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Qing Wang
Qing Wang
IBM Research
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
Online context-aware recommendation with time varying multi-armed bandit
C Zeng, Q Wang, S Mokhtari, T Li
In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
1602016
Online interactive collaborative filtering using multi-armed bandit with dependent arms
Q Wang, C Zeng, W Zhou, T Li, SS Iyengar, L Shwartz, GY Grabarnik
IEEE Transactions on Knowledge and Data Engineering 31 (8), 1569-1580, 2018
892018
MTNA: a neural multi-task model for aspect category classification and aspect term extraction on restaurant reviews
W Xue, W Zhou, T Li, Q Wang
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
802017
Star: A system for ticket analysis and resolution
W Zhou, W Xue, R Baral, Q Wang, C Zeng, T Li, J Xu, Z Liu, L Shwartz, ...
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
512017
Localization of Operational Faults in Cloud Applications by Mining Causal Dependencies in Logs using Golden Signals
P Aggarwal, A Gupta, P Mohapatra, S Nagar, A Mandal, Q Wang, ...
292020
Constructing the knowledge base for cognitive it service management
Q Wang, W Zhou, C Zeng, T Li, L Shwartz, GY Grabarnik
2017 IEEE International Conference on Services Computing (SCC), 410-417, 2017
282017
Interpretable duplicate question detection models based on attention mechanism
Q Zhou, X Liu, Q Wang
Information Sciences 543, 259-272, 2020
242020
Online Inference for Time-varying Temporal Dependency Discovery from Time Series
C Zeng, Q Wang, W Wang, T Li, L Shwartz
2016 IEEE International Conference on Big Data, 2016
212016
Online IT Ticket Automation Recommendation Using Hierarchical Multi-armed Bandit Algorithms
Q Wang, T Li, SS Iyengar, L Shwartz, GY Grabarnik
Proceedings of the 2018 SIAM International Conference on Data Mining, 657-665, 2018
172018
DI-DAP: An Efficient Disaster Information Delivery and Analysis Platform in Disaster Management
T Li, W Zhou, C Zeng, Q Wang, Q Zhou, D Wang, Y Huang, J Xu, W Wang, ...
In Proceedings of the 25th ACM Conference on Information and Knowledge …, 2016
142016
Evaluation of causal inference techniques for AIOps
V Arya, K Shanmugam, P Aggarwal, Q Wang, P Mohapatra, S Nagar
Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021
122021
AISTAR: an intelligent system for online it ticket automation recommendation
Q Wang, C Zeng, SS Iyengar, T Li, L Shwartz, GY Grabarnik
2018 IEEE International Conference on Big Data (Big Data), 1875-1884, 2018
112018
FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications
T Li, C Zeng, W Zhou, W Xue, Y Huang, Z Liu, Q Zhou, B Xia, Q Wang, ...
Knowledge and Information Systems 52, 411-443, 2017
112017
Causal modeling based fault localization in cloud systems using golden signals
P Aggarwal, S Nagar, A Gupta, L Shwartz, P Mohapatra, Q Wang, ...
2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 124-135, 2021
72021
Detecting Causal Structure on Cloud Application Microservices Using Granger Causality Models
Q Wang, L Shwartz, GY Grabarnik, V Arya, K Shanmugam
2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 558-565, 2021
72021
Fixme: Enhance software reliability with hybrid approaches in cloud
J Hwang, L Shwartz, Q Wang, R Batta, H Kumar, M Nidd
2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021
62021
Computing system event error corrective action recommendation
Q Wang, L Shwartz, J Hwang, S Parthasarathy, ME Nidd, F Bagehorn, ...
US Patent 11,314,575, 2022
42022
Leveraging ai in service automation modeling: From classical ai through deep learning to combination models
Q Wang, L Shwartz, GY Grabarnik, M Nidd, J Hwang
International Conference on Service-Oriented Computing, 186-201, 2019
42019
Learning Logical Representations from Natural Languages with Weak Supervision and Back Translation
K Hagopian, Q Wang, Y Gao, T Ma, L Wu
Knowledge Representation & Reasoning Meets Machine Learning Workshop at NeurIPS, 2019
32019
Fault injection based interventional causal learning for distributed applications
Q Wang, J Rios, S Jha, K Shanmugam, F Bagehorn, X Yang, R Filepp, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15738 …, 2023
22023
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