Boxiang Wang

Orcid: 0000-0003-3622-6020

According to our database1, Boxiang Wang authored at least 18 papers between 2015 and 2023.

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

Timeline

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Links

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Bibliography

2023
Density-Convoluted Support Vector Machines for High-Dimensional Classification.
IEEE Trans. Inf. Theory, April, 2023

A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space.
Technometrics, April, 2023

The ART of Transfer Learning: An Adaptive and Robust Pipeline.
CoRR, 2023

An Empirical Study on Concurrency Bugs in Interrupt-Driven Embedded Software.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Precise Dynamic Data Race Prediction for Interrupt-Driven Embedded Software.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, 2023

Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers.
Technometrics, 2022

A Consolidated Cross-Validation Algorithm for Support Vector Machines via Data Reduction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SpecChecker-ISA: a data sharing analyzer for interrupt-driven embedded software.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Precise and efficient atomicity violation detection for interrupt-driven programs via staged path pruning.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Tesseract: Parallelize the Tensor Parallelism Efficiently.
Proceedings of the 51st International Conference on Parallel Processing, 2022

2021
Sparse Tensor Additive Regression.
J. Mach. Learn. Res., 2021

Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training.
CoRR, 2021

2.5-dimensional distributed model training.
CoRR, 2021

Maximizing Parallelism in Distributed Training for Huge Neural Networks.
CoRR, 2021

Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning.
CoRR, 2021

2019
A Multicategory Kernel Distance Weighted Discrimination Method for Multiclass Classification.
Technometrics, 2019

2015
A Nonparametric Phase I Control Chart for Individual Observations Based on Empirical Likelihood Ratio.
Qual. Reliab. Eng. Int., 2015


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