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Houping Xiao
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2020 – today
- 2024
- [j7]Houping Xiao, Yusen Xia, Aaron Baird
:
Predicting digital product performance with team composition features derived from a graph network. Decis. Support Syst. 183: 114266 (2024) - [c26]Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma:
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. SDM 2024: 499-507 - 2023
- [j6]Houping Xiao
, Shiyu Wang
:
A Joint Maximum Likelihood Estimation Framework for Truth Discovery: A Unified Perspective. IEEE Trans. Knowl. Data Eng. 35(6): 5521-5533 (2023) - [c25]Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma:
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. SDM 2023: 496-504 - [i7]Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma:
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. CoRR abs/2303.02668 (2023) - [i6]Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma:
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. CoRR abs/2310.02520 (2023) - 2022
- [j5]Houping Xiao
, Shiyu Wang
:
Toward Quality of Information Aware Distributed Machine Learning. ACM Trans. Knowl. Discov. Data 16(6): 109:1-109:28 (2022) - [c24]Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma:
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. BIBM 2022: 1777-1780 - 2021
- [c23]Liwei Che
, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. IEEE BigData 2021: 715-724 - [i5]Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. CoRR abs/2109.04533 (2021) - [i4]Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. CoRR abs/2109.05612 (2021) - 2020
- [c22]Kai Zhao, Houping Xiao, Arun Rai:
Toward Effective Mobile Promotion: A Survey of Mobile Prediction Techniques and Applications. AMCIS 2020 - [c21]Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding:
Towards Differentially Private Truth Discovery for Crowd Sensing Systems. ICDCS 2020: 1156-1166 - [c20]Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou:
Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. SDM 2020: 514-522 - [i3]Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma:
FedSemi: An Adaptive Federated Semi-Supervised Learning Framework. CoRR abs/2012.03292 (2020)
2010 – 2019
- 2019
- [j4]Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao:
Incorporating medical code descriptions for diagnosis prediction in healthcare. BMC Medical Informatics Decis. Mak. 19-S(6): 267 (2019) - [j3]Houping Xiao
, Jing Gao, Qi Li, Fenglong Ma, Lu Su
, Yunlong Feng, Aidong Zhang
:
Towards Confidence Interval Estimation in Truth Discovery. IEEE Trans. Knowl. Data Eng. 31(3): 575-588 (2019) - [j2]Chenglin Miao
, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren:
Privacy-Preserving Truth Discovery in Crowd Sensing Systems. ACM Trans. Sens. Networks 15(1): 9:1-9:32 (2019) - [c19]Tianqi Wang, Houping Xiao, Fenglong Ma, Jing Gao:
IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation. IEEE BigData 2019: 677-682 - 2018
- [j1]Haiming Jin
, Lu Su
, Houping Xiao
, Klara Nahrstedt
:
Incentive Mechanism for Privacy-Aware Data Aggregation in Mobile Crowd Sensing Systems. IEEE/ACM Trans. Netw. 26(5): 2019-2032 (2018) - [c18]Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao:
A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions. BIBM 2018: 1070-1075 - [c17]Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao:
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare. CIKM 2018: 743-752 - [c16]Cunxi Yu
, Houping Xiao, Giovanni De Micheli:
Developing synthesis flows without human knowledge. DAC 2018: 50:1-50:6 - [c15]Houping Xiao, Fei Wang, Fenglong Ma, Jing Gao:
eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors. ICDM 2018: 1326-1331 - [c14]Chenglin Miao
, Qi Li, Houping Xiao, Wenjun Jiang, Mengdi Huai, Lu Su:
Towards Data Poisoning Attacks in Crowd Sensing Systems. MobiHoc 2018: 111-120 - [i2]Cunxi Yu, Houping Xiao, Giovanni De Micheli:
Developing Synthesis Flows Without Human Knowledge. CoRR abs/1804.05714 (2018) - [i1]Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding:
Towards Differentially Private Truth Discovery for Crowd Sensing Systems. CoRR abs/1810.04760 (2018) - 2017
- [c13]Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang:
Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources. KDD 2017: 967-976 - [c12]Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga:
Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data. KDD 2017: 2081-2089 - [c11]Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga:
Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification. SDM 2017: 117-125 - 2016
- [c10]Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su:
Influence-Aware Truth Discovery. CIKM 2016: 851-860 - [c9]Houping Xiao, Jing Gao, Zhaoran Wang, Shiyu Wang
, Lu Su, Han Liu:
A Truth Discovery Approach with Theoretical Guarantee. KDD 2016: 1925-1934 - [c8]Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang:
Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. KDD 2016: 1935-1944 - [c7]Haiming Jin, Lu Su, Houping Xiao, Klara Nahrstedt:
INCEPTION: incentivizing privacy-preserving data aggregation for mobile crowd sensing systems. MobiHoc 2016: 341-350 - [c6]Chuishi Meng, Houping Xiao, Lu Su, Yun Cheng:
Tackling the Redundancy and Sparsity in Crowd Sensing Applications. SenSys 2016: 150-163 - 2015
- [c5]Xiaoyi Li, Xiaowei Jia, Hui Li, Houping Xiao, Jing Gao, Aidong Zhang:
DRN: Bringing Greedy Layer-Wise Training into Time Dimension. ICDM 2015: 859-864 - [c4]Houping Xiao, Jing Gao:
Multi-source Information Trustworthiness Analysis. ICDM Workshops 2015: 1600-1601 - [c3]Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long H. Vu, Deepak S. Turaga:
Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data. SDM 2015: 397-405 - [c2]Chenglin Miao
, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren
:
Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems. SenSys 2015: 183-196 - [c1]Houping Xiao, Jing Gao, Deepak S. Turaga, Long H. Vu, Alain Biem:
Temporal Multi-View Inconsistency Detection for Network Traffic Analysis. WWW (Companion Volume) 2015: 455-465
Coauthor Index
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last updated on 2024-08-23 18:30 CEST by the dblp team
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