The Enemy of My Enemy Is My Friend: Class-to-Class Weighting in K-Nearest Neighbors Algorithm. - Xiaomeng Ye (FLAIRS, 2018)

C2C Trace Retrieval: Fast Classification Using Class-to-Class Weighting. - Xiaomeng Ye (FLAIRS, 2019)

On Combining Case Adaptation Rules. - David Leake; Xiaomeng Ye (ICCBR, 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)

Learning to Improve Efficiency for Adaptation Paths. - David Leake; Xiaomeng Ye (ICCBR, 2020)

Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases. - Xiaomeng Ye; David Leake; William Huibregtse; Mehmet M. Dalkilic (ICCBR, 2020)

Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation. - David Leake; Xiaomeng Ye; David J. Crandall (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Harmonizing Case Retrieval and Adaptation with Alternating Optimization. - David Leake; Xiaomeng Ye (ICCBR, 2021)

Learning Adaptations for Case-Based Classification: A Neural Network Approach. - Xiaomeng Ye; David Leake; Vahid Jalali; David J. Crandall (ICCBR, 2021)

Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features. - Xiaomeng Ye; Ziwei Zhao 003; David Leake; Xizi Wang; David J. Crandall (CoRR, 2021)

Case Adaptation with Neural Networks: Capabilities and Limitations. - Xiaomeng Ye; David Leake; David Crandall (ICCBR, 2022)

Generating Counterfactual Images: Towards a C2C-VAE Approach. - Ziwei Zhao 003; David Leake; Xiaomeng Ye; David J. Crandall (ICCBR Workshops, 2022)

Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach. - Xiaomeng Ye; Ziwei Zhao 003; David Leake; David Crandall (ICCC, 2022)

Enhancing Case-Based Reasoning with Neural Networks. - David Leake; Zachary Wilkerson; Xiaomeng Ye; David J. Crandall (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Towards Network Implementation of CBR: Case Study of a Neural Network K-NN Algorithm. - Xiaomeng Ye; David Leake; Yu Wang; Ziwei Zhao 003; David Crandall (ICCBR, 2024)

Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric. - Ziwei Zhao 003; David Leake; Xiaomeng Ye; David J. Crandall (CoRR, 2024)

Fully Interpretable and Adjustable Model for Depression Diagnosis: A Qualitative Approach. - Kuo Deng; Xiaomeng Ye; Kun Wang; Angelina Pennino; Abigail Jarvis; Yola Hall (FLAIRS, 2025)