Improve Affective Learning with EEG Approach. - Xiaowei Li 005; Qinglin Zhao; Bin Hu 001; Li Liu 001; Hong Peng 003; Yanbing Qi; Chengsheng Mao; Zheng Fang; Quanying Liu (Comput. Informatics, 2010)

A Multimodal Emotion-Focused e-health Monitoring Support System. - Jing Chen 002; Bin Hu 001; Na Li; Chengsheng Mao; Philip Moore 001 (CISIS, 2013)

A Pervasive Stress Monitoring System Based on Biological Signals. - Guoqing Zhao; Bin Hu 001; Xiaowei Li 005; Chengsheng Mao; Rui Huang (IIH-MSP, 2013)

Feature selection of high-dimensional biomedical data using improved SFLA for disease diagnosis. - Yongqiang Dai; Bin Hu 001; Yun Su; Chengsheng Mao; Jing Chen 002; Xiaowei Zhang 001; Philip Moore 001; Lixin Xu; Hanshu Cai (BIBM, 2015)

Bayesian classification with local probabilistic model assumption in aiding medical diagnosis. - Bin Hu 001; Chengsheng Mao; Xiaowei Zhang 001; Yongqiang Dai (BIBM, 2015)

EEG-based biometric identification using local probability centers. - Chengsheng Mao; Bin Hu 001; Manman Wang; Philip Moore 001 (IJCNN, 2015)

Learning from neighborhood for classification with local distribution characteristics. - Chengsheng Mao; Bin Hu 001; Manman Wang; Philip Moore 001 (IJCNN, 2015)

Nearest Neighbor Method Based on Local Distribution for Classification. - Chengsheng Mao; Bin Hu 001; Philip Moore 001; Yun Su; Manman Wang (PAKDD (1), 2015)

Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. - Guoqing Chao; Chengsheng Mao; Fei Wang 001; Yuan Zhao; Yuan Luo 001 (BIBM, 2018)

Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. - Yikuan Li; Liang Yao; Chengsheng Mao; Anand Srivastava; Xiaoqian Jiang; Yuan Luo 001 (BIBM, 2018)

Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images. - Chengsheng Mao; Liang Yao; Yiheng Pan; Yuan Luo 001; Zexian Zeng (BIBM, 2018)

Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge. - Himanshu Sharma; Chengsheng Mao; Yizhen Zhang 005; Haleh Vatani; Liang Yao; Yizhen Zhong; Luke V. Rasmussen; Guoqian Jiang; Jyotishman Pathak; Yuan Luo 001 (ICHI Workshops, 2018)

Efficient Genomic Interval Queries Using Augmented Range Trees. - Chengsheng Mao; Alal Eran; Yuan Luo 001 (CoRR, 2018)

Distribution Networks for Open Set Learning. - Chengsheng Mao; Liang Yao; Yuan Luo 001 (CoRR, 2018)

Cancer classification and pathway discovery using non-negative matrix factorization. - Zexian Zeng; Andy H. Vo; Chengsheng Mao; Susan E. Clare; Seema A. Khan; Yuan Luo 001 (CoRR, 2018)

Local Distribution in Neighborhood for Classification. - Chengsheng Mao; Bin Hu 001; Lei Chen; Philip Moore 001; Xiaowei Zhang 001 (CoRR, 2018)

Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping Algorithm. - Bin Hu 001; Yongqiang Dai; Yun Su; Philip Moore 001; Xiaowei Zhang 001; Chengsheng Mao; Jing Chen 002; Lixin Xu (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Graph Convolutional Networks for Text Classification. - Liang Yao; Chengsheng Mao; Yuan Luo 001 (AAAI, 2019)

Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization. - Yuan Luo 001; Chengsheng Mao; Yiben Yang; Fei Wang 001; Faraz S. Ahmad; Donna Arnett; Marguerite R. Irvin; Sanjiv J. Shah (Bioinform., 2019)

MedGCN: Graph Convolutional Networks for Multiple Medical Tasks. - Chengsheng Mao; Liang Yao; Yuan Luo 001 (CoRR, 2019)

KG-BERT: BERT for Knowledge Graph Completion. - Liang Yao; Chengsheng Mao; Yuan Luo 001 (CoRR, 2019)

Traditional Chinese medicine clinical records classification with BERT and domain specific corpora. - Liang Yao; Zhe Jin; Chengsheng Mao; Yin Zhang 006; Yuan Luo 001 (J. Am. Medical Informatics Assoc., 2019)

Developing a portable natural language processing based phenotyping system. - Himanshu Sharma; Chengsheng Mao; Yizhen Zhang 005; Haleh Vatani; Liang Yao; Yizhen Zhong; Luke V. Rasmussen; Guoqian Jiang; Jyotishman Pathak; Yuan Luo 001 (BMC Medical Informatics Decis. Mak., 2019)

Clinical text classification with rule-based features and knowledge-guided convolutional neural networks. - Liang Yao; Chengsheng Mao; Yuan Luo 001 (BMC Medical Informatics Decis. Mak., 2019)

Are My EHRs Private Enough? Event-Level Privacy Protection. - Chengsheng Mao; Yuan Zhao; Mengxin Sun; Yuan Luo 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach. - Jie Xu 012; Fei Wang 001; Zhenxing Xu; Prakash Adekkanattu; Pascal S. Brandt; Guoqian Jiang; Richard C. Kiefer; Yuan Luo 001; Chengsheng Mao; Jennifer A. Pacheco; Luke V. Rasmussen; Yiye Zhang; et al. (AMIA, 2020)

A Pre-trained Clinical Language Model for Acute Kidney Injury. - Chengsheng Mao; Liang Yao; Yuan Luo 001 (ICHI, 2020)

ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling. - Yuan Luo 001; Chengsheng Mao (MLHC, 2020)

Local probabilistic model for Bayesian classification: A generalized local classification model. - Chengsheng Mao; Lijuan Lu; Bin Hu 001 (Appl. Soft Comput., 2020)

Towards Expressive Graph Representation. - Chengsheng Mao; Liang Yao; Yuan Luo 001 (CoRR, 2020)

PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning. - Yuan Luo 001; Chengsheng Mao (AAAI, 2021)

A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease. - Chengsheng Mao; Jie Xu 012; Luke V. Rasmussen; Jennifer A. Pacheco; Guoqian Jiang; Fei Wang 001; Richard Isaacson; Jyotishman Pathak; Yuan Luo 001 (AMIA, 2021)

Deep learning for cancer type classification and driver gene identification. - Zexian Zeng; Chengsheng Mao; Andy H. Vo; Xiaoyu Li 006; Janna Ore Nugent; Seema A. Khan; Susan E. Clare; Yuan Luo 001 (BMC Bioinform., 2021)

Natural language processing to identify lupus nephritis phenotype in electronic health records. - Yu Deng; Jennifer A. Pacheco; Anh H. Chung; Chengsheng Mao; Joshua C. Smith; Juan Zhao 003; Wei-Qi Wei; April Barnado; Chunhua Weng; Cong Liu 020; Adam Cordon; Jingzhi Yu; et al. (CoRR, 2021)

Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer. - Francisco Y. Cai; Chengsheng Mao; Yuan Luo 001 (CoRR, 2021)

Improving Graph Representation Learning with Distribution Preserving. - Chengsheng Mao; Yuan Luo 001 (ICDM, 2022)

Graph Convolutional Networks with Dependency Parser towards Multiview Representation Learning for Sentiment Analysis. - Minqiang Yang; Xinqi Liu; Chengsheng Mao; Bin Hu 001 (ICDM (Workshops), 2022)

Distribution Preserving Graph Representation Learning. - Chengsheng Mao; Yuan Luo 001 (CoRR, 2022)

AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury. - Chengsheng Mao; Liang Yao; Yuan Luo 001 (CoRR, 2022)

AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. - Chengsheng Mao; Jie Xu 012; Luke V. Rasmussen; Yikuan Li; Prakash Adekkanattu; Jennifer A. Pacheco; Borna Bonakdarpour; Robert Vassar; Guoqian Jiang; Fei Wang 001; Jyotishman Pathak; Yuan Luo 001 (CoRR, 2022)

MedGCN: Medication recommendation and lab test imputation via graph convolutional networks. - Chengsheng Mao; Liang Yao; Yuan Luo 001 (J. Biomed. Informatics, 2022)

ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays. - Chengsheng Mao; Liang Yao; Yuan Luo 001 (IEEE Trans. Medical Imaging, 2022)

Natural language processing to identify lupus nephritis phenotype in electronic health records. - Yu Deng; Jennifer A. Pacheco; Anika S. Ghosh; Anh H. Chung; Chengsheng Mao; Joshua C. Smith; Juan Zhao 003; Wei-Qi Wei; April Barnado; Chad Dorn; Chunhua Weng; Cong Liu 020; et al. (BMC Medical Informatics Decis. Mak., 2022)

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources. - Yikuan Li; Chengsheng Mao; Kaixuan Huang; Hanyin Wang; Zheng Yu; Mengdi Wang; Yuan Luo 001 (CoRR, 2023)

Orthogonal-Moment-Based Attraction Measurement With Ocular Hints in Video-Watching Task. - Minqiang Yang; Xiang Feng; Rong Ma; Xiongying Li; Chengsheng Mao (IEEE Trans. Comput. Soc. Syst., 2023)

AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. - Chengsheng Mao; Jie Xu 012; Luke V. Rasmussen; Yikuan Li; Prakash Adekkanattu; Jennifer A. Pacheco; Borna Bonakdarpour; Robert Vassar; Li Shen; Guoqian Jiang; Fei Wang 001; Jyotishman Pathak; et al. (J. Biomed. Informatics, 2023)

Towards Expressive Graph Representations for Graph Neural Networks. - Chengsheng Mao; Liang Yao; Yuan Luo 001 (ICDM, 2024)

Exploring Large Language Models for Knowledge Graph Completion. - Liang Yao; Jiazhen Peng; Chengsheng Mao; Yuan Luo 001 (ICASSP, 2025)