Kuihua Huang

According to our database, Kuihua Huang authored at least 36 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Retrieval Augmented Learning: A Retrial-based Large Language Model Self-Supervised Learning and Autonomous Knowledge Generation.

Zongyuan Li, Pengfei Li, Runnan Qi, Yanan Ni, Lumin Jiang, Hui Wu, Xuebo Zhang, Kuihua Huang, Xian Guo

CoRR, May, 2025

Multi-Ship Dynamic Weapon-Target Assignment via Cooperative Distributional Reinforcement Learning With Dynamic Reward.

Zhe Peng, Zhifeng Lu, Xiao Mao, Feng Ye, Kuihua Huang, Guohua Wu, Ling Wang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Multi-Domain Collaborative Task Allocation and Conflict Resolution in Unmanned Systems under Complex Constraints.

Qihui Liu, Kuihua Huang, Haiying Liu, Rui Wang, Guangquan Cheng

Unmanned Syst., March, 2025

The Expressive Power of Graph Neural Networks: A Survey.

Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu

IEEE Trans. Knowl. Data Eng., March, 2025

Reflection of Episodes: Learning to Play Game from Expert and Self Experiences.

Xiaojie Xu, Zongyuan Li, Chang Lu, Runnan Qi, Yanan Ni, Lumin Jiang, Xiangbei Liu, Xuebo Zhang, Yongchun Fang, Kuihua Huang, Xian Guo, Zhanghua Wu, Zhenya Li

CoRR, February, 2025

Hierarchical Expert Prompt for Large-Language-Model: An Approach Defeat Elite AI in TextStarCraft II for the First Time.

Zongyuan Li, Chang Lu, Xiaojie Xu, Runnan Qi, Yanan Ni, Lumin Jiang, Xiangbei Liu, Xuebo Zhang, Yongchun Fang, Kuihua Huang, Xian Guo

CoRR, February, 2025

Efficient Learning for Selecting Top-m Context-Dependent Designs.

Gongbo Zhang, Sihua Chen, Kuihua Huang, Yijie Peng

IEEE Trans Autom. Sci. Eng., 2025

Noise Optimization in Artificial Neural Networks.

Li Xiao, Zeliang Zhang, Kuihua Huang, Jinyang Jiang, Yijie Peng

IEEE Trans Autom. Sci. Eng., 2025

DTIU: A self-supervised grid-enhanced diffusion model for trajectory imputation in unconstrained scenarios.

Zhijing Hu, Hao Yan, Kuihua Huang, Jin-Cai Huang, Zhong Liu, Changjun Fan

Knowl. Based Syst., 2025

Multi-UAV air combat cooperative game based on virtual opponent and value attention decomposition policy gradient.

Xiaojie Xu, Yunfan Wang, Xian Guo, Kuihua Huang, Xuebo Zhang

Expert Syst. Appl., 2025

2024

Evolutionary reinforcement learning algorithm for large-scale multi-agent cooperation and confrontation applications.

Haiying Liu, Zhihao Li, Kuihua Huang, Rui Wang, Guangquan Cheng, Tiexiang Li

J. Supercomput., January, 2024

A new multi-domain cooperative resource scheduling method using proximal policy optimization.

Haiying Liu, Zhaoyi He, Rui Wang, Kuihua Huang, Guangquan Cheng

Neural Comput. Appl., 2024

Adaptive wideband sensing scheme based on Bayesian experimental design.

Keyu Wu, Xingchen Hu, Hang Du, Kuihua Huang

Evol. Intell., 2024

Bi-directional search based on constraint relaxation for constrained multi-objective optimization problems with large infeasible regions.

Yubo Wang, Kuihua Huang, Wenyin Gong, Fei Ming

Expert Syst. Appl., 2024

LLM-PySC2: Starcraft II learning environment for Large Language Models.

Zongyuan Li, Yanan Ni, Runnan Qi, Lumin Jiang, Chang Lu, Xiaojie Xu, Xiangbei Liu, Pengfei Li, Yunzheng Guo, Zhe Ma, Xian Guo, Kuihua Huang, Xuebo Zhang

CoRR, 2024

Optimization of large-scale UAV cluster confrontation game based on integrated evolution strategy.

Haiying Liu, Kun Wu, Kuihua Huang, Guangquan Cheng, Rui Wang, Guohua Liu

Clust. Comput., 2024

Task-Aware Few-Shot Image Generation via Dynamic Local Distribution Estimation and Sampling.

Zheng Gu, Wenbin Li, Tianyu Ding, Zhengli Wang, Jing Huo, Kuihua Huang, Yang Gao

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

PentraFormer: Learning Agents for Automated Penetration Testing via Sequence Modeling.

Yunfei Wang, Shixuan Liu, Wenhao Wang, Cheng Zhu, Changjun Fan, Kuihua Huang, Chao Chen

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

Graph-CoRe: Graph Representation Learning with Contrastive Subgraph Replacement.

Jie Kang, Shixuan Liu, Kuihua Huang, Changjun Fan, Hua He, Chao Chen

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

STIOS: A Novel Self-supervised Diffusion Model for Trajectory Imputation in Open Environment Scenarios.

Zhijing Hu, Hao Yan, Yuhao Zheng, Hua He, Chao Chen, Changjun Fan, Kuihua Huang

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

LLM4HIN: Discovering Meta-path with Large Language Model for Reasoning on Complex Heterogeneous Information Networks.

Haoxiang Cheng, Shixuan Liu, Changjun Fan, Kuihua Huang, Hua He, Xianghan Wang, Zhong Liu

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation.

Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Competitive and Cooperative-Based Strength Pareto Evolutionary Algorithm for Green Distributed Heterogeneous Flow Shop Scheduling.

Kuihua Huang, Rui Li, Wenyin Gong, Weiwei Bian, Rui Wang

Intell. Autom. Soft Comput., 2023

Towards parallel intelligence: an interdisciplinary solution for complex systems.

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

CoRR, 2023

2022

Research on Order Acceptance Strategy for Military manufactures Based on Semi-Markov Average Reward Reinforcement Learning.

Xiaodi Yi, Kuihua Huang, Jincai Huang, Jing Qian, Jie Kang

Proceedings of the MSIE 2022: 4th International Conference on Management Science and Industrial Engineering, Chiang Mai Thailand, April 28, 2022

2021

A Novel Adaptive Sampling Strategy for Deep Reinforcement Learning.

Xingxing Liang, Li Chen, Yanghe Feng, Zhong Liu, Yang Ma, Kuihua Huang

Int. J. Comput. Intell. Appl., 2021

A Deep Urban Hotspots Prediction Framework with Modeling Geography-Semantic Dynamics.

Hengyu Sha, Guangyin Jin, Guangquan Cheng, Jincai Huang, Kuihua Huang

Proceedings of the Spatial Data and Intelligence - Second International Conference, 2021

2020

Using Variational Auto Encoding in Credit Card Fraud Detection.

Huang Tingfei, Guangquan Cheng, Kuihua Huang

IEEE Access, 2020

A Review of Naturalistic Decision-Making and Its Applications to the Future Military.

Ning Li, Jincai Huang, Yanghe Feng, Kuihua Huang, Guangquan Cheng

IEEE Access, 2020

Coordinating Multi-Agent Deep Reinforcement Learning in Wargame.

Yanghui Fu, Xingxing Liang, Yang Ma, Kuihua Huang, Yan Li

Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019

Ship Detection Based on Oceanic Displaced Phase Center Antenna Technique in Along-Track Interferometric SAR.

Gui Gao, Kuihua Huang, Sheng Gao, Juan He, Xi Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Small-Target Detection between SAR Images Based on Statistical Modeling of Log-Ratio Operator.

Chao Chen, Kuihua Huang, Gui Gao

Sensors, 2019

Mellin Transform-Based Approach for Parameter Estimation of K Distribution Plus Noise.

Kuihua Huang, Chao Chen, Gui Gao

IEEE Access, 2019

Allocation of Information Granularity: A Multi-Objective Evolutionary Optimization Using Conflict Information.

Xingchen Hu, Huangke Chen, Chao Chen, Boliang Sun, Jincai Huang, Kuihua Huang

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2017

An F Test Based Method of Estimating the Number of Groups in an Organization.

Guangquan Cheng, Yang Ma, Jincai Huang, Kuihua Huang

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2015

Unsupervised kernel learning for abnormal events detection.

Weiya Ren, Guohui Li, Boliang Sun, Kuihua Huang

Vis. Comput., 2015