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ORCIDFei 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, USA
- affiliation (former): Florida International University, Miami, FL, USA
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
![[0000-0003-3462-8472]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3462-8472")
— 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
- Fei Wang 0063 — University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, Hefei, China
- Fei Wang 0064 — Nanjing Medical University, Department of Psychiatry, China
- Fei Wang 0065 — Amazon, San Francisco, CA, USA (and 1 more)
- Fei Wang 0066 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, China (and 1 more)
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2020 – today
- 2024
[j124]Yu Huang, Jingchuan Guo, Wei-Han William Chen, Hsin-Yueh Lin, Huilin Tang, Fei Wang, Hua Xu, Jiang Bian:
A scoping review of fair machine learning techniques when using real-world data. J. Biomed. Informatics 151: 104622 (2024)- [j123]Gongbo Zhang, Qiao Jin, Denis Jered McInerney, Yong Chen, Fei Wang, Curtis L. Cole, Qian Yang, Yanshan Wang, Bradley A. Malin, Mor Peleg, Byron C. Wallace, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. J. Biomed. Informatics 153: 104640 (2024) - [j122]Ken Sinkou Qin, Di Liu, Fei Wang, Jingchun Zhou, Jiaxuan Yang, Weishi Zhang:
Improved YOLOv7 model for underwater sonar image object detection. J. Vis. Commun. Image Represent. 100: 104124 (2024) - [j121]Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng:
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine 7(1) (2024) - [j120]Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng:
Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine 7(1) (2024) - [j119]Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang:
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. npj Digit. Medicine 7(1) (2024) - [j118]Weishen Pan, Zhenxing Xu, Suraj Rajendran, Fei Wang:
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals. Patterns 5(1): 100898 (2024) - [j117]Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang:
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation. Patterns 5(2): 100913 (2024) - [j116]Shao-Qun Zhang, Fei Wang, Feng-Lei Fan:
Neural Network Gaussian Processes by Increasing Depth. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2881-2886 (2024) - [j115]Tianming Liu, Dajiang Zhu, Fei Wang, Islem Rekik, Xia Ben Hu, Dinggang Shen:
Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7271-7274 (2024) - [c243]Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong:
Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph. ACL (Findings) 2024: 839-850 - [c242]Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang:
CLAP: Collaborative Adaptation for Patchwork Learning. ICLR 2024 - [c241]Shenda Hong, Daoxin Yin, Gongzheng Tang, Tianfan Fu, Liantao Ma, Junyi Gao, Mengling Feng, Mai Wang, Yu Yang, Fei Wang, Hongfang Liu, Luxia Zhang:
Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare. KDD 2024: 6720-6721 - [i69]Mingquan Lin, Tianhao Li, Zhaoyi Sun, Gregory Holste, Ying Ding, Fei Wang, George Shih, Yifan Peng:
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning. CoRR abs/2401.15111 (2024) - [i68]Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng:
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. CoRR abs/2405.08780 (2024) - [i67]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR abs/2405.17921 (2024) - 2023
- [j114]Mingquan Lin, Bo-Jian Hou, Swati Mishra, Tianyuan Yao, Yuankai Huo, Qian Yang, Fei Wang, George Shih, Yifan Peng:
Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access. Comput. Biol. Medicine 159: 106962 (2023) - [j113]Bo Liu, Xingrui Li, Huina Wang, Shuangtao Zhao, Jianqiang Li, Guangzhi Qu, Fei Wang:
Retyping of triple-negative breast cancer based on clustering method. Expert Syst. J. Knowl. Eng. 40(2) (2023) - [j112]Zhaoyi Chen, Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu, Jingchuan Guo, Mattia 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) - [j111]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) - [j110]Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng:
A scoping review on multimodal deep learning in biomedical images and texts. J. Biomed. Informatics 146: 104482 (2023) - [j109]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
A translational perspective towards clinical AI fairness. npj Digit. Medicine 6 (2023) - [j108]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13235-13249 (2023) - [j107]Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li:
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data. ACM Trans. Inf. Syst. 41(4): 99:1-99:29 (2023) - [c240]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 - [c239]Neha Manjunath, Ze Yuan Li, Eunsol Soul Choi, Srijan Sen, Fei Wang, Daniel A. Adler:
Can Data Augmentation Improve Daily Mood Prediction from Wearable Data? An Empirical Study. UbiComp/ISWC Adjunct 2023: 632-637 - [c238]Tingyi Wanyan, Mingquan Lin, Ying Ding, Benjamin S. Glicksberg, Fei Wang, Yifan Peng:
Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction. ICHI 2023: 101-110 - [c237]Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov:
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. ICML 2023: 36336-36354 - [c236]Chunyu Wei, Jian Liang, Di Liu, Zehui Dai, Mang Li, Fei Wang:
Meta Graph Learning for Long-tail Recommendation. KDD 2023: 2512-2522 - [c235]Chengxi Zang, Weishen Pan, Fei Wang:
Mining Electronic Health Records for Real-World Evidence. KDD 2023: 5837-5838 - [c234]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: Applications and New Frontiers of Generative Models for Healthcare. KDD 2023: 5893-5894 - [c233]Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi:
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. CDPD 2023: 1-2 - [e2]Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi:
The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA. Proceedings of Machine Learning Research 218, PMLR 2023 [contents] - [i66]Feng-Lei Fan, Yingxin Li, Hanchuan Peng, Tieyong Zeng, Fei Wang:
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks. CoRR abs/2301.09245 (2023) - [i65]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) - [i64]Qianqian Xie, Jiayu Zhou, Yifan Peng, Fei Wang:
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization. CoRR abs/2303.08335 (2023) - [i63]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
Towards clinical AI fairness: A translational perspective. CoRR abs/2304.13493 (2023) - [i62]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) - [i61]Feng-Lei Fan, Wei Huang, Xiangru Zhong, Lecheng Ruan, Tieyong Zeng, Huan Xiong, Fei Wang:
Deep ReLU Networks Have Surprisingly Simple Polytopes. CoRR abs/2305.09145 (2023) - [i60]Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov:
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. CoRR abs/2306.08757 (2023) - [i59]Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng:
A scoping review on multimodal deep learning in biomedical images and texts. CoRR abs/2307.07362 (2023) - [i58]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. CoRR abs/2307.07513 (2023) - [i57]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment. CoRR abs/2307.14668 (2023) - [i56]Gongbo Zhang, Qiao Jin, Denis Jered McInerney, Yong Chen, Fei Wang, Curtis L. Cole, Qian Yang, Yanshan Wang, Bradley A. Malin, Mor Peleg, Byron C. Wallace, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. CoRR abs/2311.11211 (2023) - 2022
- [j106]Sendong Zhao, Aobo Wang, Bing Qin, Fei Wang:
Biomedical evidence engineering for data-driven discovery. Bioinform. 38(23): 5270-5278 (2022) - [j105]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) - [j104]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) - [j103]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) - [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]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) - [c232]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 - [c231]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 - [c230]Justin Xiang, Richard Bell, Matthew Brendel, Edward Schwarz, Fei Wang:
Improving Cell Type Classification in Histology Images with Active Learning. AMIA 2022 - [c229]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 - [c228]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 - [c227]Wei Qian, Chenxu Zhao, Huajie Shao, Minghan Chen, Fei Wang, Mengdi Huai:
Patient Similarity Learning with Selective Forgetting. BIBM 2022: 529-534 - [c226]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Collaboration Equilibrium in Federated Learning. KDD 2022: 241-251 - [c225]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 - [c224]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 - [c223]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 - [c222]Chunyu Wei, Jian Liang, Di Liu, Fei Wang:
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation. NeurIPS 2022 - [c221]Chunyu Wei, Bing Bai, Kun Bai, Fei Wang:
GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction. WWW 2022: 2120-2130 - [i55]Dayang Wang, Feng-Lei Fan, Bojian Hou, Hao Zhang, Rongjie Lai, Hengyong Yu, Fei Wang:
Manifoldron: Direct Space Partition via Manifold Discovery. CoRR abs/2201.05279 (2022) - [i54]Qiyuan An, Ruijiang Li, Lin Gu, Hao Zhang, Qingyu Chen, Zhiyong Lu, Fei Wang, Yingying Zhu:
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis. CoRR abs/2201.07317 (2022) - [i53]Dayang Wang, Fenglei Fan, Zhan Wu, Rui Liu, Fei Wang, Hengyong Yu:
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising. CoRR abs/2202.13517 (2022) - [i52]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) - [i51]Jianmin Chen, Robert H. Aseltine, Fei Wang, Kun Chen:
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data. CoRR abs/2206.09107 (2022) - [i50]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) - [i49]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
- [j96]Sendong Zhao, Chang Su, Zhiyong Lu, Fei Wang:
Recent advances in biomedical literature mining. Briefings Bioinform. 22(3) (2021) - [j95]Yi Guo, Yahan Zhang, Tianchen Lyu, Mattia 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) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J. George, Mattia 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) - [j88]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) - [c220]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 - [c219]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 - [c218]Yufang Huang, Yifan Liu, Peter A. D. Steel, Kelly M. Axsom, John R. Lee, Sri Lekha Tummalapalli, Alison Hermann, Rochelle Joly, Fei Wang, Jyotishman Pathak, Lakshminarayanan Subramanian, Yiye Zhang:
Deep Significance Clustering (DICE) a Heterogenous Population. AMIA 2021 - [c217]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 - [c216]Yuan Luo, Fei Wang, Benjamin S. Glicksberg, Jessilyn Dunn, Nigam Shah:
Multi-Modal Data Science for Healthcare: State of the Art, Challenges, and Opportunities. AMIA 2021 - [c215]Yuan Luo, Fei Wang, Marinka Zitnik, Shuiwang Ji:
Graph Based Machine Learning for Healthcare: State of the Art, Challenges, and Opportunities. AMIA 2021 - [c214]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 - [c213]Daniel J. Stone, Sijia Liu, Yuan Luo, Andrew Wen, Nansu Zong, Luke V. Rasmussen, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Fei Wang, Cui Tao, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
FHIRTime: Standardizing Temporal Patterns Identified from Clinical Narratives Using HL7 FHIR. AMIA 2021 - [c212]Andrew Wen, Luke V. Rasmussen, Daniel J. Stone, Sijia Liu, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Yuan Luo, Fei Wang, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
On Constraints and Considerations for Extending Support for Natural Language Processing-Based FHIR Resource Generation. AMIA 2021 - [c211]Yi He, Jiaxian Dong, Bo-Jian Hou, Yu Wang, Fei Wang:
Online Learning in Variable Feature Spaces with Mixed Data. ICDM 2021: 181-190 - [c210]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 - [c209]Chengxi Zang, Fei Wang:
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. ICDM 2021: 857-866 - [c208]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 - [c207]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why Attentions May Not Be Interpretable? KDD 2021: 25-34 - [c206]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 - [c205]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 - [c204]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. KDD 2021: 1287-1297 - [c203]Zhengze Zhou, Giles Hooker, Fei Wang:
S-LIME: Stabilized-LIME for Model Explanation. KDD 2021: 2429-2438 - [c202]Jian Tang, Fei Wang, Feixiong Cheng:
Artificial Intelligence for Drug Discovery. KDD 2021: 4074-4075 - [c201]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 - [c200]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS 2021: 26091-26102 - [i48]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) - [i47]Zhengze Zhou, Giles Hooker, Fei Wang:
S-LIME: Stabilized-LIME for Model Explanation. CoRR abs/2106.07875 (2021) - [i46]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. CoRR abs/2108.05335 (2021) - [i45]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Learning to Collaborate. CoRR abs/2108.07926 (2021) - [i44]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Fair and Consistent Federated Learning. CoRR abs/2108.08435 (2021) - [i43]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) - [i42]Chengxi Zang, Fei Wang:
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. CoRR abs/2110.04943 (2021) - [i41]Fenglei Fan, Mengzhou Li, Fei Wang, Rongjie Lai, Ge Wang:
Expressivity and Trainability of Quadratic Networks. CoRR abs/2110.06081 (2021) - [i40]Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou:
Persona Authentication through Generative Dialogue. CoRR abs/2110.12949 (2021) - [i39]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
- [j87]Chang Su, Jie Tong, Yongjun Zhu, Peng Cui, Fei Wang:
Network embedding in biomedical data science. Briefings Bioinform. 21(1): 182-197 (2020) - [j86]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) - [j85]Jianqiang Li, Liyang Xie, Yunshen Xie, Fei Wang:
Bregmannian consensus clustering for cancer subtypes analysis. Comput. Methods Programs Biomed. 189: 105337 (2020) - [j84]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) - [j83]Ke Lu, Fei Wang, Ling Shao, Weisheng Li:
Editorial: Deep learning for medical image analysis. Neurocomputing 392: 121-123 (2020) - [j82]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) - [j81]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) - [j80]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) - [c199]Jie Xu, Zhenxing Xu, Peter B. Walker, Fei Wang:
Federated Patient Hashing. AAAI 2020: 6486-6493 - [c198]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 - [c197]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 - [c196]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 - [c195]Timothy A. Miller, Dmitriy Dligach, Fei Wang, Yuqi Si, Funda Meric-Bernstam:
Learning Patient Representations from Electronic Health Records across Diverse Data Types. AMIA 2020 - [c194]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: A Systematic Review. AMIA 2020 - [c193]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 - [c192]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 - [c191]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 - [c190]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 - [c189]Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou:
Adversarial Precision Sensing with Healthcare Applications. ICDM 2020: 521-530 - [c188]Jie Xu, Zhenxing Xu, Bin Yu, Fei Wang:
Order-Preserving Metric Learning for Mining Multivariate Time Series. ICDM 2020: 711-720 - [c187]Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang:
Interactive Attention Networks for Semantic Text Matching. ICDM 2020: 861-870 - [c186]Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang:
Adversarial Infidelity Learning for Model Interpretation. KDD 2020: 286-296 - [c185]Chengxi Zang, Fei Wang:
MoFlow: An Invertible Flow Model for Generating Molecular Graphs. KDD 2020: 617-626 - [c184]Chengxi Zang, Fei Wang:
Neural Dynamics on Complex Networks. KDD 2020: 892-902 - [c183]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 - [c182]Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang:
Recent Advances on Graph Analytics and Its Applications in Healthcare. KDD 2020: 3545-3546 - [i38]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) - [i37]Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang:
Adversarial Infidelity Learning for Model Interpretation. CoRR abs/2006.05379 (2020) - [i36]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why is Attention Not So Attentive? CoRR abs/2006.05656 (2020) - [i35]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) - [i34]Chengxi Zang, Fei Wang:
MoFlow: An Invertible Flow Model for Generating Molecular Graphs. CoRR abs/2006.10137 (2020) - [i33]Karan Yang, Chengxi Zang, Fei Wang:
Visualizing Deep Graph Generative Models for Drug Discovery. CoRR abs/2007.10333 (2020) - [i32]Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li:
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning. CoRR abs/2007.12355 (2020) - [i31]Jie Xu, Wei Zhang, Fei Wang:
A(DP)2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy. CoRR abs/2008.09246 (2020) - [i30]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) - [i29]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. CoRR abs/2010.02809 (2020) - [i28]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) - [i27]Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang:
Robust Finite Mixture Regression for Heterogeneous Targets. CoRR abs/2010.05430 (2020) - [i26]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
- [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]Robert Moskovitch, Yuval Shahar, Fei Wang, George Hripcsak:
Temporal biomedical data analytics. J. Biomed. Informatics 90 (2019) - [j74]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) - [j73]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) - [c181]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 - [c180]Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu:
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. AAAI 2019: 4683-4690 - [c179]Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang:
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios. AAAI 2019: 5313-5320 - [c178]Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak:
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. AMIA 2019 - [c177]Luke V. Rasmussen, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Jessica S. Ancker, Fei Wang, Zhenxing Xu, Jyotishman Pathak, Yuan Luo:
Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms. AMIA 2019 - [c176]Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang:
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. CIKM 2019: 149-158 - [c175]Yujuan Feng, Zhenxing Xu, Lin Gan, Ning Chen, Bin Yu, Ting Chen, Fei Wang:
DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data. ICDM 2019: 200-209 - [c174]Chengxi Zang, Peng Cui, Wenwu Zhu, Fei Wang:
Dynamical Origins of Distribution Functions. KDD 2019: 469-478 - [c173]Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman:
Retaining Privileged Information for Multi-Task Learning. KDD 2019: 1369-1377 - [c172]Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, Fei Wang:
Uncovering Pattern Formation of Information Flow. KDD 2019: 1691-1699 - [c171]Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang:
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. KDD 2019: 2487-2495 - [c170]Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu:
Learning From Networks: Algorithms, Theory, and Applications. KDD 2019: 3221-3222 - [c169]Zhenxing Xu, Yuan Luo, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang:
Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care. MedInfo 2019: 462-466 - [c168]Hongying Liu, Xiongjie Shen, Fanhua Shang, Feihang Ge, Fei Wang:
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. MBIA/MFCA@MICCAI 2019: 102-111 - [i25]Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang:
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. CoRR abs/1902.03376 (2019) - [i24]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:
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks. CoRR abs/1904.04990 (2019) - [i23]Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak:
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. CoRR abs/1905.01961 (2019) - [i22]Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang:
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. CoRR abs/1905.03218 (2019) - [i21]Hongying Liu, Xiongjie Shen, Fanhua Shang, Fei Wang:
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. CoRR abs/1907.07677 (2019) - [i20]Chengxi Zang, Fei Wang:
Neural Dynamics on Complex Networks. CoRR abs/1908.06491 (2019) - [i19]Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang:
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. CoRR abs/1911.00760 (2019) - [i18]Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang:
Interactive Attention for Semantic Text Matching. CoRR abs/1911.06146 (2019) - [i17]Jie Xu, Fei Wang:
Federated Learning for Healthcare Informatics. CoRR abs/1911.06270 (2019) - [i16]Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow:
Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records. CoRR abs/1911.06472 (2019) - 2018
- [j72]Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T. Dudley:
Deep learning for healthcare: review, opportunities and challenges. Briefings Bioinform. 19(6): 1236-1246 (2018) - [j71]Xiping Hu, Jun Cheng, Mengchu Zhou, Bin Hu, Xin Jiang, Yi Guo, Kun Bai, Fei Wang:
Emotion-Aware Cognitive System in Multi-Channel Cognitive Radio Ad Hoc Networks. IEEE Commun. Mag. 56(4): 180-187 (2018) - [j70]Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang:
Robust finite mixture regression for heterogeneous targets. Data Min. Knowl. Discov. 32(6): 1509-1560 (2018) - [j69]Laila Rasmy, Yonghui Wu, Ningtao Wang, Xin Geng, W. Jim Zheng, Fei Wang, Hulin Wu, Hua Xu, Degui Zhi:
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set. J. Biomed. Informatics 84: 11-16 (2018) - [j68]Min-hyung Kim, Samprit Banerjee, Yize Zhao, Fei Wang, Yiye Zhang, Yongjun Zhu, Joseph DeFerio, Lauren Evans, Sang Min Park, Jyotishman Pathak:
Association networks in a matched case-control design - Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls. J. Biomed. Informatics 87: 88-95 (2018) - [j67]Xia Hu, Gregor Stiglic, Fei Wang:
Special Issue on Data Mining in Health Informatics. J. Heal. Informatics Res. 2(4): 367-369 (2018) - [j66]Chang Su, Xiaohong Guan, Youtian Du, Qian Wang, Fei Wang:
A fast multi-level algorithm for community detection in directed online social networks. J. Inf. Sci. 44(3): 392-407 (2018) - [j65]Chongliang Luo, Jian Liang, Gen Li, Fei Wang, Changshui Zhang, Dipak K. Dey, Kun Chen:
Leveraging mixed and incomplete outcomes via reduced-rank modeling. J. Multivar. Anal. 167: 378-394 (2018) - [j64]Xiping Hu, Zhaolong Ning, Kuan Zhang, Edith C. H. Ngai, Kun Bai, Fei Wang:
Crowdsourcing for Mobile Networks and IoT. Wirel. Commun. Mob. Comput. 2018: 6231236:1-6231236:2 (2018) - [c167]Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu:
Structural Deep Embedding for Hyper-Networks. AAAI 2018: 426-433 - [c166]Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang:
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease. AMIA 2018 - [c165]Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo:
Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. BIBM 2018: 1189-1194 - [c164]Rui Zhang, Minwei Feng, Wei Zhang, Siyuan Lu, Fei Wang:
Forecast of Solar Energy Production - A Deep Learning Approach. ICBK 2018: 73-82 - [c163]Xi Zhang, Jingyuan Chou, Fei Wang:
Integrative Analysis of Patient Health Records and Neuroimages via Memory-Based Graph Convolutional Network. ICDM 2018: 767-776 - [c162]Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou:
Heterogeneous Hyper-Network Embedding. ICDM 2018: 875-880 - [c161]Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-view Clustering. ICDM 2018: 1007-1012 - [c160]Min-hyung Kim, Yongjun Zhu, Samprit Banerjee, Lauren Evans, Yiye Zhang, Fei Wang, Sang Min Park, Jyotishman Pathak:
Comparing Sex-Specific Association Networks of Chronic Medical Conditions. ICHI 2018: 368-370 - [c159]Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang:
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. IJCAI 2018: 3477-3483 - [c158]Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang:
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction. IJCAI 2018: 3520-3526 - [c157]Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou:
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. KDD 2018: 793-801 - [c156]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 - [c155]Yonghwi Kwon, Fei Wang, Weihang Wang, Kyu Hyung Lee, Wen-Chuan Lee, Shiqing Ma, Xiangyu Zhang, Dongyan Xu, Somesh Jha, Gabriela F. Ciocarlie, Ashish Gehani, Vinod Yegneswaran:
MCI : Modeling-based Causality Inference in Audit Logging for Attack Investigation. NDSS 2018 - [c154]Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang:
Boosted Sparse and Low-Rank Tensor Regression. NeurIPS 2018: 1017-1026 - [c153]Rachel Hodos, Ping Zhang, Hao-Chih Lee, Qiaonan Duan, Zichen Wang, Neil R. Clark, Avi Ma'ayan, Fei Wang, Brian A. Kidd, Jianying Hu, David A. Sontag, Joel Dudley:
Cell-specific prediction and application of drug-induced gene expression . PSB 2018: 32-43 - [c152]Tengfei Ma, Cao Xiao, Fei Wang:
Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction. SDM 2018: 261-269 - [c151]Bo Liu, Xingrui Li, Jianqiang Li, Yong Li, Jianlei Lang, Rentao Gu, Fei Wang:
Comparison of Machine Learning Classifiers for Breast Cancer Diagnosis Based on Feature Selection. SMC 2018: 4399-4404 - [i15]Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou:
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. CoRR abs/1802.04822 (2018) - [i14]Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, Jiayu Zhou:
Differentially Private Generative Adversarial Network. CoRR abs/1802.06739 (2018) - [i13]Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang:
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. CoRR abs/1804.10850 (2018) - [i12]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) - [i11]Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang:
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease. CoRR abs/1805.08801 (2018) - [i10]Xi Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Sendong Zhao, Xu Min, Fei Wang:
The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations. CoRR abs/1806.09737 (2018) - [i9]Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. CoRR abs/1809.06546 (2018) - [i8]Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo:
Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. CoRR abs/1809.10680 (2018) - [i7]Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-View Clustering. CoRR abs/1810.07874 (2018) - [i6]Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang:
Boosted Sparse and Low-Rank Tensor Regression. CoRR abs/1811.01158 (2018) - [i5]Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu:
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. CoRR abs/1811.07503 (2018) - [i4]Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang:
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. CoRR abs/1812.06081 (2018) - 2017
- [j63]Yuan Luo, Fei Wang, Peter Szolovits:
Tensor factorization toward precision medicine. Briefings Bioinform. 18(3): 511-514 (2017) - [j62]Robert Moskovitch, Fei Wang, Jian Pei, Carol Friedman:
JASIST special issue on biomedical information retrieval. J. Assoc. Inf. Sci. Technol. 68(11): 2525-2528 (2017) - [j61]Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang:
Uncovering and predicting the dynamic process of information cascades with survival model. Knowl. Inf. Syst. 50(2): 633-659 (2017) - [j60]Yongjun Zhu, Erjia Yan, Fei Wang:
Semantic relatedness and similarity of biomedical terms: examining the effects of recency, size, and section of biomedical publications on the performance of word2vec. BMC Medical Informatics Decis. Mak. 17(1): 95:1-95:8 (2017) - [j59]Fei Wang, Xiaoli Li, Jason T. L. Wang, See-Kiong Ng:
Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 501-502 (2017) - [j58]Jianqiang Li, Fei Wang:
Towards Unsupervised Gene Selection: A Matrix Factorization Framework. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 514-521 (2017) - [j57]Mohammad Akbari, Xia Hu, Fei Wang, Tat-Seng Chua:
Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality. IEEE Trans. Knowl. Data Eng. 29(10): 2360-2373 (2017) - [c150]Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang:
Treatment Effect Estimation with Data-Driven Variable Decomposition. AAAI 2017: 140-146 - [c149]Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang:
Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. AAAI 2017: 1367-1373 - [c148]Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang:
Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation. AAAI 2017: 1590-1596 - [c147]Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang:
TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. AAAI 2017: 2824-2830 - [c146]Xi Zhang, Jian Liang, Cao Xiao, Yize Zhao, Fei Wang:
Subtyping Parkinson's Disease with Recurrent Neural Network Models. AMIA 2017 - [c145]Shijing Guo, Xiang Li, Haifeng Liu, Ping Zhang, Xin Du, Guotong Xie, Fei Wang:
Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation. CRI 2017 - [c144]Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang:
GaDei: On Scale-Up Training as a Service for Deep Learning. ICDM 2017: 1195-1200 - [c143]Suyog Gupta, Wei Zhang, Fei Wang:
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study. IJCAI 2017: 4854-4858 - [c142]Shudong Huang, Zenglin Xu, Fei Wang:
Nonnegative matrix factorization with adaptive neighbors. IJCNN 2017: 486-493 - [c141]Zilong Bai, Peter B. Walker, Anna E. Tschiffely, Fei Wang, Ian Davidson:
Unsupervised Network Discovery for Brain Imaging Data. KDD 2017: 55-64 - [c140]Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou:
Patient Subtyping via Time-Aware LSTM Networks. KDD 2017: 65-74 - [c139]Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun:
SPARTan: Scalable PARAFAC2 for Large & Sparse Data. KDD 2017: 375-384 - [c138]Yashu Liu, Shuang Qiu, Ping Zhang, Pinghua Gong, Fei Wang, Guoliang Xue, Jieping Ye:
Computational Drug Discovery with Dyadic Positive-Unlabeled Learning. SDM 2017: 45-53 - [c137]Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun:
Polyadic Regression and its Application to Chemogenomics. SDM 2017: 72-80 - [c136]Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, Fei Wang:
An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. SDM 2017: 198-206 - [c135]Shiqing Ma, Juan Zhai, Fei Wang, Kyu Hyung Lee, Xiangyu Zhang, Dongyan Xu:
MPI: Multiple Perspective Attack Investigation with Semantic Aware Execution Partitioning. USENIX Security Symposium 2017: 1111-1128 - [c134]Xiping Hu, Kun Bai, Jun Cheng, Jun-qi Deng, Yanxiang Guo, Bin Hu, Arun Sai Krishnan, Fei Wang:
MeDJ: Multidimensional Emotion-aware Music Delivery for Adolescent. WWW (Companion Volume) 2017: 793-794 - [i3]Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun:
SPARTan: Scalable PARAFAC2 for Large & Sparse Data. CoRR abs/1703.04219 (2017) - [i2]Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu:
Structural Deep Embedding for Hyper-Networks. CoRR abs/1711.10146 (2017) - 2016
- [j56]Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou:
Stochastic convex sparse principal component analysis. EURASIP J. Bioinform. Syst. Biol. 2016: 15 (2016) - [j55]Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang:
Online Behavioral Analysis and Modeling [Guest Editorial]. IEEE Intell. Syst. 31(1): 2-4 (2016) - [j54]Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang:
Uncovering and Predicting Human Behaviors. IEEE Intell. Syst. 31(2): 77-88 (2016) - [j53]Jianqiang Li, Fei Wang:
Semi-supervised learning via mean field methods. Neurocomputing 177: 385-393 (2016) - [j52]Ziqi Liu, Qinghua Zheng, Fei Wang, Buyue Qian:
Nonparametric models for characterizing the topical communities in social network. Neurocomputing 216: 439-450 (2016) - [j51]Robert Moskovitch, Fei Wang, Yuval Shahar, George Hripcsak:
Temporal data analytics. J. Biomed. Informatics 62: 276-277 (2016) - [j50]Bin Liu, Zenglin Xu, Shuang Wu, Fei Wang:
Manifold regularized matrix completion for multilabel classification. Pattern Recognit. Lett. 80: 58-63 (2016) - [j49]Hanghang Tong, Fei Wang, Munmun De Choudhury, Zoran Obradovic:
Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue. ACM Trans. Knowl. Discov. Data 10(4): 37:1-37:4 (2016) - [j48]Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou:
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records. IEEE Trans. Multim. 18(11): 2257-2270 (2016) - [c133]Kexin Pei, Zhongshu Gu, Brendan Saltaformaggio, Shiqing Ma, Fei Wang, Zhiwei Zhang, Luo Si, Xiangyu Zhang, Dongyan Xu:
HERCULE: attack story reconstruction via community discovery on correlated log graph. ACSAC 2016: 583-595 - [c132]Fei Wang, Gregor Stiglic, Mihaela van der Schaar, David A. Sontag, Christopher C. Yang:
Data Mining for Medical Informatics (DMMI) - Learning Health. AMIA 2016 - [c131]Kun Chen, Fei Wang, Robert H. Aseltine:
Using Hospitalization and Suicide Mortality Data to Identify Subpopulation of High Suicide Risk via Survival Modeling. AMIA 2016 - [c130]Yuan Luo, Jimeng Sun, Xiaoqian Jiang, Fei Wang:
Computational Phenotyping Methods. AMIA 2016 - [c129]Lina M. Sulieman, Daniel Fabbri, Fei Wang, Jianying Hu, Bradley A. Malin:
Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients. AMIA 2016 - [c128]Suyog Gupta, Wei Zhang, Fei Wang:
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study. ICDM 2016: 171-180 - [c127]Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang:
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. ICDM 2016: 749-758 - [c126]Jian Liang, Rui Lu, Changshui Zhang, Fei Wang:
Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy. ICHI 2016: 184-191 - [c125]Jian Liang, Rui Lu, Changshui Zhang, Fei Wang:
Poster Paper: Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy. ICHI 2016: 315 - [c124]Fei Wang, Rui Liu, Yuan Zuo, Hui Zhang, He Zhang, Junjie Wu:
Robust Word-Network Topic Model for Short Texts. ICTAI 2016: 852-856 - [c123]Yuan Zuo, Junjie Wu, Hui Zhang, Hao Lin, Fei Wang, Ke Xu, Hui Xiong:
Topic Modeling of Short Texts: A Pseudo-Document View. KDD 2016: 2105-2114 - [c122]Fei Wang, Ping Zhang, Joel Dudley:
Healthcare Data Mining with Matrix Models. KDD 2016: 2137-2138 - [c121]Yu Cheng, Fei Wang, Ping Zhang, Jianying Hu:
Risk Prediction with Electronic Health Records: A Deep Learning Approach. SDM 2016: 432-440 - 2015
- [j47]Fei Wang, Jimeng Sun:
Survey on distance metric learning and dimensionality reduction in data mining. Data Min. Knowl. Discov. 29(2): 534-564 (2015) - [j46]Fei Wang, Gregor Stiglic, Zoran Obradovic, Ian Davidson:
Guest editorial: Special issue on data mining for medicine and healthcare. Data Min. Knowl. Discov. 29(4): 867-870 (2015) - [j45]Xiang Wang, Fei Wang, Jianying Hu, Robert Sorrentino:
Towards actionable risk stratification: A bilinear approach. J. Biomed. Informatics 53: 147-155 (2015) - [j44]Fei Wang:
Adaptive semi-supervised recursive tree partitioning: The ART towards large scale patient indexing in personalized healthcare. J. Biomed. Informatics 55: 41-54 (2015) - [j43]Adam Perer, Fei Wang, Jianying Hu:
Mining and exploring care pathways from electronic medical records with visual analytics. J. Biomed. Informatics 56: 369-378 (2015) - [j42]Nan Cao, Lu Lu, Yu-Ru Lin, Fei Wang, Zhen Wen:
SocialHelix: visual analysis of sentiment divergence in social media. J. Vis. 18(2): 221-235 (2015) - [j41]Ming Lin, Fei Wang, Changshui Zhang:
Large-scale eigenvector approximation via Hilbert Space Embedding Nyström. Pattern Recognit. 48(5): 1904-1912 (2015) - [j40]Fei Wang, Jimeng Sun:
PSF: A Unified Patient Similarity Evaluation Framework Through Metric Learning With Weak Supervision. IEEE J. Biomed. Health Informatics 19(3): 1053-1060 (2015) - [j39]Meng Jiang, Peng Cui, Xumin Chen, Fei Wang, Wenwu Zhu, Shiqiang Yang:
Social Recommendation with Cross-Domain Transferable Knowledge. IEEE Trans. Knowl. Data Eng. 27(11): 3084-3097 (2015) - [c120]Peng Cui, Tianyang Zhang, Fei Wang, Peng He:
Perceiving Group Themes from Collective Social and Behavioral Information. AAAI 2015: 65-71 - [c119]Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu:
Probabilistic Attributed Hashing. AAAI 2015: 2894-2900 - [c118]Zhengxing Huang, Wei Dong, Fei Wang, Huilong Duan:
Medical Inpatient Journey Modeling and Clustering: A Bayesian Hidden Markov Model Based Approach. AMIA 2015 - [c117]Cristina Soguero-Ruíz, Fei Wang, Robert Jenssen, Knut Magne Augestad, José Luis Rojo-Álvarez, Inmaculada Mora-Jiménez, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth:
Data-driven Temporal Prediction of Surgical Site Infection. AMIA 2015 - [c116]Ping Zhang, Zhaonan Sun, Fei Wang, Jianying Hu:
Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning. AMIA 2015 - [c115]Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang:
From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics. ICDM 2015: 559-568 - [c114]Yuan Zuo, Junjie Wu, Hui Zhang, Deqing Wang, Hao Lin, Fei Wang, Ke Xu:
Complementary Aspect-Based Opinion Mining Across Asymmetric Collections. ICDM 2015: 669-678 - [c113]Robert Moskovitch, Colin G. Walsh, Fei Wang, George Hripcsak, Nicholas P. Tatonetti:
Outcomes Prediction via Time Intervals Related Patterns. ICDM 2015: 919-924 - [c112]Fei Wang, Gregor Stiglic:
Data Analytics in Healthcare Informatics. ICHI 2015: 444 - [c111]Chuanren Liu, Fei Wang, Jianying Hu, Hui Xiong:
Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework. KDD 2015: 705-714 - [c110]Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu:
Non-transitive Hashing with Latent Similarity Components. KDD 2015: 895-904 - [c109]Zhaonan Sun, Fei Wang, Jianying Hu:
LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management. KDD 2015: 1145-1154 - [c108]Haifeng Liu, Xiang Li, Yiqin Yu, Jing Mei, Guo Tong Xie, Adam Perer, Fei Wang, Jianying Hu:
Synthesizing Analytic Evidence to Refine Care Pathways. MIE 2015: 70-74 - [c107]Xiang Li, Jing Mei, Haifeng Liu, Yiqin Yu, Guotong Xie, Jianying Hu, Fei Wang:
Analysis of Care Pathway Variation Patterns in Patient Records. MIE 2015: 692-696 - [c106]Ziqi Liu, Fei Wang, Qinghua Zheng:
Modeling Users' Adoption Behaviors with Social Selection and Influence. SDM 2015: 253-261 - [e1]Prabhakaran Balakrishnan, Jaideep Srivatsava, Wai-Tat Fu, Sanda M. Harabagiu, Fei Wang:
2015 International Conference on Healthcare Informatics, ICHI 2015, Dallas, TX, USA, October 21-23, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-9548-9 [contents] - [i1]Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang:
From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics. CoRR abs/1505.07193 (2015) - 2014
- [j38]David Gotz, Fei Wang, Adam Perer:
A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data. J. Biomed. Informatics 48: 148-159 (2014) - [j37]Fei Wang, Ping Zhang, Nan Cao, Jianying Hu, Robert Sorrentino:
Exploring the associations between drug side-effects and therapeutic indications. J. Biomed. Informatics 51: 15-23 (2014) - [j36]Mingxuan Yuan, Ke Deng, Jia Zeng, Yanhua Li, Bing Ni, Xiuqiang He, Fei Wang, Wenyuan Dai, Qiang Yang:
OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data. Proc. VLDB Endow. 7(13): 1561-1564 (2014) - [j35]Meng Jiang, Peng Cui, Fei Wang, Wenwu Zhu, Shiqiang Yang:
Scalable Recommendation with Social Contextual Information. IEEE Trans. Knowl. Data Eng. 26(11): 2789-2802 (2014) - [c105]Fei Wang, Ping Zhang, Xiang Wang, Jianying Hu:
Clinical Risk Prediction by Exploring High-Order Feature Correlations. AMIA 2014 - [c104]Gregor Stiglic, Fei Wang, Adam Davey, Zoran Obradovic:
Readmission Classification Using Stacked Regularized Logistic Regression Models. AMIA 2014 - [c103]Xiang Wang, Fei Wang, Jianying Hu, Robert Sorrentino:
Exploring Joint Disease Risk Prediction. AMIA 2014 - [c102]Ping Zhang, Fei Wang, Jianying Hu:
Towards Drug Repositioning: A Unified Computational Framework for Integrating Multiple Aspects of Drug Similarity and Disease Similarity. AMIA 2014 - [c101]Xiang Wang, Fei Wang, Jianying Hu:
A Multi-task Learning Framework for Joint Disease Risk Prediction and Comorbidity Discovery. ICPR 2014: 220-225 - [c100]Fei Wang, Jiayu Zhou, Jianying Hu:
DensityTransfer: A Data Driven Approach for Imputing Electronic Health Records. ICPR 2014: 2763-2768 - [c99]Jian Zhao, Liang Gou, Fei Wang, Michelle X. Zhou:
PEARL: An interactive visual analytic tool for understanding personal emotion style derived from social media. IEEE VAST 2014: 203-212 - [c98]Lin Luo, Fei Wang, Michelle X. Zhou, Yingxin Pan, Hang Chen:
Who have got answers?: growing the pool of answerers in a smart enterprise social QA system. IUI 2014: 7-16 - [c97]Adam Perer, Fei Wang:
Frequence: interactive mining and visualization of temporal frequent event sequences. IUI 2014: 153-162 - [c96]Xiang Wang, David A. Sontag, Fei Wang:
Unsupervised learning of disease progression models. KDD 2014: 85-94 - [c95]Jiayu Zhou, Fei Wang, Jianying Hu, Jieping Ye:
From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records. KDD 2014: 135-144 - [c94]Fei Wang, Ping Zhang, Buyue Qian, Xiang Wang, Ian Davidson:
Clinical risk prediction with multilinear sparse logistic regression. KDD 2014: 145-154 - [c93]Ting Wang, Dashun Wang, Fei Wang:
Quantifying herding effects in crowd wisdom. KDD 2014: 1087-1096 - [c92]Meng Jiang, Peng Cui, Fei Wang, Xinran Xu, Wenwu Zhu, Shiqiang Yang:
FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery. KDD 2014: 1186-1195 - [c91]Yiqin Yu, Haifeng Liu, Jing Li, Xiang Li, Jing Mei, Guotong Xie, Adam Perer, Fei Wang, Jianying Hu:
Care Pathway Workbench: Evidence Harmonization from Guideline and Data. MIE 2014: 23-27 - [c90]Ziqi Liu, Qinghua Zheng, Fei Wang, Zhenhua Tian, Bo Li:
A Dynamic Nonparametric Model for Characterizing the Topical Communities in Social Streams. SDM 2014: 379-387 - [c89]Xiang Wang, Jun Wang, Buyue Qian, Fei Wang, Ian Davidson:
Self-Taught Spectral Clustering via Constraint Augmentation. SDM 2014: 416-424 - [c88]Ting Wang, Fei Wang, Reiner Sailer, Douglas Lee Schales:
Kaleido: Network Traffic Attribution using Multifaceted Footprinting. SDM 2014: 695-703 - [c87]Peng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez:
1st workshop on diffusion networks and cascade analytics. WSDM 2014: 689-690 - [r1]Fei Wang:
Social Networks in Healthcare, Case Study. Encyclopedia of Social Network Analysis and Mining 2014: 1914-1918 - 2013
- [j34]Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi, Andrew F. Laine:
A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 272-285 (2013) - [c86]Ping Zhang, Fei Wang, Jianying Hu, Robert Sorrentino:
Exploring the Relationship Between Drug Side-Effects and Therapeutic Indications. AMIA 2013 - [c85]Geetika T. Lakshmanan, Szabolcs Rozsnyai, Fei Wang:
Investigating Clinical Care Pathways Correlated with Outcomes. BPM 2013: 323-338 - [c84]Aditya Pal, Fei Wang, Michelle X. Zhou, Jeffrey Nichols, Barton A. Smith:
Question routing to user communities. CIKM 2013: 2357-2362 - [c83]Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, Duen Horng (Polo) Chau:
Demonstrating Interactive Multi-resolution Large Graph Exploration. ICDM Workshops 2013: 1097-1100 - [c82]Xiang Wang, Fei Wang, Jun Wang, Buyue Qian, Jianying Hu:
Exploring Patient Risk Groups with Incomplete Knowledge. ICDM 2013: 1223-1228 - [c81]Michelle X. Zhou, Fei Wang, Thomas Zimmerman, Huahai Yang, Eben M. Haber, Liang Gou:
Computational discovery of personal traits from social multimedia. ICME Workshops 2013: 1-6 - [c80]Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye, Ian Davidson:
Active Learning from Relative Queries. IJCAI 2013: 1614-1620 - [c79]Shimei Pan, Michelle X. Zhou, Yangqiu Song, Weihong Qian, Fei Wang, Shixia Liu:
Optimizing temporal topic segmentation for intelligent text visualization. IUI 2013: 339-350 - [c78]Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang:
Comparing apples to oranges: a scalable solution with heterogeneous hashing. KDD 2013: 230-238 - [c77]Peng Cui, Shifei Jin, Linyun Yu, Fei Wang, Wenwu Zhu, Shiqiang Yang:
Cascading outbreak prediction in networks: a data-driven approach. KDD 2013: 901-909 - [c76]Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye:
FeaFiner: biomarker identification from medical data through feature generalization and selection. KDD 2013: 1034-1042 - 2012
- [j33]Fei Wang, Hanghang Tong, Philip S. Yu, Charu C. Aggarwal:
Guest editorial: special issue on data mining technologies for computational social science. Data Min. Knowl. Discov. 25(3): 415-419 (2012) - [j32]Marianthi Markatou, Prabani Kuruppumullage Don, Jianying Hu, Fei Wang, Jimeng Sun, Robert Sorrentino, Shahram Ebadollahi:
Case-based reasoning in comparative effectiveness research. IBM J. Res. Dev. 56(5): 4 (2012) - [j31]Fei Wang, Peng Cui, Gordon Sun, Tat-Seng Chua, Shiqiang Yang:
Guest editorial: Special issue on information retrieval for social media. Inf. Retr. 15(3-4): 179-182 (2012) - [j30]Fei Wang, Ping Li, Arnd Christian König, Muting Wan:
Improving clustering by learning a bi-stochastic data similarity matrix. Knowl. Inf. Syst. 32(2): 351-382 (2012) - [j29]Fanhua Shang, Licheng Jiao, Jiarong Shi, Fei Wang, Maoguo Gong:
Fast affinity propagation clustering: A multilevel approach. Pattern Recognit. 45(1): 474-486 (2012) - [j28]Fanhua Shang, Licheng Jiao, Fei Wang:
Graph dual regularization non-negative matrix factorization for co-clustering. Pattern Recognit. 45(6): 2237-2250 (2012) - [j27]Licheng Jiao, Fanhua Shang, Fei Wang, Yuanyuan Liu:
Fast semi-supervised clustering with enhanced spectral embedding. Pattern Recognit. 45(12): 4358-4369 (2012) - [j26]Fei Wang, Jimeng Sun, Shahram Ebadollahi:
Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment. Stat. Anal. Data Min. 5(1): 54-69 (2012) - [j25]Jimeng Sun, Fei Wang, Jianying Hu, Shahram Ebadollahi:
Supervised patient similarity measure of heterogeneous patient records. SIGKDD Explor. 14(1): 16-24 (2012) - [j24]Peng Cui, Fei Wang, Lifeng Sun, Jianwei Zhang, Shi-Qiang Yang:
A Matrix-Based Approach to Unsupervised Human Action Categorization. IEEE Trans. Multim. 14(1): 102-110 (2012) - [j23]Gang Wang, Fei Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky:
Solution Path for Manifold Regularized Semisupervised Classification. IEEE Trans. Syst. Man Cybern. Part B 42(2): 308-319 (2012) - [c75]David Gotz, Harry Stavropoulos, Jimeng Sun, Fei Wang:
ICDA: A Platform for Intelligent Care Delivery Analytics. AMIA 2012 - [c74]Jianying Hu, Fei Wang, Jimeng Sun, Robert Sorrentino, Shahram Ebadollahi:
A Healthcare Utilization Analysis Framework for Hot Spotting and Contextual Anomaly Detection. AMIA 2012 - [c73]Jimeng Sun, Jianying Hu, Dijun Luo, Marianthi Markatou, Fei Wang, Shahram Ebadollahi, Zahra Daar, Walter F. Stewart:
Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records. AMIA 2012 - [c72]Meng Jiang, Peng Cui, Rui Liu, Qiang Yang, Fei Wang, Wenwu Zhu, Shiqiang Yang:
Social contextual recommendation. CIKM 2012: 45-54 - [c71]Meng Jiang, Peng Cui, Fei Wang, Qiang Yang, Wenwu Zhu, Shiqiang Yang:
Social recommendation across multiple relational domains. CIKM 2012: 1422-1431 - [c70]Fanhua Shang, Licheng Jiao, Yuanyuan Liu, Fei Wang:
Learning spectral embedding via iterative eigenvalue thresholding. CIKM 2012: 1507-1511 - [c69]Haibing Lu, Yuan Hong, W. Nick Street, Fei Wang, Hanghang Tong:
Overlapping Clustering with Sparseness Constraints. ICDM Workshops 2012: 486-494 - [c68]Fei Wang, Jianying Hu, Jimeng Sun:
Medical prognosis based on patient similarity and expert feedback. ICPR 2012: 1799-1802 - [c67]Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi:
Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach. KDD 2012: 453-461 - [c66]Fanhua Shang, Licheng Jiao, Fei Wang:
Semi-supervised learning with mixed knowledge information. KDD 2012: 732-740 - [c65]Dijun Luo, Fei Wang, Jimeng Sun, Marianthi Markatou, Jianying Hu, Shahram Ebadollahi:
SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications. SDM 2012: 576-587 - 2011
- [j22]Tao Li, Chris H. Q. Ding, Fei Wang:
Guest editorial: special issue on data mining with matrices, graphs and tensors. Data Min. Knowl. Discov. 22(3): 337-339 (2011) - [j21]Fei Wang, Tao Li, Xin Wang, Shenghuo Zhu, Chris H. Q. Ding:
Community discovery using nonnegative matrix factorization. Data Min. Knowl. Discov. 22(3): 493-521 (2011) - [j20]Shouchun Chen, Fei Wang, Yangqiu Song, Changshui Zhang:
Semi-supervised ranking aggregation. Inf. Process. Manag. 47(3): 415-425 (2011) - [j19]Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu:
Semisupervised Learning Using Negative Labels. IEEE Trans. Neural Networks 22(3): 420-432 (2011) - [j18]Dan Zhang, Fei Wang, Luo Si, Tao Li:
Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering. IEEE Trans. Neural Networks 22(5): 739-751 (2011) - [j17]Fei Wang, Bin Zhao, Changshui Zhang:
Unsupervised Large Margin Discriminative Projection. IEEE Trans. Neural Networks 22(9): 1446-1456 (2011) - [c64]Peng Cui, Fei Wang, Shiqiang Yang, Lifeng Sun:
Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization. AAAI 2011: 331-336 - [c63]Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi:
Automatic Group Sparse Coding. AAAI 2011: 495-500 - [c62]Fei Wang, Hanghang Tong, Ching-Yung Lin:
Towards Evolutionary Nonnegative Matrix Factorization. AAAI 2011: 501-506 - [c61]Noah Lee, Andrew F. Laine, Jianying Hu, Fei Wang, Jimeng Sun, Shahram Ebadollahi:
Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients. HISB 2011: 250-257 - [c60]Fanhua Shang, Yuanyuan Liu, Fei Wang:
Learning Spectral Embedding for Semi-supervised Clustering. ICDM 2011: 597-606 - [c59]Naeem Ramzan, Fei Wang, Charalampos Z. Patrikakis, Peng Cui, Nikolaos D. Doulamis, Shiqiang Yang, Gordon Sun:
ACM international workshop on social and behavioral networked media access (SBNMA'11). ACM Multimedia 2011: 611-612 - [c58]Fei Wang, Jimeng Sun, Shahram Ebadollahi:
Integrating Distance Metrics Learned from Multiple Experts and its Application in Inter-Patient Similarity Assessment. SDM 2011: 59-70 - [c57]Fei Wang, Ping Li, Arnd Christian König:
Efficient Document Clustering via Online Nonnegative Matrix Factorizations. SDM 2011: 908-919 - [c56]Fei Wang, Jimeng Sun, Jianying Hu, Shahram Ebadollahi:
iMet: Interactive Metric Learning in Healthcare Applications. SDM 2011: 944-955 - [c55]Peng Cui, Fei Wang, Shaowei Liu, Mingdong Ou, Shiqiang Yang, Lifeng Sun:
Who should share what?: item-level social influence prediction for users and posts ranking. SIGIR 2011: 185-194 - [c54]Dan Zhang, Fei Wang, Luo Si:
Composite hashing with multiple information sources. SIGIR 2011: 225-234 - 2010
- [j16]Dan Zhang, Fei Wang, Zhenwei Shi, Changshui Zhang:
Interactive localized content based image retrieval with multiple-instance active learning. Pattern Recognit. 43(2): 478-484 (2010) - [j15]Changshui Zhang, Fei Wang:
A multilevel approach for learning from labeled and unlabeled data on graphs. Pattern Recognit. 43(6): 2301-2314 (2010) - [j14]Fei Wang, Bin Zhao, Changshui Zhang:
Linear time maximum margin clustering. IEEE Trans. Neural Networks 21(2): 319-332 (2010) - [c53]Jiawei Lv, Jianwen Zhang, Fei Wang, Zheng Wang, Changshui Zhang:
Compressed Learning with Regular Concept. ALT 2010: 163-178 - [c52]Fei Wang, Ping Li, Arnd Christian König:
Learning a Bi-Stochastic Data Similarity Matrix. ICDM 2010: 551-560 - [c51]Fei Wang, Ping Li:
Compressed Nonnegative Sparse Coding. ICDM 2010: 1103-1108 - [c50]Fei Wang, Ping Li:
Efficient Nonnegative Matrix Factorization with Random Projections. SDM 2010: 281-292
2000 – 2009
- 2009
- [j13]Changshui Zhang, Fei Wang:
Graph-based semi-supervised learning. Artif. Life Robotics 14(4): 445-448 (2009) - [j12]Fei Wang, Xin Wang:
Neighborhood discriminant tensor mapping. Neurocomputing 72(7-9): 2035-2039 (2009) - [j11]Gang Chen, Fei Wang, Changshui Zhang:
Collaborative filtering using orthogonal nonnegative matrix tri-factorization. Inf. Process. Manag. 45(3): 368-379 (2009) - [j10]Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang, Shiming Xiang, Dan Zhang:
Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images. Pattern Anal. Appl. 12(2): 99-115 (2009) - [j9]Jingdong Wang, Fei Wang, Changshui Zhang, Helen C. Shen, Long Quan:
Linear Neighborhood Propagation and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1600-1615 (2009) - [j8]Fei Wang, Xin Wang, Daoqiang Zhang, Changshui Zhang, Tao Li:
marginFace: A novel face recognition method by average neighborhood margin maximization. Pattern Recognit. 42(11): 2863-2875 (2009) - [j7]Fei Wang, Changshui Zhang, Tao Li:
Clustering with Local and Global Regularization. IEEE Trans. Knowl. Data Eng. 21(12): 1665-1678 (2009) - [j6]Peng Cui, Lifeng Sun, Fei Wang, Shiqiang Yang:
Contextual Mixture Tracking. IEEE Trans. Multim. 11(2): 333-341 (2009) - [j5]Bin Zhao, Fei Wang, Changshui Zhang:
Block-Quantized Support Vector Ordinal Regression. IEEE Trans. Neural Networks 20(5): 882-890 (2009) - [c49]Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui Zhang:
Unsupervised Maximum Margin Feature Selection with manifold regularization. CVPR 2009: 888-895 - [c48]Gang Chen, Jianwen Zhang, Fei Wang, Changshui Zhang, Yuli Gao:
Efficient multi-label classification with hypergraph regularization. CVPR 2009: 1658-1665 - [c47]Fei Wang, Xin Wang, Tao Li:
Beyond the graphs: Semi-parametric semi-supervised discriminant analysis. CVPR 2009: 2113-2120 - [c46]Fei Wang, Tao Li:
Knowledge Transformation by Cross-Domain Belief Propagation. ICDM Workshops 2009: 441-446 - [c45]Fei Wang, Xin Wang, Tao Li:
Semi-supervised Multi-task Learning with Task Regularizations. ICDM 2009: 562-568 - [c44]Fei Wang, Jimeng Sun, Tao Li, Nikos Anerousis:
Two Heads Better Than One: Metric+Active Learning and its Applications for IT Service Classification. ICDM 2009: 1022-1027 - [c43]Fei Wang, Xin Wang, Tao Li:
Maximum Margin Clustering on Data Manifolds. ICDM 2009: 1028-1033 - [c42]Fei Wang, Xin Wang, Tao Li:
Generalized Cluster Aggregation. IJCAI 2009: 1279-1284 - [c41]Fei Wang, Bin Zhang, Ta-Hsin Li, Wen Jun Yin, Jin Dong, Tao Li:
Preference Learning with Extreme Examples. IJCAI 2009: 1285-1290 - [c40]Dan Zhang, Fei Wang, Luo Si, Tao Li:
M3IC: Maximum Margin Multiple Instance Clustering. IJCAI 2009: 1339-1344 - [c39]Fei Wang, Xin Wang, Bo Shao, Tao Li, Mitsunori Ogihara:
Tag Integrated Multi-Label Music Style Classification with Hypergraph. ISMIR 2009: 363-368 - [c38]Fei Wang, Chris H. Q. Ding, Tao Li:
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations. SDM 2009: 38-48 - 2008
- [j4]Fei Wang, Changshui Zhang:
Label Propagation through Linear Neighborhoods. IEEE Trans. Knowl. Data Eng. 20(1): 55-67 (2008) - [j3]Fei Wang, Changshui Zhang:
Semisupervised Learning Based on Generalized Point Charge Models. IEEE Trans. Neural Networks 19(7): 1307-1311 (2008) - [c37]Fei Wang, Changshui Zhang:
On Discriminative Semi-Supervised Classification. AAAI 2008: 720-725 - [c36]Fei Wang, Tao Li, Gang Wang, Changshui Zhang:
Semi-supervised Classification Using Local and Global Regularization. AAAI 2008: 726-731 - [c35]Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin Dong:
Classification by Discriminative Regularization. AAAI 2008: 746-751 - [c34]Dan Zhang, Fei Wang, Changshui Zhang, Tao Li:
Multi-View Local Learning. AAAI 2008: 752-757 - [c33]Shouchun Chen, Fei Wang, Yangqiu Song, Changshui Zhang:
Semi-supervised ranking aggregation. CIKM 2008: 1427-1428 - [c32]Fei Wang, Shouchun Chen, Changshui Zhang, Tao Li:
Semi-supervised metric learning by maximizing constraint margin. CIKM 2008: 1457-1458 - [c31]Bin Zhao, Fei Wang, Changshui Zhang, Yangqiu Song:
Active model selection for Graph-Based Semi-Supervised Learning. ICASSP 2008: 1881-1884 - [c30]Peng Cui, Fei Wang, Lifeng Sun, Shi-Qiang Yang:
A Joint Matrix Factorization Approach to Unsupervised Action Categorization. ICDM 2008: 767-772 - [c29]Bin Zhao, Fei Wang, Changshui Zhang:
Maximum Margin Embedding. ICDM 2008: 1127-1132 - [c28]Dan Zhang, Fei Wang, Zhenwei Shi, Changshui Zhang:
Localized content based image retrieval by multiple instance active learning. ICIP 2008: 921-924 - [c27]Bin Zhao, Fei Wang, Changshui Zhang:
Efficient multiclass maximum margin clustering. ICML 2008: 1248-1255 - [c26]Bin Zhao, Fei Wang, Changshui Zhang:
Cuts3vm: a fast semi-supervised svm algorithm. KDD 2008: 830-838 - [c25]Fei Wang, Tao Li, Changshui Zhang:
Semi-Supervised Clustering via Matrix Factorization. SDM 2008: 1-12 - [c24]Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhang:
Semi-Supervised Classification with Universum. SDM 2008: 323-333 - [c23]Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang:
Semi-supervised Multi-label Learning by Solving a Sylvester Equation. SDM 2008: 410-419 - [c22]Bin Zhao, Fei Wang, Changshui Zhang:
Efficient Maximum Margin Clustering via Cutting Plane Algorithm. SDM 2008: 751-762 - 2007
- [j2]Fei Wang, Changshui Zhang:
Robust self-tuning semi-supervised learning. Neurocomputing 70(16-18): 2931-2939 (2007) - [j1]Fei Wang, Jingdong Wang, Changshui Zhang, James T. Kwok:
Face recognition using spectral features. Pattern Recognit. 40(10): 2786-2797 (2007) - [c21]Fei Wang, Changshui Zhang, Tao Li:
Clustering with Local and Global Regularization. AAAI 2007: 657-662 - [c20]Fei Wang, Tao Li:
Gene Selection via Matrix Factorization. BIBE 2007: 1046-1050 - [c19]Fei Wang, Changshui Zhang:
Feature Extraction by Maximizing the Average Neighborhood Margin. CVPR 2007 - [c18]Liang Xiong, Fei Wang, Changshui Zhang:
Semi-definite Manifold Alignment. ECML 2007: 773-781 - [c17]Bin Zhao, Fei Wang, Changshui Zhang:
Smoothness Maximization via Gradient Descents. ICASSP (2) 2007: 609-612 - [c16]Gang Chen, Fei Wang, Changshui Zhang:
Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization. ICDM Workshops 2007: 303-308 - [c15]Liang Xiong, Fei Wang, Changshui Zhang:
Multilevel Belief Propagation for Fast Inference on Markov Random Fields. ICDM 2007: 371-380 - [c14]Shouchun Chen, Fei Wang, Changshui Zhang:
Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships. ICDM Workshops 2007: 387-392 - [c13]Fei Wang, Xin Wang, Tao Li:
Efficient label propagation for interactive image segmentation. ICMLA 2007: 136-141 - [c12]Xiaofeng Tong, Tao Wang, Wenlong Li, Yimin Zhang, Bo Yang, Fei Wang, Lifeng Sun, Shiqiang Yang:
A Three-Level Scheme for Real-Time Ball Tracking. MCAM 2007: 161-171 - [c11]Fei Wang, Changshui Zhang:
Fast Multilevel Transduction on Graphs. SDM 2007: 157-168 - [c10]Fei Wang, Changshui Zhang, Tao Li:
Regularized clustering for documents. SIGIR 2007: 95-102 - [c9]Fei Wang, Shijun Wang, Changshui Zhang, Ole Winther:
Semi-Supervised Mean Fields. AISTATS 2007: 596-603 - 2006
- [c8]Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang:
A Discriminative Method For Semi-Automated Tumorous Tissues Segmentation of MR Brain Images. CVPR Workshops 2006: 79 - [c7]Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong Wang:
Semi-Supervised Classification Using Linear Neighborhood Propagation. CVPR (1) 2006: 160-167 - [c6]Fei Wang, Sheng Ma, Liuzhong Yang, Tao Li:
Recommendation on Item Graphs. ICDM 2006: 1119-1123 - [c5]Fei Wang, Changshui Zhang:
Label propagation through linear neighborhoods. ICML 2006: 985-992 - [c4]Fei Wang, Lifeng Sun, Bo Yang, Shiqiang Yang:
Fast Arc Detection Algorithm for Play Field Registration in Soccer Video Mining. SMC 2006: 4932-4936 - [c3]Bo Yang, Lifeng Sun, Fei Wang, Peng Wang, Shi-Qiang Yang:
Mid-Level Descriptors Extraction of Soccer Video with Domain Knowledge. SMC 2006: 4937-4941 - 2005
- [c2]Fei Wang, Changshui Zhang:
Spectral Clustering for Time Series. ICAPR (1) 2005: 345-354 - [c1]Fei Wang, Changshui Zhang, Naijiang Lu:
Boosting GMM and Its Two Applications. Multiple Classifier Systems 2005: 12-21
Coauthor Index
Shiqiang Yang
aka: Shi-Qiang Yang
aka: Shi-Qiang Yang
[c242] [j108] [i57] [j99] [c226] [c206] [c204] [c200] [i46] [i45] [i44] [i43] [i35] [i27] [j70] [j65] [i9] [c126] [c125] [j41] [j20] [j19] [j17] [j16] [j15] [j14] [c53] [j13] [j11] [j10] [j9] [j8] [j7] [j5] [c49] [c48] [j4] [j3] [c37] [c36] [c34] [c33] [c32] [c31] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [j2] [j1] [c21] [c19] [c18] [c17] [c16] [c15] [c14] [c11] [c10] [c9] [c8] [c7] [c5] [c2] [c1]
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