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Journal Articles
- 2024
[j10]Andrea Lodi
, Sriram Sankaranarayanan, Guanyi Wang:
A framework for fair decision-making over time with time-invariant utilities. Eur. J. Oper. Res. 319(2): 456-467 (2024)- [j9]Guanyi Wang, Mengqi Lou, Ashwin Pananjady:
Do Algorithms and Barriers for Sparse Principal Component Analysis Extend to Other Structured Settings? IEEE Trans. Signal Process. 72: 3187-3200 (2024) - 2023
- [j8]Hong-an Li, Guanyi Wang, Qiaozhi Hua, Zheng Wen, Li Zhan-Li, Ting Lei:
An image watermark removal method for secure internet of things applications based on federated learning. Expert Syst. J. Knowl. Eng. 40(5) (2023) - [j7]Santanu S. Dey, Marco Molinaro, Guanyi Wang:
Solving sparse principal component analysis with global support. Math. Program. 199(1): 421-459 (2023) - [j6]Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel P. Robinson:
An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j5]Santanu S. Dey, Rahul Mazumder, Guanyi Wang:
Using ℓ1-Relaxation and Integer Programming to Obtain Dual Bounds for Sparse PCA. Oper. Res. 70(3): 1914-1932 (2022) - [j4]Hong-an Li, Guanyi Wang, Kun Gao, Haipeng Li:
A Gated Convolution and Self-Attention-Based Pyramid Image Inpainting Network. J. Circuits Syst. Comput. 31(12): 2250208:1-2250208:18 (2022) - 2020
- [j3]Santanu S. Dey, Guanyi Wang, Yao Xie:
Approximation Algorithms for Training One-Node ReLU Neural Networks. IEEE Trans. Signal Process. 68: 6696-6706 (2020) - 2019
- [j2]Amitabh Basu, R. Kipp Martin, Christopher Thomas Ryan, Guanyi Wang:
Mixed-Integer Linear Representability, Disjunctions, and Chvátal Functions - Modeling Implications. Math. Oper. Res. 44(4): 1264-1285 (2019) - 2018
- [j1]Santanu S. Dey, Andres Iroume, Guanyi Wang:
The strength of multi-row aggregation cuts for sign-pattern integer programs. Oper. Res. Lett. 46(6): 611-615 (2018)
Conference and Workshop Papers
- 2023
- [c6]Yutong Dai, Guanyi Wang, Frank E. Curtis, Daniel P. Robinson:
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization. AISTATS 2023: 5107-5133 - 2021
- [c5]Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu:
Only Train Once: A One-Shot Neural Network Training And Pruning Framework. NeurIPS 2021: 19637-19651 - 2020
- [c4]Guanyi Wang, Santanu S. Dey:
Upper bounds for Model-Free Row-Sparse Principal Component Analysis. ICML 2020: 9868-9875 - [c3]Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu:
Orthant Based Proximal Stochastic Gradient Method for ℓ 1-Regularized Optimization. ECML/PKDD (3) 2020: 57-73 - 2017
- [c2]Amitabh Basu, R. Kipp Martin, Christopher Thomas Ryan, Guanyi Wang:
Mixed-Integer Linear Representability, Disjunctions, and Variable Elimination. IPCO 2017: 75-85 - 2013
- [c1]Zhongliang Deng, Guanyi Wang, Zhongwei Zhan, Hui Dong:
Accurate Assessment Model for Multi-system GNSS. ICICA (2) 2013: 397-409
Informal and Other Publications
- 2023
- [i4]Guanyi Wang, Mengqi Lou, Ashwin Pananjady:
Do algorithms and barriers for sparse principal component analysis extend to other structured settings? CoRR abs/2307.13535 (2023) - 2022
- [i3]Rui Chen, Oktay Günlük, Andrea Lodi, Guanyi Wang:
A Simple Algorithm for Online Decision Making. CoRR abs/2211.03997 (2022) - 2021
- [i2]Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu:
Only Train Once: A One-Shot Neural Network Training And Pruning Framework. CoRR abs/2107.07467 (2021) - 2020
- [i1]Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu:
Orthant Based Proximal Stochastic Gradient Method for 𝓁1-Regularized Optimization. CoRR abs/2004.03639 (2020)
Coauthor Index
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