Unsupervised integration of multiple protein disorder predictors. - Ping Zhang 016; Zoran Obradovic (BIBM, 2010)

Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion. - Ping Zhang 016; Zoran Obradovic (ECML/PKDD (3), 2011)

Integration of multiple annotators by aggregating experts and filtering novices. - Ping Zhang 016; Zoran Obradovic (BIBM, 2012)

Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers. - Jelena Slivka; Ping Zhang 016; Aleksandar Kovacevic; Zora Konjovic; Zoran Obradovic (ICMLA (1), 2012)

Exploring the Relationship Between Drug Side-Effects and Therapeutic Indications. - Ping Zhang 016; Fei Wang 001; Jianying Hu; Robert Sorrentino (AMIA, 2013)

Computational Drug Repositioning by Ranking and Integrating Multiple Data Sources. - Ping Zhang 016; Pankaj Agarwal; Zoran Obradovic (ECML/PKDD (3), 2013)

Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics. - Ping Zhang 016; Weidan Cao; Zoran Obradovic (BMC Bioinform., 2013)

Clinical Risk Prediction by Exploring High-Order Feature Correlations. - Fei Wang 001; Ping Zhang 016; Xiang Wang 001; Jianying Hu (AMIA, 2014)

Towards Drug Repositioning: A Unified Computational Framework for Integrating Multiple Aspects of Drug Similarity and Disease Similarity. - Ping Zhang 016; Fei Wang 001; Jianying Hu (AMIA, 2014)

Clinical risk prediction with multilinear sparse logistic regression. - Fei Wang 001; Ping Zhang 016; Buyue Qian; Xiang Wang 001; Ian Davidson (KDD, 2014)

Predicting changes in hypertension control using electronic health records from a chronic disease management program. - Jimeng Sun 001; Candace D. McNaughton; Ping Zhang 016; Adam Perer; Aris Gkoulalas-Divanis; Joshua C. Denny; Jacqueline Kirby; Thomas A. Lasko; Alexander Saip; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2014)

Exploring the associations between drug side-effects and therapeutic indications. - Fei Wang 001; Ping Zhang 016; Nan Cao 001; Jianying Hu; Robert Sorrentino (J. Biomed. Informatics, 2014)

DDI-CPI, a server that predicts drug-drug interactions through implementing the chemical-protein interactome. - Heng Luo 002; Ping Zhang 016; Hui Huang; Jialiang Huang; Emily Kao; Leming Shi; Lin He 007; Lun Yang (Nucleic Acids Res., 2014)

Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning. - Ping Zhang 016; Zhaonan Sun; Fei Wang 001; Jianying Hu (AMIA, 2015)

Curating and Integrating Data from Multiple Sources to Support Healthcare Analytics. - Kenney Ng; Chris Kakkanatt; Michael Benigno; Clay Thompson; Margaret Jackson; Amos Cahan; Xinxin Zhu; Ping Zhang 016; Paul Huang (MedInfo, 2015)

Tiresias: Knowledge Engineering and Large-Scale Machine Learning for Interpretable Drug-Drug Interaction Prediction. - Achille Fokoue; Oktie Hassanzadeh; Mohammad Sadoghi; Ping Zhang 016 (AMIA, 2016)

Towards Large-Scale Predictive Drug Safety: A Computational Framework for Inferring Drug Interactions Through Similarity-Based Link Prediction. - Achille Fokoue; Ping Zhang 016; Oktie Hassanzadeh; Mohammad Sadoghi (AMIA, 2016)

Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation. - Xiang Li 013; Haifeng Liu 005; Xin Du; Ping Zhang 016; Gang Hu 001; Guo Tong Xie; Shijing Guo; Meilin Xu; Xiaoping Xie (AMIA, 2016)

Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems. - Ying Li 053; Ping Zhang 016; Zhaonan Sun; Jianying Hu (AMIA, 2016)

Joint Modeling of Survival Events through Multi-task Learning Framework. - Zhaonan Sun; Xu Liu; Ping Zhang 016; Jianying Hu; Juan Wisnivesky (AMIA, 2016)

Predicting Drug-Drug Interactions Through Large-Scale Similarity-Based Link Prediction. - Achille Fokoue; Mohammad Sadoghi; Oktie Hassanzadeh; Ping Zhang 016 (ESWC, 2016)

Healthcare Data Mining with Matrix Models. - Fei Wang 001; Ping Zhang 016; Joel Dudley (KDD, 2016)

Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study. - Xiang Li 013; Haifeng Liu 005; Xin Du; Gang Hu 001; Guotong Xie; Ping Zhang 016 (MIE, 2016)

Risk Prediction with Electronic Health Records: A Deep Learning Approach. - Yu Cheng; Fei Wang 001; Ping Zhang 016; Jianying Hu (SDM, 2016)

Predicting Drug-Drug Interactions Through Similarity-Based Link Prediction Over Web Data. - Achille Fokoue; Oktie Hassanzadeh; Mohammad Sadoghi; Ping Zhang 016 (WWW (Companion Volume), 2016)

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. - Bo Jin 001; Haoyu Yang; Cao Xiao; Ping Zhang 016; Xiaopeng Wei; Fei Wang 001 (AAAI, 2017)

Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation. - Cao Xiao; Ping Zhang 016; W. Art Chaovalitwongse; Jianying Hu; Fei Wang 001 (AAAI, 2017)

DrugPathSeeker: Interactive UI for exploring drug-ADR relation via pathways. - Janu Verma; Heng Luo 002; Jianying Hu; Ping Zhang 016 (PacificVis, 2017)

Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results. - Mohamed F. Ghalwash; Ying Li 053; Ping Zhang 016; Jianying Hu (CIKM, 2017)

Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation. - Shijing Guo; Xiang Li 013; Haifeng Liu 005; Ping Zhang 016; Xin Du; Guotong Xie; Fei Wang 001 (CRI, 2017)

Improving predictive models with clustered sequences: An Application on Heart Failure Risk Prediction. - Kun Lin; Ping Zhang 016; Gigi Y. Yuen-Reed; Ying Li 053; Jianying Hu (CRI, 2017)

Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation. - Haifeng Liu 005; Xiang Li 013; Guotong Xie; Xin Du; Ping Zhang 016; Chengming Gu; Jingyi Hu (MedInfo, 2017)

Computational Drug Discovery with Dyadic Positive-Unlabeled Learning. - Yashu Liu 001; Shuang Qiu; Ping Zhang 016; Pinghua Gong; Fei Wang 001; Guoliang Xue; Jieping Ye (SDM, 2017)

Polyadic Regression and its Application to Chemogenomics. - Ioakeim Perros; Fei Wang 001; Ping Zhang 016; Peter B. Walker; Richard W. Vuduc; Jyotishman Pathak; Jimeng Sun 001 (SDM, 2017)

Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions. - Ibrahim Abdelaziz; Achille Fokoue; Oktie Hassanzadeh; Ping Zhang 016; Mohammad Sadoghi (J. Web Semant., 2017)

Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. - Sanjoy Dey; Ping Zhang 016; Mohamed F. Ghalwash; Zach Shahn; Daby Sow (AMIA, 2018)

Estimating Personalized Drug Effects with Longitudinal Observational Data. - Sanjoy Dey; Ping Zhang 016; Kenney Ng (AMIA, 2018)

An Interpretable End-to-End Framework for Drug-Target Interaction Prediction Through Deep Neural Representation. - Kyle Yingkai Gao; Achille Fokoue; Heng Luo 002; Sanjoy Dey; Arun Iyengar; Ping Zhang 016 (AMIA, 2018)

A Trusted Healthcare Data Analytics Cloud Platform. - Arun Iyengar; Ashish Kundu; Upendra Sharma; Ping Zhang 016 (ICDCS, 2018)

Interpretable Drug Target Prediction Using Deep Neural Representation. - Kyle Yingkai Gao; Achille Fokoue; Heng Luo 002; Arun Iyengar; Sanjoy Dey; Ping Zhang 016 (IJCAI, 2018)

Cell-specific prediction and application of drug-induced gene expression . - Rachel Hodos; Ping Zhang 016; Hao-Chih Lee; Qiaonan Duan; Zichen Wang 002; Neil R. Clark; Avi Ma'ayan; Fei Wang 001; Brian A. Kidd; Jianying Hu; David A. Sontag; Joel Dudley (PSB, 2018)

Predicting adverse drug reactions through interpretable deep learning framework. - Sanjoy Dey; Heng Luo 002; Achille Fokoue; Jianying Hu; Ping Zhang 016 (BMC Bioinform., 2018)

Systematic analysis of drug combinations that mitigate adverse drug reactions. - J. Shim; Heng Luo 002; Ping Zhang 016; Ying Li 053 (IBM J. Res. Dev., 2018)

A Systematic Framework for Drug Repurposing based on Literature Mining. - Gaocai Dong; Ping Zhang 016; Jingya Yang; Dongdong Zhang; Jing Peng (BIBM, 2019)

Domain Knowledge Guided Deep Learning with Electronic Health Records. - Changchang Yin; Rongjian Zhao; Buyue Qian; Xin Lv; Ping Zhang 016 (ICDM, 2019)

PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data. - Sanjoy Dey; Ping Zhang 016; Daby Sow; Kenney Ng (KDD, 2019)

Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports. - Ruoqi Liu; Ping Zhang 016 (BMC Medical Informatics Decis. Mak., 2019)

Finding Causal Mechanistic Drug-Drug Interactions from Observational Data. - Sanjoy Dey; Ping Zhang 016; Mohamed F. Ghalwash; Chandramouli Maduri; Daby Sow; Zachary Shahn (AMIA, 2020)

Document Classification for COVID-19 Literature. - Bernal Jimenez Gutierrez; Jucheng Zeng; Dongdong Zhang; Ping Zhang 016; Yu Su 001 (EMNLP (Findings), 2020)

Estimating Individual Treatment Effects with Time-Varying Confounders. - Ruoqi Liu; Changchang Yin; Ping Zhang 016 (ICDM, 2020)

Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder. - Changchang Yin; Ruoqi Liu; Dongdong Zhang; Ping Zhang 016 (KDD, 2020)

Graph embedding on biomedical networks: methods, applications and evaluations. - Xiang Yue; Zhen Wang 041; Jingong Huang; Srinivasan Parthasarathy 001; Soheil Moosavinasab; Yungui Huang; Simon M. Lin; Wen Zhang 008; Ping Zhang 016; Huan Sun 001 (Bioinform., 2020)

Document Classification for COVID-19 Literature. - Bernal Jiménez Gutiérrez; Juncheng Zeng; Dongdong Zhang; Ping Zhang 016; Yu Su 001 (CoRR, 2020)

DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings. - Bortik Bandyopadhyay; Pranav Maneriker; Vedang Patel; Saumya Yashmohini Sahai; Ping Zhang 016; Srinivasan Parthasarathy 001 (CoRR, 2020)

When deep learning meets causal inference: a computational framework for drug repurposing from real-world data. - Ruoqi Liu; Lai Wei; Ping Zhang 016 (CoRR, 2020)

Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation. - Zicong Zhang; Kimerly A. Powell; Changchang Yin; Shilei Cao 001; Dani Gonzalez; Yousef Hannawi; Ping Zhang 016 (CoRR, 2020)

Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram. - Dongdong Zhang; Xiaohui Yuan; Ping Zhang 016 (CoRR, 2020)

An interpretable risk prediction model for healthcare with pattern attention. - Sundreen Asad Kamal; Changchang Yin; Buyue Qian; Ping Zhang 016 (BMC Medical Informatics Decis. Mak., 2020)

Combining structured and unstructured data for predictive models: a deep learning approach. - Dongdong Zhang; Changchang Yin; Jucheng Zeng; Xiaohui Yuan; Ping Zhang 016 (BMC Medical Informatics Decis. Mak., 2020)

Contrastive Attention for Automatic Chest X-ray Report Generation. - Fenglin Liu; Changchang Yin; Xian Wu 001; Shen Ge; Ping Zhang 016; Xu Sun 001 (ACL/IJCNLP (Findings), 2021)

TransICD: Transformer Based Code-Wise Attention Model for Explainable ICD Coding. - Biplob Biswas; Thai-Hoang Pham; Ping Zhang 016 (AIME, 2021)

Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. - Thai-Hoang Pham; Changchang Yin; Laxmi Mehta; Xueru Zhang; Ping Zhang 016 (ICDM, 2021)

Temporal Clustering with External Memory Network for Disease Progression Modeling. - Zicong Zhang; Changchang Yin; Ping Zhang 016 (ICDM, 2021)

Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases. - Qianlong Wen; Ruoqi Liu; Ping Zhang 016 (BMC Medical Informatics Decis. Mak., 2021)

A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data. - Ruoqi Liu; Lai Wei; Ping Zhang 016 (Nat. Mach. Intell., 2021)

A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing. - Thai-Hoang Pham; Yue Qiu 002; Jucheng Zeng; Lei Xie 006; Ping Zhang 016 (Nat. Mach. Intell., 2021)

A survival model generalized to regression learning algorithms. - Yuanfang Guan; Hongyang Li; Daiyao Yi; Dongdong Zhang; Changchang Yin; Keyu Li; Ping Zhang 016 (Nat. Comput. Sci., 2021)

An interpretable deep-learning model for early prediction of sepsis in the emergency department. - Dongdong Zhang; Changchang Yin; Katherine M. Hunold; Xiaoqian Jiang; Jeffrey M. Caterino; Ping Zhang 016 (Patterns, 2021)

NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone Segmentation. - Ruhan Liu; Mengyao Liu; Bin Sheng 001; Huating Li; Ping Li 016; Haitao Song 001; Ping Zhang 016; Lixin Jiang; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

DREAM: Domain Invariant and Contrastive Representation for Sleep Dynamics. - Seungyeon Lee 002; Thai-Hoang Pham; Ping Zhang 016 (ICDM, 2022)

Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. - Changchang Yin; Ruoqi Liu; Jeffrey M. Caterino; Ping Zhang 016 (KDD, 2022)

Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM. - Changchang Yin; Sayoko E. Moroi; Ping Zhang 016 (KDD, 2022)

FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery. - Thai-Hoang Pham; Lei Xie 006; Ping Zhang 016 (SDM, 2022)

DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. - Ruhan Liu; Xiangning Wang; Qiang Wu; Ling Dai; Xi Fang; Tao Yan; Jaemin Son; Shiqi Tang; Jiang Li 001; Zijian Gao; Adrian Galdran; J. M. Poorneshwaran; et al. (Patterns, 2022)

Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing. - Thai-Hoang Pham; Yue Qiu 002; Jiahui Liu; Steven Zimmer; Eric E. O'Neill; Lei Xie 006; Ping Zhang 016 (Patterns, 2022)

Mixed-Weight Neural Bagging for Detecting $m^6A$ Modifications in SARS-CoV-2 RNA Sequencing. - Ruhan Liu; Liang Ou; Bin Sheng 001; Pei Hao; Ping Li 016; Xiaokang Yang 001; Guangtao Xue; Lei Zhu 003; Yuyang Luo; Ping Zhang 016; Po Yang 001; Huating Li; et al. (IEEE Trans. Biomed. Eng., 2022)

Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder. - Seungyeon Lee 002; Ruoqi Liu; Wenyu Song; Ping Zhang 016 (ICDM, 2023)

Fairness and Accuracy under Domain Generalization. - Thai-Hoang Pham; Xueru Zhang; Ping Zhang 016 (ICLR, 2023)

DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images. - Bo Qian; Hao Chen 011; Xiangning Wang; Haoxuan Che; Gitaek Kwon; Jaeyoung Kim; Sungjin Choi; Seoyoung Shin; Felix Krause 002; Markus Unterdechler; Junlin Hou; Rui Feng 001; et al. (CoRR, 2023)

Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts. - Ruhan Liu; Jiajia Li 004; Yang Wen; Huating Li; Ping Zhang 016; Bin Sheng 001; David Dagan Feng (CoRR, 2023)

Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging. - Seungyeon Lee 002; Thai-Hoang Pham; Zhao Cheng; Ping Zhang 016 (CoRR, 2023)

Human-centered design and evaluation of AI-empowered clinical decision support systems: a systematic review. - Liuping Wang; Zhan Zhang 008; Dakuo Wang; Weidan Cao; Xiaomu Zhou; Ping Zhang 016; Jianxing Liu; Xiangmin Fan; Feng Tian 001 (Frontiers Comput. Sci., 2023)

A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach. - Thai-Hoang Pham; Changchang Yin; Laxmi Mehta; Xueru Zhang; Ping Zhang 016 (Knowl. Inf. Syst., 2023)

Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis. - Ruoqi Liu; Katherine M. Hunold; Jeffrey M. Caterino; Ping Zhang 016 (Nat. Mac. Intell., 2023)

TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis. - Ruhan Liu; Tianqin Wang; Huating Li; Ping Zhang 016; Jing Li; Xiaokang Yang 001; Dinggang Shen; Bin Sheng 001 (IEEE Trans. Medical Imaging, 2023)

Stable clinical risk prediction against distribution shift in electronic health records. - Seungyeon Lee 002; Changchang Yin; Ping Zhang 016 (Patterns, 2023)

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. - Ruoqi Liu; Lingfei Wu 001; Ping Zhang 016 (AAAI, 2024)

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. - Shao Zhang; Jianing Yu; Xuhai Xu; Changchang Yin; Yuxuan Lu 003; Bingsheng Yao; Melanie Tory; Lace M. K. Padilla; Jeffrey M. Caterino; Ping Zhang 016; Dakuo Wang (CHI, 2024)

Predictive Modeling with Temporal Graphical Representation on Electronic Health Records. - Jiayuan Chen 003; Changchang Yin; Yuanlong Wang; Ping Zhang 016 (IJCAI, 2024)

SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. - Changchang Yin; Pin-Yu Chen; Bingsheng Yao; Dakuo Wang; Jeffrey M. Caterino; Ping Zhang 016 (KDD, 2024)

Fine-Tuning is Fine, if Calibrated. - Zheda Mai; Arpita Chowdhury; Ping Zhang 016; Cheng-Hao Tu 001; Hong-You Chen; Vardaan Pahuja; Tanya Y. Berger-Wolf; Song Gao 001; Charles V. Stewart; Yu Su 001; Wei-Lun Chao (NeurIPS, 2024)

Non-stationary Domain Generalization: Theory and Algorithm. - Thai-Hoang Pham; Xueru Zhang; Ping Zhang 016 (UAI, 2024)

SSM-Net: Semi-supervised multi-task network for joint lesion segmentation and classification from pancreatic EUS images. - Jiajia Li 004; Pingping Zhang; Xia Yang; Lei Zhu 003; Teng Wang; Ping Zhang 016; Ruhan Liu; Bin Sheng 001; Kaixuan Wang (Artif. Intell. Medicine, 2024)

Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning. - Zishan Gu; Fenglin Liu; Changchang Yin; Ping Zhang 016 (CoRR, 2024)

MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context. - Zishan Gu; Changchang Yin; Fenglin Liu; Ping Zhang 016 (CoRR, 2024)

Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity. - Siyi Wu; Weidan Cao; Shihan Fu; Bingsheng Yao; Ziqi Yang; Changchang Yin; Varun Mishra 001; Daniel Addison; Ping Zhang 016; Dakuo Wang (CoRR, 2024)

Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition. - Zheda Mai; Ping Zhang 016; Cheng-Hao Tu 001; Hong-You Chen; Li Zhang 003; Wei-Lun Chao (CoRR, 2024)

CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity. - Siyi Wu; Weidan Cao; Shihan Fu; Bingsheng Yao; Ziqi Yang; Changchang Yin; Varun Mishra 001; Daniel Addison; Ping Zhang 016; Dakuo Wang (CoRR, 2024)

CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation. - Ruoqi Liu; Pin-Yu Chen; Ping Zhang 016 (Patterns, 2024)

DDE: Deep Dynamic Epidemiological Modeling for Infectious Illness Development Forecasting in Multi-level Geographic Entities. - Ruhan Liu; Jiajia Li 004; Yang Wen; Huating Li; Ping Zhang 016; Bin Sheng 001; David Dagan Feng (J. Heal. Informatics Res., 2024)

Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm. - Thai-Hoang Pham; Yuanlong Wang; Changchang Yin; Xueru Zhang; Ping Zhang 016 (AAAI, 2025)

CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Prediction of Cancer Treatment-Induced Cardiotoxicity. - Siyi Wu; Weidan Cao; Shihan Fu; Bingsheng Yao; Ziqi Yang; Changchang Yin; Varun Mishra 001; Daniel Addison; Ping Zhang 016; Dakuo Wang (CHI, 2025)

Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition. - Zheda Mai; Ping Zhang 016; Cheng-Hao Tu 001; Hong-You Chen; Quang-Huy Nguyen; Li Zhang 003; Wei-Lun Chao (CVPR, 2025)

A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data. - Seungyeon Lee 002; Ruoqi Liu; Feixiong Cheng; Ping Zhang 016 (KDD (1), 2025)

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction. - Changchang Yin; Shihan Fu; Bingsheng Yao; Thai-Hoang Pham; Weidan Cao; Dakuo Wang; Jeffrey M. Caterino; Ping Zhang 016 (KDD (1), 2025)

HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images. - Bo Qian; Xiangning Wang; Zhouyu Guan; Dawei Yang; An-ran Ran; Tingyao Li; Zheyuan Wang; Yang Wen; Xinming Shu; Jinyang Xie; Shichang Liu; Guanyu Xing; et al. (Vis. Comput., 2025)

More Modality, More AI: Exploring Design Opportunities of AI-Based Multi-modal Remote Monitoring Technologies for Early Detection of Mental Health Sequelae in Youth Concussion Patients. - Bingsheng Yao; Menglin Zhao; Yuling Sun; Weidan Cao; Changchang Yin; Stephen S. Intille; Xuhai Xu; Ping Zhang 016; Jingzhen Yang; Dakuo Wang (CoRR, 2025)

WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch. - Ying Lei; Yancheng Cao; Will Wang; Yuanzhe Dong; Changchang Yin; Weidan Cao; Ping Zhang 016; Jingzhen Yang; Bingsheng Yao; Yifan Peng 002; Chunhua Weng; Randy Auerbach; et al. (CoRR, 2025)

Biomedical Foundation Model: A Survey. - Xiangrui Liu; Yuanyuan Zhang; Yingzhou Lu; Changchang Yin; Xiaoling Hu; Xiaoou Liu; Lulu Chen; Sheng Wang; Alexander Rodriguez; Huaxiu Yao; Yezhou Yang; Ping Zhang 016; et al. (CoRR, 2025)

Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation. - Changchang Yin; Hong-You Chen; Wei-Lun Chao; Ping Zhang 016 (CoRR, 2025)

Revisiting semi-supervised learning in the era of foundation models. - Ping Zhang 016; Zheda Mai; Quang-Huy Nguyen; Wei-Lun Chao (CoRR, 2025)

Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting. - Fenglin Liu; Xian Wu 001; Jinfa Huang; Bang Yang; Kim Branson 001; Patrick Schwab; Lei A. Clifton; Ping Zhang 016; Jiebo Luo 001; Yefeng Zheng 001; David A. Clifton (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

MHFNet: A Multimodal Hybrid-Embedding Fusion Network for Automatic Sleep Staging. - Ruhan Liu; Jiajia Li 004; Yang Wen; Xian Huang; Bin Sheng 001; David Dagan Feng; Ping Zhang 016 (IEEE J. Biomed. Health Informatics, 2025)

SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification. - Seungyeon Lee 002; Ruoqi Liu; Wenyu Song; Lang Li 001; Ping Zhang 016 (ACM Trans. Intell. Syst. Technol., 2025)

Integrating Biological Knowledge for Robust Microscopy Image Profiling on De Novo Cell Lines. - Jiayuan Chen 003; Thai-Hoang Pham; Yuanlong Wang; Ping Zhang 016 (CoRR, 2025)

SurgWound-Bench: A Benchmark for Surgical Wound Diagnosis. - Jiahao Xu; Changchang Yin; Odysseas Chatzipanagiotou; Diamantis Tsilimigras; Kevin Clear; Bingsheng Yao; Dakuo Wang; Timothy Pawlik; Ping Zhang 016 (CoRR, 2025)