Unsupervised kernel learning for abnormal events detection. - Weiya Ren; Guohui Li; Boliang Sun; Kuihua Huang (Vis. Comput., 2015)

An F Test Based Method of Estimating the Number of Groups in an Organization. - Guangquan Cheng; Yang Ma; Jincai Huang 001; Kuihua Huang (ICTAI, 2017)

Allocation of Information Granularity: A Multi-Objective Evolutionary Optimization Using Conflict Information. - Xingchen Hu; Huangke Chen; Chao Chen 017; Boliang Sun; Jincai Huang 001; Kuihua Huang (FUZZ-IEEE, 2019)

Mellin Transform-Based Approach for Parameter Estimation of K Distribution Plus Noise. - Kuihua Huang; Chao Chen 017; Gui Gao (IEEE Access, 2019)

Small-Target Detection between SAR Images Based on Statistical Modeling of Log-Ratio Operator. - Chao Chen 017; Kuihua Huang; Gui Gao (Sensors, 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)

Coordinating Multi-Agent Deep Reinforcement Learning in Wargame. - Yanghui Fu; Xingxing Liang; Yang Ma; Kuihua Huang; Yan Li 003 (ACAI, 2020)

A Review of Naturalistic Decision-Making and Its Applications to the Future Military. - Ning Li 025; Jincai Huang 001; Yanghe Feng; Kuihua Huang; Guangquan Cheng (IEEE Access, 2020)

Using Variational Auto Encoding in Credit Card Fraud Detection. - Huang Tingfei; Guangquan Cheng; Kuihua Huang (IEEE Access, 2020)

A Deep Urban Hotspots Prediction Framework with Modeling Geography-Semantic Dynamics. - Hengyu Sha; Guangyin Jin; Guangquan Cheng; Jincai Huang 001; Kuihua Huang (SpatialDI, 2021)

A Novel Adaptive Sampling Strategy for Deep Reinforcement Learning. - Xingxing Liang; Li Chen 015; Yanghe Feng; Zhong Liu 002; Yang Ma; Kuihua Huang (Int. J. Comput. Intell. Appl., 2021)

Research on Order Acceptance Strategy for Military manufactures Based on Semi-Markov Average Reward Reinforcement Learning. - Xiaodi Yi; Kuihua Huang; Jincai Huang 001; Jing Qian; Jie Kang (MSIE, 2022)

Towards parallel intelligence: an interdisciplinary solution for complex systems. - Yong Zhao; Zhengqiu Zhu; Bin Chen 003; Sihang Qiu; Jincai Huang 001; Xin Lu 002; Weiyi Yang; Chuan Ai; Kuihua Huang; Cheng He; Yucheng Jin; Zhong Liu 002; et al. (CoRR, 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)

Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. - Wenxiao Deng; Wenbin Li 006; Tianyu Ding; Lei Wang 001; Hongguang Zhang; Kuihua Huang; Jing Huo; Yang Gao 001 (CVPR, 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 002 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 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 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2024)

Graph-CoRe: Graph Representation Learning with Contrastive Subgraph Replacement. - Jie Kang; Shixuan Liu; Kuihua Huang; Changjun Fan; Hua He; Chao Chen (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 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 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2024)

Task-Aware Few-Shot Image Generation via Dynamic Local Distribution Estimation and Sampling. - Zheng Gu 001; Wenbin Li 006; Tianyu Ding; Zhengli Wang; Jing Huo; Kuihua Huang; Yang Gao 001 (PRCV (2), 2024)

Optimization of large-scale UAV cluster confrontation game based on integrated evolution strategy. - Haiying Liu; Kun Wu; Kuihua Huang; Guangquan Cheng; Rui Wang 017; Guohua Liu (Clust. Comput., 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 001; Pengfei Li; Yunzheng Guo; Zhe Ma; Xian Guo; Kuihua Huang; et al. (CoRR, 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)

Adaptive wideband sensing scheme based on Bayesian experimental design. - Keyu Wu 004; Xingchen Hu; Hang Du; Kuihua Huang (Evol. Intell., 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)

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., 2024)

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)

DTIU: A self-supervised grid-enhanced diffusion model for trajectory imputation in unconstrained scenarios. - Zhijing Hu; Hao Yan; Kuihua Huang; Jin-Cai Huang 001; Zhong Liu 002; Changjun Fan (Knowl. Based Syst., 2025)

Noise Optimization in Artificial Neural Networks. - Li Xiao 005; Zeliang Zhang; Kuihua Huang; Jinyang Jiang 001; Yijie Peng (IEEE Trans Autom. Sci. Eng., 2025)

Efficient Learning for Selecting Top-m Context-Dependent Designs. - Gongbo Zhang; Sihua Chen; Kuihua Huang; Yijie Peng (IEEE Trans Autom. Sci. Eng., 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 001; Xuebo Zhang; Yongchun Fang; Kuihua Huang; Xian Guo (CoRR, 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 001; Xuebo Zhang; Yongchun Fang; Kuihua Huang; Xian Guo; Zhanghua Wu; et al. (CoRR, 2025)

The Expressive Power of Graph Neural Networks: A Survey. - Bingxu Zhang; Changjun Fan; Shixuan Liu; Kuihua Huang; Xiang Zhao 002; Jincai Huang 001; Zhong Liu 002 (IEEE Trans. Knowl. Data Eng., 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., 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 001; Ling Wang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 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, 2025)