An Improved Clonal Algorithm in Multiobjective Optimization. - Jianyong Chen; Qiuzhen Lin; Qingbin Hu (J. Softw., 2009)

A hybrid immune multiobjective optimization algorithm. - Jianyong Chen; Qiuzhen Lin; Zhen Ji (Eur. J. Oper. Res., 2010)

Application of Novel Clonal Algorithm in Multiobjective Optimization. - Jianyong Chen; Qiuzhen Lin; Qingbin Hu (Int. J. Inf. Technol. Decis. Mak., 2010)

Simultaneous Arithmetic Coding and Encryption Using Chaotic Maps. - Kwok-Wo Wong; Qiuzhen Lin; Jianyong Chen (IEEE Trans. Circuits Syst. II Express Briefs, 2010)

Error detection in arithmetic coding with artificial markers. - Kwok-Wo Wong; Qiuzhen Lin; Jianyong Chen (Comput. Math. Appl., 2011)

An Immune-Inspired Evolution Strategy for Constrained Optimization Problems. - Jianyong Chen; Qiuzhen Lin; LinLin Shen (Int. J. Artif. Intell. Tools, 2011)

Chaos-based multi-objective immune algorithm with a fine-grained selection mechanism. - Jianyong Chen; Qiuzhen Lin; Zhen Ji (Soft Comput., 2011)

Generalized Arithmetic Coding using discrete Chaotic Maps. - Qiuzhen Lin; Kwok-Wo Wong; Jianyong Chen (Int. J. Bifurc. Chaos, 2012)

Improving the error correction capability of arithmetic coding by forecasting forbidden symbols. - Qiuzhen Lin; Kwok-Wo Wong (ISCAS, 2013)

A novel micro-population immune multiobjective optimization algorithm. - Qiuzhen Lin; Jianyong Chen (Comput. Oper. Res., 2013)

An enhanced variable-length arithmetic coding and encryption scheme using chaotic maps. - Qiuzhen Lin; Kwok-Wo Wong; Jianyong Chen (J. Syst. Softw., 2013)

An improved iterative decoding scheme based on error-resistant arithmetic code. - Qiuzhen Lin; Kwok-Wo Wong (ISCAS, 2014)

Enhance Differential Evolution Algorithm Based on Novel Mutation Strategy and Parameter Control Method. - Laizhong Cui; Genghui Li; Li Li; Qiuzhen Lin; Jianyong Chen; Nan Lu (ICONIP (1), 2015)

Joint quantization and diffusion for compressed sensing measurements of natural images. - Leo Yu Zhang; Kwok-Wo Wong; Yushu Zhang 001; Qiuzhen Lin (ISCAS, 2015)

A double-module immune algorithm for multi-objective optimization problems. - Zhengping Liang; Ruizhen Song; Qiuzhen Lin; Zhihua Du; Jianyong Chen; Zhong Ming 001; Jianping Yu (Appl. Soft Comput., 2015)

A novel hybrid multi-objective immune algorithm with adaptive differential evolution. - Qiuzhen Lin; Qingling Zhu; Peizhi Huang; Jianyong Chen; Zhong Ming 001; Jianping Yu (Comput. Oper. Res., 2015)

A novel multi-objective particle swarm optimization with multiple search strategies. - Qiuzhen Lin; Jianqiang Li 001; Zhihua Du; Jianyong Chen; Zhong Ming 001 (Eur. J. Oper. Res., 2015)

Artificial Bee Colony Algorithm Based on Neighboring Information Learning. - Laizhong Cui; Genghui Li; Qiuzhen Lin; Jianyong Chen; Nan Lu; Guanjing Zhang (ICONIP (3), 2016)

A Novel PSO-DE Co-evolutionary Algorithm Based on Decomposition Framework. - Shaoqiang Yang; Wenjun Wang 003; Qiuzhen Lin; Jianyong Chen (SmartCom, 2016)

A novel hybrid differential evolution algorithm with modified CoDE and JADE. - Genghui Li; Qiuzhen Lin; Laizhong Cui; Zhihua Du; Zhengping Liang; Jianyong Chen; Nan Lu; Zhong Ming 001 (Appl. Soft Comput., 2016)

A novel multiple rule sets data classification algorithm based on ant colony algorithm. - Zhengping Liang; Jiangtao Sun; Qiuzhen Lin; Zhihua Du; Jianyong Chen; Zhong Ming 001 (Appl. Soft Comput., 2016)

Adaptive differential evolution algorithm with novel mutation strategies in multiple sub-populations. - Laizhong Cui; Genghui Li; Qiuzhen Lin; Jianyong Chen; Nan Lu (Comput. Oper. Res., 2016)

Optimizing security and quality of service in a Real-time database system using Multi-objective genetic algorithm. - Xuancai Zhao; Qiuzhen Lin; Jianyong Chen; Xiaomin Wang; Jianping Yu; Zhong Ming 001 (Expert Syst. Appl., 2016)

A novel artificial bee colony algorithm with depth-first search framework and elite-guided search equation. - Laizhong Cui; Genghui Li; Qiuzhen Lin; Zhihua Du; Weifeng Gao; Jianyong Chen; Nan Lu (Inf. Sci., 2016)

Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm. - Qiuzhen Lin; Zhiwang Liu; Qiao Yan; Zhihua Du; Carlos A. Coello Coello; Zhengping Liang; Wenjun Wang 003; Jianyong Chen (Inf. Sci., 2016)

A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm. - Qingling Zhu; Qiuzhen Lin; Zhihua Du; Zhengping Liang; Wenjun Wang 003; Zexuan Zhu; Jianyong Chen; Peizhi Huang; Zhong Ming 001 (Inf. Sci., 2016)

A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems. - Qiuzhen Lin; Jianyong Chen; Zhi-Hui Zhan; Wei-Neng Chen; Carlos A. Coello Coello; Yilong Yin; Chih-Min Lin; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2016)

A Hybrid Path Planning Method in Unmanned Air/Ground Vehicle (UAV/UGV) Cooperative Systems. - Jianqiang Li 001; Genqiang Deng; Chengwen Luo 001; Qiuzhen Lin; Qiao Yan; Zhong Ming 001 (IEEE Trans. Veh. Technol., 2016)

A Novel Multi-objective Evolutionary Algorithm Based on a Further Decomposition Strategy. - Songbai Liu; Qiuzhen Lin; Jianyong Chen (CIS, 2017)

An Elite Archive-Based MOEA/D Algorithm. - Qingling Zhu; Qiuzhen Lin; Jianyong Chen (SEAL, 2017)

A local search enhanced differential evolutionary algorithm for sparse recovery. - Qiuzhen Lin; Bishan Hu; Ya Tang; Leo Yu Zhang; Jianyong Chen; Xiaomin Wang; Zhong Ming 001 (Appl. Soft Comput., 2017)

A novel adaptive control strategy for decomposition-based multiobjective algorithm. - Qiuzhen Lin; Chaoyu Tang; Yueping Ma; Zhihua Du; Jianqiang Li 001; Jianyong Chen; Zhong Ming 001 (Comput. Oper. Res., 2017)

A ranking-based adaptive artificial bee colony algorithm for global numerical optimization. - Laizhong Cui; Genghui Li; Xizhao Wang; Qiuzhen Lin; Jianyong Chen; Nan Lu; Jian Lu 002 (Inf. Sci., 2017)

A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization. - Laizhong Cui; Genghui Li; Zexuan Zhu; Qiuzhen Lin; Zhenkun Wen; Nan Lu; Ka-Chun Wong; Jianyong Chen (Inf. Sci., 2017)

An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm. - Qingling Zhu; Qiuzhen Lin; Wei-Neng Chen; Ka-Chun Wong; Carlos A. Coello Coello; Jianqiang Li 001; Jianyong Chen; Jun Zhang 003 (IEEE Trans. Cybern., 2017)

A Method of Accurately Accepting Tasks for New Workers Incorporating with Capacities and Competition Intensities. - Dunwei Gong; Chao Peng; Xinchao Zhao; Qiuzhen Lin (BIC-TA (2), 2018)

Using Weighted Extreme Learning Machine Combined with Scale-Invariant Feature Transform to Predict Protein-Protein Interactions from Protein Evolutionary Information. - Jianqiang Li 001; Xiaofeng Shi; Zhuhong You; Zhuangzhuang Chen; Qiuzhen Lin; Min Fang (ICIC (1), 2018)

A Novel Many-Objective Optimization Algorithm Based on the Hybrid Angle-Encouragement Decomposition. - Yuchao Su; Jia Wang 008; Lijia Ma; Xiaozhou Wang; Qiuzhen Lin; Jianyong Chen (ICIC (3), 2018)

A novel multi-objective co-evolutionary algorithm based on decomposition approach. - Zhengping Liang; Xuyong Wang; Qiuzhen Lin; Fei Chen 003; Jianyong Chen; Zhong Ming 001 (Appl. Soft Comput., 2018)

A novel artificial bee colony algorithm with local and global information interaction. - Qiuzhen Lin; Miaomiao Zhu; Genghui Li; Wenjun Wang 003; Laizhong Cui; Jianyong Chen; Jian Lu 002 (Appl. Soft Comput., 2018)

Multiobjective Personalized Recommendation Algorithm Using Extreme Point Guided Evolutionary Computation. - Qiuzhen Lin; Xiaozhou Wang; Bishan Hu; Lijia Ma; Fei Chen 003; Jianqiang Li 001; Carlos A. Coello Coello (Complex., 2018)

Adaptive multiple-elites-guided composite differential evolution algorithm with a shift mechanism. - Laizhong Cui; Genghui Li; Zexuan Zhu; Qiuzhen Lin; Ka-Chun Wong; Jianyong Chen; Nan Lu; Jian Lu 002 (Inf. Sci., 2018)

An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies. - Qiuzhen Lin; Yueping Ma; Jianyong Chen; Qingling Zhu; Carlos A. Coello Coello; Ka-Chun Wong; Fei Chen 003 (Inf. Sci., 2018)

A gene-level hybrid search framework for multiobjective evolutionary optimization. - Qingling Zhu; Qiuzhen Lin; Jianyong Chen (Neural Comput. Appl., 2018)

Objective reduction for many-objective optimization problems using objective subspace extraction. - Naili Luo; Xia Li 006; Qiuzhen Lin (Soft Comput., 2018)

A Diversity-Enhanced Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm. - Qiuzhen Lin; Genmiao Jin; Yueping Ma; Ka-Chun Wong; Carlos A. Coello Coello; Jianqiang Li 001; Jianyong Chen; Jun Zhang 003 (IEEE Trans. Cybern., 2018)

Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems. - Qiuzhen Lin; Songbai Liu; Qingling Zhu; Chaoyu Tang; Ruizhen Song; Jianyong Chen; Carlos A. Coello Coello; Ka-Chun Wong; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2018)

A Novel Multiobjective Particle Swarm Optimization Algorithm with Dynamic Resource Allocation. - Lingjie Li; Qiuzhen Lin; Jia Wang 008; Jianyong Chen; Zhong Ming 001 (CEC, 2019)

Multimodal Multi-objective Optimization Using A Density-based One-by-One Update Strategy. - Ruizhi Shi; Wu Lin; Qiuzhen Lin; Zexuan Zhu; Jianyong Chen (CEC, 2019)

Multifactorial Differential Evolution with Opposition-based Learning for Multi-tasking Optimization. - Yanan Yu; Anmin Zhu; Zexuan Zhu; Qiuzhen Lin; Jian Yin 004; Xiaoliang Ma 001 (CEC, 2019)

MOEA/D with Two Types of Weight Vectors for Handling Constraints. - Qingling Zhu; Qingfu Zhang 001; Qiuzhen Lin; Jianyong Sun (CEC, 2019)

Feature Selection Using an Improved Multi-objective Immune Algorithm for Intrusion Detection. - Wenhong Wei; Shuo Chen 012; Qiuzhen Lin; Junkai Ji; Jianyong Chen (SSCI, 2019)

A Novel Hybrid Multi-Objective Particle Swarm Optimization Algorithm With an Adaptive Resource Allocation Strategy. - Lingjie Li; Shuo Chen 012; Zhe Gong; Qiuzhen Lin; Zhong Ming 001 (IEEE Access, 2019)

A novel multi-objective immune algorithm with a decomposition-based clonal selection. - Lingjie Li; Qiuzhen Lin; Songbai Liu; Dunwei Gong; Carlos A. Coello Coello; Zhong Ming 001 (Appl. Soft Comput., 2019)

A hybridized angle-encouragement-based decomposition approach for many-objective optimization problems. - Yuchao Su; Jia Wang 008; Lijia Ma; Xiaozhou Wang; Qiuzhen Lin; Carlos A. Coello Coello; Jianyong Chen (Appl. Soft Comput., 2019)

Synergizing CRISPR/Cas9 off-target predictions for ensemble insights and practical applications. - Shixiong Zhang 002; Xiangtao Li; Qiuzhen Lin; Ka-Chun Wong (Bioinform., 2019)

Evolutionary Search with Multiple Utopian Reference Points in Decomposition-Based Multiobjective Optimization. - Wu Lin; Qiuzhen Lin; Zexuan Zhu; Jianqiang Li 001; Jianyong Chen; Zhong Ming 001 (Complex., 2019)

A Constrained Solution Update Strategy for Multiobjective Evolutionary Algorithm Based on Decomposition. - Yuchao Su; Qiuzhen Lin; Jia Wang 008; Jianqiang Li 001; Jianyong Chen; Zhong Ming 001 (Complex., 2019)

On Stability of Multi-Valued Nonlinear Feedback Shift Registers. - Haiyan Wang 009; Qiuzhen Lin; Jianyong Chen; Jianqiang Li 001; Jianghua Zhong; Dongdai Lin; Jia Wang 008; Lijia Ma (Complex., 2019)

DNA Sequencing Technologies: Sequencing Data Protocols and Bioinformatics Tools. - Ka-Chun Wong; Jiao Zhang 003; Shankai Yan; Xiangtao Li; Qiuzhen Lin; Sam Kwong; Cheng Liang 001 (ACM Comput. Surv., 2019)

Modular exponential multivariate sequence and its application to lightweight security design. - Jia Wang 008; Houbing Song; Jianqiang Li 001; Qiuzhen Lin; Lee-Ming Cheng (Future Gener. Comput. Syst., 2019)

Dynamic Scalable Elliptic Curve Cryptographic Scheme and Its Application to In-Vehicle Security. - Jia Wang 008; Jianqiang Li 001; Huihui Wang 001; Leo Yu Zhang; Lee-Ming Cheng; Qiuzhen Lin (IEEE Internet Things J., 2019)

A Rainbow-Based Authentical Scheme for Securing Smart Connected Health Systems. - Haibo Yi; Jianqiang Li 001; Qiuzhen Lin; Huihui Wang 001; Houbing Song; Zhong Ming 001; Zhe Nie (J. Medical Syst., 2019)

A multi-objective immune algorithm with dynamic population strategy. - Qiuzhen Lin; Qingling Zhu; Na Wang; Peizhi Huang; Wenjun Wang 003; Jianyong Chen; Zhong Ming 001 (Swarm Evol. Comput., 2019)

A novel multi-objective evolutionary algorithm with dynamic decomposition strategy. - Songbai Liu; Qiuzhen Lin; Ka-Chun Wong; Lijia Ma; Carlos A. Coello Coello; Dunwei Gong (Swarm Evol. Comput., 2019)

Reliable Link Inference for Network Data With Community Structures. - Lijia Ma; Jianqiang Li 001; Qiuzhen Lin; Maoguo Gong; Carlos A. Coello Coello; Zhong Ming 001 (IEEE Trans. Cybern., 2019)

A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems. - Qiuzhen Lin; Songbai Liu; Ka-Chun Wong; Maoguo Gong; Carlos A. Coello Coello; Jianyong Chen; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2019)

An Effective Ensemble Framework for Multiobjective Optimization. - Wenjun Wang 003; Shaoqiang Yang; Qiuzhen Lin; Qingfu Zhang 001; Ka-Chun Wong; Carlos A. Coello Coello; Jianyong Chen (IEEE Trans. Evol. Comput., 2019)

PathEmb: Random Walk Based Document Embedding for Global Pathway Similarity Search. - Jiao Zhang 003; Sam Kwong; Guangming Liu; Qiuzhen Lin; Ka-Chun Wong (IEEE J. Biomed. Health Informatics, 2019)

Balancing Convergence and Diversity in Multiobjective Immune Algorithm. - Lingjie Li; Wu Lin; Qiuzhen Lin; Zhong Ming 001 (ICACI, 2020)

A Short Survey of Multi-objective Immune Algorithm Based on Clonal Selection. - Lingjie Li; Qiuzhen Lin; Zhong Ming 001 (ICIC (2), 2020)

An Ensemble Classification Technique for Intrusion Detection Based on Dual Evolution. - Qiuzhen Lin; Chao Hu; Shuo Chen 012; Peizhi Huang (ICIC (2), 2020)

A multi-objective immune algorithm for intrusion feature selection. - Wenhong Wei; Shuo Chen 012; Qiuzhen Lin; Junkai Ji; Jianyong Chen (Appl. Soft Comput., 2020)

A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems. - Fei Chen 003; Shuhuan Wu; Fang Liu; Junkai Ji; Qiuzhen Lin (Complex., 2020)

Evolutionary Dendritic Neural Model for Classification Problems. - Xiaoxiao Qian; Cheng Tang 001; Yuki Todo; Qiuzhen Lin; Junkai Ji (Complex., 2020)

Decomposition-Based Multiobjective Evolutionary Optimization with Adaptive Multiple Gaussian Process Models. - Xunfeng Wu; Shiwen Zhang; Zhe Gong; Junkai Ji; Qiuzhen Lin; Jianyong Chen (Complex., 2020)

Dynamic Multiobjective Optimization with Multiple Response Strategies Based on Linear Environment Detection. - Qiyuan Yu; Shen Zhong; Zun Liu; Qiuzhen Lin; Peizhi Huang (Complex., 2020)

Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization. - Shixiong Zhang 002; Xiangtao Li; Qiuzhen Lin; Ka-Chun Wong (CoRR, 2020)

A survey of decomposition approaches in multiobjective evolutionary algorithms. - Jia Wang 008; Yuchao Su; Qiuzhen Lin; Lijia Ma; Dunwei Gong; Jianqiang Li 001; Zhong Ming 001 (Neurocomputing, 2020)

Multifactorial optimization via explicit multipopulation evolutionary framework. - Genghui Li; Qiuzhen Lin; Weifeng Gao (Inf. Sci., 2020)

An adaptive clustering-based evolutionary algorithm for many-objective optimization problems. - Songbai Liu; Qiyuan Yu; Qiuzhen Lin; Kay Chen Tan (Inf. Sci., 2020)

Community-aware dynamic network embedding by using deep autoencoder. - Lijia Ma; Yutao Zhang; Jianqiang Li 001; Qiuzhen Lin; Qing Bao; Shanfeng Wang; Maoguo Gong (Inf. Sci., 2020)

Blockchain for Internet of things applications: A review and open issues. - Fei Chen 003; Zhe Xiao; Laizhong Cui; Qiuzhen Lin; Jianqiang Li 001; Shui Yu 001 (J. Netw. Comput. Appl., 2020)

Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information. - Jianqiang Li 001; Xiaofeng Shi; Zhu-Hong You; Hai-Cheng Yi; Zhuangzhuang Chen; Qiuzhen Lin; Min Fang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors. - Ka-Chun Wong; Shankai Yan; Qiuzhen Lin; Xiangtao Li; Chengbin Peng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Privacy-Preserving Global Structural Balance Computation in Signed Networks. - Lijia Ma; Xiaopeng Huang; Jianqiang Li 001; Qiuzhen Lin; Zhuhong You; Maoguo Gong; Victor C. M. Leung (IEEE Trans. Comput. Soc. Syst., 2020)

Cost-Aware Robust Control of Signed Networks by Using a Memetic Algorithm. - Lijia Ma; Jianqiang Li 001; Qiuzhen Lin; Maoguo Gong; Carlos A. Coello Coello; Zhong Ming 001 (IEEE Trans. Cybern., 2020)

A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy. - Qingling Zhu; Qingfu Zhang 001; Qiuzhen Lin (IEEE Trans. Evol. Comput., 2020)

A Filter Model Based on Hidden Generalized Mixture Transition Distribution Model for Intrusion Detection System in Vehicle Ad Hoc Networks. - Junwei Liang 004; Qiuzhen Lin; Jianyong Chen; Yingying Zhu 001 (IEEE Trans. Intell. Transp. Syst., 2020)

An Adaptive Asynchronous Transfer Evolutionary Framework Towards Many-Task Optimization. - Baihao Chen; Huimei Tang; Qiuzhen Lin (CCIS, 2021)

A Classification-based Mixture-of-Kriging Assisted Evolutionary Algorithm for Expensive Many-objective Optimization. - Gaoli Kang; Xunfeng Wu; Qiuzhen Lin (CCIS, 2021)

A Multiobjective Multitask Evolutionary Algorithm Based on Decomposition and Multivariate Gaussian Distribution. - Zhongjian Wu; Wu Lin; Huimei Tang; Qiuzhen Lin (CCIS, 2021)

A Modified Decomposition Based Multi-objective Optimization Algorithm for High Dimensional Feature Selection. - Manlin Xuan; Lingjie Li; Qiuzhen Lin; Zhong Ming 001; Wenhong Wei (CCIS, 2021)

An Improved Weighted Optimization-based Framework for Large-scale MOPs. - Junhao Zheng; Lingjie Li; Qiuzhen Lin; Zhong Ming 001 (CEC, 2021)

Evolutionary Convolutional Neural Network: An Application to Intrusion Detection. - Yi Chen 020; Shuo Chen 012; Manlin Xuan; Qiuzhen Lin; Wenhong Wei (ICACI, 2021)

An Efficient Competitive Swarm Optimizer for Solving Large-Scale Multi-objective Optimization Problems. - Yongfeng Li; Lingjie Li; Qiuzhen Lin; Zhong Ming 001 (ICIC (1), 2021)

Adversarial Attacks and Defenses in Deep Learning: A Survey. - Chengyu Wang 007; Jia Wang 008; Qiuzhen Lin (ICIC (1), 2021)

A Fast-adaptive Edge Resource Allocation Strategy for Dynamic Vehicular Networks. - Ying He 006; Yuhang Wang; Qiuzhen Lin; Jianqiang Li 001; Victor C. M. Leung (ICNP, 2021)

Meaningful color image encryption algorithm based on compressive sensing and chaotic map. - Min Liu; Guodong Ye; Qiuzhen Lin (ISSRE Workshops, 2021)

Network Intrusion Detection by an Approximate Logic Neural Model. - Jiajun Zhao; Qiuzhen Lin; Junkai Ji (ISSRE Workshops, 2021)

Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression. - Minhui Dong; Cheng Tang 001; Junkai Ji; Qiuzhen Lin; Ka-Chun Wong (Appl. Soft Comput., 2021)

Multi-objective optimization using self-organizing decomposition and its application to crashworthiness design. - Lingjie Li; Qiuzhen Lin; Zhong Ming 001 (Appl. Soft Comput., 2021)

Forecasting Wind Speed Time Series Via Dendritic Neural Regression. - Junkai Ji; Minhui Dong; Qiuzhen Lin; Kay Chen Tan (IEEE Comput. Intell. Mag., 2021)

Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization. - Songbai Liu; Qiuzhen Lin; Kay Chen Tan; Qing Li 001 (CoRR, 2021)

Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach. - Ying He 006; Yuhang Wang; Chao Qiu; Qiuzhen Lin; Jianqiang Li 001; Zhong Ming 001 (IEEE Internet Things J., 2021)

Evolutionary multi and many-objective optimization via clustering for environmental selection. - Songbai Liu; Junhao Zheng; Qiuzhen Lin; Kay Chen Tan (Inf. Sci., 2021)

Artificial immune system training algorithm for a dendritic neuron model. - Cheng Tang 001; Yuki Todo; Junkai Ji; Qiuzhen Lin; Zheng Tang (Knowl. Based Syst., 2021)

Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm. - Lingjie Li; Qiuzhen Lin; Ke Li 001; Zhong Ming 001 (Swarm Evol. Comput., 2021)

Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection. - Wu Lin; Qiuzhen Lin; Junkai Ji; Zexuan Zhu; Carlos A. Coello Coello; Ka-Chun Wong (Swarm Evol. Comput., 2021)

A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion. - Qunfeng Liu; Xunfeng Wu; Qiuzhen Lin; Junkai Ji; Ka-Chun Wong (Swarm Evol. Comput., 2021)

Towards Dynamic Verifiable Pattern Matching. - Fei Chen 003; Donghong Wang; Qiuzhen Lin; Jianyong Chen; Zhong Ming 001; Wei Yu 002; Jing Qin 001 (IEEE Trans. Big Data, 2021)

Multi-Neighborhood Learning for Global Alignment in Biological Networks. - Lijia Ma; Shiqiang Wang 003; Qiuzhen Lin; Jianqiang Li 001; Zhuhong You; Jiaxiang Huang; Maoguo Gong (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Diversity-Sensitive Generative Adversarial Network for Terrain Mapping Under Limited Human Intervention. - Jianqiang Li 001; Zhuangzhuang Chen; Jie Chen 027; Qiuzhen Lin (IEEE Trans. Cybern., 2021)

Nature-Inspired Compressed Sensing for Transcriptomic Profiling From Random Composite Measurements. - Shixiong Zhang 002; Xiangtao Li; Qiuzhen Lin; Ka-Chun Wong (IEEE Trans. Cybern., 2021)

An Elite Gene Guided Reproduction Operator for Many-Objective Optimization. - Qingling Zhu; Qiuzhen Lin; Jianqiang Li 001; Carlos A. Coello Coello; Zhong Ming 001; Jianyong Chen; Jun Zhang 003 (IEEE Trans. Cybern., 2021)

Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces. - Qiuzhen Lin; Wu Lin; Zexuan Zhu; Maoguo Gong; Jianqiang Li 001; Carlos A. Coello Coello (IEEE Trans. Evol. Comput., 2021)

Accuracy Versus Simplification in an Approximate Logic Neural Model. - Junkai Ji; Yajiao Tang; Lijia Ma; Jianqiang Li 001; Qiuzhen Lin; Zheng Tang; Yuki Todo (IEEE Trans. Neural Networks Learn. Syst., 2021)

Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. - Haokai Hong; Min Jiang 005; Liang Feng 001; Qiuzhen Lin; Kay Chen Tan (CEC, 2022)

Evolutionary Large-Scale Multiobjective Optimization via Self-guided Problem Transformation. - Songbai Liu; Min Jiang 005; Qiuzhen Lin; Kay Chen Tan (CEC, 2022)

Dynamic Network Embedding by Using Sparse Deep Autoencoder. - Huimei Tang; Zengyang Shao; Yutao Zhang; Lijia Ma; Qiuzhen Lin (CICAI (3), 2022)

Evolutionary Neural Architecture Design of Liquid State Machine for Image Classification. - Cheng Tang 001; Junkai Ji; Qiuzhen Lin; Yan Zhou (ICASSP, 2022)

An Efficient Multi-objective Evolutionary Algorithm for a Practical Dynamic Pickup and Delivery Problem. - Junchuang Cai; Qingling Zhu; Qiuzhen Lin; Jianqiang Li 001; Jianyong Chen; Zhong Ming 001 (ICIC (1), 2022)

An Efficient Evaluation Mechanism for Evolutionary Reinforcement Learning. - Xiaoqiang Wu; Qingling Zhu; Qiuzhen Lin; Jianqiang Li 001; Jianyong Chen; Zhong Ming 001 (ICIC (1), 2022)

A convergence and diversity guided leader selection strategy for many-objective particle swarm optimization. - Lingjie Li; Yongfeng Li; Qiuzhen Lin; Zhong Ming 001; Carlos A. Coello Coello (Eng. Appl. Artif. Intell., 2022)

A survey of artificial immune algorithms for multi-objective optimization. - Lingjie Li; Qiuzhen Lin; Zhong Ming 001 (Neurocomputing, 2022)

Heuristics and metaheuristics for biological network alignment: A review. - Lijia Ma; Zengyang Shao; Lingling Li 002; Jiaxiang Huang; Shiqiang Wang 003; Qiuzhen Lin; Jian-Qiang Li 001; Maoguo Gong; Asoke K. Nandi (Neurocomputing, 2022)

Adversarial attacks and defenses in deep learning for image recognition: A survey. - Jia Wang 008; Chengyu Wang 007; Qiuzhen Lin; Chengwen Luo 001; Chao Wu; Jianqiang Li 001 (Neurocomputing, 2022)

Multiple source transfer learning for dynamic multiobjective optimization. - Yulong Ye; Qiuzhen Lin; Lijia Ma; Ka-Chun Wong; Maoguo Gong; Carlos A. Coello Coello (Inf. Sci., 2022)

Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing. - Yi Chen 020; Qiuzhen Lin; Wenhong Wei; Junkai Ji; Ka-Chun Wong; Carlos A. Coello Coello (Knowl. Based Syst., 2022)

PMCDM: Privacy-preserving multiresolution community detection in multiplex networks. - Zengyang Shao; Lijia Ma; Qiuzhen Lin; Jianqiang Li 001; Maoguo Gong; Asoke K. Nandi (Knowl. Based Syst., 2022)

Knowledge guided Bayesian classification for dynamic multi-objective optimization. - Yulong Ye; Lingjie Li; Qiuzhen Lin; Ka-Chun Wong; Jianqiang Li 001; Zhong Ming 001 (Knowl. Based Syst., 2022)

Variable neighborhood search for a new practical dynamic pickup and delivery problem. - Junchuang Cai; Qingling Zhu; Qiuzhen Lin (Swarm Evol. Comput., 2022)

Adaptive operator selection with test-and-apply structure for decomposition-based multi-objective optimization. - Lisha Dong; Qiuzhen Lin; Yu Zhou 027; Jianmin Jiang (Swarm Evol. Comput., 2022)

A self-organizing weighted optimization based framework for large-scale multi-objective optimization. - Yongfeng Li; Lingjie Li; Qiuzhen Lin; Ka-Chun Wong; Zhong Ming 001; Carlos A. Coello Coello (Swarm Evol. Comput., 2022)

Many-objective optimization by using an immune algorithm. - Yuchao Su; Naili Luo; Qiuzhen Lin; Xia Li 006 (Swarm Evol. Comput., 2022)

A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering. - Qiyuan Yu; Qiuzhen Lin; Zexuan Zhu; Ka-Chun Wong; Carlos A. Coello Coello (Swarm Evol. Comput., 2022)

A Memetic Path Planning Algorithm for Unmanned Air/Ground Vehicle Cooperative Detection Systems. - Jianqiang Li 001; Tao Sun; Xiaopeng Huang; Lijia Ma; Qiuzhen Lin; Jie Chen 027; Victor C. M. Leung (IEEE Trans Autom. Sci. Eng., 2022)

A Three-Level Radial Basis Function Method for Expensive Optimization. - Genghui Li; Qingfu Zhang 001; Qiuzhen Lin; Weifeng Gao (IEEE Trans. Cybern., 2022)

A Fuzzy Decomposition-Based Multi/Many-Objective Evolutionary Algorithm. - Songbai Liu; Qiuzhen Lin; Kay Chen Tan; Maoguo Gong; Carlos A. Coello Coello (IEEE Trans. Cybern., 2022)

A Variable Importance-Based Differential Evolution for Large-Scale Multiobjective Optimization. - Songbai Liu; Qiuzhen Lin; Ye Tian 009; Kay Chen Tan (IEEE Trans. Cybern., 2022)

A Self-Guided Reference Vector Strategy for Many-Objective Optimization. - Songbai Liu; Qiuzhen Lin; Ka-Chun Wong; Carlos A. Coello Coello; Jianqiang Li 001; Zhong Ming 001; Jun Zhang 003 (IEEE Trans. Cybern., 2022)

Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization. - Jianqiang Li 001; Tao Sun; Qiuzhen Lin; Min Jiang 005; Kay Chen Tan (IEEE Trans. Evol. Comput., 2022)

An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization. - Qiuzhen Lin; Xunfeng Wu; Lijia Ma; Jianqiang Li 001; Maoguo Gong; Carlos A. Coello Coello (IEEE Trans. Evol. Comput., 2022)

Evolutionary Architectural Search for Generative Adversarial Networks. - Qiuzhen Lin; Zhixiong Fang; Yi Chen 020; Kay Chen Tan; Yun Li 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets. - Lijia Ma; Yuchun Ma; Qiuzhen Lin; Junkai Ji; Carlos A. Coello Coello; Maoguo Gong (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

SRG-Vote: Predicting Mirna-Gene Relationships via Embedding and LSTM Ensemble. - Weidun Xie; Zetian Zheng; Weitong Zhang; Lei Huang; Qiuzhen Lin; Ka-Chun Wong (IEEE J. Biomed. Health Informatics, 2022)

Subclass-Specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma. - Zetian Zheng; Weidun Xie; Xingjian Chen; Fuzhou Wang; Lei Huang; Xiangtao Li; Qiuzhen Lin; Ka-Chun Wong (IEEE J. Biomed. Health Informatics, 2022)

Efficient Resource Allocation for Multi-Beam Satellite-Terrestrial Vehicular Networks: A Multi-Agent Actor-Critic Method With Attention Mechanism. - Ying He 006; Yuhang Wang; F. Richard Yu; Qiuzhen Lin; Jianqiang Li 001; Victor C. M. Leung (IEEE Trans. Intell. Transp. Syst., 2022)

A Comprehensive Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. - Songbai Liu; Qiuzhen Lin; Qing Li 001; Kay Chen Tan (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Enhancing Robustness and Resilience of Multiplex Networks Against Node-Community Cascading Failures. - Lijia Ma; Xiao Zhang; Jianqiang Li 001; Qiuzhen Lin; Maoguo Gong; Carlos A. Coello Coello; Asoke K. Nandi (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Meta-Hierarchical Reinforcement Learning (MHRL)-Based Dynamic Resource Allocation for Dynamic Vehicular Networks. - Ying He 006; Yuhang Wang; Qiuzhen Lin; Jianqiang Li 001 (IEEE Trans. Veh. Technol., 2022)

A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search. - Xun Zhou; Songbai Liu; Ka-Chun Wong; Qiuzhen Lin; Kay Chen Tan (ICMLC, 2023)

RRML: Privacy Preserving Machine Learning Based on Random Response Technology. - Jia Wang 008; Shiqing He; Qiuzhen Lin (NSS, 2023)

A Diversified Multi-objective Particle Swarm Optimization Algorithm for Unsupervised Band Selection of Hyperspectral Images. - Yuze Zhang; Lingjie Li; Zhijiao Xiao; Qiuzhen Lin; Zhong Ming 001 (ICSI (1), 2023)

A Recommender System Approach for Very Large-scale Multiobjective Optimization. - Haokai Hong; Min Jiang 005; Jonathan M. Garibaldi; Qiuzhen Lin; Kay Chen Tan (CoRR, 2023)

A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization. - Xunfeng Wu; Qiuzhen Lin; Wu Lin; Yulong Ye; Qingling Zhu; Victor C. M. Leung (Eng. Appl. Artif. Intell., 2023)

A novel molecular docking program based on a multi-swarm competitive algorithm. - Jin Zhou; Zhangfan Yang; Ying He 006; Junkai Ji; Qiuzhen Lin; Jianqiang Li 001 (Swarm Evol. Comput., 2023)

Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression. - Junkai Ji; Minhui Dong; Qiuzhen Lin; Kay Chen Tan (IEEE Trans. Cybern., 2023)

An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection. - Lingjie Li; Manlin Xuan; Qiuzhen Lin; Min Jiang 005; Zhong Ming 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Evolutionary Multitasking for Large-Scale Multiobjective Optimization. - Songbai Liu; Qiuzhen Lin; Liang Feng 001; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms. - Songbai Liu; Qiuzhen Lin; Ka-Chun Wong; Qing Li 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization. - Songbai Liu; Jun Li; Qiuzhen Lin; Ye Tian 009; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

A novel multimodal multiobjective memetic algorithm with a local detection mechanism and a clustering-based selection strategy. - Naili Luo; Yulong Ye; Wu Lin; Qiuzhen Lin; Victor C. M. Leung (Memetic Comput., 2023)

Multiresolution community detection in complex networks by using a decomposition based multiobjective memetic algorithm. - Zengyang Shao; Lijia Ma; Yuan Bai; Shanfeng Wang; Qiuzhen Lin; Jianqiang Li 001 (Memetic Comput., 2023)

An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization. - Qiuzhen Lin; Jun Li; Songbai Liu; Lijia Ma; Jian-Qiang Li 001; Jianyong Chen (Swarm Evol. Comput., 2023)

Multi-objective evolving long-short term memory networks with attention for network intrusion detection. - Wenhong Wei; Yi Chen 020; Qiuzhen Lin; Junkai Ji; Ka-Chun Wong; Jianqiang Li 001 (Appl. Soft Comput., 2023)

An Immune-Inspired Resource Allocation Strategy for Many-Objective Optimization. - Lingjie Li; Qiuzhen Lin; Zhong Ming 001; Ka-Chun Wong; Maoguo Gong; Carlos A. Coello Coello (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Efficient Resource Allocation in Multi-UAV Assisted Vehicular Networks With Security Constraint and Attention Mechanism. - Yuhang Wang; Ying He 006; F. Richard Yu; Qiuzhen Lin; Victor C. M. Leung (IEEE Trans. Wirel. Commun., 2023)

Multiobjective optimization algorithm with dynamic operator selection for feature selection in high-dimensional classification. - Wenhong Wei; Manlin Xuan; Lingjie Li; Qiuzhen Lin; Zhong Ming 001; Carlos A. Coello Coello (Appl. Soft Comput., 2023)

Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning. - Lijia Ma; Zengyang Shao; Xiaocong Li; Qiuzhen Lin; Jianqiang Li 001; Victor C. M. Leung; Asoke K. Nandi (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

An Ensemble Surrogate-Based Coevolutionary Algorithm for Solving Large-Scale Expensive Optimization Problems. - Xunfeng Wu; Qiuzhen Lin; Jianqiang Li 001; Kay Chen Tan; Victor C. M. Leung (IEEE Trans. Cybern., 2023)

A survey of dynamic pickup and delivery problems. - Junchuang Cai; Qingling Zhu; Qiuzhen Lin; Lijia Ma; Jianqiang Li 001; Zhong Ming 001 (Neurocomputing, 2023)

Redefined decision variable analysis method for large-scale optimization and its application to feature selection. - Yongfeng Li; Lingjie Li; Huimei Tang; Qiuzhen Lin; Zhong Ming 001; Victor C. M. Leung (Swarm Evol. Comput., 2023)

Adapting Decomposed Directions for Evolutionary Multiobjective Optimization. - Yuchao Su; Qiuzhen Lin; Zhong Ming 001; Kay Chen Tan (IEEE Trans. Cybern., 2023)

A survey on Evolutionary Reinforcement Learning algorithms. - Qingling Zhu; Xiaoqiang Wu; Qiuzhen Lin; Lijia Ma; Jianqiang Li 001; Zhong Ming 001; Jianyong Chen (Neurocomputing, 2023)

Competitive Decomposition-Based Multiobjective Architecture Search for the Dendritic Neural Model. - Junkai Ji; Jiajun Zhao; Qiuzhen Lin; Kay Chen Tan (IEEE Trans. Cybern., 2023)

AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking. - Junkai Ji; Jin Zhou; Zhangfan Yang; Qiuzhen Lin; Carlos A. Coello Coello (IEEE Trans. Evol. Comput., 2023)

A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization. - Songbai Liu; Qiuzhen Lin; Jianqiang Li 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation. - Qiuzhen Lin; Yangfan Chen; Lijia Ma; Wei-Neng Chen; Jianqiang Li 001 (AAAI, 2024)

Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation. - Qingling Zhu; Xiaoqiang Wu; Qiuzhen Lin; Wei-Neng Chen (AAAI, 2024)

Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy. - Xiaoqiang Wu; Qingling Zhu; Qiuzhen Lin; Weineng Chen; Jianqiang Li 001 (AAMAS, 2024)

Deep Reinforcement Learning for Solving the Vehicle Routing Problem in Practical Logistics. - Junchuang Cai; Xinzhi Zhang 008; Qiuzhen Lin; Lisha Dong; Weineng Chen; Zhong Ming 001 (CEC, 2024)

Evolutionary Multiobjective Feature Selection Assisted by Unselected Features. - Xuan Duan; Songbai Liu; Junkai Ji; Lingjie Li; Qiuzhen Lin; Kay Chen Tan (CEC, 2024)

A High-Dimensional Feature Selection Method via Selection and Non-selection Operators and Local Search Mechanism in Particle Swarm Optimization. - Zhouming Zhu; Lingjie Li; Zhijiao Xiao; Songbai Liu; Lijia Ma; Qiuzhen Lin; Zhong Ming 001 (ICIC (2), 2024)

Personalized Federated Learning with Enhanced Implicit Generalization. - Heping Liu; Songbai Liu; Junkai Ji; Qiuzhen Lin; Jianyong Chen; Kay Chen Tan (IJCNN, 2024)

NAS-SW: Efficient Neural Architecture Search with Stage-Wise Search Strategy. - Jikun Nie; Yeming Yang; Qingling Zhu; Qiuzhen Lin (IJCNN, 2024)

Deep Reinforcement Learning-Based Multi-Agent Algorithm for Vehicle Routing Problem in Complex Logistics Scenarios. - Xinzhi Zhang 008; Yeming Yang; Junchuang Cai; Qingling Zhu; Weineng Chen; Qiuzhen Lin (IJCNN, 2024)

Optimisation of sparse deep autoencoders for dynamic network embedding. - Huimei Tang; Yutao Zhang; Lijia Ma; Qiuzhen Lin; Liping Huang; Jianqiang Li 001; Maoguo Gong (CAAI Trans. Intell. Technol., 2024)

A localized decomposition evolutionary algorithm for imbalanced multi-objective optimization. - Yulong Ye; Qiuzhen Lin; Ka-Chun Wong; Jian-qiang Li 001; Zhong Ming 001; Carlos A. Coello Coello (Eng. Appl. Artif. Intell., 2024)

A Kriging-assisted evolutionary algorithm with multiple infill sampling for expensive many-objective optimization. - Qingling Zhu; Gaoli Kang; Xunfeng Wu; Qiuzhen Lin; Huimei Tang; Jianyong Chen (Eng. Appl. Artif. Intell., 2024)

A complementary fused method using GRU and XGBoost models for long-term solar energy hourly forecasting. - Yaojian Xu; Shaifeng Zheng; Qingling Zhu; Ka-Chun Wong; Xu Wang; Qiuzhen Lin (Expert Syst. Appl., 2024)

Evolutionary reinforcement learning with action sequence search for imperfect information games. - Xiaoqiang Wu; Qingling Zhu; Wei-Neng Chen; Qiuzhen Lin; Jianqiang Li 001; Carlos A. Coello Coello (Inf. Sci., 2024)

CAGAN: Constrained neural architecture search for GANs. - Yeming Yang; Xinzhi Zhang 008; Qingling Zhu; Weineng Chen; Ka-Chun Wong; Qiuzhen Lin (Knowl. Based Syst., 2024)

Generating logic circuit classifiers from dendritic neural model via multi-objective optimization. - Haochang Jin; Chengtao Yang; Junkai Ji; Jin Zhou; Qiuzhen Lin; Jianqiang Li 001 (Swarm Evol. Comput., 2024)

Multi-objective evolutionary neural architecture search for network intrusion detection. - Qiuzhen Lin; Zhihao Liu; Yeming Yang; Ka-Chun Wong; Yahui Lu; Jianqiang Li 001 (Swarm Evol. Comput., 2024)

Coevolutionary multitasking for constrained multiobjective optimization. - Songbai Liu; Zeyi Wang; Qiuzhen Lin; Jianyong Chen (Swarm Evol. Comput., 2024)

Multiobjective band selection approach via an adaptive particle swarm optimizer for remote sensing hyperspectral images. - Yuze Zhang; Qiuzhen Lin; Lingjie Li; Zhijiao Xiao; Zhong Ming 001; Victor C. M. Leung (Swarm Evol. Comput., 2024)

Multi-agent deep Q-network-based metaheuristic algorithm for Nurse Rostering Problem. - Xinzhi Zhang 008; Yeming Yang; Qingling Zhu; Qiuzhen Lin; Weineng Chen; Jianqiang Li 001; Carlos A. Coello Coello (Swarm Evol. Comput., 2024)

An Efficient Service-Aware Virtual Machine Scheduling Approach Based on Multi-Objective Evolutionary Algorithm. - Zhijiao Xiao; Qijie Qiu; Lingjie Li; Yuhong Feng; Qiuzhen Lin; Zhong Ming 001 (IEEE Trans. Serv. Comput., 2024)

A Two-Stage Hybrid Multi-Objective Optimization Evolutionary Algorithm for Computing Offloading in Sustainable Edge Computing. - Lingjie Li; Qijie Qiu; Zhijiao Xiao; Qiuzhen Lin; Jiongjiong Gu; Zhong Ming 001 (IEEE Trans. Consumer Electron., 2024)

Dynamic Multiobjective Evolutionary Optimization via Knowledge Transfer and Maintenance. - Qiuzhen Lin; Yulong Ye; Lijia Ma; Min Jiang 005; Kay Chen Tan (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking. - Wu Lin; Qiuzhen Lin; Liang Feng 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

Multiobjective Multitasking Optimization With Decomposition-Based Transfer Selection. - Qiuzhen Lin; Zhongjian Wu; Lijia Ma; Maoguo Gong; Jianqiang Li 001; Carlos A. Coello Coello (IEEE Trans. Cybern., 2024)

Neural Net-Enhanced Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. - Lingjie Li; Yongfeng Li; Qiuzhen Lin; Songbai Liu; Junwei Zhou 002; Zhong Ming 001; Carlos A. Coello Coello (IEEE Trans. Cybern., 2024)

Multitask-Based Evolutionary Optimization for Vehicle Routing Problems in Autonomous Transportation. - Jianqiang Li 001; Junchuang Cai; Tao Sun; Qingling Zhu; Qiuzhen Lin (IEEE Trans Autom. Sci. Eng., 2024)

Evolutionary Large-Scale Multiobjective Optimization via Autoencoder-Based Problem Transformation. - Songbai Liu; Jun Li; Qiuzhen Lin; Ye Tian 009; Jianqiang Li 001; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Decomposition-Based Multiobjective Evolutionary Optimization With Tabu Search for Dynamic Pickup and Delivery Problems. - Junchuang Cai; Qingling Zhu; Qiuzhen Lin; Zhong Ming 001; Kay Chen Tan (IEEE Trans. Intell. Transp. Syst., 2024)

Evolutionary Optimization with a Simplified Helper Task for High-Dimensional Expensive Multiobjective Problems. - Xunfeng Wu; Qiuzhen Lin; Junwei Zhou 002; Songbai Liu; Carlos A. Coello Coello; Victor C. M. Leung (ACM Trans. Evol. Learn. Optim., 2024)

Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach. - Haokai Hong; Min Jiang 005; Qiuzhen Lin; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Structure Balance and Gradient Matching-Based Signed Graph Condensation. - Rong Li; Long Xu; Songbai Liu; Junkai Ji; Lingjie Li; Qiuzhen Lin; Lijia Ma (AAAI, 2025)

Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks. - Xianxu Qiu; Haiming Huang; Weiwei Chen; Qiuzhen Lin; Wei-Neng Chen; Fuchun Sun 001 (AAAI, 2025)

An Enhanced Search Direction-Based Knowledge Transfer for Multiobjective Many-Tasking Evolutionary Optimization. - Wu Lin; Songbai Liu; Qingling Zhu; Qiuzhen Lin (CEC, 2025)

Joint computation offloading and service caching in Vehicular Edge Computing via a dynamic coevolutionary multiobjective optimization algorithm. - Qijie Qiu; Yulong Ye; Lingjie Li; Zhijiao Xiao; Qiuzhen Lin; Zhong Ming 001 (Expert Syst. Appl., 2025)

Multifactorial evolutionary deep reinforcement learning for multitask node combinatorial optimization in complex networks. - Lijia Ma; Long Xu; Xiaoqing Fan; Lingjie Li; Qiuzhen Lin; Jianqiang Li; Maoguo Gong (Inf. Sci., 2025)

Influence maximization in hypergraphs based on evolutionary deep reinforcement learning. - Long Xu; Lijia Ma; Qiuzhen Lin; Lingjie Li; Maoguo Gong; Jianqiang Li 001 (Inf. Sci., 2025)

Elucidating spatiotemporal chromatin dynamics with multi-stage differential variations from Hi-C. - Zhongshen Li; Jixiang Yu; Shen You; Leyi Wei; Qiuzhen Lin; Xiangtao Li; Ka-Chun Wong (Knowl. Based Syst., 2025)

Multi-view attention graph convolutional networks for the host prediction of phages. - Lijia Ma; Peng Gao; Wenxiang Zhou; Qiuzhen Lin; Yuan Bai; Min Fang; Zhihua Du; Jianqiang Li 001 (Knowl. Based Syst., 2025)

Personalized federated learning with multiple classifier aggregation. - Shaifeng Zheng; Qingling Zhu; Qiuzhen Lin; Songbai Liu; Ka-Chun Wong; Jian-Qiang Li 001 (Knowl. Based Syst., 2025)

Multifaceted collaborative evolutionary constrained multimodal multiobjective optimization. - Zeyi Wang; Songbai Liu; Lijia Ma; Qiuzhen Lin; Jianyong Chen (Swarm Evol. Comput., 2025)

Clustering-Based Short-Term Wind Speed Interval Prediction With Multi-Objective Ensemble Learning. - Qingling Zhu; Yaojian Xu; Qiuzhen Lin; Zhong Ming 001; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

DALC: Distributed Arithmetic Coding Aided by Linear Codes. - Junwei Zhou 002; Haoyun Xiao; Jianwen Xi; Qiuzhen Lin (CoRR, 2025)

A Logic Circuit-Based Intrusion Detection System Using a Dendritic Neural Model Ensemble. - Junkai Ji; Haochang Jin; Jiajun Zhao; Qiuzhen Lin; Jian-Qiang Li 001; Zexuan Zhu (IEEE Comput. Intell. Mag., 2025)

A Survey on Evolutionary Computation-Based Drug Discovery. - Qiyuan Yu; Qiuzhen Lin; Junkai Ji; Wei Zhou 001; Shan He 001; Zexuan Zhu; Kay Chen Tan (IEEE Trans. Evol. Comput., 2025)

Superpixel Segmentation-Based Evolutionary Multitasking Algorithm for Feature Selection of Hyperspectral Images. - Lingjie Li; Yuze Zhang; Qiuzhen Lin; Zhong Ming 001; Carlos A. Coello Coello; Victor C. M. Leung (IEEE Trans. Evol. Comput., 2025)

Learning-Based Directional Improvement Prediction for Dynamic Multiobjective Optimization. - Yulong Ye; Songbai Liu; Junwei Zhou 002; Qiuzhen Lin; Min Jiang 005; Kay Chen Tan (IEEE Trans. Evol. Comput., 2025)

An adaptive length-variation based evolutionary multitasking algorithm for feature selection of high-dimensional classification. - Lingjie Li; Yuze Zhang; Zhijiao Xiao; Qiuzhen Lin; Xin Wang 044; Xiuqiang He 002; Zhong Ming 001 (Expert Syst. Appl., 2026)

Evolutionary multi-task robust architecture search for network intrusion detection. - Yeming Yang; Zhihao Liu; Ka-Chun Wong; Qiuzhen Lin; Jianping Luo; Jian-Qiang Li 001 (Expert Syst. Appl., 2026)