10 citations · 14 across the 25 of their papers we have counts for
11 papers · 1 filter
GAMA: A Neural Neighborhood Search Method with Graph-aware Multi-modal Attention for Vehicle Routing Problem
Xiangling Chen, Yi Mei, Mengjie Zhang
Recent advances in neural neighborhood search methods have shown potential in tackling Vehicle Routing Problems (VRPs). However, most existing approaches rely on simplistic state r…
SymLight: Exploring Interpretable and Deployable Symbolic Policies for Traffic Signal Control
Xiao-Cheng Liao, Yi Mei, Mengjie Zhang
Deep Reinforcement Learning have achieved significant success in automatically devising effective traffic signal control (TSC) policies. Neural policies, however, tend to be over-p…
DyRo-MCTS: A Robust Monte Carlo Tree Search Approach to Dynamic Job Shop Scheduling
Ruiqi Chen, Yi Mei, Fangfang Zhang +1
Dynamic job shop scheduling, a fundamental combinatorial optimisation problem in various industrial sectors, poses substantial challenges for effective scheduling due to frequent d…
Lifelong Learning with Behavior Consolidation for Vehicle Routing
Jiyuan Pei, Yi Mei, Jialin Liu +2
Recent neural solvers have demonstrated promising performance in learning to solve routing problems. However, existing studies are primarily based on one-off training on one or a s…
GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy
Xiao-Cheng Liao, Yi Mei, Mengjie Zhang
Recently, learning-based approaches, have achieved significant success in automatically devising effective traffic signal control strategies. In particular, as a powerful evolution…
Bridging Fitness With Search Spaces By Fitness Supremums: A Theoretical Study on LGP
Zhixing Huang, Yi Mei, Fangfang Zhang +2
Genetic programming has undergone rapid development in recent years. However, theoretical studies of genetic programming are far behind. One of the major obstacles to theoretical s…
LiBOG: Lifelong Learning for Black-Box Optimizer Generation
Jiyuan Pei, Yi Mei, Jialin Liu +1
Meta-Black-Box Optimization (MetaBBO) garners attention due to its success in automating the configuration and generation of black-box optimizers, significantly reducing the human…
Curriculum Learning in Genetic Programming Guided Local Search for Large-scale Vehicle Routing Problems
Saining Liu, Yi Mei, Mengjie Zhang
Manually designing (meta-)heuristics for the Vehicle Routing Problem (VRP) is a challenging task that requires significant domain expertise. Recently, data-driven approaches have e…
Decoding One Safety Trigger Token for Balancing Safety and Usability in Large Language Models
Haoran Gu, Handing Wang, Yi Mei +2
Large Language Models (LLMs) have been extensively used across diverse domains, including virtual assistants, automated code generation, and scientific research. However, they rema…
ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models using Pareto High-quality Data
Haoran Gu, Handing Wang, Yi Mei +2
Aligning large language models with multiple human expectations and values is crucial for ensuring that they adequately serve a variety of user needs. To this end, offline multiobj…
Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control
Xiao-Cheng Liao, Yi Mei, Mengjie Zhang +1
Appropriate traffic state representation is crucial for learning traffic signal control policies. However, most of the current traffic state representations are heuristically desig…