Tracking the Amplitude Variation of Evoked Potential by ICA and WT. - Haiyan Ding; Datian Ye (ISNN (2), 2004)

The Combination of Amplitude and Sample Entropy in EEG and its Application to Assessment of Cerebral Injuries in Piglets. - Dandan Zhang; Haiyan Ding; Xinlin Hou; Yunfeng Liu; Congle Zhou; Datian Ye (BMEI (2), 2008)

The High Performance Computing on the Crash-Safety Analysis. - Lei Hou 005; Haiyan Ding; Hanling Li; Lin Qiu (HPCA (China), 2009)

Application of Tsallis Entropy to EEG: Quantifying the Presence of Burst Suppression After Asphyxial Cardiac Arrest in Rats. - Dandan Zhang; Xiaofeng Jia; Haiyan Ding; Datian Ye; Nitish V. Thakor (IEEE Trans. Biomed. Eng., 2010)

NIRS study of cerebral oxygenation and hemodynamics in neonate at birth. - Xinlin Hou; Haiyan Ding; Yichao Teng; Congle Zhou; Dandan Zhang (EMBC, 2011)

Research on Dynamic Performance and Road Performance of Dense-Gradation Asphalt Mixture. - Congrong Tang; Xin Xu; Haiyan Ding (ICCCS (6), 2018)

An Xception-GRU Model for Visual Question Answering in the Medical Domain. - Shengyan Liu; Xiaozhi Ou; Jiao Che; Xiaobing Zhou; Haiyan Ding (CLEF (Working Notes), 2019)

Research on Settlement Deformation of Asphalt Pavement Structure in Soft Soil Zone Based on Pavement Settlement Theory. - Congrong Tang; Xin Xu; Haiyan Ding (ICAIS (1), 2019)

YNU NLP at SemEval-2019 Task 5: Attention and Capsule Ensemble for Identifying Hate Speech. - Bin Wang; Haiyan Ding (SemEval@NAACL-HLT, 2019)

Multi-view Learning for 3D LGE-MRI Left Atrial Cavity Segmentation. - Jingjing Xiao; Dongyue Si; Yanfang Wu; Meng Li; Jie Yin; Haiyan Ding (AIPR, 2020)

Chejiao at ImageCLEFmed Tuberculosis 2020: CT Report Generation Based on Transfer learning. - Jiao Che; Haiyan Ding; Xiaobing Zhou (CLEF (Working Notes), 2020)

Shengyan at VQA-Med 2020: An Encoder-Decoder Model for Medical Domain Visual Question Answering Task. - Shengyan Liu; Haiyan Ding; Xiaobing Zhou (CLEF (Working Notes), 2020)

Lijunyi at SemEval-2020 Task 4: An ALBERT Model Based Maximum Ensemble with Different Training Sizes and Depths for Commonsense Validation and Explanation. - Junyi Li; Bin Wang; Haiyan Ding (SemEval@COLING, 2020)

Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements. - Junyi Li; Yuhang Wu; Bin Wang; Haiyan Ding (SemEval@COLING, 2020)

Fake News and Hostile Posts Detection Using an Ensemble Learning Model. - Siyao Zhou 001; Jie Li 054; Haiyan Ding (CONSTRAINT@AAAI, 2021)

Dynamic 18F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function. - Jingnan Wang; Yunwen Shao; Bowei Liu; Xuezhu Wang; Barbara Katharina Geist; Xiang Li 095; Fang Li; Haitao Zhao; Marcus Hacker; Haiyan Ding; Hui Zhang; Li Huo (BMC Medical Imaging, 2021)

Deep multiple non-negative matrix factorization for multi-view clustering. - Guowang Du; Lihua Zhou; Kevin Lü 001; Haiyan Ding (Intell. Data Anal., 2021)

Named Entity Recognition for LivingNER-Species based on BERT and Span Detection. - Song Han; Haiyan Ding (IberLEF@SEPLN, 2022)

Janko at SemEval-2023 Task 2: Bidirectional LSTM Model Based on Pre-training for Chinese Named Entity Recognition. - Jiankuo Li; Zhengyi Guan; Haiyan Ding (SemEval@ACL, 2023)

Tsingriver at SemEval-2023 Task 10: Labeled Data Augmentation in Consistency Training. - Yehui Xu; Haiyan Ding (SemEval@ACL, 2023)

Multi-Task Deep Learning with Task Attention for Post-Click Conversion Rate Prediction. - Hongxin Luo; Xiaobing Zhou; Haiyan Ding; Liqing Wang (Intell. Autom. Soft Comput., 2023)

What Matters in Radiological Image Segmentation? Effect of Segmentation Errors on the Diagnostic Related Features. - Zihang Chen; Jiafei Chen; Jun Zhao; Bowei Liu; Shuanglong Jiang; Dongyue Si; Haiyan Ding; Yongjian Nian; Xiaochao Yang; Jingjing Xiao (J. Imaging Inform. Medicine, 2023)

Modeling and predicting user preferences with multiple item attributes for sequential recommendations. - Li Xu; Jun Zeng; Weile Peng; Hao Wu 010; Kun Yue; Haiyan Ding; Lei Zhang 130; Xin Wang 114 (Knowl. Based Syst., 2023)

Active learning for cross-modal cardiac segmentation with sparse annotation. - Zihang Chen; Weijie Zhao 012; Jingyang Liu; Puguang Xie; Siyu Hou; Yongjian Nian; Xiaochao Yang; Ruiyan Ma; Haiyan Ding; Jingjing Xiao (Pattern Recognit., 2025)

Teaching Reform and Exploration on Object-Oriented Programming. - Guowu Yuan; Bing Kong; Haiyan Ding; Jixian Zhang; Yang Zhao (CoRR, 2025)