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ORCIDJia Kang
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2020 – today
- 2024
[c7]Zhengxin Li
, Junfeng Zhao, Jia Kang:
Multi-source Anomaly Detection For Microservice Systems. ICSE Companion 2024: 414-415- [c6]Jia Kang, Junfeng Zhao, Zhengxin Li:
LogTIW:A log anomaly detection model based on TF-IDF weighted semantic features. IJCNN 2024: 1-7 - 2023
- [c5]Sheng Yang, Zheng Gong, Jia Kang:
An Improved End-to-End Audio-Visual Speech Recognition Model. INTERSPEECH 2023: 3093-3097 - 2021
- [j9]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: 106370 (2021) - 2020
- [j8]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: 33419-33427 (2020) - [j7]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: 111683-111692 (2020) - [j6]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: 166365-166376 (2020) - [j5]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): 2124-2129 (2020)
2010 – 2019
- 2019
- [c4]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: 2252-2260 - 2018
- [c3]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: 37-41 - 2015
- [j4]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): 131-133 (2015) - [c2]Jia Kang, Arvind U. Raghunathan, Stefano Di Cairano:
Decomposition via ADMM for scenario-based Model Predictive Control. ACC 2015: 1246-1251 - [c1]Jia Kang, Naiyuan Chiang, Carl D. Laird, Victor M. Zavala:
Nonlinear programming strategies on high-performance computers. CDC 2015: 4612-4620 - 2014
- [j3]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: 563-573 (2014) - [j2]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): 667-688 (2014) - 2011
- [p1]Hyonho Chun, Jia Kang, Xianghua Zhang, Minghua Deng, Haisu Ma, Hongyu Zhao:
Reverse Engineering of Gene Regulation Networks with an Application to the DREAM4 in silico Network Challenge. Handbook of Statistical Bioinformatics 2011: 461-477
2000 – 2009
- 2009
- [j1]Bradley C. Pearce, David R. Langley, Jia Kang, Hongwei Huang, Amit Kulkarni:
E-Novo: An Automated Workflow for Efficient Structure-Based Lead Optimization. J. Chem. Inf. Model. 49(7): 1797-1809 (2009)
Coauthor Index
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