Xiaomeng Ye

21 papers A* 1C 8Misc 3Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
EmbodiedSplat: Personalized Real-to-Sim-to-Real Navigation with Gaussian Splats from a Mobile Device.
CoRR
Gunjan Chhablani, Xiaomeng Ye, Muhammad Zubair Irshad, Zsolt Kira
2025 Misc conf
Fully Interpretable and Adjustable Model for Depression Diagnosis: A Qualitative Approach.
FLAIRS
Kuo Deng, Xiaomeng Ye, Kun Wang, Angelina Pennino, Abigail Jarvis, Yola Hall
2025 — ed.
Joint Proceedings of the Workshops & Doctoral Consortium at the 33rd International Conference on Case-Based Reasoning (ICCBR-WS 2025) co-located with the 33rd International Conference on Case-Based Reasoning (ICCBR 2025), Biarritz, France, June 30th 2025.
ICCBR Workshops
Kyle Martin, Xiaomeng Ye
2025 A* conf
Run Like a Neural Network, Explain Like k-Nearest Neighbor.
IJCAI
Xiaomeng Ye, David Leake, Yu Wang, David Crandall
2024 J jnl
Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric.
CoRR
Ziwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall
2024 C conf
Towards Network Implementation of CBR: Case Study of a Neural Network K-NN Algorithm.
ICCBR
Xiaomeng Ye, David Leake, Yu Wang, Ziwei Zhao, David Crandall
2023 — ch.
Enhancing Case-Based Reasoning with Neural Networks.
Compendium of Neurosymbolic Artificial Intelligence
David Leake, Zachary Wilkerson, Xiaomeng Ye, David J. Crandall
2022 C conf
Case Adaptation with Neural Networks: Capabilities and Limitations.
ICCBR
Xiaomeng Ye, David Leake, David Crandall
2022 — conf
Generating Counterfactual Images: Towards a C2C-VAE Approach.
ICCBR Workshops
Ziwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall
2022 C conf
Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach.
ICCC
Xiaomeng Ye, Ziwei Zhao, David Leake, David Crandall
2021 J jnl
Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features.
CoRR
Xiaomeng Ye, Ziwei Zhao, David Leake, Xizi Wang, David J. Crandall
2021 C conf
Harmonizing Case Retrieval and Adaptation with Alternating Optimization.
ICCBR
David Leake, Xiaomeng Ye
2021 C conf
Learning Adaptations for Case-Based Classification: A Neural Network Approach.
ICCBR
Xiaomeng Ye, David Leake, Vahid Jalali, David J. Crandall
2021 — conf
Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation.
AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering
David Leake, Xiaomeng Ye, David J. Crandall
2020 C conf
Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases.
ICCBR
Xiaomeng Ye, David Leake, William Huibregtse, Mehmet M. Dalkilic
2020 C conf
Learning to Improve Efficiency for Adaptation Paths.
ICCBR
David Leake, Xiaomeng Ye
2019 Misc conf
C2C Trace Retrieval: Fast Classification Using Class-to-Class Weighting.
FLAIRS
Xiaomeng Ye
2019 J jnl
GeaBase: a high-performance distributed graph database for industry-scale applications.
Int. J. High Perform. Comput. Netw.
Zhisong Fu, Zhengwei Wu, Houyi Li, Yize Li, Min Wu, Xiaojie Chen, Xiaomeng Ye, Benquan Yu, Xi Hu
2019 C conf
On Combining Case Adaptation Rules.
ICCBR
David Leake, Xiaomeng Ye
2018 Misc conf
The Enemy of My Enemy Is My Friend: Class-to-Class Weighting in K-Nearest Neighbors Algorithm.
FLAIRS
Xiaomeng Ye
2017 — conf
GeaBase: A High-Performance Distributed Graph Database for Industry-Scale Applications.
CBD
Zhisong Fu, Zhengwei Wu, Houyi Li, Yize Li, Min Wu, Xiaojie Chen, Xiaomeng Ye, Benquan Yu, Xi Hu