Fitness-Probability Cloud and a Measure of Problem Hardness for Evolutionary Algorithms. - Guanzhou Lu; Jinlong Li 001; Xin Yao 001 (EvoCOP, 2011)

Fitness Landscape-Based Parameter Tuning Method for Evolutionary Algorithms for Computing Unique Input Output Sequences. - Jinlong Li 001; Guanzhou Lu; Xin Yao 001 (ICONIP (2), 2011)

MRSD: a web server for Metabolic Route Search and Design. - Deguo Xia; Haoran Zheng; Zhiqiang Liu; Guisheng Li; Jinlong Li 001; Jiong Hong; Kai Zhao (Bioinform., 2011)

A weighting-based local search heuristic algorithm for the Set Covering Problem. - Chao Gao; Thomas Weise 001; Jinlong Li 001 (IEEE Congress on Evolutionary Computation, 2014)

An improved Two Archive Algorithm for Many-Objective optimization. - Bingdong Li; Jinlong Li 001; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2014)

Fitness level based adaptive operator selection for cutting stock problems with contiguity. - Kai Zhang; Thomas Weise 001; Jinlong Li 001 (IEEE Congress on Evolutionary Computation, 2014)

Improve the 3-flip Neighborhood Local Search by Random Flat Move for the Set Covering Problem. - Chao Gao; Thomas Weise 001; Jinlong Li 001 (ICSI (1), 2014)

Many-Objective Evolutionary Algorithms: A Survey. - Bingdong Li; Jinlong Li 001; Ke Tang 001; Xin Yao 001 (ACM Comput. Surv., 2015)

An efficient local search heuristic with row weighting for the unicost set covering problem. - Chao Gao; Xin Yao 001; Thomas Weise 001; Jinlong Li 001 (Eur. J. Oper. Res., 2015)

Search based recommender system using many-objective evolutionary algorithm. - Bingdong Li; Chao Qian 001; Jinlong Li 001; Ke Tang 001; Xin Yao 001 (CEC, 2016)

Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators. - Bingdong Li; Ke Tang 001; Jinlong Li 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2016)

An iterative pseudo-gap enumeration approach for the Multidimensional Multiple-choice Knapsack Problem. - Chao Gao; Guanzhou Lu; Xin Yao 001; Jinlong Li 001 (Eur. J. Oper. Res., 2017)

Using Modified Determinantal Point Process Sampling to Update Population. - Tengfei Li 005; Jinlong Li 001 (CEC, 2018)

Tuning the hyper-parameters of CMA-ES with tree-structured Parzen estimators. - Meng Zhao; Jinlong Li 001 (ICACI, 2018)

An Automatic GPR B-Scan Image Interpreting Model. - Xiren Zhou; Huanhuan Chen; Jinlong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

A Cable-Mapping Algorithm Based on Ground-Penetrating Radar. - Guiping Jiang; Xiren Zhou; Jinlong Li 001; Huanhuan Chen (IEEE Geosci. Remote. Sens. Lett., 2019)

Probabilistic Mixture Model for Mapping the Underground Pipes. - Xiren Zhou; Huanhuan Chen; Jinlong Li 001 (ACM Trans. Knowl. Discov. Data, 2019)

Multiple Positional Self-Attention Network for Text Classification. - Biyun Dai; Jinlong Li 001; Ruoyi Xu (AAAI, 2020)

Do Models Learn the Directionality of Relations? A New Evaluation Task: Relation Direction Recognition. - Shengfei Lyu; Xingyu Wu; Jinlong Li 001; Qiuju Chen; Huanhuan Chen (CoRR, 2021)

A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes. - Peng Zhang; Jinlong Li 001; Tengfei Li 005; Huanhuan Chen (IEEE Trans. Evol. Comput., 2021)

Two-Replacements Policy Island Model on GPU. - Faiza Amin; Jinlong Li 001 (ICSI (2), 2022)

Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition. - Shengfei Lyu; Xingyu Wu; Jinlong Li 001; Qiuju Chen; Huanhuan Chen (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Temporal pattern mining from user-generated content. - Adnan Ali 002; Jinlong Li 001; Huanhuan Chen; Ali Kashif Bashir (Digit. Commun. Networks, 2022)

Real-Time Spammers Detection Based on Metadata Features with Machine Learning. - Adnan Ali 002; Jinlong Li 001; Huanhuan Chen; Uzair Aslam Bhatti; Asad Khan (Intell. Autom. Soft Comput., 2023)

Heterogeneous data augmentation in graph contrastive learning for effective negative samples. - Adnan Ali 002; Jinlong Li 001; Huanhuan Chen (Comput. Electr. Eng., 2024)

Features based adaptive augmentation for graph contrastive learning. - Adnan Ali 002; Jinlong Li 001 (Digit. Signal Process., 2024)

From overfitting to robustness: Quantity, quality, and variety oriented negative sample selection in graph contrastive learning. - Adnan Ali 002; Jinlong Li 001; Huanhuan Chen; Ali Kashif Bashir (Appl. Soft Comput., 2025)