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2020 – today

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2024
[j7]
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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]
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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
[i8]
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  - journals/corr/abs-2408-10276
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Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma:
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. CoRR abs/2408.10276 (2024)
2023
[j6]
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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]
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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]
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  - journals/corr/abs-2303-02668
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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]
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  - journals/corr/abs-2310-02520
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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]
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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]
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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]
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  - conf/bigdataconf/CheLWWXM21
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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]
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  - journals/corr/abs-2109-04533
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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]
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  - journals/corr/abs-2109-05612
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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]
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Kai Zhao, Houping Xiao, Arun Rai:
Toward Effective Mobile Promotion: A Survey of Mobile Prediction Techniques and Applications. AMCIS 2020
[c21]
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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]
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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]
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  - journals/corr/abs-2012-03292
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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

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2019
[j4]
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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]
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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]
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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]
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  - conf/bigdataconf/WangXM019
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Tianqi Wang, Houping Xiao, Fenglong Ma, Jing Gao:
IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation. IEEE BigData 2019: 677-682
2018
[j1]
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  - journals/ton/JinSXN18
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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]
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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]
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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]
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Cunxi Yu, Houping Xiao, Giovanni De Micheli:
Developing synthesis flows without human knowledge. DAC 2018: 50:1-50:6
[c15]
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Houping Xiao, Fei Wang, Fenglong Ma, Jing Gao:
eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors. ICDM 2018: 1326-1331
[c14]
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  - conf/mobihoc/MiaoLXJHS18
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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]
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  - journals/corr/abs-1804-05714
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Cunxi Yu, Houping Xiao, Giovanni De Micheli:
Developing Synthesis Flows Without Human Knowledge. CoRR abs/1804.05714 (2018)
[i1]
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  - journals/corr/abs-1810-04760
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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]
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  - conf/kdd/MaMXLGSZ17
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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]
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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]
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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]
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  - conf/cikm/ZhangLMXLGS16
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Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su:
Influence-Aware Truth Discovery. CIKM 2016: 851-860
[c9]
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  - conf/kdd/XiaoGWWSL16
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Houping Xiao, Jing Gao, Zhaoran Wang, Shiyu Wang, Lu Su, Han Liu:
A Truth Discovery Approach with Theoretical Guarantee. KDD 2016: 1925-1934
[c8]
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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]
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  - conf/mobihoc/JinSXN16
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Haiming Jin, Lu Su, Houping Xiao, Klara Nahrstedt:
INCEPTION: incentivizing privacy-preserving data aggregation for mobile crowd sensing systems. MobiHoc 2016: 341-350
[c6]
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  - conf/sensys/MengXSC16
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Chuishi Meng, Houping Xiao, Lu Su, Yun Cheng:
Tackling the Redundancy and Sparsity in Crowd Sensing Applications. SenSys 2016: 150-163
2015
[c5]
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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]
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  - conf/icdm/XiaoG15
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Houping Xiao, Jing Gao:
Multi-source Information Trustworthiness Analysis. ICDM Workshops 2015: 1600-1601
[c3]
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  - conf/sdm/XiaoLGWGFVT15
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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]
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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]
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  - conf/www/XiaoGTVB15
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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

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