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Jia Kang
ORCID
Publication Activity (10 Years)
Years Active: 2009-2024
Publications (10 Years): 9
Top Topics
Convolutional Neural Network
Influence Factors
Model Predictive Control
Nonlinear Programming
Top Venues
IEEE Access
Comput. Electron. Agric.
ACC
ICIT
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Publications
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Zhengxin Li
,
Junfeng Zhao
,
Jia Kang
Multi-source Anomaly Detection For Microservice Systems.
ICSE Companion
(2024)
Sheng Yang
,
Zheng Gong
,
Jia Kang
An Improved End-to-End Audio-Visual Speech Recognition Model.
INTERSPEECH
(2023)
Jia Kang
,
Liantao Liu
,
Fucheng Zhang
,
Chen Shen
,
Nan Wang
,
Limin Shao
Semantic segmentation model of cotton roots in-situ image based on attention mechanism.
Comput. Electron. Agric.
189 (2021)
Jinquan Li
,
Shanshan Xie
,
Zhe Chen
,
Hongwen Liu
,
Jia Kang
,
Zixuan Fan
,
Wenjie Li
A Shallow Convolutional Neural Network for Apple Classification.
IEEE Access
8 (2020)
Yong-Ming He
,
Yu-Long Pei
,
Bin Ran
,
Jia Kang
,
Yu-Ting Song
Superhighway Virtual Track System Based on Intelligent Road Buttons.
IEEE Access
8 (2020)
Jinmei Zu
,
Ruyue Chen
,
Jia Kang
,
Yaru Han
,
Gaixin Zhang
The Effects of Multi-Slice Helical Computed Tomography and Phlebography on Edema Regression Nursing of Lower Limbs Varicosis.
J. Medical Imaging Health Informatics
10 (9) (2020)
Jinquan Li
,
Jia Kang
,
Zhe Chen
,
Fang Cui
,
Zixuan Fan
A Workpiece Localization Method for Robotic De-Palletizing Based on Region Growing and PPHT.
IEEE Access
8 (2020)
Sihan Wang
,
Jia Kang
,
Mehmet Fatih Tasgetiren
,
Liang Gao
,
Damla Kizilay
Differential Evolution Through Variable Neighborhood Search for Constrained Real-Parameter Optimization Problems.
SSCI
(2019)
Wei-Zhong Yan
,
Jia Kang
,
Ding-Wen Zhang
Measure and Analysis of Influence Factors of Inbound Tourism Level in Shaanxi Based on Panel Data Model.
ICIT
(2018)
Xianjin Fang
,
Li Wang
,
Jia Kang
,
Jia Liu
树突细胞算法及其理论研究 (On Dendritic Cell Algorithm and its Theoretical Investigation).
计算机科学
42 (2) (2015)
Jia Kang
,
Naiyuan Chiang
,
Carl D. Laird
,
Victor M. Zavala
Nonlinear programming strategies on high-performance computers.
CDC
(2015)
Jia Kang
,
Arvind U. Raghunathan
,
Stefano Di Cairano
Decomposition via ADMM for scenario-based Model Predictive Control.
ACC
(2015)
Jia Kang
,
Yankai Cao
,
Daniel P. Word
,
Carl D. Laird
An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition.
Comput. Chem. Eng.
71 (2014)
Daniel P. Word
,
Jia Kang
,
Johan Åkesson
,
Carl D. Laird
Efficient parallel solution of large-scale nonlinear dynamic optimization problems.
Comput. Optim. Appl.
59 (3) (2014)
Bradley C. Pearce
,
David R. Langley
,
Jia Kang
,
Hongwei Huang
,
Amit Kulkarni
: An Automated Workflow for Efficient Structure-Based Lead Optimization.
J. Chem. Inf. Model.
49 (7) (2009)