DRN: Bringing Greedy Layer-Wise Training into Time Dimension. - Xiaoyi Li; Xiaowei Jia; Hui Li; Houping Xiao; Jing Gao 004; Aidong Zhang (ICDM, 2015)

Multi-source Information Trustworthiness Analysis. - Houping Xiao; Jing Gao 004 (ICDM Workshops, 2015)

Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data. - Houping Xiao; Yaliang Li; Jing Gao 004; Fei Wang; Liang Ge; Wei Fan 001; Long H. Vu; Deepak S. Turaga (SDM, 2015)

Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems. - Chenglin Miao; Wenjun Jiang; Lu Su 001; Yaliang Li; Suxin Guo; Zhan Qin; Houping Xiao; Jing Gao 004; Kui Ren 001 (SenSys, 2015)

Temporal Multi-View Inconsistency Detection for Network Traffic Analysis. - Houping Xiao; Jing Gao 004; Deepak S. Turaga; Long H. Vu; Alain Biem (WWW (Companion Volume), 2015)

Influence-Aware Truth Discovery. - Hengtong Zhang; Qi Li 012; Fenglong Ma; Houping Xiao; Yaliang Li; Jing Gao 004; Lu Su 001 (CIKM, 2016)

Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. - Houping Xiao; Jing Gao 004; Qi Li 012; Fenglong Ma; Lu Su 001; Yunlong Feng; Aidong Zhang (KDD, 2016)

A Truth Discovery Approach with Theoretical Guarantee. - Houping Xiao; Jing Gao 004; Zhaoran Wang 001; Shiyu Wang; Lu Su 001; Han Liu 001 (KDD, 2016)

INCEPTION: incentivizing privacy-preserving data aggregation for mobile crowd sensing systems. - Haiming Jin; Lu Su 001; Houping Xiao; Klara Nahrstedt (MobiHoc, 2016)

Tackling the Redundancy and Sparsity in Crowd Sensing Applications. - Chuishi Meng; Houping Xiao; Lu Su 001; Yun Cheng (SenSys, 2016)

Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources. - Fenglong Ma; Chuishi Meng; Houping Xiao; Qi Li 012; Jing Gao 004; Lu Su 001; Aidong Zhang (KDD, 2017)

Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data. - Houping Xiao; Jing Gao 004; Long H. Vu; Deepak S. Turaga (KDD, 2017)

Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification. - Houping Xiao; Jing Gao 004; Long H. Vu; Deepak S. Turaga (SDM, 2017)

A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions. - Fenglong Ma; Yaqing Wang 001; Houping Xiao; Ye Yuan 006; Radha Chitta; Jing Zhou; Jing Gao 004 (BIBM, 2018)

KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare. - Fenglong Ma; Quanzeng You; Houping Xiao; Radha Chitta; Jing Zhou; Jing Gao 004 (CIKM, 2018)

Developing synthesis flows without human knowledge. - Cunxi Yu; Houping Xiao; Giovanni De Micheli (DAC, 2018)

eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors. - Houping Xiao; Fei Wang; Fenglong Ma; Jing Gao 004 (ICDM, 2018)

Towards Data Poisoning Attacks in Crowd Sensing Systems. - Chenglin Miao; Qi Li 012; Houping Xiao; Wenjun Jiang; Mengdi Huai; Lu Su 001 (MobiHoc, 2018)

Incentive Mechanism for Privacy-Aware Data Aggregation in Mobile Crowd Sensing Systems. - Haiming Jin; Lu Su 001; Houping Xiao; Klara Nahrstedt (IEEE/ACM Trans. Netw., 2018)

IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation. - Tianqi Wang; Houping Xiao; Fenglong Ma; Jing Gao 004 (IEEE BigData, 2019)

Incorporating medical code descriptions for diagnosis prediction in healthcare. - Fenglong Ma; Yaqing Wang 001; Houping Xiao; Ye Yuan 006; Radha Chitta; Jing Zhou; Jing Gao 004 (BMC Medical Informatics Decis. Mak., 2019)

Towards Confidence Interval Estimation in Truth Discovery. - Houping Xiao; Jing Gao 004; Qi Li 012; Fenglong Ma; Lu Su 001; Yunlong Feng; Aidong Zhang (IEEE Trans. Knowl. Data Eng., 2019)

Privacy-Preserving Truth Discovery in Crowd Sensing Systems. - Chenglin Miao; Wenjun Jiang; Lu Su 001; Yaliang Li; Suxin Guo; Zhan Qin; Houping Xiao; Jing Gao 004; Kui Ren 001 (ACM Trans. Sens. Networks, 2019)

Toward Effective Mobile Promotion: A Survey of Mobile Prediction Techniques and Applications. - Kai Zhao; Houping Xiao; Arun Rai (AMCIS, 2020)

Towards Differentially Private Truth Discovery for Crowd Sensing Systems. - Yaliang Li; Houping Xiao; Zhan Qin; Chenglin Miao; Lu Su 001; Jing Gao 004; Kui Ren 001; Bolin Ding (ICDCS, 2020)

Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. - Fenglong Ma; Yaqing Wang 001; Jing Gao 004; Houping Xiao; Jing Zhou (SDM, 2020)

FedSemi: An Adaptive Federated Semi-Supervised Learning Framework. - Zewei Long; Liwei Che; Yaqing Wang 001; Muchao Ye; Junyu Luo 001; Jinze Wu; Houping Xiao; Fenglong Ma (CoRR, 2020)

FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. - Liwei Che; Zewei Long; Jiaqi Wang 002; Yaqing Wang 001; Houping Xiao; Fenglong Ma (IEEE BigData, 2021)

FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. - Zewei Long; Jiaqi Wang 002; Yaqing Wang 001; Houping Xiao; Fenglong Ma (CoRR, 2021)

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. - Muchao Ye; Junyu Luo 001; Guanjie Zheng; Cao Xiao; Houping Xiao; Ting Wang 006; Fenglong Ma (BIBM, 2022)

Toward Quality of Information Aware Distributed Machine Learning. - Houping Xiao; Shiyu Wang (ACM Trans. Knowl. Discov. Data, 2022)

Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. - Jiaqi Wang 002; Shenglai Zeng; Zewei Long; Yaqing Wang 001; Houping Xiao; Fenglong Ma (SDM, 2023)

A Joint Maximum Likelihood Estimation Framework for Truth Discovery: A Unified Perspective. - Houping Xiao; Shiyu Wang (IEEE Trans. Knowl. Data Eng., 2023)

Asymmetric Mutual Learning for Decentralized Federated Medical Imaging. - Jiaqi Wang 002; Houping Xiao; Fenglong Ma (BCB, 2024)

FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. - Xiaochen Wang 002; Jiaqi Wang 002; Houping Xiao; Jinghui Chen; Fenglong Ma (EMNLP, 2024)

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. - Yuan Zhong 002; Suhan Cui; Jiaqi Wang 002; Xiaochen Wang 002; Ziyi Yin 003; Yaqing Wang 001; Houping Xiao; Mengdi Huai; Ting Wang 006; Fenglong Ma (SDM, 2024)

Predicting digital product performance with team composition features derived from a graph network. - Houping Xiao; Yusen Xia; Aaron Baird (Decis. Support Syst., 2024)