| 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 | 177 | 2016 |
| 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 | 96 | 2018 |
| 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 | 89 | 2017 |
| 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 | 52 | 2017 |
| 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, ... | 41 | 2020 |
| 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 | 33 | 2017 |
| Interpretable duplicate question detection models based on attention mechanism Q Zhou, X Liu, Q Wang Information Sciences 543, 259-272, 2020 | 27 | 2020 |
| 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 | 21 | 2016 |
| 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 | 17 | 2018 |
| 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 | 16 | 2021 |
| 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 | 14 | 2016 |
| 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 | 11 | 2018 |
| 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 | 11 | 2017 |
| 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 | 10 | 2021 |
| 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 | 10 | 2021 |
| 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 | 8 | 2021 |
| 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 | 4 | 2023 |
| 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 | 4 | 2022 |
| 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 | 4 | 2019 |
| 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 | 3 | 2019 |
Larisa ShwartzIBM T.J. Watson Research CenterVerified email at us.ibm.com
