Jinge Wang — accepted AI-conference papers

2025

NOVA: An Iterative Planning Framework for Enhancing Scientific Innovation with Large Language Models

Xiang Hu, Hongyu Fu, Jinge Wang, Yifeng Wang, Zhikun Li, Renjun Xu +4

ACL 2025finding

Scientific innovation is pivotal for humanity, and harnessing large language models (LLMs) to generate research ideas could transform discovery. However, existing LLMs often produce simplistic and repetitive suggestions due to their limited ability in acquiring external knowledge for innovation. To…

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2022

Image Translation Based Synthetic Data Generation for Industrial Object Detection and Pose Estimation

Xu Yang, Xiumin Fan, Jinge Wang, Kunbo Lee

RA-L 2022

Deep learning-based methods have shown excellent potential on object detection and pose estimation with vast amounts of training data to achieve good performance. Obtaining enough comprehensive manual labeling training data is a time-consuming and error-prone task in industrial scenes, and most curr

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