most citedEducational impacts of generative artificial intelligence on learning and performance of engineering students in China

66 citations · 89 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC20261 cited

The impact of generative artificial intelligence on academic development of Chinese students in humanities and social sciences

Lei Fan, Fangxue Liu

Generative artificial intelligence(GenAI) is reshaping learning in higher education, with particularly pronounced implications for the humanities and social sciences(HSS), where le…

cs.AI2026

Agentic Trading: When LLM Agents Meet Financial Markets

Yihan Xia, Panpan You, Taotao Wang +4

A growing body of work explores how Large Language Models (LLMs) can be embedded in trading systems as agents that perceive market information, retrieve context, reason about decis…

cs.AI2025

Domain adaptation of large language models for geotechnical applications

Lei Fan, Fangxue Liu, Cheng Chen

The rapid advancement of large language models (LLMs) is transforming opportunities in geotechnical engineering, where workflows rely on complex, text-rich data. While general-purp…

cs.HC202566 cited

Educational impacts of generative artificial intelligence on learning and performance of engineering students in China

Lei Fan, Kunyang Deng, Fangxue Liu

With the rapid advancement of generative artificial intelligence(AI), its potential applications in higher education have attracted significant attention. This study investigated h…

cs.CV202522 cited

A review of advancements in low-light image enhancement using deep learning

Fangxue Liu, Lei Fan

In low-light environments, the performance of computer vision algorithms often deteriorates significantly, adversely affecting key vision tasks such as segmentation, detection, and…