Kuihua Huang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 18

Top Topics

Kernel Learning

Reinforcement Learning

Fraud Detection

Credit Card Fraud

Top Venues

Publications

Yubo Wang, Kuihua Huang, Wenyin Gong, Fei Ming
Bi-directional search based on constraint relaxation for constrained multi-objective optimization problems with large infeasible regions. Expert Syst. Appl. 239 (2024)
Haiying Liu, ZhiHao Li, Kuihua Huang, Rui Wang, Guangquan Cheng, Tiexiang Li
Evolutionary reinforcement learning algorithm for large-scale multi-agent cooperation and confrontation applications. J. Supercomput. 80 (2) (2024)
Haiying Liu, Zhaoyi He, Rui Wang, Kuihua Huang, Guangquan Cheng
A new multi-domain cooperative resource scheduling method using proximal policy optimization. Neural Comput. Appl. 36 (9) (2024)
Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. CoRR (2024)
Keyu Wu, Xingchen Hu, Hang Du, Kuihua Huang
Adaptive wideband sensing scheme based on Bayesian experimental design. Evol. Intell. 17 (1) (2024)
Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu
The Expressive Power of Graph Neural Networks: A Survey. CoRR (2023)
Yong Zhao, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Jincai Huang, Xin Lu, Weiyi Yang, Chuan Ai, Kuihua Huang, Cheng He, Yucheng Jin, Zhong Liu, Fei-Yue Wang
Towards parallel intelligence: an interdisciplinary solution for complex systems. CoRR (2023)
Xiaodi Yi, Kuihua Huang, Jincai Huang, Jing Qian, Jie Kang
Research on Order Acceptance Strategy for Military manufactures Based on Semi-Markov Average Reward Reinforcement Learning. MSIE (2022)
Hengyu Sha, Guangyin Jin, Guangquan Cheng, Jincai Huang, Kuihua Huang
A Deep Urban Hotspots Prediction Framework with Modeling Geography-Semantic Dynamics. SpatialDI (2021)
Xingxing Liang, Li Chen, Yanghe Feng, Zhong Liu, Yang Ma, Kuihua Huang
A Novel Adaptive Sampling Strategy for Deep Reinforcement Learning. Int. J. Comput. Intell. Appl. 20 (2) (2021)
Ning Li, Jincai Huang, Yanghe Feng, Kuihua Huang, Guangquan Cheng
A Review of Naturalistic Decision-Making and Its Applications to the Future Military. IEEE Access 8 (2020)
Huang Tingfei, Guangquan Cheng, Kuihua Huang
Using Variational Auto Encoding in Credit Card Fraud Detection. IEEE Access 8 (2020)
Yanghui Fu, Xingxing Liang, Yang Ma, Kuihua Huang, Yan Li
Coordinating Multi-Agent Deep Reinforcement Learning in Wargame. ACAI (2020)
Chao Chen, Kuihua Huang, Gui Gao
Small-Target Detection between SAR Images Based on Statistical Modeling of Log-Ratio Operator. Sensors 19 (6) (2019)
Gui Gao, Kuihua Huang, Sheng Gao, Juan He, Xi Zhang
Ship Detection Based on Oceanic Displaced Phase Center Antenna Technique in Along-Track Interferometric SAR. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (3) (2019)
Xingchen Hu, Huangke Chen, Chao Chen, Boliang Sun, Jincai Huang, Kuihua Huang
Allocation of Information Granularity: A Multi-Objective Evolutionary Optimization Using Conflict Information. FUZZ-IEEE (2019)
Kuihua Huang, Chao Chen, Gui Gao
Mellin Transform-Based Approach for Parameter Estimation of K Distribution Plus Noise. IEEE Access 7 (2019)
Guangquan Cheng, Yang Ma, Jincai Huang, Kuihua Huang
An F Test Based Method of Estimating the Number of Groups in an Organization. ICTAI (2017)
Weiya Ren, Guohui Li, Boliang Sun, Kuihua Huang
Unsupervised kernel learning for abnormal events detection. Vis. Comput. 31 (3) (2015)