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Journal Articles
- 2023
[j6]Yi Lian
, Archer Y. Yang, Boxiang Wang, Peng Shi, Robert William Platt:
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space. Technometrics 65(2): 281-295 (2023)- [j5]Boxiang Wang, Le Zhou, Yuwen Gu, Hui Zou:
Density-Convoluted Support Vector Machines for High-Dimensional Classification. IEEE Trans. Inf. Theory 69(4): 2523-2536 (2023) - 2022
- [j4]Boxiang Wang, Hui Zou:
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers. Technometrics 64(3): 291-298 (2022) - 2021
- [j3]Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang, Will Wei Sun:
Sparse Tensor Additive Regression. J. Mach. Learn. Res. 22: 64:1-64:43 (2021) - 2019
- [j2]Boxiang Wang, Hui Zou:
A Multicategory Kernel Distance Weighted Discrimination Method for Multiclass Classification. Technometrics 61(3): 396-408 (2019) - 2015
- [j1]Wei Ning, Arthur B. Yeh, Xinqi Wu, Boxiang Wang:
A Nonparametric Phase I Control Chart for Individual Observations Based on Empirical Likelihood Ratio. Qual. Reliab. Eng. Int. 31(1): 37-55 (2015)
Conference and Workshop Papers
- 2024
- [c8]Qian Tang, Yikai Zhang, Boxiang Wang:
Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression. ICML 2024 - 2023
- [c7]Shenggui Li, Hongxin Liu, Zhengda Bian, Jiarui Fang, Haichen Huang, Yuliang Liu, Boxiang Wang, Yang You:
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training. ICPP 2023: 766-775 - [c6]Tingting Yu, Chunpeng Jia, Rui Chen, Chao Li, Boxiang Wang, Yunsong Jiang:
Precise Dynamic Data Race Prediction for Interrupt-Driven Embedded Software. ISSREW 2023: 69-74 - [c5]Chao Li, Rui Chen, Boxiang Wang, Zhixuan Wang, Tingting Yu, Yunsong Jiang, Bin Gu, Mengfei Yang:
An Empirical Study on Concurrency Bugs in Interrupt-Driven Embedded Software. ISSTA 2023: 1345-1356 - 2022
- [c4]Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You:
Tesseract: Parallelize the Tensor Parallelism Efficiently. ICPP 2022: 12:1-12:11 - [c3]Chao Li, Rui Chen, Boxiang Wang, Tingting Yu, Dongdong Gao, Mengfei Yang:
Precise and efficient atomicity violation detection for interrupt-driven programs via staged path pruning. ISSTA 2022: 506-518 - [c2]Boxiang Wang, Rui Chen, Chao Li, Tingting Yu, Dongdong Gao, Mengfei Yang:
SpecChecker-ISA: a data sharing analyzer for interrupt-driven embedded software. ISSTA 2022: 801-804 - [c1]Boxiang Wang, Archer Y. Yang:
A Consolidated Cross-Validation Algorithm for Support Vector Machines via Data Reduction. NeurIPS 2022
Informal and Other Publications
- 2024
- [i8]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:
Using Large Language Models for Humanitarian Frontline Negotiation: Opportunities and Considerations. CoRR abs/2405.20195 (2024) - [i7]Qian Tang, Yuwen Gu, Boxiang Wang:
fastkqr: A Fast Algorithm for Kernel Quantile Regression. CoRR abs/2408.05393 (2024) - 2023
- [i6]Boxiang Wang, Yunan Wu, Chenglong Ye:
The ART of Transfer Learning: An Adaptive and Robust Pipeline. CoRR abs/2305.00520 (2023) - 2021
- [i5]Tong Wang, Jingyi Yang, Yunyi Li, Boxiang Wang:
Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning. CoRR abs/2105.02410 (2021) - [i4]Zhengda Bian, Qifan Xu, Boxiang Wang, Yang You:
Maximizing Parallelism in Distributed Training for Huge Neural Networks. CoRR abs/2105.14450 (2021) - [i3]Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You:
2.5-dimensional distributed model training. CoRR abs/2105.14500 (2021) - [i2]Zhengda Bian, Hongxin Liu, Boxiang Wang, Haichen Huang, Yongbin Li, Chuanrui Wang, Fan Cui, Yang You:
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training. CoRR abs/2110.14883 (2021) - 2019
- [i1]Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang, Will Wei Sun:
Sparse Tensor Additive Regression. CoRR abs/1904.00479 (2019)
Coauthor Index
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