for sequential recommendation with interest knowledge. - Yongping Du; Jinyu Niu; Yuxin Wang; Xingnan Jin (Inf. Sci., 2024)

Prompt template construction by Average Gradient Search with External Knowledge for aspect sentimental analysis. - Yongping Du; Zihao Yin; Runfeng Xie; Qi Zhang (Expert Syst. Appl., 2024)

A tensor based price evaluation approach for the used mobile phone recycling. - Xing Su 001; Xingyan Shi; Yongping Du; Honggui Han (Expert Syst. Appl., 2024)

Multi-layer cross-modality attention fusion network for multimodal sentiment analysis. - Zihao Yin; Yongping Du; Yang Liu; Yuxin Wang (Multim. Tools Appl., 2024)

Distributed Hierarchical Temporal Graph Learning for Communication-Efficient High-Dimensional Industrial IoT Modeling. - Fangyu Li; Junnuo Lin; Yu Wang 003; Yongping Du; Honggui Han (IEEE Internet Things J., 2024)

Adaptive Ant Colony Optimization Algorithm Based on Real-Time Logistics Features for Instant Delivery. - Ying Hou; Xinyu Guo; Honggui Han; Jingjing Wang; Yongping Du (IEEE Trans. Cybern., 2024)

FMCF: Few-shot Multimodal aspect-based sentiment analysis framework based on Contrastive Finetuning. - Yongping Du; Runfeng Xie; Bochao Zhang; Zihao Yin (Appl. Intell., 2024)

Graph-Augmented Retrieval with Memory-Driven Reasoning and Constraint-Aware Filtering for MultiHop QA. - Siyuan Li; Yongping Du; Mingyang Li (SIGIR, 2025)

Exploiting long-term markovian feature importance via dual attention for partially-connected differential architecture search. - Honggui Han; Qiyu Zhang; Fangyu Li; Yongping Du (Eng. Appl. Artif. Intell., 2025)

ELWARD: Empowering Language Model With World Insights and Human-Aligned Reward Design. - Yongping Du; Siyuan Li; Rui Yan; Ying Hou; Honggui Han (Expert Syst. J. Knowl. Eng., 2025)

Foreground Capture Feature Pyramid Network-Oriented Object Detection in Complex Backgrounds. - Honggui Han; Qiyu Zhang; Fangyu Li; Yongping Du (IEEE Trans. Neural Networks Learn. Syst., 2025)

DCLMD: dynamic clustering and label mapping distribution for constructing in-context learning demonstrations. - Yongping Du; Qi Zhang; Shuyi Fu; Ying Hou; Honggui Han (J. Supercomput., 2025)

A novel commonsense reasoning method based on heterogeneous knowledge fusion and adversarial training. - Yongping Du; Qi Zhang; Jingya Yan; Ying Hou; Honggui Han (Neural Comput. Appl., 2025)