Research on hydropower station optimal scheduling considering ecological water demand. - Wanliang Wang; Li Li 037; Xinli Xu; Xu Cheng; Yanwei Zhao (CIES, 2013)

An improved decomposition-based multiobjective evolutionary algorithm with a better balance of convergence and diversity. - Senliang Ying; Li Li 037; Zheng Wang 048; Weikun Li; Wanliang Wang (Appl. Soft Comput., 2017)

Multi-objective particle swarm optimization based on global margin ranking. - Li Li 037; Wanliang Wang; Xinli Xu (Inf. Sci., 2017)

基于模拟退火的自适应水波优化算法 (Adaptive Water Wave Optimization Algorithm Based on Simulated Annealing). - Wanliang Wang; Chao Chen; Li Li 037; Weikun Li (计算机科学, 2017)

Opposition-based multi-objective whale optimization algorithm with global grid ranking. - Wanliang Wang; Weikun Li; Zheng Wang 048; Li Li 037 (Neurocomputing, 2019)

A Novel Evolutionary Algorithm with Pareto Front Adaption for Many-objective Optimization. - Li Li 037; Avimanyu Sahoo; Liang Chang 003 (ACC, 2020)

A Multi-objective Evolutionary Algorithm based on R2 Indicator for Pickup and Delivery Problem with Time Windows. - Li Li 037; Avimanyu Sahoo; Liang Chang 003 (SSCI, 2020)

A many-objective particle swarm optimization with grid dominance ranking and clustering. - Li Li 037; Guangpeng Li; Liang Chang 003 (Appl. Soft Comput., 2020)

On the estimation of pareto front and dimensional similarity in many-objective evolutionary algorithm. - Li Li 037; Gary G. Yen; Avimanyu Sahoo; Liang Chang 003; Tianlong Gu (Inf. Sci., 2021)

On the Norm of Dominant Difference for Many-Objective Particle Swarm Optimization. - Li Li 037; Liang Chang 003; Tianlong Gu; Weiguo Sheng 001; Wanliang Wang (IEEE Trans. Cybern., 2021)

MOEA/D with Adaptive Constraint Handling for Constrained Multi-objective Optimization. - Li Li 037; Guangpeng Li; Liang Chang 003; Wanliang Wang (CSCWD, 2022)

On self-adaptive stochastic ranking in decomposition many-objective evolutionary optimization. - Li Li 037; Guangpeng Li; Liang Chang 003 (Neurocomputing, 2022)

Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy. - Wanliang Wang; Guoqing Li; Yule Wang; Fei Wu 026; Weiwei Zhang 003; Li Li 037 (Swarm Evol. Comput., 2022)

Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks. - Zihao Xu; Chenglong Zhang; Zhaolong Ling; Peng Zhou 006; Yan Zhong 001; Li Li 037; Han Zhang; Weiguo Sheng 001; Bingbing Jiang 001 (IJCNN, 2024)

Structured collaborative sparse dictionary learning for monitoring of multimode processes. - Yi Liu 037; Jiusun Zeng; Bingbing Jiang 001; Weiguo Sheng 001; Zidong Wang 001; Lei Xie 007; Li Li 037 (Inf. Sci., 2024)

Nonlinear learning method for local causal structures. - Xingyu Wu; Yan Zhong 001; Zhaolong Ling; Jie Yang 052; Li Li 037; Weiguo Sheng 001; Bingbing Jiang 001 (Inf. Sci., 2024)

A Local Pareto Front Estimation Framework for Multi-Objective Optimization. - Li Li 037; Guangpeng Li; Guoyong Cai (CSCWD, 2025)

Memetic Differential Evolution With Adaptive Niching Selection and Diversity-Driven Strategies for Multimodal Optimization. - Yufeng Feng; Weiguo Sheng 001; Zidong Wang 001; Gang Xiao 001; Qi Li 021; Li Li 037; Zuling Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2025)