Fei Wang - RankMe

469 papers A* 118A 35B 12C 2Misc 39Journal 216Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection. KDD (1) Chunyu Wei, Siyuan He, Yu Wang, Yueguo Chen, Yunhai Wang, Bing Bai, Yidong Zhang, Yong Xie, Shunming Zhang, Fei Wang
2026	J	`jnl`	Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection. CoRR Chunyu Wei, Siyuan He, Yu Wang, Yueguo Chen, Yunhai Wang, Bing Bai, Yidong Zhang, Yong Xie, Shunming Zhang, Fei Wang
2026	J	`jnl`	Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation. CoRR Wenxin Chen, Weishen Pan, Kyra Gan, Fei Wang
2026	J	`jnl`	TrialCompass: Visual Analytics for Enhancing the Eligibility Criteria Design of Clinical Trials. IEEE Trans. Vis. Comput. Graph. Rui Sheng, Xingbo Wang, Jiachen Wang, Xiaofu Jin, Zhonghua Sheng, Zhenxing Xu, Suraj Rajendran, Huamin Qu, Fei Wang
2026	J	`jnl`	Using transfer learning to improve prediction of suicide risk in acute care hospitals. J. Am. Medical Informatics Assoc. Shane Sacco, Kun Chen, Fei Wang, Steven Rogers, Robert H. Aseltine
2025	J	`jnl`	A scoping review and evidence gap analysis of clinical AI fairness. npj Digit. Medicine Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jingchi Liao, 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
2025	J	`jnl`	COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data. npj Digit. Medicine Qiong Wu, Jenna Marie Reps, Lu Li, Bingyu Zhang, Yiwen Lu, Jiayi Tong, Dazheng Zhang, Thomas Lumley, Milou T. Brand, Mui Van Zandt, Thomas Falconer, Xing He, Yu Huang, Haoyang Li, Chao Yan, Guojun Tang, Andrew E. Williams, Fei Wang, Jiang Bian, Bradley A. Malin, George Hripcsak, Martijn J. Schuemie, Yun Lu, Steve Drew, Jiayu Zhou, David A. Asch, Yong Chen
2025	A*	`conf`	Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep Health. CHI Xingbo Wang, Janessa Griffith, Daniel A. Adler, Joey Castillo, Tanzeem Choudhury, Fei Wang
2025	J	`jnl`	Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep Health. CoRR Xingbo Wang, Janessa Griffith, Daniel A. Adler, Joey Castillo, Tanzeem Choudhury, Fei Wang
2025	J	`jnl`	Extracting Post-Acute Sequelae of SARS-CoV-2 Infection Symptoms from Clinical Notes via Hybrid Natural Language Processing. CoRR Zilong Bai, Zihan Xu, Cong Sun, Chengxi Zang, H. Timothy Bunnell, Catherine Sinfield, Jacqueline R. M. A. Maasch, Aaron Thomas Martinez, L. Charles Bailey, Mark G. Weiner, Thomas R. Campion Jr., Thomas Carton, Christopher B. Forrest, Rainu Kaushal, Fei Wang, Yifan Peng
2025	J	`jnl`	Federated Causal Inference in Healthcare: Methods, Challenges, and Applications. CoRR Haoyang Li, Jie Xu, Kyra Gan, Fei Wang, Chengxi Zang
2025	J	`jnl`	Federated target trial emulation using distributed observational data for treatment effect estimation. npj Digit. Medicine Haoyang Li, Chengxi Zang, Zhenxing Xu, Weishen Pan, Suraj Rajendran, Yong Chen, Fei Wang
2025	—	`conf`	Graph Evidential Learning for Anomaly Detection. KDD (2) Chunyu Wei, Wenji Hu, Xingjia Hao, Yunhai Wang, Yueguo Chen, Bing Bai, Fei Wang
2025	J	`jnl`	Graph Evidential Learning for Anomaly Detection. CoRR Chunyu Wei, Wenji Hu, Xingjia Hao, Yunhai Wang, Yueguo Chen, Bing Bai, Fei Wang
2025	J	`jnl`	Identifying progression subphenotypes of Alzheimer's disease from large-scale electronic health records with machine learning. J. Biomed. Informatics Manqi Zhou, Alice S. Tang, Hao Zhang, Zhenxing Xu, Alison M. C. Ke, Chang Su, Yu Huang, William G. Mantyh, Michael Jaffee, Katherine P. Rankin, Steven DeKosky, Jiayu Zhou, Yi Guo, Jiang Bian, Marina Sirota, Fei Wang
2025	A*	`conf`	Local Causal Discovery for Structural Evidence of Direct Discrimination. AAAI Jacqueline R. M. A. Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang
2025	J	`jnl`	MOSIC: Model-Agnostic Optimal Subgroup Identification with Multi-Constraint for Improved Reliability. CoRR Wenxin Chen, Weishen Pan, Kyra Gan, Fei Wang
2025	J	`jnl`	Manifoldron: Direct Space Partition via Manifold Discovery. IEEE Trans. Neural Networks Learn. Syst. Dayang Wang, Feng-Lei Fan, Bojian Hou, Hao Zhang, Zhen Jia, Boce Zhang, Rongjie Lai, Hengyong Yu, Fei Wang
2025	J	`jnl`	On Expressivity and Trainability of Quadratic Networks. IEEE Trans. Neural Networks Learn. Syst. Feng-Lei Fan, Mengzhou Li, Fei Wang, Rongjie Lai, Ge Wang
2025	J	`jnl`	Predicting response to neoadjuvant chemotherapy in muscle-invasive bladder cancer via interpretable multimodal deep learning. npj Digit. Medicine Zilong Bai, Mohamed Osman, Matthew Brendel, Catherine M. Tangen, Thomas W. Flaig, Ian M. Thompson, Melissa Plets, M. Scott Lucia, Dan Theodorescu, Daniel Gustafson, Siamak Daneshmand, Joshua J. Meeks, Woonyoung Choi, Colin P. N. Dinney, Olivier Elemento, Seth P. Lerner, David J. McConkey, Bishoy M. Faltas, Fei Wang
2025	—	`conf`	Rethink Deep Learning with Invariance in Data Representation. WWW (Companion Volume) Shuren Qi, Fei Wang, Tieyong Zeng, Fenglei Fan
2025	J	`jnl`	Stability and stabilization of discrete-time time-varying systems with unbounded delays. J. Frankl. Inst. Yige Guo, Fei Wang, Yihan Guo, Xiang Xu
2025	J	`jnl`	TrialCompass: Visual Analytics for Enhancing the Eligibility Criteria Design of Clinical Trials. CoRR Rui Sheng, Xingbo Wang, Jiachen Wang, Xiaofu Jin, Zhonghua Sheng, Zhenxing Xu, Suraj Rajendran, Huamin Qu, Fei Wang
2025	J	`jnl`	Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm. npj Digit. Medicine Jiayi Tong, Jenna Marie Reps, Chongliang Luo, Yiwen Lu, Lu Li, Juan Manuel Ramírez-Anguita, Milou T. Brand, Scott L. DuVall, Thomas Falconer, Alex Mayer Fuentes, Xing He, Michael E. Matheny, Miguel A. Mayer, Bhavnisha K. Patel, Katherine Simon, Marc A. Suchard, Guojun Tang, Benjamin Viernes, Ross D. Williams, Mui Van Zandt, Fei Wang, Jiang Bian, Jiayu Zhou, David A. Asch, Yong Chen
2024	J	`jnl`	A scoping review of fair machine learning techniques when using real-world data. J. Biomed. Informatics Yu Huang, Jingchuan Guo, Wei-Han William Chen, Hsin-Yueh Lin, Huilin Tang, Fei Wang, Hua Xu, Jiang Bian
2024	J	`jnl`	An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals. Patterns Weishen Pan, Zhenxing Xu, Suraj Rajendran, Fei Wang
2024	A*	`conf`	Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare. KDD Shenda Hong, Daoxin Yin, Gongzheng Tang, Tianfan Fu, Liantao Ma, Junyi Gao, Mengling Feng, Mai Wang, Yu Yang, Fei Wang, Hongfang Liu, Luxia Zhang
2024	J	`jnl`	Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine 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
2024	J	`jnl`	Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Daniel A. Adler, Yuewen Yang, Thalia Viranda, Xuhai Xu, David C. Mohr, Anna R. Van Meter, Julia C. Tartaglia, Nicholas C. Jacobson, Fei Wang, Deborah Estrin, Tanzeem Choudhury
2024	A*	`conf`	CLAP: Collaborative Adaptation for Patchwork Learning. ICLR Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang
2024	—	`conf`	Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph. ACL (Findings) Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong
2024	J	`jnl`	Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging. IEEE Trans. Neural Networks Learn. Syst. Tianming Liu, Dajiang Zhu, Fei Wang, Islem Rekik, Xia Ben Hu, Dinggang Shen
2024	J	`jnl`	Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. CoRR 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
2024	J	`jnl`	Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine 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
2024	J	`jnl`	Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. npj Digit. Medicine 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
2024	J	`jnl`	Improved YOLOv7 model for underwater sonar image object detection. J. Vis. Commun. Image Represent. Ken Sinkou Qin, Di Liu, Fei Wang, Jingchun Zhou, Jiaxuan Yang, Weishi Zhang
2024	J	`jnl`	Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning. CoRR Mingquan Lin, Tianhao Li, Zhaoyi Sun, Gregory Holste, Ying Ding, Fei Wang, George Shih, Yifan Peng
2024	J	`jnl`	Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation. Patterns Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang
2024	J	`jnl`	Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. J. Biomed. Informatics 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
2024	J	`jnl`	Local Causal Discovery for Structural Evidence of Direct Discrimination. CoRR Jacqueline R. M. A. Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang
2024	A	`conf`	Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs. UAI Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang
2024	J	`jnl`	Neural Network Gaussian Processes by Increasing Depth. IEEE Trans. Neural Networks Learn. Syst. Shao-Qun Zhang, Fei Wang, Feng-Lei Fan
2024	J	`jnl`	Rethink Deep Learning with Invariance in Data Representation. CoRR Shuren Qi, Fei Wang, Tieyong Zeng, Fenglei Fan
2024	J	`jnl`	SciDaSynth: Interactive Structured Knowledge Extraction and Synthesis from Scientific Literature with Large Language Model. CoRR Xingbo Wang, Samantha L. Huey, Rui Sheng, Saurabh Mehta, Fei Wang
2024	J	`jnl`	Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR 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
2023	J	`jnl`	A scoping review on multimodal deep learning in biomedical images and texts. CoRR Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng
2023	J	`jnl`	A scoping review on multimodal deep learning in biomedical images and texts. J. Biomed. Informatics Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng
2023	J	`jnl`	A translational perspective towards clinical AI fairness. npj Digit. Medicine 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
2023	J	`jnl`	AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. J. Biomed. Informatics Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
2023	J	`jnl`	An empirical study of using radiology reports and images to improve ICU mortality prediction. CoRR Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng
2023	J	`jnl`	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 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
2023	J	`jnl`	Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment. IEEE Trans. Pattern Anal. Mach. Intell. Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang
2023	J	`jnl`	Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment. CoRR Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang
2023	—	`conf`	Can Data Augmentation Improve Daily Mood Prediction from Wearable Data? An Empirical Study. UbiComp/ISWC Adjunct Neha Manjunath, Ze Yuan Li, Eunsol Soul Choi, Srijan Sen, Fei Wang, Daniel A. Adler
2023	J	`jnl`	Deep ReLU Networks Have Surprisingly Simple Polytopes. CoRR Feng-Lei Fan, Wei Huang, Xiangru Zhong, Lecheng Ruan, Tieyong Zeng, Huan Xiong, Fei Wang
2023	J	`jnl`	Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access. Comput. Biol. Medicine Mingquan Lin, Bo-Jian Hou, Swati Mishra, Tianyuan Yao, Yuankai Huo, Qian Yang, Fei Wang, George Shih, Yifan Peng
2023	J	`jnl`	Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations. CoRR Mingquan Lin, Yuyun Xiao, Bo-Jian Hou, Tingyi Wanyan, Mohit Manoj Sharma, Zhangyang Wang, Fei Wang, Sarah Van Tassel, Yifan Peng
2023	J	`jnl`	FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization. CoRR Qianqian Xie, Jiayu Zhou, Yifan Peng, Fei Wang
2023	A*	`conf`	Harnessing Biomedical Literature to Calibrate Clinicians' Trust in AI Decision Support Systems. CHI Qian Yang, Yuexing Hao, Kexin Quan, Stephen Yang, Yiran Zhao, Volodymyr Kuleshov, Fei Wang
2023	A*	`conf`	InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. ICML Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
2023	J	`jnl`	InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. CoRR Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
2023	J	`jnl`	Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. CoRR 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
2023	J	`jnl`	Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs. CoRR Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang
2023	A*	`conf`	Meta Graph Learning for Long-tail Recommendation. KDD Chunyu Wei, Jian Liang, Di Liu, Zehui Dai, Mang Li, Fei Wang
2023	A*	`conf`	Mining Electronic Health Records for Real-World Evidence. KDD Chengxi Zang, Weishen Pan, Fei Wang
2023	J	`jnl`	Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data. ACM Trans. Inf. Syst. Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li
2023	—	`conf`	Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction. ICHI Tingyi Wanyan, Mingquan Lin, Ying Ding, Benjamin S. Glicksberg, Fei Wang, Yifan Peng
2023	J	`jnl`	Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources. CoRR Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang
2023	—	`conf`	Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. CDPD Thuc Duy Le, Jiuyong Li, Robert Osazuwa Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
2023	J	`jnl`	Retyping of triple-negative breast cancer based on clustering method. Expert Syst. J. Knowl. Eng. Bo Liu, Xingrui Li, Huina Wang, Shuangtao Zhao, Jianqiang Li, Guangzhi Qu, Fei Wang
2023	—	`ed.`	The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA CDPD Thuc Duy Le, Jiuyong Li, Robert Osazuwa Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
2023	J	`jnl`	Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks. CoRR Feng-Lei Fan, Yingxin Li, Hanchuan Peng, Tieyong Zeng, Fei Wang
2023	J	`jnl`	Towards clinical AI fairness: A translational perspective. CoRR 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
2023	A*	`conf`	Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. KDD Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
2022	J	`jnl`	A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis. CoRR Qiyuan An, Ruijiang Li, Lin Gu, Hao Zhang, Qingyu Chen, Zhiyong Lu, Fei Wang, Yingying Zhu
2022	J	`jnl`	A(DP) IEEE Trans. Pattern Anal. Mach. Intell. Jie Xu, Wei Zhang, Fei Wang
2022	J	`jnl`	AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. CoRR Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
2022	J	`jnl`	Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review. CoRR Matthew Brendel, Chang Su, Zilong Bai, Hao Zhang, Olivier Elemento, Fei Wang
2022	J	`jnl`	Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review. Genom. Proteom. Bioinform. Matthew Brendel, Chang Su, Zilong Bai, Hao Zhang, Olivier Elemento, Fei Wang
2022	J	`jnl`	Biomedical evidence engineering for data-driven discovery. Bioinform. Sendong Zhao, Aobo Wang, Bing Qin, Fei Wang
2022	J	`jnl`	CODER: Knowledge-infused cross-lingual medical term embedding for term normalization. J. Biomed. Informatics Zheng Yuan, Zhengyun Zhao, Haixia Sun, Jiao Li, Fei Wang, Sheng Yu
2022	J	`jnl`	CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising. CoRR Dayang Wang, Fenglei Fan, Zhan Wu, Rui Liu, Fei Wang, Hengyong Yu
2022	A*	`conf`	Collaboration Equilibrium in Federated Learning. KDD Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
2022	Misc	`conf`	Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping. AMIA Chang Su, Yu Hou, Jielin Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Yingying Zhu, Claire Henchcliffe, Feixiong Cheng, Fei Wang
2022	A*	`conf`	Contrastive Graph Structure Learning via Information Bottleneck for Recommendation. NeurIPS Chunyu Wei, Jian Liang, Di Liu, Fei Wang
2022	J	`jnl`	Design and validation of a FHIR-based EHR-driven phenotyping toolbox. J. Am. Medical Informatics Assoc. 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
2022	A*	`conf`	GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction. WWW Chunyu Wei, Bing Bai, Kun Bai, Fei Wang
2022	Misc	`conf`	Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials. AMIA Aokun Chen, Qian Li, Xing He, Michael Jaffee, William R. Hogan, Fei Wang, Yi Guo, Jiang Bian
2022	Misc	`conf`	Improving Cell Type Classification in Histology Images with Active Learning. AMIA Justin Xiang, Richard Bell, Matthew Brendel, Edward Schwarz, Fei Wang
2022	J	`jnl`	Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data. J. Am. Medical Informatics Assoc. Wanwan Xu, Chang Su, Yan Li, Steven Rogers, Fei Wang, Kun Chen, Robert H. Aseltine
2022	J	`jnl`	Manifoldron: Direct Space Partition via Manifold Discovery. CoRR Dayang Wang, Feng-Lei Fan, Bojian Hou, Hao Zhang, Rongjie Lai, Hengyong Yu, Fei Wang
2022	J	`jnl`	Model-Protected Multi-Task Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang
2022	—	`conf`	Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction. MLMI@MICCAI Mingquan Lin, Lei Liu, Mae Gorden, Michael Kass, Sarah Van Tassel, Fei Wang, Yifan Peng
2022	J	`jnl`	Multimodal Machine Learning in Precision Health. CoRR Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
2022	J	`jnl`	Multimodal machine learning in precision health: A scoping review. npj Digit. Medicine Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
2022	J	`jnl`	Novel informatics approaches to COVID-19 Research: From methods to applications. J. Biomed. Informatics Hua Xu, David L. Buckeridge, Fei Wang, Peter Tarczy-Hornoch
2022	—	`conf`	Patient Similarity Learning with Selective Forgetting. BIBM Wei Qian, Chenxu Zhao, Huajie Shao, Minghan Chen, Fei Wang, Mengdi Huai
2022	—	`conf`	Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning. MLMI@MICCAI Junghwan Lee, Tingyi Wanyan, Qingyu Chen, Tiarnan D. L. Keenan, Benjamin S. Glicksberg, Emily Y. Chew, Zhiyong Lu, Fei Wang, Yifan Peng
2022	J	`jnl`	Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Trans. Knowl. Data Eng. Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang
2022	—	`conf`	Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB 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
2022	J	`jnl`	Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data. CoRR Jianmin Chen, Robert H. Aseltine, Fei Wang, Kun Chen
2022	Misc	`conf`	Unraveling the "Other" Diagnosis of Suspected Suicide Attempts at Emergency Department using Natural Language Processing (NLP). AMIA Yunyu Xiao, Haotan Zhang, Yu Hou, Chang Su, Fei Wang
2022	A*	`conf`	Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. KDD Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
2021	Misc	`conf`	A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease. AMIA Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Guoqian Jiang, Fei Wang, Richard Isaacson, Jyotishman Pathak, Yuan Luo
2021	J	`jnl`	ALeRT-COVID: Attentive Lockdown-awaRe Transfer Learning for Predicting COVID-19 Pandemics in Different Countries. J. Heal. Informatics Res. Yingxue Li, Wenxiao Jia, Junmei Wang, Jianying Guo, Qin Liu, Xiang Li, Guotong Xie, Fei Wang
2021	A*	`conf`	Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang
2021	—	`conf`	An empirical study of using radiology reports and images to improve ICU-mortality prediction. ICHI Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng
2021	A*	`conf`	Artificial Intelligence for Drug Discovery. KDD Jian Tang, Fei Wang, Feixiong Cheng
2021	J	`jnl`	Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health. npj Digit. Medicine Chang Su, Yongkang Zhang, James H. Flory, Mark G. Weiner, Rainu Kaushal, Edward J. Schenck, Fei Wang
2021	J	`jnl`	Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. CoRR 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
2021	J	`jnl`	Contrastive learning improves critical event prediction in COVID-19 patients. Patterns 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
2021	J	`jnl`	Correcting the User Feedback-Loop Bias for Recommendation Systems. CoRR Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang
2021	Misc	`conf`	Deep Significance Clustering (DICE) a Heterogenous Population. AMIA 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
2021	J	`jnl`	Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review. J. Biomed. Informatics Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts
2021	J	`jnl`	Deep significance clustering: a novel approach for identifying risk-stratified and predictive patient subgroups. J. Am. Medical Informatics Assoc. 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
2021	A*	`conf`	Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning. KDD Zhuo Liu, Yanxuan Li, Xingzhi Sun, Fei Wang, Gang Hu, Guotong Xie
2021	A*	`conf`	Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. KDD Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang
2021	J	`jnl`	Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. CoRR Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang
2021	J	`jnl`	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 Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J. George, Mattia Prosperi, William R. Hogan, Zhe He, Elizabeth A. Shenkman, Fei Wang, Jiang Bian
2021	J	`jnl`	Expressivity and Trainability of Quadratic Networks. CoRR Fenglei Fan, Mengzhou Li, Fei Wang, Rongjie Lai, Ge Wang
2021	Misc	`conf`	FHIRTime: Standardizing Temporal Patterns Identified from Clinical Narratives Using HL7 FHIR. AMIA 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
2021	J	`jnl`	Fair and Consistent Federated Learning. CoRR Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang
2021	J	`jnl`	Federated Learning for Healthcare Informatics. J. Heal. Informatics Res. Jie Xu, Benjamin S. Glicksberg, Chang Su, Peter B. Walker, Jiang Bian, Fei Wang
2021	Misc	`conf`	Graph Based Machine Learning for Healthcare: State of the Art, Challenges, and Opportunities. AMIA Yuan Luo, Fei Wang, Marinka Zitnik, Shuiwang Ji
2021	J	`jnl`	Incentive Compatible Pareto Alignment for Multi-Source Large Graphs. CoRR Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li
2021	A*	`conf`	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 Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner
2021	J	`jnl`	Learning to Collaborate. CoRR Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
2021	Misc	`conf`	Multi-Modal Data Science for Healthcare: State of the Art, Challenges, and Opportunities. AMIA Yuan Luo, Fei Wang, Benjamin S. Glicksberg, Jessilyn Dunn, Nigam Shah
2021	Misc	`conf`	Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping. AMIA 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
2021	Misc	`conf`	Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. AMIA Gregory C. Ghahramani, Matthew Brendel, Mingquan Lin, Qingyu Chen, Tiarnan D. Keenan, Kun Chen, Emily Y. Chew, Zhiyong Lu, Yifan Peng, Fei Wang
2021	Misc	`conf`	On Constraints and Considerations for Extending Support for Natural Language Processing-Based FHIR Resource Generation. AMIA 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
2021	A*	`conf`	Online Learning in Variable Feature Spaces with Mixed Data. ICDM Yi He, Jiaxian Dong, Bo-Jian Hou, Yu Wang, Fei Wang
2021	J	`jnl`	Persona Authentication through Generative Dialogue. CoRR Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou
2021	A*	`conf`	Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph. ICDM Xiao Xu, Xian Xu, Yuyao Sun, Xiaoshuang Liu, Xiang Li, Guotong Xie, Fei Wang
2021	J	`jnl`	Recent advances in biomedical literature mining. Briefings Bioinform. Sendong Zhao, Chang Su, Zhiyong Lu, Fei Wang
2021	A*	`conf`	S-LIME: Stabilized-LIME for Model Explanation. KDD Zhengze Zhou, Giles Hooker, Fei Wang
2021	J	`jnl`	S-LIME: Stabilized-LIME for Model Explanation. CoRR Zhengze Zhou, Giles Hooker, Fei Wang
2021	A*	`conf`	SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. ICDM Chengxi Zang, Fei Wang
2021	J	`jnl`	SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. CoRR Chengxi Zang, Fei Wang
2021	J	`jnl`	The application of artificial intelligence and data integration in COVID-19 studies: a scoping review. J. Am. Medical Informatics Assoc. Yi Guo, Yahan Zhang, Tianchen Lyu, Mattia Prosperi, Fei Wang, Hua Xu, Jiang Bian
2021	A*	`conf`	Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility. KDD Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang
2021	Misc	`conf`	Validation of Real-World Data-based Endpoint Measures of Cancer Treatment Outcomes. AMIA Qian Li, Hansi Zhang, Zhaoyi Chen, Yi Guo, Thomas J. George, Yong Chen, Fei Wang, Jiang Bian
2021	A*	`conf`	Why Attentions May Not Be Interpretable? KDD Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang
2020	J	`jnl`	A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations. CoRR Mingkai Huang, Hao Li, Bing Bai, Chang Wang, Kun Bai, Fei Wang
2020	J	`jnl`	A(DP) CoRR Jie Xu, Wei Zhang, Fei Wang
2020	A*	`conf`	Adversarial Infidelity Learning for Model Interpretation. KDD Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang
2020	J	`jnl`	Adversarial Infidelity Learning for Model Interpretation. CoRR Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang
2020	A*	`conf`	Adversarial Precision Sensing with Healthcare Applications. ICDM Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou
2020	J	`jnl`	Biomedical Knowledge Graph Refinement with Embedding and Logic Rules. CoRR Sendong Zhao, Bing Qin, Ting Liu, Fei Wang
2020	J	`jnl`	Bregmannian consensus clustering for cancer subtypes analysis. Comput. Methods Programs Biomed. Jianqiang Li, Liyang Xie, Yunshen Xie, Fei Wang
2020	J	`jnl`	Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review. CoRR Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts
2020	Misc	`conf`	Deep Representation Learning of Patient Data from Electronic Health Records: A Systematic Review. AMIA Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy A. Miller, Fei Wang, W. Jim Zheng, Kirk Roberts
2020	—	`conf`	DeepComp: Which Competing Event Will Hit the Patient First? BIBM Yingxue Li, Wenxiao Jia, Yashu Kang, Tiange Chen, Xiang Li, Xin Du, Jianzeng Dong, Changsheng Ma, Fei Wang, Guotong Xie
2020	Misc	`conf`	Designing a window into the "black box": User-centered design for improving interpretability of predictive models. AMIA Meghan Reading Turchioe, Natalie C. Benda, Lisa Grossman Liu, Fei Wang, Kristen E. Miller
2020	J	`jnl`	Domain Agnostic Learning for Unbiased Authentication. CoRR Jian Liang, Yuren Cao, Shuang Li, Bing Bai, Hao Li, Fei Wang, Kun Bai
2020	J	`jnl`	Drug repurposing against Parkinson's disease by text mining the scientific literature. Libr. Hi Tech Yongjun Zhu, Woojin Jung, Fei Wang, Chao Che
2020	J	`jnl`	Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning. CoRR Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li
2020	J	`jnl`	Editorial: Deep learning for medical image analysis. Neurocomputing Ke Lu, Fei Wang, Ling Shao, Weisheng Li
2020	Misc	`conf`	Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language. AMIA 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
2020	A*	`conf`	Federated Patient Hashing. AAAI Jie Xu, Zhenxing Xu, Peter B. Walker, Fei Wang
2020	A*	`conf`	General-Purpose User Embeddings based on Mobile App Usage. KDD Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang
2020	J	`jnl`	General-Purpose User Embeddings based on Mobile App Usage. CoRR Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang
2020	J	`jnl`	Graph convolutional networks for computational drug development and discovery. Briefings Bioinform. Mengying Sun, Sendong Zhao, Coryandar Gilvary, Olivier Elemento, Jiayu Zhou, Fei Wang
2020	B	`conf`	Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME 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
2020	Misc	`conf`	Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach. AMIA Jie Xu, Fei Wang, Zhenxing Xu, Prakash Adekkanattu, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Chengsheng Mao, Jennifer A. Pacheco, Luke V. Rasmussen, Yiye Zhang, Richard Isaacson, Jyotishman Pathak
2020	J	`jnl`	Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks. J. Biomed. Informatics 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
2020	A*	`conf`	Interactive Attention Networks for Semantic Text Matching. ICDM Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang
2020	J	`jnl`	Knowledge-driven drug repurposing using a comprehensive drug knowledge graph. Health Informatics J. Yongjun Zhu, Chao Che, Bo Jin, Ningrui Zhang, Chang Su, Fei Wang
2020	Misc	`conf`	Learning Patient Representations from Electronic Health Records across Diverse Data Types. AMIA Timothy A. Miller, Dmitriy Dligach, Fei Wang, Yuqi Si, Funda Meric-Bernstam
2020	J	`jnl`	Mapping scientific landscapes in UMLS research: a scientometric review. J. Am. Medical Informatics Assoc. Meen Chul Kim, Seojin Nam, Fei Wang, Yongjun Zhu
2020	A*	`conf`	MoFlow: An Invertible Flow Model for Generating Molecular Graphs. KDD Chengxi Zang, Fei Wang
2020	J	`jnl`	MoFlow: An Invertible Flow Model for Generating Molecular Graphs. CoRR Chengxi Zang, Fei Wang
2020	J	`jnl`	Network embedding in biomedical data science. Briefings Bioinform. Chang Su, Jie Tong, Yongjun Zhu, Peng Cui, Fei Wang
2020	A*	`conf`	Neural Dynamics on Complex Networks. KDD Chengxi Zang, Fei Wang
2020	A*	`conf`	Order-Preserving Metric Learning for Mining Multivariate Time Series. ICDM Jie Xu, Zhenxing Xu, Bin Yu, Fei Wang
2020	A*	`conf`	Recent Advances on Graph Analytics and Its Applications in Healthcare. KDD Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang
2020	J	`jnl`	Robust Finite Mixture Regression for Heterogeneous Targets. CoRR Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang
2020	A*	`conf`	Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract). AAAI Mengying Sun, Fei Wang, Olivier Elemento, Jiayu Zhou
2020	—	`conf`	Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding. IEEE BigData Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang
2020	J	`jnl`	Visualizing Deep Graph Generative Models for Drug Discovery. CoRR Karan Yang, Chengxi Zang, Fei Wang
2020	J	`jnl`	Why is Attention Not So Attentive? CoRR Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang
2020	J	`jnl`	xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility. CoRR Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang
2019	A*	`conf`	A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. AAAI Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang
2019	—	`conf`	CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. MBIA/MFCA@MICCAI Hongying Liu, Xiongjie Shen, Fanhua Shang, Feihang Ge, Fei Wang
2019	J	`jnl`	CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. CoRR Hongying Liu, Xiongjie Shen, Fanhua Shang, Fei Wang
2019	A*	`conf`	Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. AAAI Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
2019	Misc	`conf`	Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms. AMIA 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
2019	A*	`conf`	DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data. ICDM Yujuan Feng, Zhenxing Xu, Lin Gan, Ning Chen, Bin Yu, Ting Chen, Fei Wang
2019	J	`jnl`	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 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
2019	J	`jnl`	Drug knowledge bases and their applications in biomedical informatics research. Briefings Bioinform. Yongjun Zhu, Olivier Elemento, Jyotishman Pathak, Fei Wang
2019	A*	`conf`	Dynamical Origins of Distribution Functions. KDD Chengxi Zang, Peng Cui, Wenwu Zhu, Fei Wang
2019	J	`jnl`	Efficient Mining Template of Predictive Temporal Clinical Event Patterns From Patient Electronic Medical Records. IEEE J. Biomed. Health Informatics Jianqiang Li, Xiyue Tan, Xi Xu, Fei Wang
2019	Misc	`conf`	Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. AMIA 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
2019	J	`jnl`	Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. CoRR 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
2019	J	`jnl`	Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records. CoRR Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow
2019	J	`jnl`	Federated Learning for Healthcare Informatics. CoRR Jie Xu, Fei Wang
2019	A	`conf`	GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. CIKM Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang
2019	J	`jnl`	GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. CoRR Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang
2019	J	`jnl`	Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks. CoRR 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
2019	J	`jnl`	Improved Maximum Margin Clustering via the Bundle Method. IEEE Access Jianqiang Li, Jingchao Sun, Lu Liu, Bo Liu, Cao Xiao, Fei Wang
2019	J	`jnl`	Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization. Bioinform. Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
2019	J	`jnl`	Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization. Bioinform. Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
2019	J	`jnl`	Interactive Attention for Semantic Text Matching. CoRR Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang
2019	A*	`conf`	Learning From Networks: Algorithms, Theory, and Applications. KDD Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
2019	J	`jnl`	Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. CoRR Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang
2019	A*	`conf`	MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. KDD Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang
2019	J	`jnl`	MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. CoRR Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang
2019	J	`jnl`	Neural Dynamics on Complex Networks. CoRR Chengxi Zang, Fei Wang
2019	A*	`conf`	Retaining Privileged Information for Multi-Task Learning. KDD Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman
2019	A*	`conf`	Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios. AAAI Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang
2019	—	`conf`	Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care. MedInfo Zhenxing Xu, Yuan Luo, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang
2019	J	`jnl`	Temporal biomedical data analytics. J. Biomed. Informatics Robert Moskovitch, Yuval Shahar, Fei Wang, George Hripcsak
2019	A*	`conf`	Uncovering Pattern Formation of Information Flow. KDD Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, Fei Wang
2018	J	`jnl`	A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. CoRR Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang
2018	J	`jnl`	A Self-Organizing Tensor Architecture for Multi-View Clustering. CoRR Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang
2018	A*	`conf`	A Self-Organizing Tensor Architecture for Multi-view Clustering. ICDM Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang
2018	J	`jnl`	A fast multi-level algorithm for community detection in directed online social networks. J. Inf. Sci. Chang Su, Xiaohong Guan, Youtian Du, Qian Wang, Fei Wang
2018	J	`jnl`	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 Laila Rasmy, Yonghui Wu, Ningtao Wang, Xin Geng, W. Jim Zheng, Fei Wang, Hulin Wu, Hua Xu, Degui Zhi
2018	J	`jnl`	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 Min-hyung Kim, Samprit Banerjee, Yize Zhao, Fei Wang, Yiye Zhang, Yongjun Zhu, Joseph DeFerio, Lauren Evans, Sang Min Park, Jyotishman Pathak
2018	A*	`conf`	Boosted Sparse and Low-Rank Tensor Regression. NeurIPS Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang
2018	J	`jnl`	Boosted Sparse and Low-Rank Tensor Regression. CoRR Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang
2018	Misc	`conf`	Cell-specific prediction and application of drug-induced gene expression . PSB 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
2018	—	`conf`	Comparing Sex-Specific Association Networks of Chronic Medical Conditions. ICHI Min-hyung Kim, Yongjun Zhu, Samprit Banerjee, Lauren Evans, Yiye Zhang, Fei Wang, Sang Min Park, Jyotishman Pathak
2018	B	`conf`	Comparison of Machine Learning Classifiers for Breast Cancer Diagnosis Based on Feature Selection. SMC Bo Liu, Xingrui Li, Jianqiang Li, Yong Li, Jianlei Lang, Rentao Gu, Fei Wang
2018	J	`jnl`	Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. CoRR Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
2018	J	`jnl`	Crowdsourcing for Mobile Networks and IoT. Wirel. Commun. Mob. Comput. Xiping Hu, Zhaolong Ning, Kuan Zhang, Edith C. H. Ngai, Kun Bai, Fei Wang
2018	J	`jnl`	Deep learning for healthcare: review, opportunities and challenges. Briefings Bioinform. Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T. Dudley
2018	J	`jnl`	Differentially Private Generative Adversarial Network. CoRR Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, Jiayu Zhou
2018	A*	`conf`	Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. IJCAI Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
2018	J	`jnl`	Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. CoRR Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
2018	J	`jnl`	Emotion-Aware Cognitive System in Multi-Channel Cognitive Radio Ad Hoc Networks. IEEE Commun. Mag. Xiping Hu, Jun Cheng, MengChu Zhou, Bin Hu, Xin Jiang, Yi Guo, Kun Bai, Fei Wang
2018	—	`conf`	Forecast of Solar Energy Production - A Deep Learning Approach. ICBK Rui Zhang, Minwei Feng, Wei Zhang, Siyuan Lu, Fei Wang
2018	A	`conf`	Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction. SDM Tengfei Ma, Cao Xiao, Fei Wang
2018	A*	`conf`	Heterogeneous Hyper-Network Embedding. ICDM Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou
2018	A*	`conf`	Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. KDD Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou
2018	J	`jnl`	Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. CoRR Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou
2018	—	`conf`	Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization. MLHC Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
2018	J	`jnl`	Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization. CoRR Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
2018	A*	`conf`	Integrative Analysis of Patient Health Records and Neuroimages via Memory-Based Graph Convolutional Network. ICDM Xi Zhang, Jingyuan Chou, Fei Wang
2018	J	`jnl`	Leveraging mixed and incomplete outcomes via reduced-rank modeling. J. Multivar. Anal. Chongliang Luo, Jian Liang, Gen Li, Fei Wang, Changshui Zhang, Dipak K. Dey, Kun Chen
2018	A*	`conf`	MCI : Modeling-based Causality Inference in Audit Logging for Attack Investigation. NDSS 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
2018	J	`jnl`	Model-Protected Multi-Task Learning. CoRR Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang
2018	Misc	`conf`	Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease. AMIA Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang
2018	J	`jnl`	Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease. CoRR Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang
2018	A*	`conf`	Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction. IJCAI Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang
2018	J	`jnl`	Robust finite mixture regression for heterogeneous targets. Data Min. Knowl. Discov. Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang
2018	J	`jnl`	Special Issue on Data Mining in Health Informatics. J. Heal. Informatics Res. Xia Hu, Gregor Stiglic, Fei Wang
2018	A*	`conf`	Structural Deep Embedding for Hyper-Networks. AAAI Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu
2018	—	`conf`	Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. BIBM Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo
2018	J	`jnl`	Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. CoRR Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo
2018	J	`jnl`	The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations. CoRR Xi Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Sendong Zhao, Xu Min, Fei Wang
2017	A*	`conf`	Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation. AAAI Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang
2017	A	`conf`	An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. SDM Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, Fei Wang
2017	A	`conf`	Computational Drug Discovery with Dyadic Positive-Unlabeled Learning. SDM Yashu Liu, Shuang Qiu, Ping Zhang, Pinghua Gong, Fei Wang, Guoliang Xue, Jieping Ye
2017	A*	`conf`	GaDei: On Scale-Up Training as a Service for Deep Learning. ICDM Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang
2017	J	`jnl`	Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare. IEEE ACM Trans. Comput. Biol. Bioinform. Fei Wang, Xiaoli Li, Jason T. L. Wang, See-Kiong Ng
2017	—	`conf`	Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation. CRI Shijing Guo, Xiang Li, Haifeng Liu, Ping Zhang, Xin Du, Guotong Xie, Fei Wang
2017	A*	`conf`	MPI: Multiple Perspective Attack Investigation with Semantic Aware Execution Partitioning. USENIX Security Symposium Shiqing Ma, Juan Zhai, Fei Wang, Kyu Hyung Lee, Xiangyu Zhang, Dongyan Xu
2017	—	`conf`	MeDJ: Multidimensional Emotion-aware Music Delivery for Adolescent. WWW (Companion Volume) Xiping Hu, Kun Bai, Jun Cheng, Jun-qi Deng, Yanxiang Guo, Bin Hu, Arun Sai Krishnan, Fei Wang
2017	A*	`conf`	Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study. IJCAI Suyog Gupta, Wei Zhang, Fei Wang
2017	A*	`conf`	Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. AAAI Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang
2017	B	`conf`	Nonnegative matrix factorization with adaptive neighbors. IJCNN Shudong Huang, Zenglin Xu, Fei Wang
2017	A*	`conf`	Patient Subtyping via Time-Aware LSTM Networks. KDD Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou
2017	A	`conf`	Polyadic Regression and its Application to Chemogenomics. SDM Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun
2017	A*	`conf`	SPARTan: Scalable PARAFAC2 for Large & Sparse Data. KDD Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun
2017	J	`jnl`	SPARTan: Scalable PARAFAC2 for Large & Sparse Data. CoRR Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun
2017	J	`jnl`	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. Yongjun Zhu, Erjia Yan, Fei Wang
2017	J	`jnl`	Structural Deep Embedding for Hyper-Networks. CoRR Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu
2017	Misc	`conf`	Subtyping Parkinson's Disease with Recurrent Neural Network Models. AMIA Xi Zhang, Jian Liang, Cao Xiao, Yize Zhao, Fei Wang
2017	A*	`conf`	TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. AAAI Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang
2017	J	`jnl`	Tensor factorization toward precision medicine. Briefings Bioinform. Yuan Luo, Fei Wang, Peter Szolovits
2017	J	`jnl`	Towards Unsupervised Gene Selection: A Matrix Factorization Framework. IEEE ACM Trans. Comput. Biol. Bioinform. Jianqiang Li, Fei Wang
2017	A*	`conf`	Treatment Effect Estimation with Data-Driven Variable Decomposition. AAAI Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang
2017	J	`jnl`	Uncovering and predicting the dynamic process of information cascades with survival model. Knowl. Inf. Syst. Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang
2017	A*	`conf`	Unsupervised Network Discovery for Brain Imaging Data. KDD Zilong Bai, Peter B. Walker, Anna E. Tschiffely, Fei Wang, Ian Davidson
2017	J	`jnl`	Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality. IEEE Trans. Knowl. Data Eng. Mohammad Akbari, Xia Hu, Fei Wang, Tat-Seng Chua
2016	Misc	`conf`	Computational Phenotyping Methods. AMIA Yuan Luo, Jimeng Sun, Xiaoqian Jiang, Fei Wang
2016	Misc	`conf`	Data Mining for Medical Informatics (DMMI) - Learning Health. AMIA Fei Wang, Gregor Stiglic, Mihaela van der Schaar, David A. Sontag, Christopher C. Yang
2016	J	`jnl`	Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue. ACM Trans. Knowl. Discov. Data Hanghang Tong, Fei Wang, Munmun De Choudhury, Zoran Obradovic
2016	A	`conf`	HERCULE: attack story reconstruction via community discovery on correlated log graph. ACSAC Kexin Pei, Zhongshu Gu, Brendan Saltaformaggio, Shiqing Ma, Fei Wang, Zhiwei Zhang, Luo Si, Xiangyu Zhang, Dongyan Xu
2016	A*	`conf`	Healthcare Data Mining with Matrix Models. KDD Fei Wang, Ping Zhang, Joel Dudley
2016	J	`jnl`	Manifold regularized matrix completion for multilabel classification. Pattern Recognit. Lett. Bin Liu, Zenglin Xu, Shuang Wu, Fei Wang
2016	A*	`conf`	Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. ICDM Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang
2016	A*	`conf`	Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study. ICDM Suyog Gupta, Wei Zhang, Fei Wang
2016	J	`jnl`	Nonparametric models for characterizing the topical communities in social network. Neurocomputing Ziqi Liu, Qinghua Zheng, Fei Wang, Buyue Qian
2016	J	`jnl`	Online Behavioral Analysis and Modeling [Guest Editorial]. IEEE Intell. Syst. Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang
2016	J	`jnl`	PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records. IEEE Trans. Multim. Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou
2016	—	`conf`	Poster Paper: Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy. ICHI Jian Liang, Rui Lu, Changshui Zhang, Fei Wang
2016	Misc	`conf`	Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients. AMIA Lina M. Sulieman, Daniel Fabbri, Fei Wang, Jianying Hu, Bradley A. Malin
2016	—	`conf`	Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy. ICHI Jian Liang, Rui Lu, Changshui Zhang, Fei Wang
2016	A	`conf`	Risk Prediction with Electronic Health Records: A Deep Learning Approach. SDM Yu Cheng, Fei Wang, Ping Zhang, Jianying Hu
2016	B	`conf`	Robust Word-Network Topic Model for Short Texts. ICTAI Fei Wang, Rui Liu, Yuan Zuo, Hui Zhang, He Zhang, Junjie Wu
2016	J	`jnl`	Semi-supervised learning via mean field methods. Neurocomputing Jianqiang Li, Fei Wang
2016	J	`jnl`	Stochastic convex sparse principal component analysis. EURASIP J. Bioinform. Syst. Biol. Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou
2016	J	`jnl`	Temporal data analytics. J. Biomed. Informatics Robert Moskovitch, Fei Wang, Yuval Shahar, George Hripcsak
2016	A*	`conf`	Topic Modeling of Short Texts: A Pseudo-Document View. KDD Yuan Zuo, Junjie Wu, Hui Zhang, Hao Lin, Fei Wang, Ke Xu, Hui Xiong
2016	J	`jnl`	Uncovering and Predicting Human Behaviors. IEEE Intell. Syst. Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang
2016	Misc	`conf`	Using Hospitalization and Suicide Mortality Data to Identify Subpopulation of High Suicide Risk via Survival Modeling. AMIA Kun Chen, Fei Wang, Robert H. Aseltine
2015	—	`ed.`	2015 International Conference on Healthcare Informatics, ICHI 2015, Dallas, TX, USA, October 21-23, 2015 ICHI Prabhakaran Balakrishnan, Jaideep Srivatsava, Wai-Tat Fu, Sanda M. Harabagiu, Fei Wang
2015	J	`jnl`	Adaptive semi-supervised recursive tree partitioning: The ART towards large scale patient indexing in personalized healthcare. J. Biomed. Informatics Fei Wang
2015	—	`conf`	Analysis of Care Pathway Variation Patterns in Patient Records. MIE Xiang Li, Jing Mei, Haifeng Liu, Yiqin Yu, Guotong Xie, Jianying Hu, Fei Wang
2015	A*	`conf`	Complementary Aspect-Based Opinion Mining Across Asymmetric Collections. ICDM Yuan Zuo, Junjie Wu, Hui Zhang, Deqing Wang, Hao Lin, Fei Wang, Ke Xu
2015	—	`conf`	Data Analytics in Healthcare Informatics. ICHI Fei Wang, Gregor Stiglic
2015	Misc	`conf`	Data-driven Temporal Prediction of Surgical Site Infection. AMIA Cristina Soguero-Ruíz, Fei Wang, Robert Jenssen, Knut Magne Augestad, José Luis Rojo-Álvarez, Inmaculada Mora-Jiménez, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth
2015	A*	`conf`	From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics. ICDM Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang
2015	J	`jnl`	From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics. CoRR Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, Shiqiang Yang
2015	J	`jnl`	Guest editorial: Special issue on data mining for medicine and healthcare. Data Min. Knowl. Discov. Fei Wang, Gregor Stiglic, Zoran Obradovic, Ian Davidson
2015	A*	`conf`	LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management. KDD Zhaonan Sun, Fei Wang, Jianying Hu
2015	J	`jnl`	Large-scale eigenvector approximation via Hilbert Space Embedding Nyström. Pattern Recognit. Ming Lin, Fei Wang, Changshui Zhang
2015	Misc	`conf`	Medical Inpatient Journey Modeling and Clustering: A Bayesian Hidden Markov Model Based Approach. AMIA Zhengxing Huang, Wei Dong, Fei Wang, Huilong Duan
2015	J	`jnl`	Mining and exploring care pathways from electronic medical records with visual analytics. J. Biomed. Informatics Adam Perer, Fei Wang, Jianying Hu
2015	A	`conf`	Modeling Users' Adoption Behaviors with Social Selection and Influence. SDM Ziqi Liu, Fei Wang, Qinghua Zheng
2015	A*	`conf`	Non-transitive Hashing with Latent Similarity Components. KDD Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu
2015	A*	`conf`	Outcomes Prediction via Time Intervals Related Patterns. ICDM Robert Moskovitch, Colin G. Walsh, Fei Wang, George Hripcsak, Nicholas P. Tatonetti
2015	J	`jnl`	PSF: A Unified Patient Similarity Evaluation Framework Through Metric Learning With Weak Supervision. IEEE J. Biomed. Health Informatics Fei Wang, Jimeng Sun
2015	A*	`conf`	Perceiving Group Themes from Collective Social and Behavioral Information. AAAI Peng Cui, Tianyang Zhang, Fei Wang, Peng He
2015	A*	`conf`	Probabilistic Attributed Hashing. AAAI Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu
2015	J	`jnl`	Social Recommendation with Cross-Domain Transferable Knowledge. IEEE Trans. Knowl. Data Eng. Meng Jiang, Peng Cui, Xumin Chen, Fei Wang, Wenwu Zhu, Shiqiang Yang
2015	J	`jnl`	SocialHelix: visual analysis of sentiment divergence in social media. J. Vis. Nan Cao, Lu Lu, Yu-Ru Lin, Fei Wang, Zhen Wen
2015	J	`jnl`	Survey on distance metric learning and dimensionality reduction in data mining. Data Min. Knowl. Discov. Fei Wang, Jimeng Sun
2015	—	`conf`	Synthesizing Analytic Evidence to Refine Care Pathways. MIE Haifeng Liu, Xiang Li, Yiqin Yu, Jing Mei, Guo Tong Xie, Adam Perer, Fei Wang, Jianying Hu
2015	A*	`conf`	Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework. KDD Chuanren Liu, Fei Wang, Jianying Hu, Hui Xiong
2015	Misc	`conf`	Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning. AMIA Ping Zhang, Zhaonan Sun, Fei Wang, Jianying Hu
2015	J	`jnl`	Towards actionable risk stratification: A bilinear approach. J. Biomed. Informatics Xiang Wang, Fei Wang, Jianying Hu, Robert Sorrentino
2014	A	`conf`	1st workshop on diffusion networks and cascade analytics. WSDM Peng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez
2014	A	`conf`	A Dynamic Nonparametric Model for Characterizing the Topical Communities in Social Streams. SDM Ziqi Liu, Qinghua Zheng, Fei Wang, Zhenhua Tian, Bo Li
2014	B	`conf`	A Multi-task Learning Framework for Joint Disease Risk Prediction and Comorbidity Discovery. ICPR Xiang Wang, Fei Wang, Jianying Hu
2014	J	`jnl`	A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data. J. Biomed. Informatics David Gotz, Fei Wang, Adam Perer
2014	—	`conf`	Care Pathway Workbench: Evidence Harmonization from Guideline and Data. MIE Yiqin Yu, Haifeng Liu, Jing Li, Xiang Li, Jing Mei, Guotong Xie, Adam Perer, Fei Wang, Jianying Hu
2014	Misc	`conf`	Clinical Risk Prediction by Exploring High-Order Feature Correlations. AMIA Fei Wang, Ping Zhang, Xiang Wang, Jianying Hu
2014	A*	`conf`	Clinical risk prediction with multilinear sparse logistic regression. KDD Fei Wang, Ping Zhang, Buyue Qian, Xiang Wang, Ian Davidson
2014	B	`conf`	DensityTransfer: A Data Driven Approach for Imputing Electronic Health Records. ICPR Fei Wang, Jiayu Zhou, Jianying Hu
2014	Misc	`conf`	Exploring Joint Disease Risk Prediction. AMIA Xiang Wang, Fei Wang, Jianying Hu, Robert Sorrentino
2014	J	`jnl`	Exploring the associations between drug side-effects and therapeutic indications. J. Biomed. Informatics Fei Wang, Ping Zhang, Nan Cao, Jianying Hu, Robert Sorrentino
2014	A*	`conf`	FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery. KDD Meng Jiang, Peng Cui, Fei Wang, Xinran Xu, Wenwu Zhu, Shiqiang Yang
2014	A	`conf`	Frequence: interactive mining and visualization of temporal frequent event sequences. IUI Adam Perer, Fei Wang
2014	A*	`conf`	From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records. KDD Jiayu Zhou, Fei Wang, Jianying Hu, Jieping Ye
2014	A	`conf`	Kaleido: Network Traffic Attribution using Multifaceted Footprinting. SDM Ting Wang, Fei Wang, Reiner Sailer, Douglas Lee Schales
2014	J	`jnl`	OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data. Proc. VLDB Endow. Mingxuan Yuan, Ke Deng, Jia Zeng, Yanhua Li, Bing Ni, Xiuqiang He, Fei Wang, Wenyuan Dai, Qiang Yang
2014	—	`conf`	PEARL: An interactive visual analytic tool for understanding personal emotion style derived from social media. IEEE VAST Jian Zhao, Liang Gou, Fei Wang, Michelle X. Zhou
2014	A*	`conf`	Quantifying herding effects in crowd wisdom. KDD Ting Wang, Dashun Wang, Fei Wang
2014	Misc	`conf`	Readmission Classification Using Stacked Regularized Logistic Regression Models. AMIA Gregor Stiglic, Fei Wang, Adam Davey, Zoran Obradovic
2014	J	`jnl`	Scalable Recommendation with Social Contextual Information. IEEE Trans. Knowl. Data Eng. Meng Jiang, Peng Cui, Fei Wang, Wenwu Zhu, Shiqiang Yang
2014	A	`conf`	Self-Taught Spectral Clustering via Constraint Augmentation. SDM Xiang Wang, Jun Wang, Buyue Qian, Fei Wang, Ian Davidson
2014	—	`ch.`	Social Networks in Healthcare, Case Study. Encyclopedia of Social Network Analysis and Mining Fei Wang
2014	Misc	`conf`	Towards Drug Repositioning: A Unified Computational Framework for Integrating Multiple Aspects of Drug Similarity and Disease Similarity. AMIA Ping Zhang, Fei Wang, Jianying Hu
2014	A*	`conf`	Unsupervised learning of disease progression models. KDD Xiang Wang, David A. Sontag, Fei Wang
2014	A	`conf`	Who have got answers?: growing the pool of answerers in a smart enterprise social QA system. IUI Lin Luo, Fei Wang, Michelle X. Zhou, Yingxin Pan, Hang Chen
2013	J	`jnl`	A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data. IEEE Trans. Pattern Anal. Mach. Intell. Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi, Andrew F. Laine
2013	A*	`conf`	Active Learning from Relative Queries. IJCAI Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye, Ian Davidson
2013	A*	`conf`	Cascading outbreak prediction in networks: a data-driven approach. KDD Peng Cui, Shifei Jin, Linyun Yu, Fei Wang, Wenwu Zhu, Shiqiang Yang
2013	A*	`conf`	Comparing apples to oranges: a scalable solution with heterogeneous hashing. KDD Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang
2013	—	`conf`	Computational discovery of personal traits from social multimedia. ICME Workshops Michelle X. Zhou, Fei Wang, Thomas Zimmerman, Huahai Yang, Eben M. Haber, Liang Gou
2013	—	`conf`	Demonstrating Interactive Multi-resolution Large Graph Exploration. ICDM Workshops Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, Duen Horng (Polo) Chau
2013	A*	`conf`	Exploring Patient Risk Groups with Incomplete Knowledge. ICDM Xiang Wang, Fei Wang, Jun Wang, Buyue Qian, Jianying Hu
2013	Misc	`conf`	Exploring the Relationship Between Drug Side-Effects and Therapeutic Indications. AMIA Ping Zhang, Fei Wang, Jianying Hu, Robert Sorrentino
2013	A*	`conf`	FeaFiner: biomarker identification from medical data through feature generalization and selection. KDD Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye
2013	A	`conf`	Investigating Clinical Care Pathways Correlated with Outcomes. BPM Geetika T. Lakshmanan, Szabolcs Rozsnyai, Fei Wang
2013	A	`conf`	Optimizing temporal topic segmentation for intelligent text visualization. IUI Shimei Pan, Michelle X. Zhou, Yangqiu Song, Weihong Qian, Fei Wang, Shixia Liu
2013	A	`conf`	Question routing to user communities. CIKM Aditya Pal, Fei Wang, Michelle X. Zhou, Jeffrey Nichols, Barton A. Smith
2012	Misc	`conf`	A Healthcare Utilization Analysis Framework for Hot Spotting and Contextual Anomaly Detection. AMIA Jianying Hu, Fei Wang, Jimeng Sun, Robert Sorrentino, Shahram Ebadollahi
2012	J	`jnl`	A Matrix-Based Approach to Unsupervised Human Action Categorization. IEEE Trans. Multim. Peng Cui, Fei Wang, Lifeng Sun, Jianwei Zhang, Shi-Qiang Yang
2012	J	`jnl`	Case-based reasoning in comparative effectiveness research. IBM J. Res. Dev. Marianthi Markatou, Prabani Kuruppumullage Don, Jianying Hu, Fei Wang, Jimeng Sun, Robert Sorrentino, Shahram Ebadollahi
2012	Misc	`conf`	Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records. AMIA Jimeng Sun, Jianying Hu, Dijun Luo, Marianthi Markatou, Fei Wang, Shahram Ebadollahi, Zahra Daar, Walter F. Stewart
2012	J	`jnl`	Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment. Stat. Anal. Data Min. Fei Wang, Jimeng Sun, Shahram Ebadollahi
2012	J	`jnl`	Fast affinity propagation clustering: A multilevel approach. Pattern Recognit. Fanhua Shang, Licheng Jiao, Jiarong Shi, Fei Wang, Maoguo Gong
2012	J	`jnl`	Fast semi-supervised clustering with enhanced spectral embedding. Pattern Recognit. Licheng Jiao, Fanhua Shang, Fei Wang, Yuanyuan Liu
2012	J	`jnl`	Graph dual regularization non-negative matrix factorization for co-clustering. Pattern Recognit. Fanhua Shang, Licheng Jiao, Fei Wang
2012	J	`jnl`	Guest editorial: Special issue on information retrieval for social media. Inf. Retr. Fei Wang, Peng Cui, Gordon Sun, Tat-Seng Chua, Shiqiang Yang
2012	J	`jnl`	Guest editorial: special issue on data mining technologies for computational social science. Data Min. Knowl. Discov. Fei Wang, Hanghang Tong, Philip S. Yu, Charu C. Aggarwal
2012	Misc	`conf`	ICDA: A Platform for Intelligent Care Delivery Analytics. AMIA David Gotz, Harry Stavropoulos, Jimeng Sun, Fei Wang
2012	J	`jnl`	Improving clustering by learning a bi-stochastic data similarity matrix. Knowl. Inf. Syst. Fei Wang, Ping Li, Arnd Christian König, Muting Wan
2012	A	`conf`	Learning spectral embedding via iterative eigenvalue thresholding. CIKM Fanhua Shang, Licheng Jiao, Yuanyuan Liu, Fei Wang
2012	B	`conf`	Medical prognosis based on patient similarity and expert feedback. ICPR Fei Wang, Jianying Hu, Jimeng Sun
2012	—	`conf`	Overlapping Clustering with Sparseness Constraints. ICDM Workshops Haibing Lu, Yuan Hong, W. Nick Street, Fei Wang, Hanghang Tong
2012	A	`conf`	SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications. SDM Dijun Luo, Fei Wang, Jimeng Sun, Marianthi Markatou, Jianying Hu, Shahram Ebadollahi
2012	A*	`conf`	Semi-supervised learning with mixed knowledge information. KDD Fanhua Shang, Licheng Jiao, Fei Wang
2012	A	`conf`	Social contextual recommendation. CIKM Meng Jiang, Peng Cui, Rui Liu, Qiang Yang, Fei Wang, Wenwu Zhu, Shiqiang Yang
2012	A	`conf`	Social recommendation across multiple relational domains. CIKM Meng Jiang, Peng Cui, Fei Wang, Qiang Yang, Wenwu Zhu, Shiqiang Yang
2012	J	`jnl`	Solution Path for Manifold Regularized Semisupervised Classification. IEEE Trans. Syst. Man Cybern. Part B Gang Wang, Fei Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky
2012	J	`jnl`	Supervised patient similarity measure of heterogeneous patient records. SIGKDD Explor. Jimeng Sun, Fei Wang, Jianying Hu, Shahram Ebadollahi
2012	A*	`conf`	Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach. KDD Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi
2011	A*	`conf`	ACM international workshop on social and behavioral networked media access (SBNMA'11). ACM Multimedia Naeem Ramzan, Fei Wang, Charalampos Z. Patrikakis, Peng Cui, Nikolaos D. Doulamis, Shiqiang Yang, Gordon Sun
2011	A*	`conf`	Automatic Group Sparse Coding. AAAI Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi
2011	J	`jnl`	Community discovery using nonnegative matrix factorization. Data Min. Knowl. Discov. Fei Wang, Tao Li, Xin Wang, Shenghuo Zhu, Chris H. Q. Ding
2011	A*	`conf`	Composite hashing with multiple information sources. SIGIR Dan Zhang, Fei Wang, Luo Si
2011	A	`conf`	Efficient Document Clustering via Online Nonnegative Matrix Factorizations. SDM Fei Wang, Ping Li, Arnd Christian König
2011	J	`jnl`	Guest editorial: special issue on data mining with matrices, graphs and tensors. Data Min. Knowl. Discov. Tao Li, Chris H. Q. Ding, Fei Wang
2011	A	`conf`	Integrating Distance Metrics Learned from Multiple Experts and its Application in Inter-Patient Similarity Assessment. SDM Fei Wang, Jimeng Sun, Shahram Ebadollahi
2011	A*	`conf`	Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization. AAAI Peng Cui, Fei Wang, Shiqiang Yang, Lifeng Sun
2011	A*	`conf`	Learning Spectral Embedding for Semi-supervised Clustering. ICDM Fanhua Shang, Yuanyuan Liu, Fei Wang
2011	J	`jnl`	Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering. IEEE Trans. Neural Networks Dan Zhang, Fei Wang, Luo Si, Tao Li
2011	—	`conf`	Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients. HISB Noah Lee, Andrew F. Laine, Jianying Hu, Fei Wang, Jimeng Sun, Shahram Ebadollahi
2011	J	`jnl`	Semi-supervised ranking aggregation. Inf. Process. Manag. Shouchun Chen, Fei Wang, Yangqiu Song, Changshui Zhang
2011	J	`jnl`	Semisupervised Learning Using Negative Labels. IEEE Trans. Neural Networks Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu
2011	A*	`conf`	Towards Evolutionary Nonnegative Matrix Factorization. AAAI Fei Wang, Hanghang Tong, Ching-Yung Lin
2011	J	`jnl`	Unsupervised Large Margin Discriminative Projection. IEEE Trans. Neural Networks Fei Wang, Bin Zhao, Changshui Zhang
2011	A*	`conf`	Who should share what?: item-level social influence prediction for users and posts ranking. SIGIR Peng Cui, Fei Wang, Shaowei Liu, Mingdong Ou, Shiqiang Yang, Lifeng Sun
2011	A	`conf`	iMet: Interactive Metric Learning in Healthcare Applications. SDM Fei Wang, Jimeng Sun, Jianying Hu, Shahram Ebadollahi
2010	J	`jnl`	A multilevel approach for learning from labeled and unlabeled data on graphs. Pattern Recognit. Changshui Zhang, Fei Wang
2010	B	`conf`	Compressed Learning with Regular Concept. ALT Jiawei Lv, Jianwen Zhang, Fei Wang, Zheng Wang, Changshui Zhang
2010	A*	`conf`	Compressed Nonnegative Sparse Coding. ICDM Fei Wang, Ping Li
2010	A	`conf`	Efficient Nonnegative Matrix Factorization with Random Projections. SDM Fei Wang, Ping Li
2010	J	`jnl`	Interactive localized content based image retrieval with multiple-instance active learning. Pattern Recognit. Dan Zhang, Fei Wang, Zhenwei Shi, Changshui Zhang
2010	A*	`conf`	Learning a Bi-Stochastic Data Similarity Matrix. ICDM Fei Wang, Ping Li, Arnd Christian König
2010	J	`jnl`	Linear time maximum margin clustering. IEEE Trans. Neural Networks Fei Wang, Bin Zhao, Changshui Zhang
2009	A*	`conf`	Beyond the graphs: Semi-parametric semi-supervised discriminant analysis. CVPR Fei Wang, Xin Wang, Tao Li
2009	J	`jnl`	Block-Quantized Support Vector Ordinal Regression. IEEE Trans. Neural Networks Bin Zhao, Fei Wang, Changshui Zhang
2009	J	`jnl`	Clustering with Local and Global Regularization. IEEE Trans. Knowl. Data Eng. Fei Wang, Changshui Zhang, Tao Li
2009	J	`jnl`	Collaborative filtering using orthogonal nonnegative matrix tri-factorization. Inf. Process. Manag. Gang Chen, Fei Wang, Changshui Zhang
2009	J	`jnl`	Contextual Mixture Tracking. IEEE Trans. Multim. Peng Cui, Lifeng Sun, Fei Wang, Shiqiang Yang
2009	A*	`conf`	Efficient multi-label classification with hypergraph regularization. CVPR Gang Chen, Jianwen Zhang, Fei Wang, Changshui Zhang, Yuli Gao
2009	A*	`conf`	Generalized Cluster Aggregation. IJCAI Fei Wang, Xin Wang, Tao Li
2009	J	`jnl`	Graph-based semi-supervised learning. Artif. Life Robotics Changshui Zhang, Fei Wang
2009	A	`conf`	Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations. SDM Fei Wang, Chris H. Q. Ding, Tao Li
2009	—	`conf`	Knowledge Transformation by Cross-Domain Belief Propagation. ICDM Workshops Fei Wang, Tao Li
2009	J	`jnl`	Linear Neighborhood Propagation and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. Jingdong Wang, Fei Wang, Changshui Zhang, Helen C. Shen, Long Quan
2009	A*	`conf`	M3IC: Maximum Margin Multiple Instance Clustering. IJCAI Dan Zhang, Fei Wang, Luo Si, Tao Li
2009	A*	`conf`	Maximum Margin Clustering on Data Manifolds. ICDM Fei Wang, Xin Wang, Tao Li
2009	J	`jnl`	Neighborhood discriminant tensor mapping. Neurocomputing Fei Wang, Xin Wang
2009	A*	`conf`	Preference Learning with Extreme Examples. IJCAI Fei Wang, Bin Zhang, Ta-Hsin Li, Wen Jun Yin, Jin Dong, Tao Li
2009	A*	`conf`	Semi-supervised Multi-task Learning with Task Regularizations. ICDM Fei Wang, Xin Wang, Tao Li
2009	J	`jnl`	Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images. Pattern Anal. Appl. Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang, Shiming Xiang, Dan Zhang
2009	—	`conf`	Tag Integrated Multi-Label Music Style Classification with Hypergraph. ISMIR Fei Wang, Xin Wang, Bo Shao, Tao Li, Mitsunori Ogihara
2009	A*	`conf`	Two Heads Better Than One: Metric+Active Learning and its Applications for IT Service Classification. ICDM Fei Wang, Jimeng Sun, Tao Li, Nikos Anerousis
2009	A*	`conf`	Unsupervised Maximum Margin Feature Selection with manifold regularization. CVPR Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui Zhang
2009	J	`jnl`	marginFace: A novel face recognition method by average neighborhood margin maximization. Pattern Recognit. Fei Wang, Xin Wang, Daoqiang Zhang, Changshui Zhang, Tao Li
2008	A*	`conf`	A Joint Matrix Factorization Approach to Unsupervised Action Categorization. ICDM Peng Cui, Fei Wang, Lifeng Sun, Shi-Qiang Yang
2008	Misc	`conf`	Active model selection for Graph-Based Semi-Supervised Learning. ICASSP Bin Zhao, Fei Wang, Changshui Zhang, Yangqiu Song
2008	A*	`conf`	Classification by Discriminative Regularization. AAAI Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin Dong
2008	A*	`conf`	Cuts3vm: a fast semi-supervised svm algorithm. KDD Bin Zhao, Fei Wang, Changshui Zhang
2008	A	`conf`	Efficient Maximum Margin Clustering via Cutting Plane Algorithm. SDM Bin Zhao, Fei Wang, Changshui Zhang
2008	A*	`conf`	Efficient multiclass maximum margin clustering. ICML Bin Zhao, Fei Wang, Changshui Zhang
2008	J	`jnl`	Label Propagation through Linear Neighborhoods. IEEE Trans. Knowl. Data Eng. Fei Wang, Changshui Zhang
2008	B	`conf`	Localized content based image retrieval by multiple instance active learning. ICIP Dan Zhang, Fei Wang, Zhenwei Shi, Changshui Zhang
2008	A*	`conf`	Maximum Margin Embedding. ICDM Bin Zhao, Fei Wang, Changshui Zhang
2008	A*	`conf`	Multi-View Local Learning. AAAI Dan Zhang, Fei Wang, Changshui Zhang, Tao Li
2008	A*	`conf`	On Discriminative Semi-Supervised Classification. AAAI Fei Wang, Changshui Zhang
2008	A	`conf`	Semi-Supervised Classification with Universum. SDM Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhang
2008	A	`conf`	Semi-Supervised Clustering via Matrix Factorization. SDM Fei Wang, Tao Li, Changshui Zhang
2008	A*	`conf`	Semi-supervised Classification Using Local and Global Regularization. AAAI Fei Wang, Tao Li, Gang Wang, Changshui Zhang
2008	A	`conf`	Semi-supervised Multi-label Learning by Solving a Sylvester Equation. SDM Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
2008	A	`conf`	Semi-supervised metric learning by maximizing constraint margin. CIKM Fei Wang, Shouchun Chen, Changshui Zhang, Tao Li
2008	A	`conf`	Semi-supervised ranking aggregation. CIKM Shouchun Chen, Fei Wang, Yangqiu Song, Changshui Zhang
2008	J	`jnl`	Semisupervised Learning Based on Generalized Point Charge Models. IEEE Trans. Neural Networks Fei Wang, Changshui Zhang
2007	—	`conf`	A Three-Level Scheme for Real-Time Ball Tracking. MCAM Xiaofeng Tong, Tao Wang, Wenlong Li, Yimin Zhang, Bo Yang, Fei Wang, Lifeng Sun, Shiqiang Yang
2007	A*	`conf`	Clustering with Local and Global Regularization. AAAI Fei Wang, Changshui Zhang, Tao Li
2007	—	`conf`	Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization. ICDM Workshops Gang Chen, Fei Wang, Changshui Zhang
2007	C	`conf`	Efficient label propagation for interactive image segmentation. ICMLA Fei Wang, Xin Wang, Tao Li
2007	J	`jnl`	Face recognition using spectral features. Pattern Recognit. Fei Wang, Jingdong Wang, Changshui Zhang, James T. Kwok
2007	A	`conf`	Fast Multilevel Transduction on Graphs. SDM Fei Wang, Changshui Zhang
2007	A*	`conf`	Feature Extraction by Maximizing the Average Neighborhood Margin. CVPR Fei Wang, Changshui Zhang
2007	C	`conf`	Gene Selection via Matrix Factorization. BIBE Fei Wang, Tao Li
2007	A*	`conf`	Multilevel Belief Propagation for Fast Inference on Markov Random Fields. ICDM Liang Xiong, Fei Wang, Changshui Zhang
2007	A*	`conf`	Regularized clustering for documents. SIGIR Fei Wang, Changshui Zhang, Tao Li
2007	J	`jnl`	Robust self-tuning semi-supervised learning. Neurocomputing Fei Wang, Changshui Zhang
2007	A	`conf`	Semi-Supervised Mean Fields. AISTATS Fei Wang, Shijun Wang, Changshui Zhang, Ole Winther
2007	—	`conf`	Semi-definite Manifold Alignment. ECML Liang Xiong, Fei Wang, Changshui Zhang
2007	—	`conf`	Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships. ICDM Workshops Shouchun Chen, Fei Wang, Changshui Zhang
2007	—	`conf`	Smoothness Maximization via Gradient Descents. ICASSP (2) Bin Zhao, Fei Wang, Changshui Zhang
2006	—	`conf`	A Discriminative Method For Semi-Automated Tumorous Tissues Segmentation of MR Brain Images. CVPR Workshops Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang
2006	B	`conf`	Fast Arc Detection Algorithm for Play Field Registration in Soccer Video Mining. SMC Fei Wang, Lifeng Sun, Bo Yang, Shiqiang Yang
2006	A*	`conf`	Label propagation through linear neighborhoods. ICML Fei Wang, Changshui Zhang
2006	B	`conf`	Mid-Level Descriptors Extraction of Soccer Video with Domain Knowledge. SMC Bo Yang, Lifeng Sun, Fei Wang, Peng Wang, Shi-Qiang Yang
2006	A*	`conf`	Recommendation on Item Graphs. ICDM Fei Wang, Sheng Ma, Liuzhong Yang, Tao Li
2006	—	`conf`	Semi-Supervised Classification Using Linear Neighborhood Propagation. CVPR (1) Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong Wang
2005	—	`conf`	Boosting GMM and Its Two Applications. Multiple Classifier Systems Fei Wang, Changshui Zhang, Naijiang Lu
2005	—	`conf`	Spectral Clustering for Time Series. ICAPR (1) Fei Wang, Changshui Zhang
2005	B	`conf`	Spectral feature analysis. IJCNN Fei Wang, Jingdong Wang, Changshui Zhang