ClipGrader: Leveraging Vision-Language Models for Robust Label Quality Assessment in Object Detection.
CoRR, March, 2025
Learning sample representativeness for class-imbalanced multi-label classification.
Pattern Anal. Appl., June, 2024
Please Understand My Disability: An Analysis of YouTubers' Discourse on Disability Challenges.
Proc. ACM Hum. Comput. Interact., 2024
NeuralSI: Neural Design of Semantic Interaction for Interactive Deep Learning.
CoRR, 2024
Quantifying Explainability with Multi-Scale Gaussian Mixture Models.
Proceedings of the 3rd Explainable AI for Computer Vision (XAI4CV) Workshop, 2024
Self-label correction for image classification with noisy labels.
Pattern Anal. Appl., August, 2023
Human-AI Sensemaking with Semantic Interaction and Deep Learning.
PhD thesis, 2022
Semantic Explanation of Interactive Dimensionality Reduction.
Proceedings of the 2021 IEEE Visualization Conference, 2021
DeepSI: Interactive Deep Learning for Semantic Interaction.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021
Evaluating Semantic Interaction on Word Embeddings via Simulation.
CoRR, 2020
DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning.
CoRR, 2020
Concept over time: the combination of probabilistic topic model with wikipedia knowledge.
Expert Syst. Appl., 2016
Discovering treatment pattern in Traditional Chinese Medicine clinical cases by exploiting supervised topic model and domain knowledge.
J. Biomed. Informatics, 2015
CKGHV: a comprehensive knowledge graph for history visualization.
Proceedings of the IEEE/ACM Joint Conference on Digital Libraries, 2014