Yu Wang
Yu Wang
Microsoft, SRA, Apple, Yale University
Verified email at - Homepage
Cited by
Cited by
Unified language model pre-training for natural language understanding and generation
L Dong, N Yang, W Wang, F Wei, X Liu, Y Wang, J Gao, M Zhou, HW Hon
Advances in neural information processing systems 32, 2019
Unilmv2: Pseudo-masked language models for unified language model pre-training
H Bao, L Dong, F Wei, W Wang, N Yang, X Liu, Y Wang, J Gao, S Piao, ...
International conference on machine learning, 642-652, 2020
A new concept using lstm neural networks for dynamic system identification
Y Wang
2017 American control conference (ACC), 5324-5329, 2017
A bi-model based rnn semantic frame parsing model for intent detection and slot filling
Y Wang, Y Shen, H Jin
arXiv preprint arXiv:1812.10235, 2018
Adversarial training for large neural language models
X Liu, H Cheng, P He, W Chen, Y Wang, H Poon, J Gao
arXiv preprint arXiv:2004.08994, 2020
A neural transition-based model for nested mention recognition
B Wang, W Lu, Y Wang, H Jin
arXiv preprint arXiv:1810.01808, 2018
The microsoft toolkit of multi-task deep neural networks for natural language understanding
X Liu, Y Wang, J Ji, H Cheng, X Zhu, E Awa, P He, W Chen, H Poon, ...
arXiv preprint arXiv:2002.07972, 2020
Fast reinforcement learning using multiple models
KS Narendra, Y Wang, S Mukhopadhay
2016 IEEE 55th Conference on Decision and Control (CDC), 7183-7188, 2016
Stability, robustness, and performance issues in second level adaptation
KS Narendra, Y Wang, W Chen
2014 American Control Conference, 2377-2382, 2014
A deep reinforcement learning based multi-step coarse to fine question answering (mscqa) system
Y Wang, H Jin
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7224-7232, 2019
A boosting-based deep neural networks algorithm for reinforcement learning
Y Wang, H Jin
2018 Annual American Control Conference (ACC), 1065-1071, 2018
A Deep Reinforcement Learning Based Multimodal Coaching Model (DCM) for Slot Filling in Spoken Language Understanding (SLU).
Y Wang, A Patel, Y Shen, H Jin
INTERSPEECH, 3444-3448, 2018
Design and implementation of an integrated multi-functional autonomous parking system with fuzzy logic controller
Y Wang, X Zhu
2012 American Control Conference (ACC), 2928-2933, 2012
A new concept of deep reinforcement learning based augmented general tagging system
Y Wang, A Patel, H Jin
Proceedings of the 27th International Conference on Computational …, 2018
Hybrid fuzzy logic controller for optimized autonomous parking
Y Wang, X Zhu
2013 American Control Conference, 182-187, 2013
Improving the speed of response of learning algorithms using multiple models
KS Narendra, S Mukhopadyhay, Y Wang
arXiv preprint arXiv:1510.05034, 2015
The rationale for second level adaptation
KS Narendra, Y Wang, W Chen
arXiv preprint arXiv:1510.04989, 2015
Extension of second level adaptation using multiple models to SISO systems
KS Narendra, Y Wang, W Chen
2015 American Control Conference (ACC), 171-176, 2015
A robust design of hybrid fuzzy controller with fuzzy decision tree for autonomous intelligent parking system
Y Wang, X Zhu
2014 American Control Conference, 5282-5287, 2014
System and method for personalized natural language understanding
Y Shen, X Zeng, Y Wang, H Jin
US Patent 11,094,317, 2021
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