Wenxin Jiang
Orcid: 0000-0003-2608-8576
According to our database1,
Wenxin Jiang
authored at least 60 papers
between 1998 and 2024.
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Bibliography
2024
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software.
CoRR, 2024
2023
Exploring Naming Conventions (and Defects) of Pre-trained Deep Learning Models in Hugging Face and Other Model Hubs.
CoRR, 2023
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem.
CoRR, 2023
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision.
CoRR, 2023
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023
Proceedings of the IEEE John Vincent Atanasoff International Symposium on Modern Computing, 2023
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
2022
Entropy, December, 2022
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints.
Swarm Evol. Comput., 2022
A Sensitive Frequency Range Method Based on Laser Ultrasounds for Micro-Crack Depth Determination.
Sensors, 2022
Proceedings of the HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, Tempe, Arizona, USA, March 9, 2022
Discrepancies among pre-trained deep neural networks: a new threat to model zoo reliability.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022
An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain.
Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2022
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022
2021
Extended graphical lasso for multiple interaction networks for high dimensional omics data.
PLoS Comput. Biol., 2021
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors.
CoRR, 2021
Research on the construction and application of College Ideology network system based on Data Mining.
Proceedings of the ICISCAE 2021: 4th International Conference on Information Systems and Computer Aided Education, Dalian, China, September 24, 2021
2020
SIAM/ASA J. Uncertain. Quantification, 2020
2019
2018
Bioinform., 2018
Proceedings of the Complex Networks and Their Applications VII, 2018
2017
Ultra-high dimensional variable selection with application to normative aging study: DNA methylation and metabolic syndrome.
BMC Bioinform., 2017
2016
On oracle property and asymptotic validity of Bayesian generalized method of moments.
J. Multivar. Anal., 2016
Data Min. Knowl. Discov., 2016
2014
OpenCyto: An Open Source Infrastructure for Scalable, Robust, Reproducible, and Automated, End-to-End Flow Cytometry Data Analysis.
PLoS Comput. Biol., 2014
2013
Web Intell. Agent Syst., 2013
Proceedings of the COLT 2013, 2013
2012
QUAliFiER: An automated pipeline for quality assessment of gated flow cytometry data.
BMC Bioinform., 2012
2011
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011
2010
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010
Proceedings of the Advances in Intelligent Information Systems, 2010
Clustering Driven Cascade Classifiers for Multi-indexing of Polyphonic Music by Instruments.
Proceedings of the Advances in Music Information Retrieval, 2010
Blind Music Timbre Source Isolation by Multi- resolution Comparison of Spectrum Signatures.
Proceedings of the Rough Sets and Current Trends in Computing, 2010
2009
Proceedings of the Foundations of Computational Intelligence, 2009
Polyphonic Music Information Retrieval Based on Multi-label Cascade Classification System.
Proceedings of the Advances in Information and Intelligent Systems, 2009
On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality.
J. Mach. Learn. Res., 2009
2008
Proceedings of the Rough Sets and Current Trends in Computing, 2008
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007
2006
On the Consistency of Bayesian Variable Selection for High Dimensional Binary Regression and Classification.
Neural Comput., 2006
Neural Comput., 2006
A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference.
Proceedings of the Machine Learning, 2006
2004
2002
Neural Comput., 2002
2001
Some Theoretical Aspects of Boosting in the Presence of Noisy Data.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
2000
On the asymptotic normality of hierarchical mixtures-of-experts for generalized linear models.
IEEE Trans. Inf. Theory, 2000
Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000
1999
On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models.
Neural Comput., 1999
Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999
1998
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998