Xiaohang Zhang

Orcid: 0000-0002-5315-8712

According to our database1, Xiaohang Zhang authored at least 43 papers between 2008 and 2024.

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Bibliography

2024
Domain generalization based on domain-specific adversarial learning.
Appl. Intell., March, 2024

Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries.
CoRR, 2024

2023
Laser Linewidth Analysis and Filtering/Fitting Algorithms for Improved TDLAS-Based Optical Gas Sensor.
Sensors, 2023

An Attention-Based Spatio-temporal Model for Methane Concentration Forecasting in Coal Mine.
Neural Process. Lett., 2023

Capturing the form of feature interactions in black-box models.
Inf. Process. Manag., 2023

A Graph Convolutional Encoder-Decoder Model for Methane Concentration Forecasting in Coal Mines.
IEEE Access, 2023

Boosting Adversarial Transferability Through Intermediate Feature.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Comparative Research of Hyper-Parameters Mathematical Optimization Algorithms for Automatic Machine Learning in New Generation Mobile Network.
Mob. Networks Appl., 2022

Revealing the structure of prediction models through feature interaction detection.
Knowl. Based Syst., 2022

Error exponent for concatenated codes in DNA data storage under substitution errors.
Sci. China Inf. Sci., 2022

Boosting the Robustness of Neural Networks with M-PGD.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

ReGFFM : A New Graph Model Designed with Spatial Information for Potential Social Connection Mining.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2021
Identity-Based Linkable Ring Signature on NTRU Lattice.
Secur. Commun. Networks, 2021

Local interpretation of supervised learning models based on high dimensional model representation.
Inf. Sci., 2021

Application of convolutional neural network to traditional data.
Expert Syst. Appl., 2021

Interpreting the black box of supervised learning models: Visualizing the impacts of features on prediction.
Appl. Intell., 2021

A Robust Method to Measure the Global Feature Importance of Complex Prediction Models.
IEEE Access, 2021

2020
Research on the influence of balance patch on players' character preference.
Internet Res., 2020

Measuring Feature Importance of Convolutional Neural Networks.
IEEE Access, 2020

Active Measurement of Open Resolver Service Nodes.
Proceedings of the CSAE 2020: The 4th International Conference on Computer Science and Application Engineering, 2020

2019
Investment performance measurement of new generation mobile communication networks based on dynamic DEA model.
EURASIP J. Wirel. Commun. Netw., 2019

2018
CDB: A Crowd-Powered Database System.
Proc. VLDB Endow., 2018

机器学习算法在中医诊疗中的研究综述 (Review of Machine Learning Algorithms in Traditional Chinese Medicine).
计算机科学, 2018

The impact of uncertain rewards on customers' recommendation intention in social networks.
Internet Res., 2018

Receiver responses to referral reward programs in social networks.
Electron. Commer. Res., 2018

A Rating-Ranking Method for Crowdsourced Top-k Computation.
Proceedings of the 2018 International Conference on Management of Data, 2018

2017
The impact research of online reviews' sentiment polarity presentation on consumer purchase decision.
Inf. Technol. People, 2017

CDB: Optimizing Queries with Crowd-Based Selections and Joins.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016
Crowdsourced Top-k Algorithms: An Experimental Evaluation.
Proc. VLDB Endow., 2016

Exploring the sequential usage patterns of mobile Internet services based on Markov models.
Electron. Commer. Res. Appl., 2016

Connecting Aged Parents with Their Adult Children Over Long Distances: Challenges and a Solution.
Proceedings of the Universal Access in Human-Computer Interaction. Users and Context Diversity, 2016

2013
Identifying influential nodes in complex networks with community structure.
Knowl. Based Syst., 2013

Structure learning for belief rule base expert system: A comparative study.
Knowl. Based Syst., 2013

2012
Predicting customer churn through interpersonal influence.
Knowl. Based Syst., 2012

2011
Research on Evolution of Chinese Telecom Industry System Based on Dissipative Structure Theory.
J. Comput., 2011

A novel clustering method on time series data.
Expert Syst. Appl., 2011

USOM: Mining and visualizing uncertain data based on self-organizing maps.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Automatic classification of uncertain data by soft classifier.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010
Predicting customer churn by integrating the effect of the customer contact network.
Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, 2010

2009
Word of Mouth: The Effects of Marketing Efforts and Customer Satisfaction.
Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009

Switching Costs between Customer Satisfaction and Loyalty.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

2008
Estimation of Market Share by Using Discretization Technology: An Application in China Mobile.
Proceedings of the Computational Science, 2008

Extracting meaningful patterns for time series classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008


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