Zhiguang Wang

Orcid: 0000-0001-7045-5308

According to our database1, Zhiguang Wang authored at least 54 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Enhanced Limit-of-Detection of Current Sensor Based on Tunneling Magnetoresistive Effect With Multichips Differential Design.
IEEE Trans. Instrum. Meas., 2023

Contextual Information Augmented Few-Shot Relation Extraction.
Proceedings of the Knowledge Science, Engineering and Management, 2023

2022
A Magnetic Field Imaging System Based on TMR Sensors for Banknote Recognition.
IEEE Trans. Instrum. Meas., 2022

AB-GEP: Adversarial bandit gene expression programming for symbolic regression.
Swarm Evol. Comput., 2022

Design, Implementation, and Characterization of a Novel Positive Buoyancy Autonomous Vehicle.
J. Intell. Robotic Syst., 2022

Taylor Genetic Programming for Symbolic Regression.
CoRR, 2022

Exploring Hidden Semantics in Neural Networks with Symbolic Regression.
CoRR, 2022

Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints.
Adv. Multim., 2022

Multi-Class Lane Semantic Segmentation of Expressway Dataset Based on Aerial View.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Nesterov Adam Iterative Fast Gradient Method for Adversarial Attacks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Exploring hidden semantics in neural networks with symbolic regression.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Taylor genetic programming for symbolic regression.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021
A Magnetoelectric Compass for In-Plane AC Magnetic Field Detection.
IEEE Trans. Ind. Electron., 2021

Magnetic Sensor Based on Giant Magneto-Impedance in Commercial Inductors.
IEEE Trans. Ind. Electron., 2021

Incorporating Actor-Critic in Monte Carlo tree search for symbolic regression.
Neural Comput. Appl., 2021

Enhancing gene expression programming based on space partition and jump for symbolic regression.
Inf. Sci., 2021

Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking.
CoRR, 2021

Gated Transformer Networks for Multivariate Time Series Classification.
CoRR, 2021

Adding Chit-Chat to Enhance Task-Oriented Dialogues.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTracking.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Model of Chinese Named Entity Recognition in the Field of Oil and Gas Exploration Using Domain Dictionary.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Adversarial bandit gene expression programming for symbolic regression.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Continual Learning in Task-Oriented Dialogue Systems.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Zero-Shot Dialogue State Tracking via Cross-Task Transfer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Trajectory splicing.
Knowl. Inf. Syst., 2020

Continual Learning in Task-Oriented Dialogue Systems.
CoRR, 2020

Adding Chit-Chats to Enhance Task-Oriented Dialogues.
CoRR, 2020

Entity Thematic Similarity Measurement for Personal Explainable Searching Services in the Edge Environment.
IEEE Access, 2020

Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Extracting Chinese Domain-specific Open Entity and Relation by Using Learning Patterns.
Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020

2019
A Multi-frame Video Interpolation Neural Network for Large Motion.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Space partition based gene expression programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Micro-solenoid inductors with magnetic core for neural stimulation.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Empirical study of symbolic aggregate approximation for time series classification.
Intell. Data Anal., 2017

Automated Cloud Provisioning on AWS using Deep Reinforcement Learning.
CoRR, 2017

Time series classification from scratch with deep neural networks: A strong baseline.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization.
CoRR, 2016

Encoding Temporal Markov Dynamics in Graph for Time Series Visualization.
CoRR, 2016

Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem.
Comput. Intell. Neurosci., 2016

Adaptive Normalized Risk-Averting Training for Deep Neural Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A Systematic Design Method for Large-Scale Wireless Ad Hoc Network Protocol Based on Optimization Decomposition Theory.
Int. J. Distributed Sens. Networks, 2015

Spatially Encoding Temporal Correlations to Classify Temporal Data Using Convolutional Neural Networks.
CoRR, 2015

Imaging Time-Series to Improve Classification and Imputation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Empirical studies on Symbolic Aggregation approximation under statistical perspectives for knowledge discovery in time series.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Pooling SAX-BoP Approaches with Boosting to Classify Multivariate Synchronous Physiological Time Series Data.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014
Time Warping Symbolic Aggregation Approximation with Bag-of-Patterns Representation for Time Series Classification.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2012
Primary study on return flow of the central wake area of horizontal axis wind turbine.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

Noise source identification test of fan on beamformin.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

2009
A Weighting Approach for Features Based on Real Rough Set.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008
A Semantic Annotation Based Software Knowledge Sharing Space.
Proceedings of the IFIP International Conference on Network and Parallel Computing, 2008

An Ant Colony Optimization Algorithm for the One-Dimensional Cutting Stock Problem with Multiple Stock Lengths.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2007
Optimized streaming media proxy and its applications.
J. Netw. Comput. Appl., 2007


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