User profiles for Shi Jin

Shi Jin

- Verified email at seu.edu.cn - Cited by 33863

Shi Jin

- Verified email at sjtu.edu.cn - Cited by 12041

Large intelligent surface-assisted wireless communication exploiting statistical CSI

Y Han, W Tang, S Jin, CK Wen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Large intelligent surface (LIS)-assisted wireless communications have drawn attention
worldwide. With the use of low-cost LIS on building walls, signals can be reflected by the LIS and …

The relaxation schemes for systems of conservation laws in arbitrary space dimensions

S Jin, Z Xin - Communications on pure and applied …, 1995 - Wiley Online Library
We present a class of numerical schemes (called the relaxation schemes) for systems of
conservation laws in several space dimensions. The idea is to use a local relaxation …

Wireless communications with reconfigurable intelligent surface: Path loss modeling and experimental measurement

…, Y Han, M Di Renzo, Y Zeng, S Jin… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) comprised of tunable unit cells have recently drawn
significant attention due to their superior capability in manipulating electromagnetic waves…

A wireless communication scheme based on space-and frequency-division multiplexing using digital metasurfaces

…, MZ Chen, W Tang, JY Dai, L Miao, XY Zhou, S Jin… - Nature …, 2021 - nature.com
Digitally programmable metasurfaces are of potential use in wireless multiplexing
techniques because they can encode and transmit information without using traditional radio-…

Efficient asymptotic-preserving (AP) schemes for some multiscale kinetic equations

S Jin - SIAM Journal on Scientific Computing, 1999 - SIAM
Many kinetic models of the Boltzmann equation have a diffusive scaling that leads to the
Navier--Stokes type parabolic equations as the small scaling parameter approaches zero. In …

Deep learning for wireless physical layer: Opportunities and challenges

…, CK Wen, H Wang, F Gao, T Jiang, S Jin - China …, 2017 - ieeexplore.ieee.org
Machine learning (ML) has been widely applied to the upper layers of wireless communication
systems for various purposes, such as deployment of cognitive radio and communication …

Federated learning with differential privacy: Algorithms and performance analysis

…, C Ma, HH Yang, F Farokhi, S Jin… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Federated learning (FL), as a type of distributed machine learning, is capable of significantly
preserving clients’ private data from being exposed to adversaries. Nevertheless, private …

[PDF][PDF] Ferroptosis heterogeneity in triple-negative breast cancer reveals an innovative immunotherapy combination strategy

F Yang, Y Xiao, JH Ding, X Jin, D Ma, DQ Li, JX Shi… - Cell metabolism, 2023 - cell.com
Treatment of triple-negative breast cancer (TNBC) remains challenging. Deciphering the
orchestration of metabolic pathways in regulating ferroptosis will provide new insights into …

Electronic and morphological dual modulation of cobalt carbonate hydroxides by Mn doping toward highly efficient and stable bifunctional electrocatalysts for overall …

…, S Niu, N Liu, H Luo, YY Chen, SF Jin… - Journal of the …, 2017 - ACS Publications
Developing bifunctional efficient and durable non-noble electrocatalysts for oxygen evolution
reaction (OER) and hydrogen evolution reaction (HER) is highly desirable and challenging …

Deep learning for massive MIMO CSI feedback

CK Wen, WT Shih, S Jin - IEEE Wireless Communications …, 2018 - ieeexplore.ieee.org
In frequency division duplex mode, the downlink channel state information (CSI) should be
sent to the base station through feedback links so that the potential gains of a massive …