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Ping Zhang 0016
Person information
- affiliation: Ohio State University, Columbus, OH, USA
- affiliation: IBM Thomas J. Watson Research Center, Center for Computational Health, Yorktown Heights, NY, USA
- affiliation (PhD 2012): Temple University, Center for Data Analytics and Biomedical Informatics, Philadelphia, PA, USA
Other persons with the same name
- Ping Zhang — disambiguation page
- Ping Zhang 0001 — University of California at San Diego, San Diego, CA, USA
- Ping Zhang 0002
— Syracuse University, Syracuse, NY, USA
- Ping Zhang 0003
— Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China (and 2 more)
- Ping Zhang 0004 — Western Michigan University, Kalamazoo, MI, USA
- Ping Zhang 0005 — Alcorn State University, USA
- Ping Zhang 0006 — Tianjin University, School of Civil Engineering, China
- Ping Zhang 0008
— Bond University, Faculty of Health Sciences and Medicine, Robina, QLD, Australia
- Ping Zhang 0009 — Peking University, Key Laboratory of Machine Perception, Beijing, China
- Ping Zhang 0010 — Department of Biomedical Engineering, Indiana University
- Ping Zhang 0011 — Hydrospheric & Biospheric Sci. Lab., NASA's Goddard Space Flight Center, Greenbelt, MD, USA
- Ping Zhang 0013 — Avaya Labs Research, Basking Ridge, NJ, USA
- Ping Zhang 0014 — Department of Manufacturing Engineering, Boston University, Boston, MA, USA
- Ping Zhang 0015
— South China University of Science and Technology, School of Computer Science and Engineering, Guangzhou, China (and 1 more)
- Ping Zhang 0017 — Department of Computer and Information Science, Indiana University Purdue University, Indianapolis, IN, USA
- Ping Zhang 0018
— Tsinghua University, Department of Engineering Physics, Institute of Public Safety Research, Beijing, China
- Ping Zhang 0019
— China Agricultural University, College of Natural Resources and Environmental Sciences, Beijing, China
- Ping Zhang 0020
— University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information, Hefei, China
- Ping Zhang 0021
— Chongqing University, Journals Department, China
- Ping Zhang 0022
— University of Kaiserslautern, Institute of Automatic Control, Germany (and 1 more)
- Ping Zhang 0023
— University of Electronic Science and Technology of China, School of Optoelectronic Science and Engineering, Chengdu, China
- Ping Zhang 0024
— Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Beijing, China
- Ping Zhang 0025
— Hebei University of Technology, School of Artificial Intelligence, Hebei Province Key Laboratory of Big Data Calculation, Tianjin, China (and 2 more)
- Ping Zhang 0026
— State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Ping Zhang 0027
— Huazhong Agricultural University, College of Informatics, Wuhan, China (and 1 more)
- Ping Zhang 0028
— Henan University of Science and Technology, School of Mathematics and Statistics, Luoyang, China
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2020 – today
- 2024
- [j28]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: 102919 (2024) - [j27]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): 478-505 (2024) - [j26]Ruoqi Liu
, Pin-Yu Chen, Ping Zhang
:
CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation. Patterns 5(6): 100973 (2024) - [c57]Ruoqi Liu, Lingfei Wu, Ping Zhang:
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. AAAI 2024: 8805-8814 - [c56]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: 445:1-445:18 - [c55]Jiayuan Chen, Changchang Yin, Yuanlong Wang, Ping Zhang:
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records. IJCAI 2024: 5763-5771 - [c54]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: 6158-6168 - [i28]Seungyeon Lee, Ruoqi Liu, Wenyu Song, Lang Li, Ping Zhang:
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification. CoRR abs/2401.12369 (2024) - [i27]Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang:
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder. CoRR abs/2401.17027 (2024) - [i26]Ruoqi Liu, Lingfei Wu, Ping Zhang:
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. CoRR abs/2403.03791 (2024) - [i25]Jiayuan Chen, Changchang Yin, Yuanlong Wang, Ping Zhang:
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records. CoRR abs/2405.03943 (2024) - [i24]Thai-Hoang Pham, Xueru Zhang, Ping Zhang:
Non-stationary Domain Generalization: Theory and Algorithm. CoRR abs/2405.06816 (2024) - [i23]Zishan Gu, Fenglin Liu, Changchang Yin, Ping Zhang:
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning. CoRR abs/2405.11640 (2024) - [i22]Zishan Gu, Changchang Yin, Fenglin Liu, Ping Zhang:
MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context. CoRR abs/2407.02730 (2024) - [i21]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 abs/2407.16999 (2024) - [i20]Siyi Wu, Weidan Cao, Shihan Fu, Bingsheng Yao, Ziqi Yang, Changchang Yin, Varun Mishra, Daniel Addison, Ping Zhang, Dakuo Wang:
Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity. CoRR abs/2408.03586 (2024) - [i19]Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Fine-Tuning is Fine, if Calibrated. CoRR abs/2409.16223 (2024) - [i18]Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Li Zhang, Wei-Lun Chao:
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition. CoRR abs/2409.16434 (2024) - [i17]Siyi Wu, Weidan Cao, Shihan Fu, Bingsheng Yao, Ziqi Yang, Changchang Yin, Varun Mishra, Daniel Addison, Ping Zhang, Dakuo Wang:
CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity. CoRR abs/2410.04592 (2024) - 2023
- [j25]Liuping Wang, Zhan Zhang, Dakuo Wang, Weidan Cao, Xiaomu Zhou, Ping Zhang, Jianxing Liu, Xiangmin Fan, Feng Tian:
Human-centered design and evaluation of AI-empowered clinical decision support systems: a systematic review. Frontiers Comput. Sci. 5 (2023) - [j24]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): 1487-1521 (2023) - [j23]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): 421-431 (2023) - [j22]Seungyeon Lee
, Changchang Yin, Ping Zhang
:
Stable clinical risk prediction against distribution shift in electronic health records. Patterns 4(9): 100828 (2023) - [j21]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): 1083-1094 (2023) - [c53]Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang:
Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder. ICDM 2023: 1079-1084 - [c52]Thai-Hoang Pham, Xueru Zhang, Ping Zhang:
Fairness and Accuracy under Domain Generalization. ICLR 2023 - [i16]Thai-Hoang Pham, Xueru Zhang, Ping Zhang:
Fairness and Accuracy under Domain Generalization. CoRR abs/2301.13323 (2023) - [i15]Bo Qian, Hao Chen, Xiangning Wang, Haoxuan Che, Gitaek Kwon, Jaeyoung Kim, Sungjin Choi, Seoyoung Shin, Felix Krause, Markus Unterdechler, Junlin Hou, Rui Feng, Yihao Li, Mostafa El Habib Daho
, Qiang Wu, Ping Zhang, Xiaokang Yang, Yiyu Cai, Weiping Jia
, Huating Li, Bin Sheng:
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images. CoRR abs/2304.02389 (2023) - [i14]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 abs/2306.12457 (2023) - [i13]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. CoRR abs/2309.12368 (2023) - [i12]Seungyeon Lee, Thai-Hoang Pham, Zhao Cheng, Ping Zhang:
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging. CoRR abs/2312.03196 (2023) - 2022
- [j20]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): 100441 (2022) - [j19]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): 100512 (2022) - [j18]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): 2557-2568 (2022) - [c51]Seungyeon Lee, Thai-Hoang Pham, Ping Zhang:
DREAM: Domain Invariant and Contrastive Representation for Sleep Dynamics. ICDM 2022: 1029-1034 - [c50]Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang:
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. KDD 2022: 2316-2326 - [c49]Changchang Yin, Sayoko E. Moroi, Ping Zhang:
Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM. KDD 2022: 4402-4412 - [c48]Thai-Hoang Pham
, Lei Xie, Ping Zhang:
FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery. SDM 2022: 720-728 - [i11]Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang:
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. CoRR abs/2205.09852 (2022) - 2021
- [j17]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): 263 (2021) - [j16]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): 68-75 (2021) - [j15]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): 247-257 (2021) - [j14]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): 433-440 (2021) - [j13]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): 100196 (2021) - [j12]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): 3446-3458 (2021) - [c47]Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun:
Contrastive Attention for Automatic Chest X-ray Report Generation. ACL/IJCNLP (Findings) 2021: 269-280 - [c46]Biplob Biswas
, Thai-Hoang Pham
, Ping Zhang
:
TransICD: Transformer Based Code-Wise Attention Model for Explainable ICD Coding. AIME 2021: 469-478 - [c45]Thai-Hoang Pham
, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang:
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. ICDM 2021: 499-508 - [c44]Zicong Zhang, Changchang Yin, Ping Zhang:
Temporal Clustering with External Memory Network for Disease Progression Modeling. ICDM 2021: 956-965 - [i10]Biplob Biswas, Thai-Hoang Pham, Ping Zhang:
TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding. CoRR abs/2104.10652 (2021) - [i9]Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun:
Contrastive Attention for Automatic Chest X-ray Report Generation. CoRR abs/2106.06965 (2021) - [i8]Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang:
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. CoRR abs/2109.12276 (2021) - [i7]Zicong Zhang, Changchang Yin, Ping Zhang:
Temporal Clustering with External Memory Network for Disease Progression Modeling. CoRR abs/2109.14147 (2021) - 2020
- [j11]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): 1241-1251 (2020) - [j10]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): 280 (2020) - [j9]Sundreen Asad Kamal, Changchang Yin, Buyue Qian, Ping Zhang
:
An interpretable risk prediction model for healthcare with pattern attention. BMC Medical Informatics Decis. Mak. 20-S(11): 307 (2020) - [c43]Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Chandramouli Maduri, Daby Sow, Zachary Shahn:
Finding Causal Mechanistic Drug-Drug Interactions from Observational Data. AMIA 2020 - [c42]Bernal Jimenez Gutierrez, Jucheng Zeng, Dongdong Zhang, Ping Zhang, Yu Su:
Document Classification for COVID-19 Literature. EMNLP (Findings) 2020: 3715-3722 - [c41]Ruoqi Liu, Changchang Yin, Ping Zhang:
Estimating Individual Treatment Effects with Time-Varying Confounders. ICDM 2020: 382-391 - [c40]Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang
:
Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder. KDD 2020: 862-872 - [i6]Bernal Jiménez Gutiérrez, Juncheng Zeng, Dongdong Zhang, Ping Zhang, Yu Su:
Document Classification for COVID-19 Literature. CoRR abs/2006.13816 (2020) - [i5]Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel, Saumya Yashmohini Sahai, Ping Zhang, Srinivasan Parthasarathy:
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings. CoRR abs/2007.02384 (2020) - [i4]Ruoqi Liu, Lai Wei, Ping Zhang:
When deep learning meets causal inference: a computational framework for drug repurposing from real-world data. CoRR abs/2007.10152 (2020) - [i3]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 abs/2010.09586 (2020) - [i2]Dongdong Zhang, Xiaohui Yuan, Ping Zhang:
Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram. CoRR abs/2010.10328 (2020)
2010 – 2019
- 2019
- [j8]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): 279 (2019) - [c39]Gaocai Dong, Ping Zhang
, Jingya Yang, Dongdong Zhang, Jing Peng:
A Systematic Framework for Drug Repurposing based on Literature Mining. BIBM 2019: 939-942 - [c38]Changchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, Ping Zhang
:
Domain Knowledge Guided Deep Learning with Electronic Health Records. ICDM 2019: 738-747 - [c37]Sanjoy Dey, Ping Zhang
, Daby Sow, Kenney Ng
:
PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data. KDD 2019: 1258-1268 - [i1]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 abs/1906.05017 (2019) - 2018
- [j7]Sanjoy Dey, Heng Luo, Achille Fokoue, Jianying Hu, Ping Zhang
:
Predicting adverse drug reactions through interpretable deep learning framework. BMC Bioinform. 19-S(21): 476:1-476:13 (2018) - [j6]J. Shim, Heng Luo, Ping Zhang
, Ying Li:
Systematic analysis of drug combinations that mitigate adverse drug reactions. IBM J. Res. Dev. 62(6): 7:1-7:9 (2018) - [c36]Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Zach Shahn, Daby Sow:
Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. AMIA 2018 - [c35]Sanjoy Dey, Ping Zhang, Kenney Ng:
Estimating Personalized Drug Effects with Longitudinal Observational Data. AMIA 2018 - [c34]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 - [c33]Arun Iyengar, Ashish Kundu, Upendra Sharma, Ping Zhang
:
A Trusted Healthcare Data Analytics Cloud Platform. ICDCS 2018: 1238-1249 - [c32]Kyle Yingkai Gao, Achille Fokoue, Heng Luo, Arun Iyengar, Sanjoy Dey, Ping Zhang
:
Interpretable Drug Target Prediction Using Deep Neural Representation. IJCAI 2018: 3371-3377 - [c31]Rachel Hodos, Ping Zhang, Hao-Chih Lee, Qiaonan Duan, Zichen Wang, Neil R. Clark, Avi Ma'ayan, Fei Wang, Brian A. Kidd, Jianying Hu, David A. Sontag, Joel Dudley:
Cell-specific prediction and application of drug-induced gene expression . PSB 2018: 32-43 - 2017
- [j5]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: 104-117 (2017) - [c30]Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang:
Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. AAAI 2017: 1367-1373 - [c29]Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang:
Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation. AAAI 2017: 1590-1596 - [c28]Janu Verma, Heng Luo, Jianying Hu, Ping Zhang
:
DrugPathSeeker: Interactive UI for exploring drug-ADR relation via pathways. PacificVis 2017: 260-264 - [c27]Mohamed F. Ghalwash
, Ying Li, Ping Zhang
, Jianying Hu:
Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results. CIKM 2017: 1837-1846 - [c26]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 - [c25]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 - [c24]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: 491-495 - [c23]Yashu Liu, Shuang Qiu, Ping Zhang
, Pinghua Gong, Fei Wang, Guoliang Xue, Jieping Ye:
Computational Drug Discovery with Dyadic Positive-Unlabeled Learning. SDM 2017: 45-53 - [c22]Ioakeim Perros, Fei Wang, Ping Zhang
, Peter B. Walker, Richard W. Vuduc
, Jyotishman Pathak, Jimeng Sun
:
Polyadic Regression and its Application to Chemogenomics. SDM 2017: 72-80 - 2016
- [c21]Achille Fokoue, Oktie Hassanzadeh, Mohammad Sadoghi
, Ping Zhang:
Tiresias: Knowledge Engineering and Large-Scale Machine Learning for Interpretable Drug-Drug Interaction Prediction. AMIA 2016 - [c20]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 - [c19]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 - [c18]Ying Li, Ping Zhang, Zhaonan Sun, Jianying Hu:
Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems. AMIA 2016 - [c17]Zhaonan Sun, Xu Liu, Ping Zhang, Jianying Hu, Juan Wisnivesky:
Joint Modeling of Survival Events through Multi-task Learning Framework. AMIA 2016 - [c16]Achille Fokoue, Mohammad Sadoghi, Oktie Hassanzadeh
, Ping Zhang
:
Predicting Drug-Drug Interactions Through Large-Scale Similarity-Based Link Prediction. ESWC 2016: 774-789 - [c15]Fei Wang, Ping Zhang
, Joel Dudley:
Healthcare Data Mining with Matrix Models. KDD 2016: 2137-2138 - [c14]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: 562-566 - [c13]Yu Cheng, Fei Wang, Ping Zhang
, Jianying Hu:
Risk Prediction with Electronic Health Records: A Deep Learning Approach. SDM 2016: 432-440 - [c12]Achille Fokoue, Oktie Hassanzadeh
, Mohammad Sadoghi
, Ping Zhang:
Predicting Drug-Drug Interactions Through Similarity-Based Link Prediction Over Web Data. WWW (Companion Volume) 2016: 175-178 - 2015
- [c11]Ping Zhang, Zhaonan Sun, Fei Wang, Jianying Hu:
Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning. AMIA 2015 - [c10]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: 1056 - 2014
- [j4]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): 337-344 (2014) - [j3]Fei Wang, Ping Zhang
, Nan Cao, Jianying Hu, Robert Sorrentino:
Exploring the associations between drug side-effects and therapeutic indications. J. Biomed. Informatics 51: 15-23 (2014) - [j2]Heng Luo
, Ping Zhang
, Hui Huang, Jialiang Huang, Emily Kao, Leming Shi, Lin He, Lun Yang:
DDI-CPI, a server that predicts drug-drug interactions through implementing the chemical-protein interactome. Nucleic Acids Res. 42(Webserver-Issue): 46-52 (2014) - [c9]Fei Wang, Ping Zhang, Xiang Wang, Jianying Hu:
Clinical Risk Prediction by Exploring High-Order Feature Correlations. AMIA 2014 - [c8]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 - [c7]Fei Wang, Ping Zhang
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