Guanyi Wang

26 papers A* 3A 1B 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comparative Analysis of SWH Retrieval Between BDS-R and GPS-R Utilizing FY-3E/GNOS-II Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Hui Yu, Qifei Du, Junming Xia, Feixiong Huang, Cong Yin, Xiaofeng Meng, Weihua Bai, Yueqiang Sun, Xianyi Wang, Lichang Duan, Yixuan Sun, Guanyi Wang, Yunlong Du
2025 J jnl
Simulation Analysis of Inverting Marine Vertical Deflection Using Spaceborne GNSS-R Interferometric Altimetry.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Lichang Duan, Junming Xia, Weihua Bai, Zhenhe Zhai, Feixiong Huang, Cong Yin, Yueqiang Sun, Qifei Du, Dongwei Wang, Xianyi Wang, Yixuan Sun, Shengyu Kang, Guanyi Wang, Xiaofeng Meng, Yunlong Du
2024 J jnl
A framework for fair decision-making over time with time-invariant utilities.
Eur. J. Oper. Res.
Andrea Lodi, Sriram Sankaranarayanan, Guanyi Wang
2024 J jnl
Do Algorithms and Barriers for Sparse Principal Component Analysis Extend to Other Structured Settings?
IEEE Trans. Signal Process.
Guanyi Wang, Mengqi Lou, Ashwin Pananjady
2024 — conf
Fiber Optic 3-axis Force Sensing One-Piece Grasper for Minimally Invasive Surgery.
RCAR
Tianliang Li, Mingchang Du, Guanyi Wang, Zebin Zhao, Chen Zhao, Jun Wang, Yu Xu, Yaqing Xu, Yuegang Tan
2024 J jnl
Solving Sparse & High-Dimensional-Output Regression via Compression.
CoRR
Renyuan Li, Zhehui Chen, Guanyi Wang
2024 A* conf
Solving Sparse \& High-Dimensional-Output Regression via Compression.
NeurIPS
Renyuan Li, Zhehui Chen, Guanyi Wang
2023 A conf
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization.
AISTATS
Yutong Dai, Guanyi Wang, Frank E. Curtis, Daniel P. Robinson
2023 J jnl
An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization.
Trans. Mach. Learn. Res.
Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel P. Robinson
2023 J jnl
An image watermark removal method for secure internet of things applications based on federated learning.
Expert Syst. J. Knowl. Eng.
Hong-an Li, Guanyi Wang, Qiaozhi Hua, Zheng Wen, Li Zhan-Li, Ting Lei
2023 J jnl
Do algorithms and barriers for sparse principal component analysis extend to other structured settings?
CoRR
Guanyi Wang, Mengqi Lou, Ashwin Pananjady
2023 J jnl
Solving sparse principal component analysis with global support.
Math. Program.
Santanu S. Dey, Marco Molinaro, Guanyi Wang
2022 J jnl
A Gated Convolution and Self-Attention-Based Pyramid Image Inpainting Network.
J. Circuits Syst. Comput.
Hong-an Li, Guanyi Wang, Kun Gao, Haipeng Li
2022 J jnl
A Simple Algorithm for Online Decision Making.
CoRR
Rui Chen, Oktay Günlük, Andrea Lodi, Guanyi Wang
2022 J jnl
Using ℓ1-Relaxation and Integer Programming to Obtain Dual Bounds for Sparse PCA.
Oper. Res.
Santanu S. Dey, Rahul Mazumder, Guanyi Wang
2021 — —
Approximation Algorithms for Mixed Integer Non-Linear Optimization Problems.
Guanyi Wang
2021 A* conf
Only Train Once: A One-Shot Neural Network Training And Pruning Framework.
NeurIPS
Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu
2021 J jnl
Only Train Once: A One-Shot Neural Network Training And Pruning Framework.
CoRR
Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu
2020 J jnl
Approximation Algorithms for Training One-Node ReLU Neural Networks.
IEEE Trans. Signal Process.
Santanu S. Dey, Guanyi Wang, Yao Xie
2020 — conf
Orthant Based Proximal Stochastic Gradient Method for ℓ
ECML/PKDD (3)
Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu
2020 J jnl
Orthant Based Proximal Stochastic Gradient Method for 𝓁
CoRR
Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu
2020 A* conf
Upper bounds for Model-Free Row-Sparse Principal Component Analysis.
ICML
Guanyi Wang, Santanu S. Dey
2019 J jnl
Mixed-Integer Linear Representability, Disjunctions, and Chvátal Functions - Modeling Implications.
Math. Oper. Res.
Amitabh Basu, R. Kipp Martin, Christopher Thomas Ryan, Guanyi Wang
2018 J jnl
The strength of multi-row aggregation cuts for sign-pattern integer programs.
Oper. Res. Lett.
Santanu S. Dey, Andres Iroume, Guanyi Wang
2017 B conf
Mixed-Integer Linear Representability, Disjunctions, and Variable Elimination.
IPCO
Amitabh Basu, R. Kipp Martin, Christopher Thomas Ryan, Guanyi Wang
2013 — conf
Accurate Assessment Model for Multi-system GNSS.
ICICA (2)
Zhongliang Deng, Guanyi Wang, Zhongwei Zhan, Hui Dong