Ping Zhang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 80

Top Topics

Atrial Fibrillation

Computational Framework

Top Venues

Publications

Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. CoRR (2024)
Jiajia Li, Pingping Zhang, Xia Yang, Lei Zhu, Teng Wang, Ping Zhang, Ruhan Liu, Bin Sheng, Kaixuan Wang
SSM-Net: Semi-supervised multi-task network for joint lesion segmentation and classification from pancreatic EUS images. Artif. Intell. Medicine 154 (2024)
Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder. CoRR (2024)
Ruoqi Liu, Lingfei Wu, Ping Zhang
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. CoRR (2024)
Thai-Hoang Pham, Xueru Zhang, Ping Zhang
Non-stationary Domain Generalization: Theory and Algorithm. CoRR (2024)
Seungyeon Lee, Ruoqi Liu, Wenyu Song, Lang Li, Ping Zhang
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification. CoRR (2024)
Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. KDD (2024)
Zishan Gu, Changchang Yin, Fenglin Liu, Ping Zhang
MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context. CoRR (2024)
Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CHI (2024)
Ruhan Liu, Jiajia Li, Yang Wen, Huating Li, Ping Zhang, Bin Sheng, David Dagan Feng
DDE: Deep Dynamic Epidemiological Modeling for Infectious Illness Development Forecasting in Multi-level Geographic Entities. J. Heal. Informatics Res. 8 (3) (2024)
Zishan Gu, Fenglin Liu, Changchang Yin, Ping Zhang
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning. CoRR (2024)
Ruoqi Liu, Lingfei Wu, Ping Zhang
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. AAAI (2024)
Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach. Knowl. Inf. Syst. 65 (4) (2023)
Thai-Hoang Pham, Xueru Zhang, Ping Zhang
Fairness and Accuracy under Domain Generalization. ICLR (2023)
Ruhan Liu, Tianqin Wang, Huating Li, Ping Zhang, Jing Li, Xiaokang Yang, Dinggang Shen, Bin Sheng
TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis. IEEE Trans. Medical Imaging 42 (4) (2023)
Ruoqi Liu, Katherine M. Hunold, Jeffrey M. Caterino, Ping Zhang
Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis. Nat. Mac. Intell. 5 (4) (2023)
Ruhan Liu, Jiajia Li, Yang Wen, Huating Li, Ping Zhang, Bin Sheng, David Dagan Feng
Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts. CoRR (2023)
Seungyeon Lee, Changchang Yin, Ping Zhang
Stable clinical risk prediction against distribution shift in electronic health records. Patterns 4 (9) (2023)
Thai-Hoang Pham, Xueru Zhang, Ping Zhang
Fairness and Accuracy under Domain Generalization. CoRR (2023)
Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CoRR (2023)
Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang
Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder. ICDM (2023)
Ruhan Liu, Xiangning Wang, Qiang Wu, Ling Dai, Xi Fang, Tao Yan, Jaemin Son, Shiqi Tang, Jiang Li, Zijian Gao, Adrian Galdran, J. M. Poorneshwaran, Hao Liu, Jie Wang, Yerui Chen, Prasanna Porwal, Gavin Siew Wei Tan, Xiaokang Yang, Chao Dai, Haitao Song, Mingang Chen, Huating Li, Weiping Jia, Dinggang Shen, Bin Sheng, Ping Zhang
DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. Patterns 3 (6) (2022)
Ruhan Liu, Liang Ou, Bin Sheng, Pei Hao, Ping Li, Xiaokang Yang, Guangtao Xue, Lei Zhu, Yuyang Luo, Ping Zhang, Po Yang, Huating Li, David Dagan Feng
Mixed-Weight Neural Bagging for Detecting $m^6A$ Modifications in SARS-CoV-2 RNA Sequencing. IEEE Trans. Biomed. Eng. 69 (8) (2022)
Thai-Hoang Pham, Yue Qiu, Jiahui Liu, Steven Zimmer, Eric E. O'Neill, Lei Xie, Ping Zhang
Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing. Patterns 3 (4) (2022)
Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. CoRR (2022)
Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. KDD (2022)
Seungyeon Lee, Thai-Hoang Pham, Ping Zhang
DREAM: Domain Invariant and Contrastive Representation for Sleep Dynamics. ICDM (2022)
Changchang Yin, Sayoko E. Moroi, Ping Zhang
Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM. KDD (2022)
Thai-Hoang Pham, Lei Xie, Ping Zhang
FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery. SDM (2022)
Biplob Biswas, Thai-Hoang Pham, Ping Zhang
TransICD: Transformer Based Code-Wise Attention Model for Explainable ICD Coding. AIME (2021)
Thai-Hoang Pham, Yue Qiu, Jucheng Zeng, Lei Xie, Ping Zhang
A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing. Nat. Mach. Intell. 3 (3) (2021)
Qianlong Wen, Ruoqi Liu, Ping Zhang
Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases. BMC Medical Informatics Decis. Mak. 21 (8) (2021)
Dongdong Zhang, Changchang Yin, Katherine M. Hunold, Xiaoqian Jiang, Jeffrey M. Caterino, Ping Zhang
An interpretable deep-learning model for early prediction of sepsis in the emergency department. Patterns 2 (2) (2021)
Yuanfang Guan, Hongyang Li, Daiyao Yi, Dongdong Zhang, Changchang Yin, Keyu Li, Ping Zhang
A survival model generalized to regression learning algorithms. Nat. Comput. Sci. 1 (6) (2021)
Ruhan Liu, Mengyao Liu, Bin Sheng, Huating Li, Ping Li, Haitao Song, Ping Zhang, Lixin Jiang, Dinggang Shen
NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone Segmentation. IEEE Trans. Medical Imaging 40 (12) (2021)
Ruoqi Liu, Lai Wei, Ping Zhang
A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data. Nat. Mach. Intell. 3 (1) (2021)
Dongdong Zhang, Xiaohui Yuan, Ping Zhang
Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram. CoRR (2020)
Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan, Ping Zhang
Combining structured and unstructured data for predictive models: a deep learning approach. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Bernal Jiménez Gutiérrez, Juncheng Zeng, Dongdong Zhang, Ping Zhang, Yu Su
Document Classification for COVID-19 Literature. CoRR (2020)
Sundreen Asad Kamal, Changchang Yin, Buyue Qian, Ping Zhang
An interpretable risk prediction model for healthcare with pattern attention. BMC Medical Informatics Decis. Mak. (11) (2020)
Ruoqi Liu, Changchang Yin, Ping Zhang
Estimating Individual Treatment Effects with Time-Varying Confounders. ICDM (2020)
Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang
Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder. KDD (2020)
Bernal Jimenez Gutierrez, Jucheng Zeng, Dongdong Zhang, Ping Zhang, Yu Su
Document Classification for COVID-19 Literature. EMNLP (Findings) (2020)
Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun
Graph embedding on biomedical networks: methods, applications and evaluations. Bioinform. 36 (4) (2020)
Ruoqi Liu, Lai Wei, Ping Zhang
When deep learning meets causal inference: a computational framework for drug repurposing from real-world data. CoRR (2020)
Zicong Zhang, Kimerly A. Powell, Changchang Yin, Shilei Cao, Dani Gonzalez, Yousef Hannawi, Ping Zhang
Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation. CoRR (2020)
Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Chandramouli Maduri, Daby Sow, Zachary Shahn
Finding Causal Mechanistic Drug-Drug Interactions from Observational Data. AMIA (2020)
Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations. CoRR (2019)
Sanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng
PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data. KDD (2019)
Gaocai Dong, Ping Zhang, Jingya Yang, Dongdong Zhang, Jing Peng
A Systematic Framework for Drug Repurposing based on Literature Mining. BIBM (2019)
Changchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, Ping Zhang
Domain Knowledge Guided Deep Learning with Electronic Health Records. ICDM (2019)
Ruoqi Liu, Ping Zhang
Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Kyle Yingkai Gao, Achille Fokoue, Heng Luo, Sanjoy Dey, Arun Iyengar, Ping Zhang
An Interpretable End-to-End Framework for Drug-Target Interaction Prediction Through Deep Neural Representation. AMIA (2018)
J. Shim, Heng Luo, Ping Zhang, Ying Li
Systematic analysis of drug combinations that mitigate adverse drug reactions. IBM J. Res. Dev. 62 (6) (2018)
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)
Arun Iyengar, Ashish Kundu, Upendra Sharma, Ping Zhang
A Trusted Healthcare Data Analytics Cloud Platform. ICDCS (2018)
Sanjoy Dey, Heng Luo, Achille Fokoue, Jianying Hu, Ping Zhang
Predicting adverse drug reactions through interpretable deep learning framework. BMC Bioinform. (21) (2018)
Kyle Yingkai Gao, Achille Fokoue, Heng Luo, Arun Iyengar, Sanjoy Dey, Ping Zhang
Interpretable Drug Target Prediction Using Deep Neural Representation. IJCAI (2018)
Sanjoy Dey, Ping Zhang, Kenney Ng
Estimating Personalized Drug Effects with Longitudinal Observational Data. AMIA (2018)
Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Zach Shahn, Daby Sow
Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. AMIA (2018)
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)
Yashu Liu, Shuang Qiu, Ping Zhang, Pinghua Gong, Fei Wang, Guoliang Xue, Jieping Ye
Computational Drug Discovery with Dyadic Positive-Unlabeled Learning. SDM (2017)
Janu Verma, Heng Luo, Jianying Hu, Ping Zhang
DrugPathSeeker: Interactive UI for exploring drug-ADR relation via pathways. PacificVis (2017)
Haifeng Liu, Xiang Li, Guotong Xie, Xin Du, Ping Zhang, Chengming Gu, Jingyi Hu
Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation. MedInfo (2017)
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)
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)
Mohamed F. Ghalwash, Ying Li, Ping Zhang, Jianying Hu
Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results. CIKM (2017)
Ibrahim Abdelaziz, Achille Fokoue, Oktie Hassanzadeh, Ping Zhang, Mohammad Sadoghi
Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions. J. Web Semant. 44 (2017)
Kun Lin, Ping Zhang, Gigi Y. Yuen-Reed, Ying Li, Jianying Hu
Improving predictive models with clustered sequences: An Application on Heart Failure Risk Prediction. CRI (2017)
Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang
Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation. AAAI (2017)
Fei Wang, Ping Zhang, Joel Dudley
Healthcare Data Mining with Matrix Models. KDD (2016)
Achille Fokoue, Oktie Hassanzadeh, Mohammad Sadoghi, Ping Zhang
Tiresias: Knowledge Engineering and Large-Scale Machine Learning for Interpretable Drug-Drug Interaction Prediction. AMIA (2016)
Achille Fokoue, Mohammad Sadoghi, Oktie Hassanzadeh, Ping Zhang
Predicting Drug-Drug Interactions Through Large-Scale Similarity-Based Link Prediction. ESWC (2016)
Zhaonan Sun, Xu Liu, Ping Zhang, Jianying Hu, Juan Wisnivesky
Joint Modeling of Survival Events through Multi-task Learning Framework. AMIA (2016)
Xiang Li, Haifeng Liu, Xin Du, Ping Zhang, Gang Hu, Guo Tong Xie, Shijing Guo, Meilin Xu, Xiaoping Xie
Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation. AMIA (2016)
Xiang Li, Haifeng Liu, Xin Du, Gang Hu, Guotong Xie, Ping Zhang
Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study. MIE (2016)
Yu Cheng, Fei Wang, Ping Zhang, Jianying Hu
Risk Prediction with Electronic Health Records: A Deep Learning Approach. SDM (2016)
Ying Li, Ping Zhang, Zhaonan Sun, Jianying Hu
Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems. AMIA (2016)
Achille Fokoue, Ping Zhang, Oktie Hassanzadeh, Mohammad Sadoghi
Towards Large-Scale Predictive Drug Safety: A Computational Framework for Inferring Drug Interactions Through Similarity-Based Link Prediction. AMIA (2016)
Achille Fokoue, Oktie Hassanzadeh, Mohammad Sadoghi, Ping Zhang
Predicting Drug-Drug Interactions Through Similarity-Based Link Prediction Over Web Data. WWW (Companion Volume) (2016)
Kenney Ng, Chris Kakkanatt, Michael Benigno, Clay Thompson, Margaret Jackson, Amos Cahan, Xinxin Zhu, Ping Zhang, Paul Huang
Curating and Integrating Data from Multiple Sources to Support Healthcare Analytics. MedInfo (2015)
Ping Zhang, Zhaonan Sun, Fei Wang, Jianying Hu
Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning. AMIA (2015)
Fei Wang, Ping Zhang, Buyue Qian, Xiang Wang, Ian Davidson
Clinical risk prediction with multilinear sparse logistic regression. KDD (2014)
Fei Wang, Ping Zhang, Xiang Wang, Jianying Hu
Clinical Risk Prediction by Exploring High-Order Feature Correlations. AMIA (2014)
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)
Heng Luo, Ping Zhang, Hui Huang, Jialiang Huang, Emily Kao, Leming Shi, Lin He, Lun Yang
, a server that predicts drug-drug interactions through implementing the chemical-protein interactome. Nucleic Acids Res. 42 (Webserver-Issue) (2014)
Jimeng Sun, Candace D. McNaughton, Ping Zhang, Adam Perer, Aris Gkoulalas-Divanis, Joshua C. Denny, Jacqueline Kirby, Thomas A. Lasko, Alexander Saip, Bradley A. Malin
Predicting changes in hypertension control using electronic health records from a chronic disease management program. J. Am. Medical Informatics Assoc. 21 (2) (2014)
Fei Wang, Ping Zhang, Nan Cao, Jianying Hu, Robert Sorrentino
Exploring the associations between drug side-effects and therapeutic indications. J. Biomed. Informatics 51 (2014)
Ping Zhang, Weidan Cao, Zoran Obradovic
Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics. BMC Bioinform. 14 (S-12) (2013)
Ping Zhang, Pankaj Agarwal, Zoran Obradovic
Computational Drug Repositioning by Ranking and Integrating Multiple Data Sources. ECML/PKDD (3) (2013)
Ping Zhang, Fei Wang, Jianying Hu, Robert Sorrentino
Exploring the Relationship Between Drug Side-Effects and Therapeutic Indications. AMIA (2013)
Ping Zhang, Zoran Obradovic
Integration of multiple annotators by aggregating experts and filtering novices. BIBM (2012)
Jelena Slivka, Ping Zhang, Aleksandar Kovacevic, Zora Konjovic, Zoran Obradovic
Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers. ICMLA (1) (2012)
Ping Zhang, Zoran Obradovic
Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion. ECML/PKDD (3) (2011)
Ping Zhang, Zoran Obradovic
Unsupervised integration of multiple protein disorder predictors. BIBM (2010)