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Finite-time adaptive consensus of a class of multi-agent systems

Science China. Technological sciences, 2016, Vol.59 (1), p.22-32

2016

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Cooperative Stabilization of a Class of LTI Plants With Distributed Observers

IEEE transactions on circuits and systems. I, Regular papers, 2017-07, Vol.64 (7), p.1891-1902

2017

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Bridging the Gap Between Transmission Noise and Sampled Data for Robust Consensus of Multi-Agent Systems

IEEE transactions on circuits and systems. I, Regular papers, 2015-07, Vol.62 (7), p.1836-1844

2015

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Learning from animals: How to Navigate Complex Terrains

PLoS computational biology, 2020-01, Vol.16 (1), p.e1007452-e1007452

2020

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Synchronizing nonlinear complex networks via switching disconnected topology

Automatica (Oxford), 2016-08, Vol.70, p.189-194

2016

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Learning Policies for Markov Decision Processes From Data

IEEE transactions on automatic control, 2019-06, Vol.64 (6), p.2298-2309

2019

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Learning parametric policies and transition probability models of markov decision processes from data

European journal of control, 2021-01, Vol.57, p.68-75

2021

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Synchronization of a class of small-world networks via drivingly coupled scheme

Proceedings of the 32nd Chinese Control Conference, 2013, p.1241-1246

2013

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A neural circuit model for a contextual association task inspired by recommender systems

Hippocampus, 2020-04, Vol.30 (4), p.384-395

2020

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Neural circuits for learning context-dependent associations of stimuli

Neural networks, 2018-11, Vol.107, p.48-60

2018

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Making Decisions Based on Context: Models and Applications in Cognitive Sciences and Natural Language Processing

Zhu, Henghui

2020

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Feature extraction in Q-learning using neural networks

2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017, p.3330-3335

2017

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Classification of Pulmonary Nodular Findings based on Characterization of Change using Radiology Reports

AMIA Summits on Translational Science proceedings, 2019, Vol.2019, p.285-294

2019

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Context-Driven Concept Annotation in Radiology Reports: Anatomical Phrase Labeling

AMIA Summits on Translational Science proceedings, 2019, Vol.2019, p.232-241

2019

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Negation Scope Detection in Clinical Notes and Scientific Abstracts: A Feature-enriched LSTM-based Approach

AMIA Summits on Translational Science proceedings, 2019, Vol.2019, p.212-221

2019

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Convergence analysis of discrete-time consensus algorithm with both self and transmission delays

Journal of the Franklin Institute, 2016-07, Vol.353 (11), p.2467-2481

2016

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Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning

Journal of digital imaging, 2019-02, Vol.32 (1), p.6-18

2019

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On the cooperative observability of a continuous-time linear system on an undirected network

2014 International Joint Conference on Neural Networks (IJCNN), 2014, p.2940-2944

2014

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Cooperative pinning synchronization of a class of undirected complex networks

2015 34th Chinese Control Conference (CCC), 2015, p.6861-6865

2015

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Learning parameterized policies for Markov decision processes through demonstrations

2016 IEEE 55th Conference on Decision and Control (CDC), 2016, p.7087-7092

2016

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Cooperative Design of Networked Observers for Stabilizing LTI Plants

2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2015, p.2680-2683

2015

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Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2020, Vol.34 (5), p.9741-9748

2020

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Learning Parameterized Prescription Policies and Disease Progression Dynamics using Markov Decision Processes

2019 American Control Conference (ACC), 2019, p.3438-3443

2019

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Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2021, Vol.35 (15), p.13806-13814

2021

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A Hebbian learning algorithm for training a neural circuit to perform context-dependent associations of stimuli

2019 American Control Conference (ACC), 2019, p.848-853

2019

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Finite-time adaptive consensus of a class of multi-agent systems

Cooperative Stabilization of a Class of LTI Plants With Distributed Observers

Bridging the Gap Between Transmission Noise and Sampled Data for Robust Consensus of Multi-Agent Systems

Learning from animals: How to Navigate Complex Terrains

Synchronizing nonlinear complex networks via switching disconnected topology

Learning Policies for Markov Decision Processes From Data

Learning parametric policies and transition probability models of markov decision processes from data

Synchronization of a class of small-world networks via drivingly coupled scheme

A neural circuit model for a contextual association task inspired by recommender systems

Neural circuits for learning context-dependent associations of stimuli

Making Decisions Based on Context: Models and Applications in Cognitive Sciences and Natural Language Processing

Feature extraction in Q-learning using neural networks

Classification of Pulmonary Nodular Findings based on Characterization of Change using Radiology Reports

Context-Driven Concept Annotation in Radiology Reports: Anatomical Phrase Labeling

Negation Scope Detection in Clinical Notes and Scientific Abstracts: A Feature-enriched LSTM-based Approach

Convergence analysis of discrete-time consensus algorithm with both self and transmission delays

Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning

On the cooperative observability of a continuous-time linear system on an undirected network

Cooperative pinning synchronization of a class of undirected complex networks

Learning parameterized policies for Markov decision processes through demonstrations

Cooperative Design of Networked Observers for Stabilizing LTI Plants

Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer

Learning Parameterized Prescription Policies and Disease Progression Dynamics using Markov Decision Processes

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

A Hebbian learning algorithm for training a neural circuit to perform context-dependent associations of stimuli

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