Kwan-Liu Ma
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Explore the profile of Kwan-Liu Ma including associated specialties, affiliations and a list of published articles.
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Articles
115
Citations
195
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Recent Articles
1.
Xuan X, Ono J, Gou L, Ma K, Ren L
IEEE Trans Vis Comput Graph
. 2025 Mar;
PP.
PMID: 40031557
Data slice finding is an emerging technique for validating machine learning (ML) models by identifying and analyzing subgroups in a dataset that exhibit poor performance, often characterized by distinct feature...
2.
Xuan X, Wang X, He W, Ono J, Gou L, Ma K, et al.
IEEE Trans Vis Comput Graph
. 2025 Mar;
PP.
PMID: 40031290
The advances in multi-modal foundation models (FMs) (e.g., CLIP and LLaVA) have facilitated the auto-labeling of large-scale datasets, enhancing model performance in challenging downstream tasks such as open-vocabulary object detection...
3.
Kuo Y, Liu D, Ma K
IEEE Trans Vis Comput Graph
. 2024 Sep;
31(1):1050-1060.
PMID: 39269806
Egocentric networks, often visualized as node-link diagrams, portray the complex relationship (link) dynamics between an entity (node) and others. However, common analytics tasks are multifaceted, encompassing interactions among four key...
4.
Lee S, Ma K
IEEE Trans Vis Comput Graph
. 2024 Sep;
PP.
PMID: 39264779
Sensemaking on a large collection of documents (corpus) is a challenging task often found in fields such as market research, legal studies, intelligence analysis, political science, or computational linguistics. Previous...
5.
Lee S, Bahukhandi A, Liu D, Ma K
IEEE Trans Vis Comput Graph
. 2024 Sep;
31(1):481-491.
PMID: 39250398
Recent advancements in Large Language Models (LLMs) and Prompt Engineering have made chatbot customization more accessible, significantly reducing barriers to tasks that previously required programming skills. However, prompt evaluation, especially...
6.
Wu Q, Insley J, Mateevitsi V, Rizzi S, Papka M, Ma K
IEEE Trans Vis Comput Graph
. 2024 Aug;
PP.
PMID: 39115992
Implicit neural representations (INRs) have emerged as a powerful tool for compressing large-scale volume data. This opens up new possibilities for in situ visualization. However, the efficient application of INRs...
7.
Lu H, Fujiwara T, Chang M, Fu Y, Ynnerman A, Ma K
IEEE Trans Vis Comput Graph
. 2024 Jul;
PP.
PMID: 38968020
Multivariate networks are commonly found in realworld data-driven applications. Uncovering and understanding the relations of interest in multivariate networks is not a trivial task. This paper presents a visual analytics...
8.
Lu H, Li Y, Garcia B, Tu S, Ma K
Proc 2023 7th Int Conf Med Health Inform ICMHI 2023 (2023)
. 2024 Apr;
2023:104-111.
PMID: 38638863
Cooperation among teams or individuals of healthcare professionals (HCPs) is one of the crucial factors towards patients' survival outcome. However, it is challenging to uncover and understand such factors in...
9.
Li Y, Wang J, Aboagye P, Yeh C, Zheng Y, Wang L, et al.
IEEE Trans Vis Comput Graph
. 2024 Apr;
30(6):2875-2887.
PMID: 38625780
Recent advancements in pre-trained language-image models have ushered in a new era of visual comprehension. Leveraging the power of these models, this article tackles two issues within the realm of...
10.
Fujiwara T, Zhao J, Chen F, Yu Y, Ma K
J Data Sci Stat Vis
. 2024 Feb;
2(5).
PMID: 38318468
Identifying unique characteristics in a network through comparison with another network is an essential network analysis task. For example, with networks of protein interactions obtained from normal and cancer tissues,...