Houping Xiao

Orcid: 0000-0002-6981-8842

According to our database1, Houping Xiao authored at least 34 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Joint Maximum Likelihood Estimation Framework for Truth Discovery: A Unified Perspective.
IEEE Trans. Knowl. Data Eng., June, 2023

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation.
CoRR, 2023

Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022
Toward Quality of Information Aware Distributed Machine Learning.
ACM Trans. Knowl. Discov. Data, 2022

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.
CoRR, 2021

FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
FedSemi: An Adaptive Federated Semi-Supervised Learning Framework.
CoRR, 2020

Rare Disease Prediction by Generating Quality-Assured Electronic Health Records.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Towards Differentially Private Truth Discovery for Crowd Sensing Systems.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Toward Effective Mobile Promotion: A Survey of Mobile Prediction Techniques and Applications.
Proceedings of the 26th Americas Conference on Information Systems, 2020

2019
Privacy-Preserving Truth Discovery in Crowd Sensing Systems.
ACM Trans. Sens. Networks, 2019

Towards Confidence Interval Estimation in Truth Discovery.
IEEE Trans. Knowl. Data Eng., 2019

Incorporating medical code descriptions for diagnosis prediction in healthcare.
BMC Medical Informatics Decis. Mak., 2019

IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Incentive Mechanism for Privacy-Aware Data Aggregation in Mobile Crowd Sensing Systems.
IEEE/ACM Trans. Netw., 2018

Towards Data Poisoning Attacks in Crowd Sensing Systems.
Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018

eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors.
Proceedings of the IEEE International Conference on Data Mining, 2018

Developing synthesis flows without human knowledge.
Proceedings of the 55th Annual Design Automation Conference, 2018

KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Tackling the Redundancy and Sparsity in Crowd Sensing Applications.
Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016

INCEPTION: incentivizing privacy-preserving data aggregation for mobile crowd sensing systems.
Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016

A Truth Discovery Approach with Theoretical Guarantee.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Influence-Aware Truth Discovery.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Temporal Multi-View Inconsistency Detection for Network Traffic Analysis.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems.
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Multi-source Information Trustworthiness Analysis.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

DRN: Bringing Greedy Layer-Wise Training into Time Dimension.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015


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