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

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)

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

Fangjun Li, et al. Ontology Knowledge-enhanced In-Context Learning for Action-Effect Prediction. In Advances in Cognitive Systems (ACS-2022)

Exploring the GLIDE model for Human Action-effect Prediction

Fangjun Li, et al. Exploring the GLIDE model for Human Action-effect Prediction. P-VLAM (2022): 1.

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

Fangjun Li, et al. An improved clear cell renal cell carcinoma stage prediction model based on gene sets.BMC bioinformatics, 21, 1-15.

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

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.

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, California

Teaching experience 2

Teaching experience 1