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Meiyi Li
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2020 – today
- 2025
- [i12]Meiyi Li, Javad Mohammadi:
Learning to Optimize Joint Chance-constrained Power Dispatch Problems. CoRR abs/2501.12902 (2025) - [i11]Nora Agah, Meiyi Li, Javad Mohammadi:
Impact of Data Poisoning Attacks on Feasibility and Optimality of Neural Power System Optimizers. CoRR abs/2502.05727 (2025) - 2024
- [j5]Xinran Liu
, Yuzhe Lu, Ali Abbasi
Teaching Networks to Solve Optimization Problems. IEEE Access 12: 17102-17113 (2024) - [i10]Meiyi Li, Javad Mohammadi:
Towards Reliable Neural Optimizers: A Permutation Equivariant Neural Approximation for Information Processing Applications. CoRR abs/2407.05499 (2024) - [i9]Meiyi Li, Javad Mohammadi:
Speeding Ticket: Unveiling the Energy and Emission Burden of AI-Accelerated Distributed and Decentralized Power Dispatch Models. CoRR abs/2408.13968 (2024) - [i8]Jake Robbennolt, Meiyi Li, Javad Mohammadi, Stephen D. Boyles:
Balancing Passenger Transport and Power Distribution: A Distributed Dispatch Policy for Shared Autonomous Electric Vehicles. CoRR abs/2411.10444 (2024) - 2023
- [j4]Meiyi Li
Learning to Solve Optimization Problems With Hard Linear Constraints. IEEE Access 11: 59995-60004 (2023) - [c11]Yuntong Lv, Di Yang, Zhitao Wang, Bingfang Xu, Meiyi Li, Xinxin Ge, Fei Wang:
Day-ahead Demand Response Potential Forecasting Model Based on BILSTM for Load Aggregators. ISGT Asia 2023: 1-5 - [i7]Meiyi Li, Javad Mohammadi:
Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets. CoRR abs/2310.17882 (2023) - [i6]Meiyi Li, Javad Mohammadi:
Toward Rapid, Optimal, and Feasible Power Dispatch through Generalized Neural Mapping. CoRR abs/2311.04838 (2023) - 2022
- [i5]Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri:
Teaching Networks to Solve Optimization Problems. CoRR abs/2202.04104 (2022) - [i4]Meiyi Li, Javad Mohammadi, Soummya Kar:
A Fully Decentralized Tuning-free Inexact Projection Method for P2P Energy Trading. CoRR abs/2202.06106 (2022) - [i3]Meiyi Li, Yuhan Du, Javad Mohammadi, Constance Crozier, Kyri Baker, Soummya Kar
Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time. CoRR abs/2207.05216 (2022) - [i2]Meiyi Li, Soheil Kolouri, Javad Mohammadi:
Learning to Solve Optimization Problems with Hard Linear Constraints. CoRR abs/2208.10611 (2022) - 2021
- [i1]Meiyi Li, Wentao Huang, Nengling Tai, Dongliang Duan:
Virtual Inertia Control of the Virtual Synchronous Generator: A Review. CoRR abs/2109.07590 (2021) - 2020
- [c10]Meiyi Li, Lide Zhou:
Top-down Feature Aggregation Block Fusion Network for Salient Object Detection. ICMLT 2020: 72-78
2010 – 2019
- 2019
- [c9]Meiyi Li, Qingshuai Sun
Data Distribution Based Weighted Extreme Learning Machine. ICMLT 2019: 1-6 - 2018
- [c8]Meiyi Li, Changfei Wang, Qingshuai Sun
Hybrid hierarchical extreme learning machine. ICMAI 2018: 37-41 - [c7]Meiyi Li, Weibiao Cai, Qingshuai Sun
Extreme learning machine for regression based on condition number and variance decomposition ratio. ICMAI 2018: 42-45 - [c6]Meiyi Li, Weibiao Cai, Xingwang Liu:
Improved Ensemble Extreme Learning Machine Regression Algorithm. Intelligent Information Processing 2018: 12-19 - 2016
- [j3]Tao Zeng
Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals. Briefings Bioinform. 17(4): 576-592 (2016) - 2015
- [j2]Xinan Yang
Systematic computation with functional gene-sets among leukemic and hematopoietic stem cells reveals a favorable prognostic signature for acute myeloid leukemia. BMC Bioinform. 16: 97:1-97:21 (2015) - 2014
- [j1]Meiyi Li
Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis. Briefings Bioinform. 15(2): 229-243 (2014) - [c5]Meiyi Li, Rong Lv:
The Binary Algorithm for finding the best weak-constraints in contradictory weak-constrained optimization problems. ICNC 2014: 475-479 - 2012
- [c4]Meiyi Li, Qianqian Qiu, Cheng He:
An improved adaptive differential evolution based on double populations for constrained optimization problems. ICNC 2012: 1011-1015 - 2010
- [c3]Meiyi Li, Li Li, Jian Hu:
A branching-cutting Cultural algorithm for weak-constraints optimization. ICNC 2010: 3102-3105
2000 – 2009
- 2007
- [c2]Meiyi Li:
Immune Algorithms for Multi-solution Based on Partition and Local Recombination. ICNC (3) 2007: 667-671 - 2005
- [c1]Meiyi Li, Zixing Cai, Yuexiang Shi, Pingan Gao:
A Hybrid Immune Evolutionary Computation Based on Immunity and Clonal Selection for Concurrent Mapping and Localization. ICNC (3) 2005: 1308-1311
Coauthor Index
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