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Bo Jiang 0010
Person information
- affiliation: Nanjing Normal University, School of Mathematical Sciences, China
Other persons with the same name
- Bo Jiang — disambiguation page
- Bo Jiang 0001
— Beihang University, School of Computer Science and Engineering, Beijing, China (and 1 more)
- Bo Jiang 0002
— Anhui University, School of Computer Science and Technology, Hefei, China
- Bo Jiang 0003
— Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China (and 1 more)
- Bo Jiang 0004 — Dalian Maritime University, School of Information Science and Technology, China
- Bo Jiang 0005
— Harvard University, Cambridge, Department of Statistics, MA, USA (and 1 more)
- Bo Jiang 0006
— Beijing Normal University, School of Geography, State Key Laboratory of Remote Sensing Science, China
- Bo Jiang 0007
— Shanghai University of Finance and Economics, School of Information Management and Engineering, China (and 1 more)
- Bo Jiang 0008 — Intel Corporation, Hillsboro, USA (and 1 more)
- Bo Jiang 0009
— Zhejiang Gongshang University, College of Computer and Information Engineering, Hangzhou, China (and 1 more)
- Bo Jiang 0011 — Huazhong University of Science and Technology, Wuhan, China
- Bo Jiang 0012 — National Institute of Aerospace, Hampton, VA, USA (and 1 more)
- Bo Jiang 0013
— Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Bo Jiang 0014
— Northwest University, School of Information Science and Technology, Xi'an, China
- Bo Jiang 0015
— University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA
- Bo Jiang 0016
— East China Normal University, Department of Educational Information Technology, Shanghai, China (and 3 more)
- Bo Jiang 0017
— Harbin Institute of Technology at Shenzhen, Department of Computer Science and Technology, Shenzhen, China (and 1 more)
- Bo Jiang 0018
— Nanjing University of Posts and Telecommunications, School of Education Science and Technology, Nanjing, China
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2020 – today
- 2024
- [j10]Zheyu Wu
, Bo Jiang
, Ya-Feng Liu
, Mingjie Shao
, Yu-Hong Dai
:
Efficient CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems With PSK Modulation. IEEE Trans. Wirel. Commun. 23(5): 4861-4875 (2024) - [c5]Meng Xu, Bo Jiang, Wenqiang Pu, Ya-Feng Liu, Anthony Man-Cho So:
An Efficient Alternating Riemannian/Projected Gradient Descent Ascent Algorithm for Fair Principal Component Analysis. ICASSP 2024: 7195-7199 - [c4]Xilai Fan, Ya-Feng Liu, Bo Jiang:
Joint Beamforming and Compression Design for Per-Antenna Power Constrained Cooperative Cellular Networks. ICASSP 2024: 9091-9095 - [i7]Jiageng Wu, Bo Jiang, Xinxin Li, Ya-Feng Liu, Jianhua Yuan:
A New Adaptive Balanced Augmented Lagrangian Method with Application to ISAC Beamforming Design. CoRR abs/2410.15358 (2024) - 2023
- [j9]Biqiang Mu
, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu:
On embeddings and inverse embeddings of input design for regularized system identification. Autom. 147: 110673 (2023) - [j8]Bo Jiang
, Xiang Meng
, Zaiwen Wen
, Xiaojun Chen:
An exact penalty approach for optimization with nonnegative orthogonality constraints. Math. Program. 198(1): 855-897 (2023) - [j7]Biqiang Mu
, He Kong
, Tianshi Chen
, Bo Jiang
, Lei Wang
, Junfeng Wu
:
Input Design for Regularized System Identification: Stationary Conditions and Sphere Preserving Algorithm. IEEE Trans. Autom. Control. 68(9): 5714-5720 (2023) - [c3]Zheyu Wu
, Ya-Feng Liu, Bo Jiang, Yu-Hong Dai:
Efficient Quantized Constant Envelope Precoding for Multiuser Downlink Massive MIMO Systems. ICASSP 2023: 1-5 - [c2]Bo Jiang, Ya-Feng Liu:
A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance. NeurIPS 2023 - [i6]Xilai Fan, Ya-Feng Liu, Bo Jiang:
Joint Beamforming and Compression Design for Per-Antenna Power Constrained Cooperative Cellular Networks. CoRR abs/2309.05226 (2023) - 2022
- [j6]Jiaqi Zhang
, Zeyu Jin, Bo Jiang
, Zaiwen Wen
:
Stochastic Augmented Projected Gradient Methods for the Large-Scale Precoding Matrix Indicator Selection Problem. IEEE Trans. Wirel. Commun. 21(11): 9553-9565 (2022) - [c1]Zheyu Wu
, Bo Jiang, Ya-Feng Liu, Yu-Hong Dai:
A Novel Negative ℓ1 Penalty Approach for Multiuser One-Bit Massive MIMO Downlink with PSK Signaling. ICASSP 2022: 5323-5327 - [i5]Biqiang Mu
, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu:
On Embeddings and Inverse Embeddings of Input Design for Regularized System Identification. CoRR abs/2209.13152 (2022) - [i4]Zheyu Wu, Ya-Feng Liu, Bo Jiang, Yu-Hong Dai:
Efficient Quantized Constant Envelope Precoding for Multiuser Downlink Massive MIMO Systems. CoRR abs/2210.14534 (2022) - 2021
- [i3]Ruichen Jiang, Ya-Feng Liu, Chenglong Bao, Bo Jiang:
Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection. CoRR abs/2102.04586 (2021) - [i2]Zheyu Wu, Bo Jiang, Ya-Feng Liu, Yu-Hong Dai:
A Novel Negative 𝓁1 Penalty Approach for Multiuser One-Bit Massive MIMO Downlink with PSK Signaling. CoRR abs/2110.04768 (2021) - [i1]Zheyu Wu, Bo Jiang, Ya-Feng Liu, Yu-Hong Dai:
CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems with PSK Modulation: A Negative 𝓁1 Penalty Approach. CoRR abs/2110.11628 (2021)
2010 – 2019
- 2019
- [j5]Jiang Hu, Bo Jiang, Lin Lin
, Zaiwen Wen, Ya-Xiang Yuan:
Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints. SIAM J. Sci. Comput. 41(4): A2239-A2269 (2019) - 2017
- [j4]Chao Yao
, Ya-Feng Liu, Bo Jiang, Jungong Han, Junwei Han
:
LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition. IEEE Trans. Image Process. 26(11): 5257-5269 (2017) - 2016
- [j3]Bo Jiang, Ya-Feng Liu, Zaiwen Wen:
Lp-norm Regularization Algorithms for Optimization Over Permutation Matrices. SIAM J. Optim. 26(4): 2284-2313 (2016) - 2015
- [j2]Bo Jiang, Yu-Hong Dai:
A framework of constraint preserving update schemes for optimization on Stiefel manifold. Math. Program. 153(2): 535-575 (2015) - 2013
- [j1]Bo Jiang, Yu-Hong Dai:
Feasible Barzilai-Borwein-like methods for extreme symmetric eigenvalue problems. Optim. Methods Softw. 28(4): 756-784 (2013)
Coauthor Index
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