A Low-Power High-PSRR CMOS Voltage Reference with Active-Feedback Frequency Compensation for IoT Applications. - Lidan Wang 001; Chenchang Zhan; Linjun He; Junyao Tang; Guanhua Wang; Yang Liu 061; Guofeng Li (ISCAS, 2018)

Replica-Based Low Drop-Out Voltage Regulator with Assistant Power Transistors for Digital VLSI Systems. - Yang Nan 001; Chenchang Zhan; Guanhua Wang; Linjun He; Han Li (ISVLSI, 2018)

A 0.5V 46.2ppm°C CMOS Voltage Reference Based on Compensated ΔVTH with Wide Temperature Range and High PSRR. - Linjun He; Chenchang Zhan; Yang Nan 001; Ning Zhang; Lidan Wang 001; Guofeng Li (NEWCAS, 2018)

A Wide-Load-Range Mixed-Mode LDO Regulator with Single-Transistor-Assisted Buffer. - Ning Zhang; Chenchang Zhan; Han Li; Linjun He (NEWCAS, 2018)

A 0.6-V Minimum-Supply, 23.5 ppm/°C Subthreshold CMOS Voltage Reference With 0.45% Variation Coefficient. - Chenyu Huang; Chenchang Zhan; Linjun He; Lidan Wang 001; Yang Nan 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

Regular Pareto Front Shape is not Realistic. - Hisao Ishibuchi; Linjun He; Ke Shang (CEC, 2019)

A Study of the Naïve Objective Space Normalization Method in MOEA/D. - Linjun He; Yang Nan 001; Ke Shang; Hisao Ishibuchi (SSCI, 2019)

Dynamic Normalization in MOEA/D for Multiobjective optimization. - Linjun He; Hisao Ishibuchi; Anupam Trivedi; Dipti Srinivasan (CEC, 2020)

Another difficulty of inverted triangular pareto fronts for decomposition-based multi-objective algorithms. - Linjun He; Auraham Camacho; Hisao Ishibuchi (GECCO, 2020)

Reverse Strategy for Non-Dominated Archiving. - Yang Nan 001; Ke Shang; Hisao Ishibuchi; Linjun He (IEEE Access, 2020)

Simultaneous use of two normalization methods in decomposition-based multi-objective evolutionary algorithms. - Linjun He; Ke Shang; Hisao Ishibuchi (Appl. Soft Comput., 2020)

A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator. - Yang Nan 001; Ke Shang; Hisao Ishibuchi; Linjun He (CEC, 2021)

Metric for evaluating normalization methods in multiobjective optimization. - Linjun He; Hisao Ishibuchi; Dipti Srinivasan (GECCO, 2021)

Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. - Jinyuan Zhang; Hisao Ishibuchi; Ke Shang; Linjun He; Lie Meng Pang; Yiming Peng (GECCO, 2021)

Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization. - Yang Nan 001; Ke Shang; Hisao Ishibuchi; Linjun He (SMC, 2021)

A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms. - Linjun He; Hisao Ishibuchi; Anupam Trivedi; Handing Wang; Yang Nan 001; Dipti Srinivasan (IEEE Trans. Evol. Comput., 2021)

A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization. - Ke Shang; Hisao Ishibuchi; Linjun He; Lie Meng Pang (IEEE Trans. Evol. Comput., 2021)

A classification-assisted environmental selection strategy for multiobjective optimization. - Jinyuan Zhang; Hisao Ishibuchi; Linjun He (Swarm Evol. Comput., 2022)

Preference-Based Nonlinear Normalization for Multiobjective Optimization. - Linjun He; Yang Nan 001; Hisao Ishibuchi; Dipti Srinivasan (EMO, 2023)

An Improved Fuzzy Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization Problems with Complicated Pareto Sets. - Jinyuan Zhang; Linjun He; Hisao Ishibuchi (EMO, 2023)

Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World Problems. - Linjun He; Yang Nan 001; Hisao Ishibuchi; Dipti Srinivasan (GECCO, 2023)

Effects of Initialization Methods on the Performance of Surrogate-Based Multiobjective Evolutionary Algorithms. - Jinyuan Zhang; Hisao Ishibuchi; Linjun He; Yang Nan 001 (SSCI, 2023)

Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms. - Linjun He; Auraham Camacho; Yang Nan 001; Anupam Trivedi; Hisao Ishibuchi; Dipti Srinivasan (Swarm Evol. Comput., 2023)

Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms. - Linjun He; Ke Shang; Yang Nan 001; Hisao Ishibuchi; Dipti Srinivasan (IEEE Trans. Evol. Comput., 2023)

An Improved Local Search Method for Large-Scale Hypervolume Subset Selection. - Yang Nan 001; Ke Shang; Hisao Ishibuchi; Linjun He (IEEE Trans. Evol. Comput., 2023)

Dual-Fuzzy-Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization. - Jinyuan Zhang; Linjun He; Hisao Ishibuchi (IEEE Trans. Evol. Comput., 2023)

Research on the legal system of economic-ecological synergistic compensation in carbon neutral marine cities with a background in big data. - Tingting Hao; Yuyan Ye; Peng Huang; Linjun He (Big Data Res., 2024)

Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective Optimization. - Lie Meng Pang; Hisao Ishibuchi; Linjun He; Ke Shang; Longcan Chen (IEEE Trans. Evol. Comput., 2024)