Minfeng Zhu
Overview
Explore the profile of Minfeng Zhu including associated specialties, affiliations and a list of published articles.
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Articles
15
Citations
129
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0
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Recent Articles
1.
Pan B, Lu J, Li H, Chen W, Wang Y, Zhu M, et al.
IEEE Trans Vis Comput Graph
. 2023 Oct;
30(1):1369-1379.
PMID: 37878449
The transfer function is crucial for direct volume rendering (DVR) to create an informative visual representation of volumetric data. However, manually adjusting the transfer function to achieve the desired DVR...
2.
Feng Y, Wang X, Wong K, Wang S, Lu Y, Zhu M, et al.
IEEE Trans Vis Comput Graph
. 2023 Oct;
30(1):295-305.
PMID: 37878445
Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts. However, developing effective prompts for desired images...
3.
Wen Z, Liu Y, Tan S, Chen J, Zhu M, Han D, et al.
IEEE Trans Vis Comput Graph
. 2023 Oct;
30(1):573-583.
PMID: 37878443
Quantum computing is a rapidly evolving field that enables exponential speed-up over classical algorithms. At the heart of this revolutionary technology are quantum circuits, which serve as vital tools for...
4.
Xia J, Huang L, Sun Y, Deng Z, Zhang X, Zhu M
IEEE Trans Vis Comput Graph
. 2023 Oct;
30(1):142-152.
PMID: 37871057
The visualization of streaming high-dimensional data often needs to consider the speed in dimensionality reduction algorithms, the quality of visualized data patterns, and the stability of view graphs that usually...
5.
Wu Z, Zhu M, Kang Y, Leung E, Lei T, Shen C, et al.
Brief Bioinform
. 2020 Dec;
22(4).
PMID: 33313673
Although a wide variety of machine learning (ML) algorithms have been utilized to learn quantitative structure-activity relationships (QSARs), there is no agreed single best algorithm for QSAR learning. Therefore, a...
6.
Zhu M, Chen W, Hu Y, Hou Y, Liu L, Zhang K
IEEE Trans Vis Comput Graph
. 2020 Dec;
27(2):1666-1676.
PMID: 33275582
Efficient layout of large-scale graphs remains a challenging problem: the force-directed and dimensionality reduction-based methods suffer from high overhead for graph distance and gradient computation. In this paper, we present...
7.
Pan J, Chen W, Zhao X, Zhou S, Zeng W, Zhu M, et al.
IEEE Trans Vis Comput Graph
. 2020 Oct;
27(2):1655-1665.
PMID: 33104510
We design and evaluate a novel layout fine-tuning technique for node-link diagrams that facilitates exemplar-based adjustment of a group of substructures in batching mode. The key idea is to transfer...
8.
Cai N, Zhang X, Zheng C, Zhu L, Zhu M, Cheng Z, et al.
J Clin Pharm Ther
. 2019 Nov;
45(2):318-323.
PMID: 31721244
What Is Known And Objective: Personalized treatment with tacrolimus has remained a challenge. The present study aimed to evaluate the potential of an integrative approach to predict individual tacrolimus concentrations...
9.
Huang Z, Zhao Y, Chen W, Gao S, Yu K, Xu W, et al.
IEEE Trans Vis Comput Graph
. 2019 Aug;
26(1):1256-1266.
PMID: 31443013
Visual querying is essential for interactively exploring massive trajectory data. However, the data uncertainty imposes profound challenges to fulfill advanced analytics requirements. On the one hand, many underlying data does...
10.
Zhu M, Dai Y, Gao F, Xu C, Chen L, Xu Y, et al.
J BUON
. 2019 May;
24(2):585-590.
PMID: 31128010
Purpose: To investigate the correlations of coagulation indexes and inflammatory changes with the prognosis of lung cancer (LC) patients complicated with thromboembolic (TE) disease. Methods: A total of 84 LC...