Zhendong Chen — accepted AI-conference papers

2025

Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models

Mingming Peng, Zhendong Chen, Jie Yang, Jin Huang, Zhengqi Shi, Qihao Liu +2

IROS 2025

With the accelerated development of Industry 4.0, intelligent manufacturing systems increasingly require efficient task allocation and scheduling in multi-robot systems. However, existing methods rely on domain expertise and face challenges in adapting to dynamic production constraints. Additionally

Cited by 7 Source ↗Scholar ↗

2023

MNER-QG: An End-to-End MRC Framework for Multimodal Named Entity Recognition with Query Grounding

Meihuizi Jia, Lei Shen, Xin Shen, Lejian Liao, Meng Chen, Xiaodong He +2

AAAI 2023technical

Multimodal named entity recognition (MNER) is a critical step in information extraction, which aims to detect entity spans and classify them to corresponding entity types given a sentence-image pair. Existing methods either (1) obtain named entities with coarse-grained visual clues from attention me…

Cited by 53 Source ↗PDF ↗Scholar ↗