Boxiang Wang

According to our database, Boxiang Wang authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Preventing output saturation in active noise control: An output-constrained Kalman filter approach.

Junwei Ji, Dongyuan Shi, Boxiang Wang, Xiaoyi Shen, Zhengding Luo, Woon-Seng Gan

CoRR, 2024

fastkqr: A Fast Algorithm for Kernel Quantile Regression.

Qian Tang, Yuwen Gu, Boxiang Wang

CoRR, 2024

Using Large Language Models for Humanitarian Frontline Negotiation: Opportunities and Considerations.

Zilin Ma, Susannah Su, Nathan Zhao, Linn Bieske, Blake Bullwinkel, Yanyi Zhang, Sophia Yang, Ziqing Luo, Siyao Li, Gekai Liao, Boxiang Wang, Jinglun Gao, Zihan Wen, Claude Bruderlein, Weiwei Pan

CoRR, 2024

Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression.

Qian Tang, Yikai Zhang, Boxiang Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Density-Convoluted Support Vector Machines for High-Dimensional Classification.

Boxiang Wang, Le Zhou, Yuwen Gu, Hui Zou

IEEE Trans. Inf. Theory, April, 2023

A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space.

Yi Lian, Archer Y. Yang, Boxiang Wang, Peng Shi, Robert William Platt

Technometrics, April, 2023

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

Boxiang Wang, Yunan Wu, Chenglong Ye

CoRR, 2023

An Empirical Study on Concurrency Bugs in Interrupt-Driven Embedded Software.

Chao Li, Rui Chen, Boxiang Wang, Zhixuan Wang, Tingting Yu, Yunsong Jiang, Bin Gu, Mengfei Yang

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Precise Dynamic Data Race Prediction for Interrupt-Driven Embedded Software.

Tingting Yu, Chunpeng Jia, Rui Chen, Chao Li, Boxiang Wang, Yunsong Jiang

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.

Shenggui Li, Hongxin Liu, Zhengda Bian, Jiarui Fang, Haichen Huang, Yuliang Liu, Boxiang Wang, Yang You

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

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

Boxiang Wang, Hui Zou

Technometrics, 2022

A Consolidated Cross-Validation Algorithm for Support Vector Machines via Data Reduction.

Boxiang Wang, Archer Y. Yang

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.

Boxiang Wang, Rui Chen, Chao Li, Tingting Yu, Dongdong Gao, Mengfei Yang

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.

Chao Li, Rui Chen, Boxiang Wang, Tingting Yu, Dongdong Gao, Mengfei Yang

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.

Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Sparse Tensor Additive Regression.

Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang, Will Wei Sun

J. Mach. Learn. Res., 2021

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

Zhengda Bian, Hongxin Liu, Boxiang Wang, Haichen Huang, Yongbin Li, Chuanrui Wang, Fan Cui, Yang You

CoRR, 2021

2.5-dimensional distributed model training.

Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You

CoRR, 2021

Maximizing Parallelism in Distributed Training for Huge Neural Networks.

Zhengda Bian, Qifan Xu, Boxiang Wang, Yang You

CoRR, 2021

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

Tong Wang, Jingyi Yang, Yunyi Li, Boxiang Wang

CoRR, 2021

2019

A Multicategory Kernel Distance Weighted Discrimination Method for Multiclass Classification.

Boxiang Wang, Hui Zou

Technometrics, 2019

2015

A Nonparametric Phase I Control Chart for Individual Observations Based on Empirical Likelihood Ratio.

Wei Ning, Arthur B. Yeh, Xinqi Wu, Boxiang Wang

Qual. Reliab. Eng. Int., 2015