Jinjun Xiong
Overview
Explore the profile of Jinjun Xiong including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
18
Citations
127
Followers
0
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Tang Y, Song Y, Elango N, Priya S, Jones A, Xiong J, et al.
IEEE Trans Comput Aided Des Integr Circuits Syst
. 2024 Dec;
43(11):3937-3948.
PMID: 39703437
DNNs are rapidly evolving from streamlined single-modality single-task (SMST) to multi-modality multi-task (MMMT) with large variations for different layers and complex data dependencies among layers. To support such models, hardware...
2.
Fan F, Xiong J, Li M, Wang G
IEEE Trans Radiat Plasma Med Sci
. 2022 May;
5(6):741-760.
PMID: 35573928
Deep learning as represented by the artificial deep neural networks (DNNs) has achieved great success recently in many important areas that deal with text, images, videos, graphs, and so on....
3.
Jiang W, Xiong J, Shi Y
Nat Commun
. 2021 Jan;
12(1):579.
PMID: 33495480
Despite the pursuit of quantum advantages in various applications, the power of quantum computers in executing neural network has mostly remained unknown, primarily due to a missing tool that effectively...
4.
Zhang S, Wang M, Xiong J, Liu S, Chen P
IEEE Trans Neural Netw Learn Syst
. 2020 Jul;
32(6):2622-2635.
PMID: 32726280
We analyze the learning problem of one-hidden-layer nonoverlapping convolutional neural networks with the rectified linear unit (ReLU) activation function from the perspective of model estimation. The training outputs are assumed...
5.
Fan F, Xiong J, Wang G
Neural Netw
. 2020 Feb;
124:383-392.
PMID: 32062373
Recently, deep learning has achieved huge successes in many important applications. In our previous studies, we proposed quadratic/second-order neurons and deep quadratic neural networks. In a quadratic neuron, the inner...
6.
ColXα1 is a stromal component that colocalizes with elastin in the breast tumor extracellular matrix
Wang Y, Lu S, Xiong J, Singh K, Hui Y, Zhao C, et al.
J Pathol Clin Res
. 2018 Sep;
5(1):40-52.
PMID: 30207088
The tumor microenvironment regulates tissue development and homeostasis, and its dysregulation contributes to neoplastic progression. Increased expression of type X collagen α-1 (ColXα1) in tumor-associated stroma correlates with poor pathologic...
7.
Jackson C, Hang S, Hansen K, He M, Sung C, Quddus M, et al.
Int J Gynecol Cancer
. 2018 Jan;
28(2):241-247.
PMID: 29303928
Objective: KRAS mutations are frequently seen in malignancies with mucinous morphology. In our previous study, mucinous endometrial carcinomas were associated with a significantly higher frequency of KRAS mutations as compared...
8.
Wang Y, Brodsky A, Xiong J, Lopresti M, Yang D, Resnick M
Clin Breast Cancer
. 2017 Sep;
18(3):e373-e379.
PMID: 28890185
Background: Expression of clusterin correlates with tumor progression and therapeutic response in several human malignancies, including breast cancer. However, its predictive value in the neoadjuvant setting in breast cancer remains...
9.
Xiong J, He M, Hansen K, Jackson C, Breese V, Quddus M, et al.
Gynecol Oncol
. 2016 May;
142(1):163-168.
PMID: 27154241
Objectives: The entity of 'surface epithelial changes' (SECs) was first described in 1995 [1]. Morphologically, SECs usually arise from malignant glands at the superficial aspect of well differentiated (WD) endometrioid...
10.
Brodsky A, Xiong J, Yang D, Schorl C, Fenton M, Graves T, et al.
BMC Cancer
. 2016 Apr;
16:274.
PMID: 27090210
Background: The influence of the tumor microenvironment and tumor-stromal interactions on the heterogeneity of response within breast cancer subtypes have just begun to be explored. This study focuses on patients...