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2020 – today
- 2023
[j15]Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo:
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. J. Biomed. Informatics 144: 104442 (2023)- [j14]Minqiang Yang
, Xiang Feng, Rong Ma, Xiongying Li, Chengsheng Mao:
Orthogonal-Moment-Based Attraction Measurement With Ocular Hints in Video-Watching Task. IEEE Trans. Comput. Soc. Syst. 10(3): 900-909 (2023) - [i25]Liang Yao, Jiazhen Peng, Chengsheng Mao, Yuan Luo:
Exploring Large Language Models for Knowledge Graph Completion. CoRR abs/2308.13916 (2023) - [i24]Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo:
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources. CoRR abs/2309.08560 (2023) - 2022
- [j13]Chengsheng Mao, Liang Yao, Yuan Luo:
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks. J. Biomed. Informatics 127: 104000 (2022) - [j12]Yu Deng, Jennifer A. Pacheco, Anika S. Ghosh, Anh H. Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chad Dorn, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel Kho, Rosalind Ramsey-Goldman, Theresa Walunas, Yuan Luo:
Natural language processing to identify lupus nephritis phenotype in electronic health records. BMC Medical Informatics Decis. Mak. 22-S(2): 348 (2022) - [j11]Chengsheng Mao, Liang Yao, Yuan Luo:
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays. IEEE Trans. Medical Imaging 41(8): 1990-2003 (2022) - [c21]Minqiang Yang, Xinqi Liu, Chengsheng Mao, Bin Hu:
Graph Convolutional Networks with Dependency Parser towards Multiview Representation Learning for Sentiment Analysis. ICDM (Workshops) 2022: 1-8 - [c20]Chengsheng Mao, Yuan Luo:
Improving Graph Representation Learning with Distribution Preserving. ICDM 2022: 1095-1100 - [i23]Chengsheng Mao, Yuan Luo:
Distribution Preserving Graph Representation Learning. CoRR abs/2202.13428 (2022) - [i22]Chengsheng Mao, Liang Yao, Yuan Luo:
AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury. CoRR abs/2205.03695 (2022) - [i21]Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo:
AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. CoRR abs/2212.06042 (2022) - 2021
- [j10]Zexian Zeng, Chengsheng Mao, Andy H. Vo, Xiaoyu Li, Janna Ore Nugent, Seema A. Khan, Susan E. Clare, Yuan Luo:
Deep learning for cancer type classification and driver gene identification. BMC Bioinform. 22-S(4): 491 (2021) - [c19]Yuan Luo, Chengsheng Mao:
PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning. AAAI 2021: 371-380 - [c18]Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Guoqian Jiang, Fei Wang, Richard Isaacson, Jyotishman Pathak, Yuan Luo:
A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease. AMIA 2021 - [i20]Yu Deng, Jennifer A. Pacheco, Anh H. Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel N. Kho, Rosalind Ramsey-Goldman, Theresa Walunas, Yuan Luo:
Natural language processing to identify lupus nephritis phenotype in electronic health records. CoRR abs/2112.10821 (2021) - [i19]Francisco Y. Cai, Chengsheng Mao, Yuan Luo:
Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer. CoRR abs/2112.12933 (2021) - 2020
- [j9]Chengsheng Mao, Lijuan Lu, Bin Hu:
Local probabilistic model for Bayesian classification: A generalized local classification model. Appl. Soft Comput. 93: 106379 (2020) - [c17]Jie Xu, Fei Wang, Zhenxing Xu, Prakash Adekkanattu, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Chengsheng Mao, Jennifer A. Pacheco, Luke V. Rasmussen, Yiye Zhang, Richard Isaacson, Jyotishman Pathak:
Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach. AMIA 2020 - [c16]Chengsheng Mao, Liang Yao, Yuan Luo:
A Pre-trained Clinical Language Model for Acute Kidney Injury. ICHI 2020: 1-2 - [c15]Yuan Luo, Chengsheng Mao:
ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling. MLHC 2020: 27-45 - [i18]Chengsheng Mao, Liang Yao, Yuan Luo:
Towards Expressive Graph Representation. CoRR abs/2010.05427 (2020) - [i17]Yuan Luo, Chengsheng Mao:
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning. CoRR abs/2012.08580 (2020)
2010 – 2019
- 2019
- [j8]Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah:
Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization. Bioinform. 35(8): 1395-1403 (2019) - [j7]Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah:
Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization. Bioinform. 35(16): 2885 (2019) - [j6]Liang Yao, Zhe Jin, Chengsheng Mao, Yin Zhang, Yuan Luo:
Traditional Chinese medicine clinical records classification with BERT and domain specific corpora. J. Am. Medical Informatics Assoc. 26(12): 1632-1636 (2019) - [j5]Liang Yao, Chengsheng Mao, Yuan Luo:
Clinical text classification with rule-based features and knowledge-guided convolutional neural networks. BMC Medical Informatics Decis. Mak. 19-S(3): 31-39 (2019) - [j4]Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo:
Developing a portable natural language processing based phenotyping system. BMC Medical Informatics Decis. Mak. 19-S(3): 79-87 (2019) - [j3]Chengsheng Mao, Yuan Zhao, Mengxin Sun, Yuan Luo:
Are My EHRs Private Enough? Event-Level Privacy Protection. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 103-112 (2019) - [c14]Liang Yao, Chengsheng Mao, Yuan Luo:
Graph Convolutional Networks for Text Classification. AAAI 2019: 7370-7377 - [i16]Chengsheng Mao, Liang Yao, Yuan Luo:
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays. CoRR abs/1904.00325 (2019) - [i15]Chengsheng Mao, Liang Yao, Yuan Luo:
MedGCN: Graph Convolutional Networks for Multiple Medical Tasks. CoRR abs/1904.00326 (2019) - [i14]Liang Yao, Chengsheng Mao, Yuan Luo:
KG-BERT: BERT for Knowledge Graph Completion. CoRR abs/1909.03193 (2019) - 2018
- [j2]Bin Hu, Yongqiang Dai, Yun Su, Philip Moore, Xiaowei Zhang, Chengsheng Mao, Jing Chen, Lixin Xu:
Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1765-1773 (2018) - [c13]Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo:
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. BIBM 2018: 683-686 - [c12]Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo:
Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. BIBM 2018: 1189-1194 - [c11]Chengsheng Mao, Liang Yao, Yiheng Pan, Yuan Luo, Zexian Zeng:
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images. BIBM 2018: 1209-1214 - [c10]Liang Yao, Chengsheng Mao, Yuan Luo:
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks. ICHI Workshops 2018: 70-71 - [c9]Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo:
Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge. ICHI Workshops 2018: 86-87 - [c8]Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah:
Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization. MLHC 2018: 102-118 - [i13]Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah:
Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization. CoRR abs/1805.05008 (2018) - [i12]Chengsheng Mao, Alal Eran, Yuan Luo:
Efficient Genomic Interval Queries Using Augmented Range Trees. CoRR abs/1806.01217 (2018) - [i11]Chengsheng Mao, Yuan Zhao, Mengxin Sun, Yuan Luo:
Are My EHRs Private Enough? -Event-level Privacy Protection. CoRR abs/1806.05520 (2018) - [i10]Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo:
Developing a Portable Natural Language Processing Based Phenotyping System. CoRR abs/1807.06638 (2018) - [i9]Liang Yao, Chengsheng Mao, Yuan Luo:
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks. CoRR abs/1807.07425 (2018) - [i8]Liang Yao, Chengsheng Mao, Yuan Luo:
Graph Convolutional Networks for Text Classification. CoRR abs/1809.05679 (2018) - [i7]Chengsheng Mao, Yiheng Pan, Zexian Zeng, Liang Yao, Yuan Luo:
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images. CoRR abs/1809.07436 (2018) - [i6]Chengsheng Mao, Liang Yao, Yuan Luo:
Distribution Networks for Open Set Learning. CoRR abs/1809.08106 (2018) - [i5]Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo:
Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. CoRR abs/1809.10680 (2018) - [i4]Zexian Zeng, Andy H. Vo, Chengsheng Mao, Susan E. Clare, Seema A. Khan, Yuan Luo:
Cancer classification and pathway discovery using non-negative matrix factorization. CoRR abs/1809.10681 (2018) - [i3]Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo:
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. CoRR abs/1811.02757 (2018) - [i2]Chengsheng Mao, Bin Hu, Lei Chen, Philip Moore, Xiaowei Zhang:
Local Distribution in Neighborhood for Classification. CoRR abs/1812.02934 (2018) - [i1]Chengsheng Mao, Lijuan Lu, Bin Hu:
Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model. CoRR abs/1812.05221 (2018) - 2015
- [c7]Yongqiang Dai, Bin Hu, Yun Su, Chengsheng Mao, Jing Chen, Xiaowei Zhang, Philip Moore, Lixin Xu, Hanshu Cai:
Feature selection of high-dimensional biomedical data using improved SFLA for disease diagnosis. BIBM 2015: 458-463 - [c6]Bin Hu, Chengsheng Mao, Xiaowei Zhang, Yongqiang Dai:
Bayesian classification with local probabilistic model assumption in aiding medical diagnosis. BIBM 2015: 691-694 - [c5]Chengsheng Mao, Bin Hu, Manman Wang, Philip Moore:
EEG-based biometric identification using local probability centers. IJCNN 2015: 1-8 - [c4]Chengsheng Mao, Bin Hu, Manman Wang, Philip Moore:
Learning from neighborhood for classification with local distribution characteristics. IJCNN 2015: 1-8 - [c3]Chengsheng Mao, Bin Hu, Philip Moore, Yun Su, Manman Wang:
Nearest Neighbor Method Based on Local Distribution for Classification. PAKDD (1) 2015: 239-250 - 2013
- [c2]Jing Chen, Bin Hu, Na Li, Chengsheng Mao, Philip Moore:
A Multimodal Emotion-Focused e-health Monitoring Support System. CISIS 2013: 505-510 - [c1]Guoqing Zhao, Bin Hu, Xiaowei Li, Chengsheng Mao, Rui Huang:
A Pervasive Stress Monitoring System Based on Biological Signals. IIH-MSP 2013: 530-534 - 2010
- [j1]Xiaowei Li, Qinglin Zhao, Bin Hu, Li Liu, Hong Peng, Yanbing Qi, Chengsheng Mao, Zheng Fang, Quanying Liu:
Improve Affective Learning with EEG Approach. Comput. Informatics 29(4): 557-570 (2010)
Coauthor Index
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