Xiaomeng Ye

According to our database, Xiaomeng Ye authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric.

Ziwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall

CoRR, 2024

Towards Network Implementation of CBR: Case Study of a Neural Network K-NN Algorithm.

Xiaomeng Ye, David Leake, Yu Wang, Ziwei Zhao, David Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2024

2023

Enhancing Case-Based Reasoning with Neural Networks.

David Leake, Zachary Wilkerson, Xiaomeng Ye, David J. Crandall

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

2022

Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach.

Xiaomeng Ye, Ziwei Zhao, David Leake, David Crandall

Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

Generating Counterfactual Images: Towards a C2C-VAE Approach.

Ziwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall

Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

Case Adaptation with Neural Networks: Capabilities and Limitations.

Xiaomeng Ye, David Leake, David Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2022

2021

Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features.

Xiaomeng Ye, Ziwei Zhao, David Leake, Xizi Wang, David J. Crandall

CoRR, 2021

Learning Adaptations for Case-Based Classification: A Neural Network Approach.

Xiaomeng Ye, David Leake, Vahid Jalali, David J. Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2021

Harmonizing Case Retrieval and Adaptation with Alternating Optimization.

David Leake, Xiaomeng Ye

Proceedings of the Case-Based Reasoning Research and Development, 2021

Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation.

David Leake, Xiaomeng Ye, David J. Crandall

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

2020

Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases.

Xiaomeng Ye, David Leake, William Huibregtse, Mehmet M. Dalkilic

Proceedings of the Case-Based Reasoning Research and Development, 2020

Learning to Improve Efficiency for Adaptation Paths.

David Leake, Xiaomeng Ye

Proceedings of the Case-Based Reasoning Research and Development, 2020

2019

GeaBase: a high-performance distributed graph database for industry-scale applications.

Zhisong Fu, Zhengwei Wu, Houyi Li, Yize Li, Min Wu, Xiaojie Chen, Xiaomeng Ye, Benquan Yu, Xi Hu

Int. J. High Perform. Comput. Netw., 2019

On Combining Case Adaptation Rules.

David Leake, Xiaomeng Ye

Proceedings of the Case-Based Reasoning Research and Development, 2019

C2C Trace Retrieval: Fast Classification Using Class-to-Class Weighting.

Xiaomeng Ye

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2018

The Enemy of My Enemy Is My Friend: Class-to-Class Weighting in K-Nearest Neighbors Algorithm.

Xiaomeng Ye

Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018