Houping Xiao
Home
Awards
Research
Google Scholar Profile
SSRN Profile
Publications
Fundings
Projects
Fintech
Truth Discovery & Crowdsourcing
Business Analytics
Educational Psychometrics
Professional Activities
Services
Teaching
Database Management
Research Methods
Machine Learning
Links
Institute for Insight
MSDA Program
DML@Purdue

Houping Xiao - Publications

2025
"Toward Precision Stroke Rehabilitation: An Integrated Causal Machine Learning and Clinician Feedback Approach"
Aaron Baird, Houping Xiao, Yusen Xia, Chloe Sellers, Katheryn Metzger, Karen Patterson, Liv Nyankori, and Raeda Aderson
JAMIA Open, Accepted, 2025.
Stroke Rehabilitation Independence Machine Learning Clinician Feedback
"Mobile Analytics Techniques: Survey, Evaluation, and Guidelines"
Kai Zhao, Houping Xiao, Arun Rai, and Jeongmin Kim
ACM Transactions on Management Information Systems, Accepted, 2025.
Machine Learning Survey and Overview Computing Methodologies Location Based Service
"Resolving Conflicts in Crowds: A Earnings Forecasts Application"
Houping Xiao and Shiyu Wang
INFORMS Journal on Data Science, Accepted, 2025.
Machine Learning Optimization Analyst Forecasts Crowd Wisdom
"A General Dynamic Learning Model Framework for Cognitive Diagnosis"
Zichu Liu, Shiyu Wang, Houping Xiao, Shumei Zhang, and Tao Qiu
British Journal of Mathematical and Statistical Psychology, 2025.
Dynamic Learning Cognitive Diagnosis Educational Psychology
2024
"Asymmetric Mutual Learning for Decentralized Federated Medical Imaging"
Jiaqi Wang, Houping Xiao, and Fenglong Ma
ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) (Oral Presentation), 2024.
Health Care Federated Learning Mutual Learning Artificial Intelligence
"FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models"
Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, and Fenglong Ma
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) (Main), 2024.
Health Care Federated Learning Multitask Multimodal Learning Artificial Intelligence
"Drivers of Stroke Independence During Inpatient Rehabilitation Care: Causal Forest Modeling"
Anderson, Raeda K., Chloe Sellers, Yusen Xia, Aaron Baird, and Houping Xiao
American Congress of Rehabilitation Medicine Conference. Dallas, Texas. (October – November) (ACRM) (Poster), 2024.
Health Care Causal Inference Double Machine Learning Stroke and REhabilitation
"Spinal Cord Injury Inpatient Recovery: Sequence Modeling with Emphasis on Physical and Occupational Therapy"
Anderson, Raeda K., Aaron Baird, Chloe Sellers, Péter Molnár, Houping Xiao, and Yusen Xia
American Congress of Rehabilitation Medicine Conference. Dallas, Texas. (October – November) (ACRM) (Poster), 2024.
Health Care Sequence modeling Rehabilitation
Digital Product Performance Team Composition Graph Network Analysis Machine Learning Interpretability Interpretable Machine Learning
"A Two-Step Item Bank Calibration Strategy based on 1-bit Matrix Completion for Small-Scale Computerized Adaptive Testing"
Yawei Shen, Shiyu Wang, and Houping Xiao
British Journal of Mathematical and Statistical Psychology, 2024.
Educational Psychology Machine Learning Matrix Completion Small Big Analysis Computerized Adaptive Testing
"MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation"
Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, and Fenglong Ma
SIAM International Conference on Data Mining (SDM), 2024.
Health Risk Prediction EHR Diffusion Model
2023
"Charting By Machines"
Scott Murray, Yusen Xia, and Houping Xiao
Journal of Financial Economics, 2023.
Codes Videos Slides Deep Learning CNN LSTM Big Data Efficient Market Hypothesis Charting Cross Section of Stock Returns
"Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT"
Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, and Fenglong Ma
SIAM International Conference on Data Mining (SDM), 2023.
Federated Learning Semi-Supervised learning Pseudo Labeling
2022
"A Joint Maximum Likelihood Estimation Framework for Truth Discovery: A Unified Perspective"
Houping Xiao and Shiyu Wang
IEEE Transactions on Knowledge and Data Engineering, 2022.
Truth Discovery Crowdsourcing Joint Maximum Likelihood Estimation Profile Likelihood Estimation Asymptotic Consistency
"Toward Quality of Information Aware Distributed Machine Learning"
Houping Xiao and Shiyu Wang
ACM Transactions on Knowledge Discovery from Data, 2022.
Truth Discovery Distributed Learning Machine Learning Quality of Information Artificial Intelligence
2021
"FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning"
Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao and Fenglong Ma,
IEEE International Conference on Big Data (Big Data), 2021.
Federated Learning Semi-Supervised learning Pseudo Labeling
"Adaptive Weight Estimation of Latent Ability: Application to Computerized Adaptive Testing With Response Revision"
Shiyu Wang, Houping Xiao, and Allan Cohen
Journal of Educational and Behavioral Statistics, 2021.
Educational Psychology Machine Learning Adaptive Weight Estimation Robust Estimation Computerized Adaptive Testing Response Revision
"FedCon: A Contrastive Framework for Federated Semi-Supervised Learning"
Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao and Fenglong Ma
Preprint arXiv, 2021.
Federated Learning Semi-Supervised learning Contrastive Labeling
"Can Machines Understand Human Decisions? Dissecting Stock Forecasting Skill"
Sean Cao, Xuxi Guo, Baozhong Yang, and Houping Xiao
Semi-finalist of the FMA 2021 Best Paper in FinTech, 2021.
Slides Deep Learning CNN Big Data Artificial Intelligence Analyst Forecast Analyst Skill Crowd Wisdom
Slides Machine Learning Textual Analysis Natural Language Processing Artificial Intelligence Sentiment Analysis Conference Calls
2020
"Fedsiam: Towards adaptive federated semi-supervised learning"
Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinwe Wu, Houping Xiao and Fenglong Ma
Preprint arXiv, 2020.
Federated Learning Semi-Supervised learning No-IID
"Towards differentially private truth discovery for crowd sensing systems"
Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, and Bolin Ding
IEEE International Conference on Distributed Computing Systems (ICDCS), 2020.
Truth Discovery Differential Privacy Data Aggregation
"Toward Effective Mobile Promotion: A Survey of Mobile Prediction Techniques and Applications"
Kai Zhao, Houping Xiao, and Arun Rai
AMCIS Data Science and Analytics for Decision Support (SIGDSA), 2020.
Survey Mobilie Promotion Mobility Predictive Models
"Rare Disease Prediction by Generating Quality-Assured Electronic Health Records"
Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, and Jing Zhou
SIAM International Conference on Data Mining (SDM), 2020.
Data Mining Deep Learning Generative Model Reinforcement Learning Health Care EHR
2019
"IProWA: A novel probabilistic graphical model for crowdsourcing aggregation"
Tianqi Wang, Houping Xiao, Fenglong Ma, and Jing Gao
IEEE International Conference on Big Data (Big Data), 2019.
Data Mining Crowdsourcing Item Parameter Estimation Probabilistic Graphic Model
"Incorporating medical code descriptions for diagnosis prediction in healthcare"
Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, and Jing Gao
BMC Medical Informatics and Decision Making, 2019.
Healthcare Informatics Diagnosis Prediction Deep Learning Medical Code Embeddings
"Privacy-preserving truth discovery in crowd sensing systems"
Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, and Kui Ren
ACM Transactions on Sensor Networks, 2019.
Crowd Sensing Truth Discovery Privacy-Preserving
Data Mining Machine Learning Anomaly Detection Classification
2018
"Kame: Knowledge-based attention model for diagnosis prediction in healthcare"
Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, and Jing Gao
ACM International Conference on Information and Knowledge Management (CIKM), 2018.
Healthcare Informatics Medical Knowledge Graph Knowledge Attention Mechanism Data Mining EHR
"A general framework for diagnosis prediction via incorporating medical code descriptions"
Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, and Jing Gao
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018.
Medical Diagnostic Imaging Predictive Models Recurrent Neural Networks Feature Extraction
"Towards confidence interval estimation in truth discovery"
Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, and Aidong Zhang
IEEE Transactions on Knowledge and Data Engineering, 2018.
Truth Discovery Data Mining Confidence Interval Estimation Bootstrapping
"Incentive mechanism for privacy-aware data aggregation in mobile crowd sensing systems"
Haiming Jin, Lu Su, Houping Xiao, and Klara Nahrstedt
IEEE/ACM Transactions on Networking, 2018.
Machine Learning Incentive Mechanism Data Aggregation Privacy Preservation Mobile Crowd Sensing
"Towards data poisoning attacks in crowd sensing systems"
Chenglin Miao, Qi Li, Houping Xiao, Wenjun Jiang, Mengdi Huai, and Lu Su
ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2018.
Crowd Sensing Data Mining Truth Discovery Data Posioning
"Developing synthesis flows without human knowledge"
Cunxi Yu, Houping Xiao, and Giovanni De Micheli
Annual Design Automation Conference (DAC), 2018.
Deep Learning CNN Synthesis FLow Design Human Knowledge
"eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors"
Houping Xiao, Fei Wang, Fenglong Ma, and Jing Gao
IEEE International Conference on Data Mining (ICDM), 2018.
Tensor Decomposition Tucker Decomposition Low Rankness Online Learning
"Multi-sourced information trustworthiness analysis: Applications and theory", 2018.
State University of New York at Buffalo.
Best Dissertation Award, CSE@SUNY Buffalo.
Multi-sourced Learning Truth Discovery Crowdsourcing Data Mining Machine Learning
Before 2018
"Learning temporal state of diabetes patients via combining behavioral and demographic data"
Houping Xiao, Jing Gao, Long Vu, and Deepak Turaga
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
Healthcare Informatics Hidden Markov Model Probablistic Graph Model Data Mining
"Unsupervised discovery of drug side-effects from heterogeneous data sources"
Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, and Aidong Zhang
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
Healthcare Informatics Truth Discovery Probablistic Graph Model Drug Side-effects
"Detecting malicious behavior in computer networks via cost-sensitive and connectivity constrained classification"
Houping Xiao, Jing Gao, Long Vu, and Deepak Turaga
SIAM International Conference on Data Mining (SDM), 2017.
Anomaly Detection Optimization Stochastic Gradient Descent
"Unsupervised multisource temporal anomaly detection"
Alain Biem, Jing Gao, Long Vu, Deepak Turaga, and Houping Xiao
United States Patent Application Publication, 2017.
Multi-sourced learning Anomaly Detection
"Tackling the redundancy and sparsity in crowd sensing applications"
Chuishi Meng, Houping Xiao, Lu Su, and Yun Cheng
ACM Conference on Embedded Network Sensor Systems (SenSys), 2017.
Crowd Sensing Data Sparsity Matrix Factorization Truth Discovery
"Influence-aware truth discovery"
Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, and Lu Su
ACM International on Conference on Information and Knowledge Management (CIKM), 2016.
Truth Discovery Unsupervised Learning Probablistic Graph Model
"Inception: Incentivizing privacy-preserving data aggregation for mobile crowd sensing systems"
Haiming Jin, Lu Su, Houping Xiao, and Klara Nahrstedt
ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2016.
Crowd Sensing Incentive Mechanism Data Aggregation Truth Discovery Privacy
"Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach"
Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, and Aidong Zhang
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
Truth Discovery Data Veracity Optimization Bootstrapping
"A Truth Discovery Approach with Theoretical Guarantee"
Houping Xiao Jing Gao, Zhaoran Wang, Shiyu Wang, Lu Su, and Han Liu
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
Truth Discovery Mixture Model Asymptotic Consistency
"DRN: Bringing Greedy Layer-Wise Training into Time Dimension"
Xiaoyi Li, Xiaowei Jia, Hui Li, Houping Xiao, Jing Gao, and Aidong Zhang
IEEE International Conference on Data Mining (ICDM), 2015.
Deep Recurrent Network Sequential Data Modeling
"Multi-source information trustworthiness analysis"
Houping Xiao and Jing Gao
IEEE International Conference on Data Mining Workshop (ICDMW), 2015.
Multi-sourced Learning Truth Discovery Trustworthiness Analysis
"Cloud-enabled privacy-preserving truth discovery in crowd sensing systems"
Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, and Kui Ren
ACM Conference on Embedded Networked Sensor Systems (SenSys), 2015.
Crowd Sensing Truth Discovery Privacy Cloud
"Believe it today or tomorrow? detecting untrustworthy information from dynamic multi-source data"
Houping Xiao, Jing Gao, Long Vu, and Deepak Turaga
SIAM International Conference on Data Mining (SDM), 2015.
Multi-sourced Data Tensor Decomposition Sparsity Gradient Descent
"Temporal multi-view inconsistency detection for network traffic analysis"
Houping Xiao, Jing Gao, Deepak S Turaga, Long H Vu, and Alain Biem
International Conference on World Wide Web (WWW), 2015.
Multi-sourced Data Tensor Decomposition Gradient Descent