A Hybrid Immune Evolutionary Computation Based on Immunity and Clonal Selection for Concurrent Mapping and Localization. - Meiyi Li; Zixing Cai; Yuexiang Shi; Pingan Gao (ICNC (3), 2005)

Immune Algorithms for Multi-solution Based on Partition and Local Recombination. - Meiyi Li (ICNC (3), 2007)

A branching-cutting Cultural algorithm for weak-constraints optimization. - Meiyi Li; Li Li; Jian Hu (ICNC, 2010)

An improved adaptive differential evolution based on double populations for constrained optimization problems. - Meiyi Li; Qianqian Qiu; Cheng He (ICNC, 2012)

The Binary Algorithm for finding the best weak-constraints in contradictory weak-constrained optimization problems. - Meiyi Li; Rong Lv (ICNC, 2014)

Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis. - Meiyi Li; Tao Zeng 003; Rui Liu 009; Luonan Chen (Briefings Bioinform., 2014)

Systematic computation with functional gene-sets among leukemic and hematopoietic stem cells reveals a favorable prognostic signature for acute myeloid leukemia. - Xinan Yang; Meiyi Li; Bin Wang; Wanqi Zhu; Aurelie Desgardin; Kenan Onel; Jill de Jong; Jianjun Chen; Luonan Chen; John M. Cunningham (BMC Bioinform., 2015)

Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals. - Tao Zeng 003; Wanwei Zhang; Xiangtian Yu; Xiaoping Liu 002; Meiyi Li; Luonan Chen (Briefings Bioinform., 2016)

Extreme learning machine for regression based on condition number and variance decomposition ratio. - Meiyi Li; Weibiao Cai; Qingshuai Sun (ICMAI, 2018)

Hybrid hierarchical extreme learning machine. - Meiyi Li; Changfei Wang; Qingshuai Sun (ICMAI, 2018)

Improved Ensemble Extreme Learning Machine Regression Algorithm. - Meiyi Li; Weibiao Cai; Xingwang Liu (IIP, 2018)

Data Distribution Based Weighted Extreme Learning Machine. - Meiyi Li; Qingshuai Sun; Xingwang Liu (ICMLT, 2019)

Top-down Feature Aggregation Block Fusion Network for Salient Object Detection. - Meiyi Li; Lide Zhou (ICMLT, 2020)

Virtual Inertia Control of the Virtual Synchronous Generator: A Review. - Meiyi Li; Wentao Huang; Nengling Tai; Dongliang Duan (CoRR, 2021)

A Fully Decentralized Tuning-free Inexact Projection Method for P2P Energy Trading. - Meiyi Li; Javad Mohammadi; Soummya Kar (CoRR, 2022)

Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time. - Meiyi Li; Yuhan Du; Javad Mohammadi; Constance Crozier; Kyri Baker; Soummya Kar (CoRR, 2022)

Day-ahead Demand Response Potential Forecasting Model Based on BILSTM for Load Aggregators. - Yuntong Lv; Di Yang; Zhitao Wang; Bingfang Xu; Meiyi Li; Xinxin Ge; Fei Wang (ISGT Asia, 2023)

Learning to Solve Optimization Problems With Hard Linear Constraints. - Meiyi Li; Soheil Kolouri; Javad Mohammadi (IEEE Access, 2023)

Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets. - Meiyi Li; Javad Mohammadi (CoRR, 2023)

Toward Rapid, Optimal, and Feasible Power Dispatch through Generalized Neural Mapping. - Meiyi Li; Javad Mohammadi (CoRR, 2023)

Towards Reliable Neural Optimizers: A Permutation Equivariant Neural Approximation for Information Processing Applications. - Meiyi Li; Javad Mohammadi (DDDAS/Infosymbiotics, 2024)

Teaching Networks to Solve Optimization Problems. - Xinran Liu; Yuzhe Lu; Ali Abbasi 008; Meiyi Li; Javad Mohammadi; Soheil Kolouri (IEEE Access, 2024)

Speeding Ticket: Unveiling the Energy and Emission Burden of AI-Accelerated Distributed and Decentralized Power Dispatch Models. - Meiyi Li; Javad Mohammadi (CoRR, 2024)

Balancing Passenger Transport and Power Distribution: A Distributed Dispatch Policy for Shared Autonomous Electric Vehicles. - Jake Robbennolt; Meiyi Li; Javad Mohammadi; Stephen D. Boyles (CoRR, 2024)

Learning to Optimize Joint Chance-constrained Power Dispatch Problems. - Meiyi Li; Javad Mohammadi (CoRR, 2025)

Impact of Data Poisoning Attacks on Feasibility and Optimality of Neural Power System Optimizers. - Nora Agah; Meiyi Li; Javad Mohammadi (CoRR, 2025)