Folgen
Qi Li (Quinn)
Qi Li (Quinn)
Bestätigte E-Mail-Adresse bei iastate.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation
Q Li, Y Li, J Gao, B Zhao, W Fan, J Han
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
5252014
A Survey on Truth Discovery
Y Li, J Gao, C Meng, Q Li, L Su, B Zhao, W Fan, J Han
ACM SIGKDD Explorations Newsletter 17 (12), 1-16, 2015
5082015
A confidence-aware approach for truth discovery on long-tail data
Q Li, Y Li, J Gao, L Su, B Zhao, M Demirbas, W Fan, J Han
Proceedings of the VLDB Endowment 8 (4), 425-436, 2014
3982014
Faitcrowd: Fine grained truth discovery for crowdsourced data aggregation
F Ma, Y Li, Q Li, M Qiu, J Gao, S Zhi, L Su, B Zhao, H Ji, J Han
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
2422015
On the discovery of evolving truth
Y Li, Q Li, J Gao, L Su, B Zhao, W Fan, J Han
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
1852015
Crowdsourcing for Multiple-Choice Question Answering.
BI Aydin, YS Yilmaz, Y Li, Q Li, J Gao, M Demirbas
AAAI, 2946-2953, 2014
1612014
Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery
Y Li, Q Li, J Gao, L Su, B Zhao, W Fan, J Han
IEEE Transactions on Knowledge and Data Engineering 28 (8), 1986 - 1999, 2016
1072016
Towards Data Poisoning Attacks in Crowd Sensing Systems
C Miao, Q Li, H Xiao, W Jiang, M Huai, L Su
Proceedings of the Eighteenth ACM International Symposium on Mobile Ad Hoc …, 2018
922018
Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach.
H Xiao, J Gao, Q Li, F Ma, L Su, Y Feng, A Zhang
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
702016
Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing
C Miao, Q Li, L Su, M Huai, W Jiang, J Gao
Proceedings of the 2018 World Wide Web Conference, 13-22, 2018
622018
Generalized decision aggregation in distributed sensing systems
L Su, Q Li, S Hu, S Wang, J Gao, H Liu, TF Abdelzaher, J Han, X Liu, ...
2014 IEEE Real-Time Systems Symposium, 1-10, 2014
622014
Crowdsourcing High Quality Labels with a Tight Budget
Q Li, F Ma, J Gao, L Su, CJ Quinn
Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016
602016
Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources
A Ma, Fenglong and Meng, Chuishi and Xiao, Houping and Li, Qi and Gao, Jing ...
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
512017
An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery
Y Li, C Miao, L Su, J Gao, Q Li, B Ding, Z Qin, K Ren
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
492018
Truth discovery and crowdsourcing aggregation: a unified perspective
J Gao, Q Li, B Zhao, W Fan, J Han
Proceedings of the VLDB Endowment 8 (12), 2048-2049, 2015
492015
Higitclass: Keyword-driven hierarchical classification of github repositories
Y Zhang, FF Xu, S Li, Y Meng, X Wang, Q Li, J Han
2019 IEEE International Conference on Data Mining (ICDM), 876-885, 2019
482019
Reliable medical diagnosis from crowdsourcing: Discover trustworthy answers from non-experts
Y Li, N Du, C Liu, Y Xie, W Fan, Q Li, J Gao, H Sun
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
412017
Data Poisoning Attacks and Defenses to Crowdsourcing Systems
M Fang, M Sun, Q Li, NZ Gong, J Tian, J Liu
Proceedings of the Web Conference 2021, 969-980, 2021
362021
Extracting medical knowledge from crowdsourced question answering website
Y Li, C Liu, N Du, W Fan, Q Li, J Gao, C Zhang, H Wu
IEEE Transactions on Big Data 6 (2), 309-321, 2016
362016
Open Information Extraction with Meta-pattern Discovery in Biomedical Literature
X Wang, Y Zhang, Q Li, Y Chen, J Han
Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018
322018
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20