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Kun Qian

A Survey of the State of Explainable AI for Natural Language Processing
2020 · Marina Danilevsky, Kun Qian, et al. · Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP) · 240
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Low-resource Deep Entity Resolution with Transfer and Active Learning
2019 · Jungo Kasai, Kun Qian, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 134
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Domain Adaptive Dialog Generation via Meta Learning
2019 · Kun Qian, Zhou Yu · Annual Meeting of the Association for Computational Linguistics (ACL) · 134
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Who needs to know what, when?: Broadening the Explainable AI (XAI) Design Space by Looking at Explanations Across the AI Lifecycle
2021 · Shipi Dhanorkar, Christine T. Wolf, et al. · Designing Interactive Systems Conference · 119
A Survey of the State of Explainable AI for Natural Language Processing
2020 · Danilevsky, Marina, Qian, Kun, et al. · arXiv (Cornell University) · 108
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Urban-scale energy matching optimization with smart EV charging and V2G in a net-zero energy city powered by wind and solar energy
2024 · Reza Fachrizal, Kun Qian, et al. · eTransportation · 94
Active Learning for Large-Scale Entity Resolution
2017 · Kun Qian, Lucian Popa, et al. · 71
How to Build User Simulators to Train RL-based Dialog Systems
2019 · Weiyan Shi, Kun Qian, et al. · 42
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Approximation Algorithms for Schema-Mapping Discovery from Data Examples
2017 · Balder Ten Cate, Phokion G. Kolaitis, et al. · ACM Transactions on Database Systems · 27
SystemER
2019 · Kun Qian, Lucian Popa, et al. · Proceedings of the VLDB Endowment · 26
End-to-End Trainable Non-Collaborative Dialog System
2020 · Yu Li, Kun Qian, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 25
Answering Complex Questions by Combining Information from Curated and Extracted Knowledge Bases
2020 · Nikita Bhutani, Xinyi Zheng, et al. · 25
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XNLP: A Living Survey for XAI Research in Natural Language Processing
2021 · Kun Qian, Marina Danilevsky, et al. · ACM International Conference on Intelligent User Interfaces (IUI) · 21
Active Learning of GAV Schema Mappings
2018 · Balder ten Cate, Phokion G. Kolaitis, et al. · ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS) · 21
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Explainability for Natural Language Processing
2021 · Marina Danilevsky, Shipi Dhanorkar, et al. · 20
Annotation Inconsistency and Entity Bias in MultiWOZ
2021 · Kun Qian, Ahmad Beirami, et al. · Annual Meeting of the Special Interest Group on Discourse and Dialogue · 16
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Learning-Based Methods with Human-in-the-Loop for Entity Resolution
2019 · Sairam Gurajada, Lucian Popa, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 10
Exploiting Structure in Representation of Named Entities using Active Learning.
2018 · Nikita Bhutani, Kun Qian, et al. · International Conference on Computational Linguistics · 10
Database Search Results Disambiguation for Task-Oriented Dialog Systems
2022 · Kun Qian, Satwik Kottur, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 8
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Reinforcement Learning Based EV Charging Scheduling: A Novel Action Space Representation
2021 · Kun Qian, Rebecca Adam, et al. · IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia) · 8
PARTNER: Human-in-the-Loop Entity Name Understanding with Deep Learning
2020 · Kun Qian, Poornima Chozhiyath Raman, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 8
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LUSTRE: An Interactive System for Entity Structured Representation and Variant Generation
2018 · Kun Qian, Nikita Bhutani, et al. · Proceedings - International Conference on Data Engineering · 7
A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting
2021 · Kun Qian, Wei Wei, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 6
XAIT
2020 · Erick Oduor, Kun Qian, et al. · ACM International Conference on Intelligent User Interfaces (IUI) · 6
Electric Vehicle User Behavior Prediction Using Gaussian Mixture Models and Soft Information
2021 · Rebecca Adam, Kun Qian, et al. · IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia) · 5
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Works count: 41
Citation count: 1,214
H-index: 16
I10-index: 18
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