Publications

You can also find my articles on my Google Scholar profile.

Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark

Published in AAAI Technical Track on Natural Language Processing II, 2024

Spatial Reaoning, LLMs, Prompt Engineering

Recommended citation: Fangjun Li, et al. Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 38, No. 17, pp. 18500-18507) https://ojs.aaai.org/index.php/AAAI/article/view/29811

Ontology Knowledge-enhanced In-Context Learning for Action-Effect Prediction.

Published in ACS, 2022

Ontology Knowledge, LLMs, Prompt Engineering

Recommended citation: Fangjun Li, et al. Ontology Knowledge-enhanced In-Context Learning for Action-Effect Prediction. In Advances in Cognitive Systems (ACS-2022) https://advancesincognitivesystems.github.io/acs2022/data/acs22_paper-7652.pdf

Exploring the GLIDE model for Human Action-effect Prediction

Published in P-VLAM, 2022

Diffusion Model, Image Manipulation

Recommended citation: Fangjun Li, et al. Exploring the GLIDE model for Human Action-effect Prediction. P-VLAM (2022): 1. https://aclanthology.org/2022.pvlam-1.pdf#page=9

An improved clear cell renal cell carcinoma stage prediction model based on gene sets

Published in BMC bioinformatics, 2020

Feature Selection, Machine Learning, Gene Data

Recommended citation: Fangjun Li, et al. An improved clear cell renal cell carcinoma stage prediction model based on gene sets.BMC bioinformatics, 21, 1-15. https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-03543-0

Multi-scale stepwise training strategy of convolutional neural networks for diabetic retinopathy severity assessment

Published in IJCNN, 2019

CNN, Medical Imaging

Recommended citation: Fangjun Li, et al. Multi-scale stepwise training strategy of convolutional neural networks for diabetic retinopathy severity assessment. In 2019 International Joint Conference on Neural Networks (IJCNN) (pp. 1-5). IEEE. https://ieeexplore.ieee.org/document/8851904

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