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From the 1 of 21 linked papers with an AI index.

collaborators

21 papers

cs.SE2026

Accelerated Genetic Programming Hyper-Heuristics for Simulation-Based Scheduling via Agentic AI

Heyang Thomas Li, Alexander Pletzer, Yuan Tian +2

Python is widely used in scientific research because it enables rapid development and provides rich ecosystems for data analysis, artificial intelligence (AI), and machine learning…

cs.AI2026

Guiding Large Language Models with Genetic Programming-Evolved Heuristic Knowledge for Dynamic Multi-Mode Project Scheduling

Yuan Tian, Yi Mei, Mengjie Zhang

The paper proposes using heuristic rules evolved by genetic programming to guide large language models in making dynamic multi-mode project scheduling decisions, improving performa…

cs.LG2026

Machine Learning-based Two-Stage Graph Sparsification for the Travelling Salesman Problem

Bo-Cheng Lin, Yi Mei, Mengjie Zhang

High-performance TSP solvers such as Lin-Kernighan-Helsgaun (LKH) search within a \emph{candidate graph} -- a small subset of edges pre-selected for the solver -- rather than over…

cs.CL2026

AutoSG: LLM-Driven Solver Generation Solely from Task Prompts for Expensive Optimization

Haoran Gu, Handing Wang, Yi Mei +1

Expensive optimization tasks are ubiquitous in real-world applications, demanding highly specialized solvers. While LLM-driven automated solver generation shows promise, current pa…

cs.CV2026

MotiMotion: Motion-Controlled Video Generation with Visual Reasoning

Lee Hsin-Ying, Hanwen Jiang, Yiqun Mei +3

Current motion-controlled image-to-video generation models rigidly follow user-provided trajectories that are often sparse, imprecise, and causally incomplete. Such reliance often…

cs.LG2026

Keep Rehearsing and Refining: Lifelong Learning Vehicle Routing under Continually Drifting Tasks

Jiyuan Pei, Yi Mei, Jialin Liu +2

Existing neural solvers for vehicle routing problems (VRPs) are typically trained either in a one-off manner on a fixed set of pre-defined tasks or in a lifelong manner with tasks…