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Fei Wang 0001
Person information

- affiliation: Cornell University, Weill Cornell Medical College, Ithaca, NY, USA
- affiliation (former): University of Connecticut, Storrs, CT, USA
- affiliation (former): IBM T. J. Watson Research Center
- affiliation (former): Florida International University
Other persons with the same name
- Fei Wang — disambiguation page
- Fei Wang 0002 — IBM Almaden Research Center (and 1 more)
- Fei Wang 0003 — Yale School of Medicine
- Fei Wang 0004 — Beijing University of Posts & Telecommunications
- Fei Wang 0005 — California State University, Long Beach
- Fei Wang 0006 (aka: Fei (Thomas) Wang) — Puff Nation International Enterprise (and 1 more)
- Fei Wang 0007 — National University of Defense Technology, Changsha, China
- Fei Wang 0008
— Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, China (and 1 more)
- Fei Wang 0009 — UDRI (and 1 more)
- Fei Wang 0010 — Novodec (and 1 more)
- Fei Wang 0011
— Nanjing University of Aeronautics and Astronautics, MoE Key Laboratory of Radar Imaging and Microwave Photonics, China (and 1 more)
- Fei Wang 0012
— Shanghai Institute of Pharmaceutical Industry, Department of Chemistry, China
- Fei Wang 0013
— Henan University of science and Technology, School of Mathematics and Statistics, China (and 1 more)
- Fei Wang 0014
— Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Fei Wang 0015
— Tongji University, School of Electronics and Information Engineering, Shanghai, China
- Fei Wang 0016
— Hunan Normal University, Key Laboratory of High Performance Computing and Stochastic Information Processing, Changsha, China (and 1 more)
- Fei Wang 0017
— Fudan University, Shanghai Key Lab of Intelligent Information Processing, China
- Fei Wang 0018 — National University of Singapore, Temasek Laboratories, Singapore
- Fei Wang 0019
— Tsinghua University, Department of Electronic Engineering, Beijing, China
- Fei Wang 0020
— North China Electric Power University, Beijing, China (and 1 more)
- Fei Wang 0021
— Jilin University, College of Construction Engineering, Changchun, China
- Fei Wang 0022 — Taiyuan University of Technology, College of Information Engineering, China
- Fei Wang 0023
— Xi'an Jiaotong University, School of Mathematics and Statistics, China
- Fei Wang 0024
— Southwest University, College of Electronic and Information Engineering, Chongqing Key Laboratory of Non-linear Circuit and Intelligent Information Processing, Chongqing, China (and 1 more)
- Fei Wang 0025
— Southern University of Science and Technology, Department of Electrical and Electronic Engineering, Shenzhen, China (and 2 more)
- Fei Wang 0026
— South China University of Technology, School of Automation Science and Engineering, Guangzhou, China
- Fei Wang 0027
— Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Fei Wang 0028 — University of Sydney, Australia
- Fei Wang 0029
— Shanghai University, School of Mechatronic Engineering and Automation, Shanghai Key Lab of Power Station Automation Technology, China (and 1 more)
- Fei Wang 0030 — Beijing Institute of Technology, School of Information and Electronics, China
- Fei Wang 0031 — Shandong Forestry Research Academy, Jinan, China
- Fei Wang 0032
— SenseTime Research, Beijing, China
- Fei Wang 0033
— Delft University of Technology, Electronic Instrumentation Laboratory, The Netherlands
- Fei Wang 0034 — University of Hong Kong, Pokfulam, Hong Kong
- Fei Wang 0035 — Hohai University Nanjing, China
- Fei Wang 0036 — Harbin Institute of Technology, Shenzhen, China
- Fei Wang 0037
— Xi'an Jiaotong University, School of Computer Science and Technology, China (and 1 more)
- Fei Wang 0038
— Tsinghua University, State Key Laboratory of Precision Measurement Technology and Instruments, China
- Fei Wang 0039
— Anhui University, School of Electronics and Information Engineering, Hefei, China
- Fei Wang 0040
— Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA
- Fei Wang 0041
— Dalian University of Technology, School of Control Science and Engineering, China
- Fei Wang 0042
— Northeastern University, School of Mechanical Engineering and Automation / MOE Key Laboratory of Vibration and Control of Aero-Propulsion System, Shenyang, China
- Fei Wang 0043
— KTH Royal Institute of Technology, Department of Mathematics, Stockholm, Sweden (and 1 more)
- Fei Wang 0044
— Hebei University of Technology, School of Artificial Intelligence, Tianjin, China (and 1 more)
- Fei Wang 0045
(aka: Fred Wang, Fei Fred Wang) — University of Tennessee, Department of Electrical Engineering and Computer Science, Center for Ultra-Wide-Area Resilient Electric Energy Transmission Networks, Knoxville, TN, USA (and 1 more)
- Fei Wang 0046 — Purdue University, West Lafayette, IN, USA
- Fei Wang 0047
— Qufu Normal University, School of Mathematical Sciences, China (and 1 more)
- Fei Wang 0048
— Northeastern University, Faculty of Robot Science and Engineering, Shenyang, China (and 1 more)
- Fei Wang 0049
— Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Ministry of Industry and Information Technology Key Laboratory of Safety-Critical Software, China
- Fei Wang 0050
— Harbin Institute of Technology, School of Mechatronics Engineering, State Key Laboratory of Robotics and System, China
- Fei Wang 0051
— Beijing Institute of Technology, School of Mathematics and Statistics, China
- Fei Wang 0052
— Beihang University, Research Institute of Frontier Science, Beijing, China
- Fei Wang 0053
— Tongji University, Shanghai Institute of Disaster Prevention and Relief, China
- Fei Wang 0054
— Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Fei Wang 0055
— Shandong Normal University, School of Information Science and Engineering, China
- Fei Wang 0056
— Shantou University, Department of Computer Science, China (and 1 more)
- Fei Wang 0057
— Shandong University, Shandong Provincial Hospital, Department of Obstetrics and Gynecology, China
- Fei Wang 0058
— East China University of Science and Technology, School of Mechanical and Power Engineering, Shanghai, China
- Fei Wang 0059
— State Grid Shandong Electric Power Company, Jinan, China
- Fei Wang 0060 — University of Southern California, CA, USA
- Fei Wang 0061
— Tsinghua University, Department of Engineering Physics, Institute of Safety Science and Technology, Beijing, China
- Fei Wang 0062 — Visa Research, Palo Alto, CA, USA
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2020 – today
- 2023
- [j102]Zhaoyi Chen, Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu, Jingchuan Guo, Mattia C. F. Prosperi, Fei Wang, Hua Xu, Yong Chen, Hui Hu, Steven DeKosky, Matthew Farrer, Yi Guo, Yonghui Wu, Jiang Bian:
Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias. Int. J. Medical Informatics 170: 104973 (2023) - [c209]Qian Yang
, Yuexing Hao
, Kexin Quan
, Stephen Yang
, Yiran Zhao
, Volodymyr Kuleshov
, Fei Wang
:
Harnessing Biomedical Literature to Calibrate Clinicians' Trust in AI Decision Support Systems. CHI 2023: 14:1-14:14 - [i51]Mingquan Lin, Yuyun Xiao, Bo-Jian Hou, Tingyi Wanyan, Mohit Manoj Sharma, Zhangyang Wang, Fei Wang, Sarah Van Tassel, Yifan Peng:
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations. CoRR abs/2301.11315 (2023) - [i50]Qianqian Xie, Jiayu Zhou, Yifan Peng, Fei Wang:
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization. CoRR abs/2303.08335 (2023) - [i49]Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang:
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources. CoRR abs/2305.06217 (2023) - 2022
- [j101]Sendong Zhao
, Aobo Wang
, Bing Qin, Fei Wang:
Biomedical evidence engineering for data-driven discovery. Bioinform. 38(23): 5270-5278 (2022) - [j100]Matthew Brendel
, Chang Su
, Zilong Bai
, Hao Zhang
, Olivier Elemento
, Fei Wang
:
Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review. Genom. Proteom. Bioinform. 20(5): 814-835 (2022) - [j99]Wanwan Xu, Chang Su
, Yan Li, Steven Rogers, Fei Wang, Kun Chen
, Robert H. Aseltine:
Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data. J. Am. Medical Informatics Assoc. 29(3): 500-511 (2022) - [j98]Pascal S. Brandt
, Jennifer A. Pacheco
, Prakash Adekkanattu, Evan Sholle
, Sajjad Abedian, Daniel J. Stone, David Knaack, Jie Xu, Zhenxing Xu, Yifan Peng
, Natalie C. Benda
, Fei Wang, Yuan Luo
, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen
:
Design and validation of a FHIR-based EHR-driven phenotyping toolbox. J. Am. Medical Informatics Assoc. 29(9): 1449-1460 (2022) - [j97]Zheng Yuan, Zhengyun Zhao, Haixia Sun, Jiao Li, Fei Wang, Sheng Yu:
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization. J. Biomed. Informatics 126: 103983 (2022) - [j96]Hua Xu, David L. Buckeridge, Fei Wang, Peter Tarczy-Hornoch:
Novel informatics approaches to COVID-19 Research: From methods to applications. J. Biomed. Informatics 129: 104028 (2022) - [j95]Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang
, Feixiong Cheng, Yuan Luo
:
Multimodal machine learning in precision health: A scoping review. npj Digit. Medicine 5 (2022) - [j94]Jian Liang
, Ziqi Liu, Jiayu Zhou
, Xiaoqian Jiang, Changshui Zhang
, Fei Wang:
Model-Protected Multi-Task Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1002-1019 (2022) - [j93]Jie Xu
, Wei Zhang, Fei Wang:
A(DP)22SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent With Differential Privacy. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8036-8047 (2022) - [j92]Sendong Zhao
, Meng Jiang
, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang:
Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Trans. Knowl. Data Eng. 34(9): 4468-4483 (2022) - [c208]Aokun Chen, Qian Li, Xing He, Michael Jaffee, William R. Hogan, Fei Wang, Yi Guo, Jiang Bian:
Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials. AMIA 2022 - [c207]Chang Su, Yu Hou, Jielin Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Yingying Zhu, Claire Henchcliffe, Feixiong Cheng, Fei Wang:
Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping. AMIA 2022 - [c206]Yunyu Xiao, Haotan Zhang, Yu Hou, Chang Su, Fei Wang:
Unraveling the "Other" Diagnosis of Suspected Suicide Attempts at Emergency Department using Natural Language Processing (NLP). AMIA 2022 - [c205]Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng:
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB 2022: 9:1-9:9 - [c204]Wei Qian, Chenxu Zhao, Huajie Shao, Minghan Chen, Fei Wang, Mengdi Huai:
Patient Similarity Learning with Selective Forgetting. BIBM 2022: 529-534 - [c203]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Collaboration Equilibrium in Federated Learning. KDD 2022: 241-251 - [c202]Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner:
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. KDD 2022: 4908-4909 - [c201]Junghwan Lee, Tingyi Wanyan, Qingyu Chen, Tiarnan D. L. Keenan, Benjamin S. Glicksberg, Emily Y. Chew, Zhiyong Lu, Fei Wang, Yifan Peng:
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning. MLMI@MICCAI 2022: 11-20 - [c200]Mingquan Lin, Lei Liu, Mae Gorden, Michael Kass, Sarah Van Tassel, Fei Wang, Yifan Peng:
Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction. MLMI@MICCAI 2022: 436-445 - [i48]Adrienne S. Kline, Hanyin Wang, Yikuan Li
, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo:
Multimodal Machine Learning in Precision Health. CoRR abs/2204.04777 (2022) - [i47]Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong:
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. CoRR abs/2206.09477 (2022) - [i46]Matthew Brendel, Chang Su, Zilong Bai, Hao Zhang, Olivier Elemento, Fei Wang:
Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review. CoRR abs/2210.05677 (2022) - [i45]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
- [j91]Sendong Zhao, Chang Su, Zhiyong Lu, Fei Wang:
Recent advances in biomedical literature mining. Briefings Bioinform. 22(3) (2021) - [j90]Yi Guo
, Yahan Zhang, Tianchen Lyu, Mattia C. F. Prosperi
, Fei Wang, Hua Xu
, Jiang Bian
:
The application of artificial intelligence and data integration in COVID-19 studies: a scoping review. J. Am. Medical Informatics Assoc. 28(9): 2050-2067 (2021) - [j89]Yufang Huang, Yifan Liu, Peter A. D. Steel, Kelly M. Axsom, John R. Lee, Sri Lekha Tummalapalli, Fei Wang, Jyotishman Pathak, Lakshminarayanan Subramanian, Yiye Zhang:
Deep significance clustering: a novel approach for identifying risk-stratified and predictive patient subgroups. J. Am. Medical Informatics Assoc. 28(12): 2641-2653 (2021) - [j88]Yuqi Si
, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy A. Miller, Fei Wang, W. Jim Zheng, Kirk Roberts:
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review. J. Biomed. Informatics 115: 103671 (2021) - [j87]Jie Xu, Benjamin S. Glicksberg
, Chang Su, Peter B. Walker, Jiang Bian, Fei Wang:
Federated Learning for Healthcare Informatics. J. Heal. Informatics Res. 5(1): 1-19 (2021) - [j86]Yingxue Li, Wenxiao Jia, Junmei Wang, Jianying Guo, Qin Liu, Xiang Li, Guotong Xie
, Fei Wang:
ALeRT-COVID: Attentive Lockdown-awaRe Transfer Learning for Predicting COVID-19 Pandemics in Different Countries. J. Heal. Informatics Res. 5(1): 98-113 (2021) - [j85]Chang Su
, Yongkang Zhang, James H. Flory, Mark G. Weiner
, Rainu Kaushal
, Edward J. Schenck
, Fei Wang
:
Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health. npj Digit. Medicine 4 (2021) - [j84]Zhaoyi Chen
, Hansi Zhang, Yi Guo, Thomas J. George
, Mattia C. F. Prosperi
, William R. Hogan
, Zhe He
, Elizabeth A. Shenkman
, Fei Wang
, Jiang Bian
:
Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease. npj Digit. Medicine 4 (2021) - [j83]Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki
, Chengxi Zang, Nidhi Naik
, Sulaiman Somani
, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid
, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
:
Contrastive learning improves critical event prediction in COVID-19 patients. Patterns 2(12): 100389 (2021) - [c199]Prakash Adekkanattu, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Parag Goyal, Faraz S. Ahmad, Guoqian Jiang, Yuan Luo, Luke V. Rasmussen, Pascal S. Brandt, Zhenxing Xu, Jie Xu, Fei Wang, Natalie C. Benda, Thomas R. Campion Jr., Jyotishman Pathak:
Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping. AMIA 2021 - [c198]Gregory C. Ghahramani, Matthew Brendel, Mingquan Lin, Qingyu Chen, Tiarnan D. Keenan, Kun Chen, Emily Y. Chew, Zhiyong Lu, Yifan Peng, Fei Wang:
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. AMIA 2021 - [c197]Qian Li, Hansi Zhang, Zhaoyi Chen, Yi Guo, Thomas J. George, Yong Chen, Fei Wang, Jiang Bian:
Validation of Real-World Data-based Endpoint Measures of Cancer Treatment Outcomes. AMIA 2021 - [c196]Yi He
, Jiaxian Dong, Bo-Jian Hou, Yu Wang, Fei Wang:
Online Learning in Variable Feature Spaces with Mixed Data. ICDM 2021: 181-190 - [c195]Xiao Xu, Xian Xu, Yuyao Sun, Xiaoshuang Liu, Xiang Li, Guotong Xie, Fei Wang:
Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph. ICDM 2021: 777-786 - [c194]Chengxi Zang, Fei Wang:
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. ICDM 2021: 857-866 - [c193]Mingquan Lin
, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng
:
An empirical study of using radiology reports and images to improve ICU-mortality prediction. ICHI 2021: 497-498 - [c192]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why Attentions May Not Be Interpretable? KDD 2021: 25-34 - [c191]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility. KDD 2021: 207-217 - [c190]Zhuo Liu, Yanxuan Li, Xingzhi Sun, Fei Wang, Gang Hu, Guotong Xie:
Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning. KDD 2021: 1120-1128 - [c189]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. KDD 2021: 1287-1297 - [c188]Zhengze Zhou, Giles Hooker, Fei Wang:
S-LIME: Stabilized-LIME for Model Explanation. KDD 2021: 2429-2438 - [c187]Jian Tang, Fei Wang, Feixiong Cheng:
Artificial Intelligence for Drug Discovery. KDD 2021: 4074-4075 - [c186]Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner:
KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health. KDD 2021: 4159-4160 - [c185]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS 2021: 26091-26102 - [i44]Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki
, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg:
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. CoRR abs/2101.04013 (2021) - [i43]Zhengze Zhou, Giles Hooker, Fei Wang:
S-LIME: Stabilized-LIME for Model Explanation. CoRR abs/2106.07875 (2021) - [i42]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. CoRR abs/2108.05335 (2021) - [i41]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Learning to Collaborate. CoRR abs/2108.07926 (2021) - [i40]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Fair and Consistent Federated Learning. CoRR abs/2108.08435 (2021) - [i39]Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang:
Correcting the User Feedback-Loop Bias for Recommendation Systems. CoRR abs/2109.06037 (2021) - [i38]Chengxi Zang, Fei Wang:
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. CoRR abs/2110.04943 (2021) - [i37]Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou:
Persona Authentication through Generative Dialogue. CoRR abs/2110.12949 (2021) - [i36]Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li:
Incentive Compatible Pareto Alignment for Multi-Source Large Graphs. CoRR abs/2112.02792 (2021) - 2020
- [j82]Chang Su
, Jie Tong, Yongjun Zhu, Peng Cui, Fei Wang:
Network embedding in biomedical data science. Briefings Bioinform. 21(1): 182-197 (2020) - [j81]Mengying Sun, Sendong Zhao, Coryandar Gilvary, Olivier Elemento, Jiayu Zhou, Fei Wang:
Graph convolutional networks for computational drug development and discovery. Briefings Bioinform. 21(3): 919-935 (2020) - [j80]Jianqiang Li, Liyang Xie, Yunshen Xie, Fei Wang:
Bregmannian consensus clustering for cancer subtypes analysis. Comput. Methods Programs Biomed. 189: 105337 (2020) - [j79]Yongjun Zhu
, Chao Che, Bo Jin, Ningrui Zhang, Chang Su, Fei Wang:
Knowledge-driven drug repurposing using a comprehensive drug knowledge graph. Health Informatics J. 26(4): 2737-2750 (2020) - [j78]Ke Lu
, Fei Wang
, Ling Shao
, Weisheng Li
:
Editorial: Deep learning for medical image analysis. Neurocomputing 392: 121-123 (2020) - [j77]Meen Chul Kim
, Seojin Nam
, Fei Wang, Yongjun Zhu:
Mapping scientific landscapes in UMLS research: a scientometric review. J. Am. Medical Informatics Assoc. 27(10): 1612-1624 (2020) - [j76]Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo
, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang
, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang:
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks. J. Biomed. Informatics 102: 103361 (2020) - [j75]Yongjun Zhu, Woojin Jung
, Fei Wang, Chao Che:
Drug repurposing against Parkinson's disease by text mining the scientific literature. Libr. Hi Tech 38(4): 741-750 (2020) - [c184]Jie Xu, Zhenxing Xu, Peter B. Walker, Fei Wang:
Federated Patient Hashing. AAAI 2020: 6486-6493 - [c183]Mengying Sun, Fei Wang, Olivier Elemento, Jiayu Zhou:
Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract). AAAI 2020: 13927-13928 - [c182]Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson
, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau
, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME 2020: 14-25 - [c181]Pascal S. Brandt, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Faraz S. Ahmad, Jie Xu, Zhenxing Xu, Jessica S. Ancker, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen:
Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language. AMIA 2020 - [c180]Meghan Reading Turchioe, Natalie C. Benda, Lisa Grossman Liu, Fei Wang, Kristen E. Miller:
Designing a window into the "black box": User-centered design for improving interpretability of predictive models. AMIA 2020 - [c179]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 - [c178]Yingxue Li, Wenxiao Jia, Yashu Kang, Tiange Chen, Xiang Li, Xin Du, Jianzeng Dong
, Changsheng Ma, Fei Wang, Guotong Xie:
DeepComp: Which Competing Event Will Hit the Patient First? BIBM 2020: 629-636 - [c177]Xiao Qin, Cao Xiao, Tengfei Ma
, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang:
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding. IEEE BigData 2020: 758-767 - [c176]Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou:
Adversarial Precision Sensing with Healthcare Applications. ICDM 2020: 521-530 - [c175]Jie Xu, Zhenxing Xu, Bin Yu, Fei Wang:
Order-Preserving Metric Learning for Mining Multivariate Time Series. ICDM 2020: 711-720 - [c174]Sendong Zhao, Yong Huang, Chang Su, Yuantong Li
, Fei Wang:
Interactive Attention Networks for Semantic Text Matching. ICDM 2020: 861-870 - [c173]Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang:
Adversarial Infidelity Learning for Model Interpretation. KDD 2020: 286-296 - [c172]Chengxi Zang, Fei Wang:
MoFlow: An Invertible Flow Model for Generating Molecular Graphs. KDD 2020: 617-626 - [c171]Chengxi Zang, Fei Wang:
Neural Dynamics on Complex Networks. KDD 2020: 892-902 - [c170]Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang:
General-Purpose User Embeddings based on Mobile App Usage. KDD 2020: 2831-2840 - [c169]Fei Wang, Peng Cui, Jian Pei
, Yangqiu Song, Chengxi Zang:
Recent Advances on Graph Analytics and Its Applications in Healthcare. KDD 2020: 3545-3546 - [i35]Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang:
General-Purpose User Embeddings based on Mobile App Usage. CoRR abs/2005.13303 (2020) - [i34]Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang:
Adversarial Infidelity Learning for Model Interpretation. CoRR abs/2006.05379 (2020) - [i33]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why is Attention Not So Attentive? CoRR abs/2006.05656 (2020) - [i32]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility. CoRR abs/2006.08267 (2020) - [i31]Chengxi Zang, Fei Wang:
MoFlow: An Invertible Flow Model for Generating Molecular Graphs. CoRR abs/2006.10137 (2020) - [i30]Karan Yang, Chengxi Zang, Fei Wang:
Visualizing Deep Graph Generative Models for Drug Discovery. CoRR abs/2007.10333 (2020) - [i29]Jie Xu, Wei Zhang, Fei Wang:
A(DP)2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy. CoRR abs/2008.09246 (2020) - [i28]Mingkai Huang, Hao Li, Bing Bai, Chang Wang, Kun Bai, Fei Wang:
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations. CoRR abs/2008.10808 (2020) - [i27]Jian Liang, Yuren Cao, Shuang Li, Bing Bai, Hao Li, Fei Wang, Kun Bai:
Domain Agnostic Learning for Unbiased Authentication. CoRR abs/2010.05250 (2020) - [i26]Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang:
Robust Finite Mixture Regression for Heterogeneous Targets. CoRR abs/2010.05430 (2020) - [i25]Sendong Zhao, Bing Qin, Ting Liu, Fei Wang:
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules. CoRR abs/2012.01031 (2020)
2010 – 2019
- 2019
- [j74]Jianqiang Li, Jingchao Sun
, Lu Liu, Bo Liu, Cao Xiao, Fei Wang:
Improved Maximum Margin Clustering via the Bundle Method. IEEE Access 7: 63709-63721 (2019) - [j73]Yongjun Zhu
, Olivier Elemento, Jyotishman Pathak, Fei Wang:
Drug knowledge bases and their applications in biomedical informatics research. Briefings Bioinform. 20(4): 1308-1321 (2019) - [j72]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) - [j71]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) - [j70]Robert Moskovitch
, Yuval Shahar
, Fei Wang, George Hripcsak:
Temporal biomedical data analytics. J. Biomed. Informatics 90 (2019) - [j69]Na Hong, Andrew Wen, Daniel J. Stone, Shintaro Tsuji, Paul R. Kingsbury, Luke V. Rasmussen
, Jennifer A. Pacheco
, Prakash Adekkanattu, Fei Wang
, Yuan Luo
, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries. J. Biomed. Informatics 99 (2019) - [j68]Jianqiang Li
, Xiyue Tan
, Xi Xu
, Fei Wang:
Efficient Mining Template of Predictive Temporal Clinical Event Patterns From Patient Electronic Medical Records. IEEE J. Biomed. Health Informatics 23(5): 2138-2147 (2019) - [c168]Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang:
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. AAAI 2019: 817-824 - [c167]Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang,