Chengsheng Mao

68 papers A* 5B 2Misc 4Journal 42Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering. EMNLP (Findings) Ziqing Wang, Chengsheng Mao, Xiaole Wen, Yuan Luo, Kaize Ding
2025	J	`jnl`	AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering. CoRR Ziqing Wang, Chengsheng Mao, Xiaole Wen, Yuan Luo, Kaize Ding
2025	—	`conf`	Constrained Tensor Factorization for Cancer Phenotyping and Mortality Prediction. MedInfo Francisco Y. Cai, Chengsheng Mao, Yuan Luo
2025	A*	`conf`	Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources. IJCAI Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo
2025	J	`jnl`	Echoes of Empathy: A Symbiotic IoT-Based Emotion Feedback Framework for Psychological Interventions via Large Language Model. IEEE Internet Things J. Minqiang Yang, Zhichao Yang, Zhaolong Ning, Hao Shen, Chengsheng Mao, Changsheng Ma, Bin Hu
2025	Misc	`conf`	Exploring Large Language Models for Knowledge Graph Completion. ICASSP Liang Yao, Jiazhen Peng, Chengsheng Mao, Yuan Luo
2024	A*	`conf`	Towards Expressive Graph Representations for Graph Neural Networks. ICDM Chengsheng Mao, Liang Yao, Yuan Luo
2023	J	`jnl`	AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. J. Biomed. Informatics 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
2023	J	`jnl`	Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources. CoRR Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo
2023	J	`jnl`	Exploring Large Language Models for Knowledge Graph Completion. CoRR Liang Yao, Jiazhen Peng, Chengsheng Mao, Yuan Luo
2023	J	`jnl`	Orthogonal-Moment-Based Attraction Measurement With Ocular Hints in Video-Watching Task. IEEE Trans. Comput. Soc. Syst. Minqiang Yang, Xiang Feng, Rong Ma, Xiongying Li, Chengsheng Mao
2022	J	`jnl`	AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. CoRR 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
2022	J	`jnl`	AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury. CoRR Chengsheng Mao, Liang Yao, Yuan Luo
2022	J	`jnl`	Distribution Preserving Graph Representation Learning. CoRR Chengsheng Mao, Yuan Luo
2022	—	`conf`	Graph Convolutional Networks with Dependency Parser towards Multiview Representation Learning for Sentiment Analysis. ICDM (Workshops) Minqiang Yang, Xinqi Liu, Chengsheng Mao, Bin Hu
2022	J	`jnl`	ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays. IEEE Trans. Medical Imaging Chengsheng Mao, Liang Yao, Yuan Luo
2022	A*	`conf`	Improving Graph Representation Learning with Distribution Preserving. ICDM Chengsheng Mao, Yuan Luo
2022	J	`jnl`	MedGCN: Medication recommendation and lab test imputation via graph convolutional networks. J. Biomed. Informatics Chengsheng Mao, Liang Yao, Yuan Luo
2022	J	`jnl`	Natural language processing to identify lupus nephritis phenotype in electronic health records. BMC Medical Informatics Decis. Mak. 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
2021	Misc	`conf`	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 Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Guoqian Jiang, Fei Wang, Richard Isaacson, Jyotishman Pathak, Yuan Luo
2021	J	`jnl`	Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer. CoRR Francisco Y. Cai, Chengsheng Mao, Yuan Luo
2021	J	`jnl`	Deep learning for cancer type classification and driver gene identification. BMC Bioinform. Zexian Zeng, Chengsheng Mao, Andy H. Vo, Xiaoyu Li, Janna Ore Nugent, Seema A. Khan, Susan E. Clare, Yuan Luo
2021	J	`jnl`	Natural language processing to identify lupus nephritis phenotype in electronic health records. CoRR 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
2021	A*	`conf`	PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning. AAAI Yuan Luo, Chengsheng Mao
2020	—	`conf`	A Pre-trained Clinical Language Model for Acute Kidney Injury. ICHI Chengsheng Mao, Liang Yao, Yuan Luo
2020	Misc	`conf`	Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach. AMIA 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
2020	J	`jnl`	Local probabilistic model for Bayesian classification: A generalized local classification model. Appl. Soft Comput. Chengsheng Mao, Lijuan Lu, Bin Hu
2020	J	`jnl`	PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning. CoRR Yuan Luo, Chengsheng Mao
2020	—	`conf`	ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling. MLHC Yuan Luo, Chengsheng Mao
2020	J	`jnl`	Towards Expressive Graph Representation. CoRR Chengsheng Mao, Liang Yao, Yuan Luo
2019	J	`jnl`	Are My EHRs Private Enough? Event-Level Privacy Protection. IEEE ACM Trans. Comput. Biol. Bioinform. Chengsheng Mao, Yuan Zhao, Mengxin Sun, Yuan Luo
2019	J	`jnl`	Clinical text classification with rule-based features and knowledge-guided convolutional neural networks. BMC Medical Informatics Decis. Mak. Liang Yao, Chengsheng Mao, Yuan Luo
2019	J	`jnl`	Developing a portable natural language processing based phenotyping system. BMC Medical Informatics Decis. Mak. Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo
2019	A*	`conf`	Graph Convolutional Networks for Text Classification. AAAI Liang Yao, Chengsheng Mao, Yuan Luo
2019	J	`jnl`	ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays. CoRR Chengsheng Mao, Liang Yao, Yuan Luo
2019	J	`jnl`	Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization. Bioinform. Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
2019	J	`jnl`	Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization. Bioinform. Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
2019	J	`jnl`	KG-BERT: BERT for Knowledge Graph Completion. CoRR Liang Yao, Chengsheng Mao, Yuan Luo
2019	J	`jnl`	MedGCN: Graph Convolutional Networks for Multiple Medical Tasks. CoRR Chengsheng Mao, Liang Yao, Yuan Luo
2019	J	`jnl`	Traditional Chinese medicine clinical records classification with BERT and domain specific corpora. J. Am. Medical Informatics Assoc. Liang Yao, Zhe Jin, Chengsheng Mao, Yin Zhang, Yuan Luo
2018	J	`jnl`	Are My EHRs Private Enough? -Event-level Privacy Protection. CoRR Chengsheng Mao, Yuan Zhao, Mengxin Sun, Yuan Luo
2018	J	`jnl`	Cancer classification and pathway discovery using non-negative matrix factorization. CoRR Zexian Zeng, Andy H. Vo, Chengsheng Mao, Susan E. Clare, Seema A. Khan, Yuan Luo
2018	—	`conf`	Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks. ICHI Workshops Liang Yao, Chengsheng Mao, Yuan Luo
2018	J	`jnl`	Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks. CoRR Liang Yao, Chengsheng Mao, Yuan Luo
2018	—	`conf`	Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images. BIBM Chengsheng Mao, Liang Yao, Yiheng Pan, Yuan Luo, Zexian Zeng
2018	J	`jnl`	Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images. CoRR Chengsheng Mao, Yiheng Pan, Zexian Zeng, Liang Yao, Yuan Luo
2018	J	`jnl`	Developing a Portable Natural Language Processing Based Phenotyping System. CoRR Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo
2018	J	`jnl`	Distribution Networks for Open Set Learning. CoRR Chengsheng Mao, Liang Yao, Yuan Luo
2018	—	`conf`	Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. BIBM Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo
2018	J	`jnl`	Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. CoRR Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo
2018	J	`jnl`	Efficient Genomic Interval Queries Using Augmented Range Trees. CoRR Chengsheng Mao, Alal Eran, Yuan Luo
2018	J	`jnl`	Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. Bin Hu, Yongqiang Dai, Yun Su, Philip Moore, Xiaowei Zhang, Chengsheng Mao, Jing Chen, Lixin Xu
2018	J	`jnl`	Graph Convolutional Networks for Text Classification. CoRR Liang Yao, Chengsheng Mao, Yuan Luo
2018	—	`conf`	Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization. MLHC Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
2018	J	`jnl`	Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization. CoRR Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
2018	J	`jnl`	Local Distribution in Neighborhood for Classification. CoRR Chengsheng Mao, Bin Hu, Lei Chen, Philip Moore, Xiaowei Zhang
2018	J	`jnl`	Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model. CoRR Chengsheng Mao, Lijuan Lu, Bin Hu
2018	—	`conf`	Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge. ICHI Workshops Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo
2018	—	`conf`	Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. BIBM Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo
2018	J	`jnl`	Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. CoRR Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo
2015	—	`conf`	Bayesian classification with local probabilistic model assumption in aiding medical diagnosis. BIBM Bin Hu, Chengsheng Mao, Xiaowei Zhang, Yongqiang Dai
2015	B	`conf`	EEG-based biometric identification using local probability centers. IJCNN Chengsheng Mao, Bin Hu, Manman Wang, Philip Moore
2015	—	`conf`	Feature selection of high-dimensional biomedical data using improved SFLA for disease diagnosis. BIBM Yongqiang Dai, Bin Hu, Yun Su, Chengsheng Mao, Jing Chen, Xiaowei Zhang, Philip Moore, Lixin Xu, Hanshu Cai
2015	B	`conf`	Learning from neighborhood for classification with local distribution characteristics. IJCNN Chengsheng Mao, Bin Hu, Manman Wang, Philip Moore
2015	—	`conf`	Nearest Neighbor Method Based on Local Distribution for Classification. PAKDD (1) Chengsheng Mao, Bin Hu, Philip Moore, Yun Su, Manman Wang
2013	Misc	`conf`	A Multimodal Emotion-Focused e-health Monitoring Support System. CISIS Jing Chen, Bin Hu, Na Li, Chengsheng Mao, Philip Moore
2013	—	`conf`	A Pervasive Stress Monitoring System Based on Biological Signals. IIH-MSP Guoqing Zhao, Bin Hu, Xiaowei Li, Chengsheng Mao, Rui Huang
2010	J	`jnl`	Improve Affective Learning with EEG Approach. Comput. Informatics Xiaowei Li, Qinglin Zhao, Bin Hu, Li Liu, Hong Peng, Yanbing Qi, Chengsheng Mao, Zheng Fang, Quanying Liu