Solving Traveling Salesman Problem by Ant Colony Optimization Algorithm with Association Rule. - Shang Gao 001; Lei Zhang; Fengting Zhuang; Chunxian Zhang (ICNC (3), 2007)

Immune Genetic Algorithm for Weapon-Target Assignment Problem. - Shang Gao 001; Zaiyue Zhang; Xiaoru Zhang; Cungen Cao (IITA, 2007)

Multiplication Operation on Fuzzy Numbers. - Shang Gao 001; Zaiyue Zhang; Cungen Cao (J. Softw., 2009)

Multiplicate Particle Swarm Optimization Algorithm. - Shang Gao 001; Zaiyue Zhang; Cungen Cao (J. Comput., 2010)

Calculating Weights Methods in Complete Matrices and Incomplete Matrices. - Shang Gao 001; Zaiyue Zhang; Cungen Cao (J. Softw., 2010)

A Novel Ant Colony Genetic Hybrid Algorithm. - Shang Gao 001; Zaiyue Zhang; Cungen Cao (J. Softw., 2010)

Differentiation and Numerical Integral of the Cubic Spline Interpolation. - Shang Gao 001; Zaiyue Zhang; Cungen Cao (J. Comput., 2011)

On a Generalization of Cubic Spline Interpolation. - Shang Gao 001; Zaiyue Zhang; Cungen Cao (J. Softw., 2011)

Road Traffic Freight Volume Forecast Using Support Vector Machine Combining Forecasting. - Shang Gao 001; Zaiyue Zhang; Cungen Cao (J. Softw., 2011)

Particle Swarm Optimization Algorithm for the Shortest Confidence Interval Problem. - Shang Gao 001; Zaiyue Zhang; Cungen Cao (J. Comput., 2012)

Estimation of Distribution Algorithms for Knapsack Problem. - Shang Gao 001; Ling Qiu; Cungen Cao (J. Softw., 2014)

A new sparse representation-based classification algorithm using iterative class elimination. - Xiaoning Song; Zi Liu; Xibei Yang; Shang Gao 001 (Neural Comput. Appl., 2014)

改进的正态分布的分布估计算法 (Improved Estimation of Distribution Algorithms Based on Normal Distribution). - Ling Qiu; Shang Gao 001; Cungen Cao (计算机科学, 2015)

摸石头过河算法与分布估计混合算法 (Solving Continuous Optimization Problem by Hybrid Wading across Stream Algorithm-Estimation Distribution Algorithm). - Shang Gao 001; Cungen Cao (计算机科学, 2016)

Diversity-Aware Recommendation by User Interest Domain Coverage Maximization. - Yifan He; Haitao Zou; Hualong Yu; Qi Wang 092; Shang Gao 001 (ICDM, 2019)

Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data. - Ke Cheng; Chen Zhang; Hualong Yu; Xibei Yang; Haitao Zou; Shang Gao 001 (IEEE Access, 2019)

Pseudo-label neighborhood rough set: Measures and attribute reductions. - Xibei Yang; Shaochen Liang; Hualong Yu; Shang Gao 001; Yuhua Qian (Int. J. Approx. Reason., 2019)

Boosting label weighted extreme learning machine for classifying multi-label imbalanced data. - Ke Cheng; Shang Gao 001; Wenlu Dong; Xibei Yang; Qi Wang 092; Hualong Yu (Neurocomputing, 2020)

Adaptive and efficient high-order rating distance optimization model with slack variable. - Yifan He; Haitao Zou; Hualong Yu; Shang Zheng; Shang Gao 001 (Knowl. Based Syst., 2020)

Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data. - Shang Gao 001; Wenlu Dong; Ke Cheng; Xibei Yang; Shang Zheng; Hualong Yu (Neural Process. Lett., 2020)

Software Defect Prediction Based on Fuzzy Weighted Extreme Learning Machine with Relative Density Information. - Shang Zheng; Jinjing Gai; Hualong Yu; Haitao Zou; Shang Gao 001 (Sci. Program., 2020)

Online sequential extreme learning machine with the increased classes. - Hualong Yu; Houjuan Xie; Xibei Yang; Haitao Zou; Shang Gao 001 (Comput. Electr. Eng., 2021)

Training data selection for imbalanced cross-project defect prediction. - Shang Zheng; Jinjing Gai; Hualong Yu; Haitao Zou; Shang Gao 001 (Comput. Electr. Eng., 2021)

Early Warning of Gas Concentration in Coal Mines Production Based on Probability Density Machine. - Yadong Cai; Shiqi Wu; Ming Zhou; Shang Gao 001; Hualong Yu (Sensors, 2021)

An Exploration of Online Missing Value Imputation in Non-stationary Data Stream. - Wenlu Dong; Shang Gao 001; Xibei Yang; Hualong Yu (SN Comput. Sci., 2021)

Probability Density Machine: A New Solution of Class Imbalance Learning. - Ruihan Cheng; Longfei Zhang; Shiqi Wu; Sen Xu; Shang Gao 001; Hualong Yu (Sci. Program., 2021)

DME: An Adaptive and Just-in-Time Weighted Ensemble Learning Method for Classifying Block-Based Concept Drift Steam. - Baoquan Feng; Yan Gu; Hualong Yu; Xibei Yang; Shang Gao 001 (IEEE Access, 2022)

Hierarchical sequential three-way decision model. - Jin Qian; DaWei Tang; Ying Yu; Xibei Yang; Shang Gao 001 (Int. J. Approx. Reason., 2022)

SMOTE-RkNN: A hybrid re-sampling method based on SMOTE and reverse k-nearest neighbors. - Aimin Zhang; Hualong Yu; Zhangjun Huan; Xibei Yang; Shang Zheng; Shang Gao 001 (Inf. Sci., 2022)

B-APFDQN: A UAV Path Planning Algorithm Based on Deep Q-Network and Artificial Potential Field. - Fuchen Kong; Qi Wang 092; Shang Gao 001; Hualong Yu (IEEE Access, 2023)

Heterogeneous Cross-Project Defect Prediction via Optimal Transport. - Xing Zong; Guiyu Li; Shang Zheng; Haitao Zou; Hualong Yu; Shang Gao 001 (IEEE Access, 2023)

Anomaly Detection of UAV State Data Based on Single-class Triangular Global Alignment Kernel Extreme Learning Machine. - Feisha Hu; Qi Wang 092; Haijian Shao; Shang Gao 001; Hualong Yu (CoRR, 2023)

RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning. - Shanlin Zhou; Yan Gu; Hualong Yu; Xibei Yang; Shang Gao 001 (J. King Saud Univ. Comput. Inf. Sci., 2023)

Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously. - Yan Gu; Hualong Yu; Xibei Yang; Shang Gao 001 (Neural Process. Lett., 2023)

PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity. - Yan Gu; Jicong Duan; Hualong Yu; Xibei Yang; Shang Gao 001 (Appl. Intell., 2023)

A partition-based problem transformation algorithm for classifying imbalanced multi-label data. - Jicong Duan; Xibei Yang; Shang Gao 001; Hualong Yu (Eng. Appl. Artif. Intell., 2024)

E3WD: A three-way decision model based on ensemble learning. - Jin Qian; Di Wang; Ying Yu; Xibei Yang; Shang Gao 001 (Inf. Sci., 2024)

GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation. - Xing Zong; Shang Zheng; Haitao Zou; Hualong Yu; Shang Gao 001 (Sci. Comput. Program., 2024)

ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data. - Jicong Duan; Yan Gu; Hualong Yu; Xibei Yang; Shang Gao 001 (Expert Syst. Appl., 2024)

SNN-PDM: An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique. - Shiqi Wu; Hualong Yu; Yan Gu; Changbin Shao; Shang Gao 001 (J. Classif., 2024)

SwinVision: Detecting Small Objects in Low-Light Environments. - Tao Dai; Qi Wang 092; Yuancheng Shen; Shang Gao 001 (IEEE Access, 2025)

FADQN: A Heuristic Reinforcement Learning Mechanism for UAV Path Planning in Unknown Environment. - Wei Sun; Jing Huan; Qi Wang 092; Hualong Yu; Shang Gao 001 (IEEE Access, 2025)

ST-D3QN: Advancing UAV Path Planning With an Enhanced Deep Reinforcement Learning Framework in Ultra-Low Altitudes. - Anping Yang; Jing Huan; Qi Wang 092; Hualong Yu; Shang Gao 001 (IEEE Access, 2025)

A new ranking aggregation model Based on S3WD and PSO for hybrid multi-criteria decision making. - Jin Qian; Di Wang; Ying Yu; Xibei Yang; Shang Gao 001 (Appl. Soft Comput., 2025)

Model compression through distillation with cross-layer integrated guidance at word level. - Guiyu Li; Shang Zheng; Haitao Zou; Hualong Yu; Shang Gao 001 (Neurocomputing, 2025)

Balancing quality and efficiency: An improved non-autoregressive model for pseudocode-to-code conversion. - Yongrui Xu; Shang Zheng; Haitao Zou; Hualong Yu; Shang Gao 001 (J. Syst. Softw., 2025)