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2,450 results on '"Li, Zhiguo"'

1. A note on the Nearly Dispersability of Odd Toroidal Grids

Author

Yu, Xiaoxiang, Shao, Zeling, and Li, Zhiguo

Subjects
Mathematics - Combinatorics, 05C10
Abstract

The \emph{matching book thickness} $mbt(G)$ of $G$ is the minimum integer $m$ such that an $m$-page matching book embedding exists. A graph $G$ is called \emph{dispersable} if $mbt(G)=\Delta(G)$, \emph{nearly dispersable} if $mbt(G)=\Delta(G)+1$. Recently, the authors determined the nearly dispersability of odd toroidal grids $T_{s,t}$. In this note, we further present a brief proof for this result.

Published
2024

2. On the dispersability of graph bundles over cycles

Author

Shao, Zeling, Yu, Xiaoxiang, and Li, Zhiguo

Subjects
Mathematics - Combinatorics, 05C10
Abstract

In this paper, the dispersability of the Cartesian graph bundle over two cycles is completely solved. We show the Cartesian graph bundle $G$ over two cycles is dispersable if $G$ is bipartite; otherwise, $G$ is nearly dispersable., Comment: arXiv admin note: text overlap with arXiv:2310.06612

Published
2024

5. Highly Efficient SNNs for High-speed Object Detection

Author

Qiu, Nemin, Li, Zhiguo, Li, Yuan, and Zhu, Chuang

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

The high biological properties and low energy consumption of Spiking Neural Networks (SNNs) have brought much attention in recent years. However, the converted SNNs generally need large time steps to achieve satisfactory performance, which will result in high inference latency and computational resources increase. In this work, we propose a highly efficient and fast SNN for object detection. First, we build an initial compact ANN by using quantization training method of convolution layer fold batch normalization layer and neural network modification. Second, we theoretically analyze how to obtain the low complexity SNN correctly. Then, we propose a scale-aware pseudoquantization scheme to guarantee the correctness of the compact ANN to SNN. Third, we propose a continuous inference scheme by using a Feed-Forward Integrate-and-Fire (FewdIF) neuron to realize high-speed object detection. Experimental results show that our efficient SNN can achieve 118X speedup on GPU with only 1.5MB parameters for object detection tasks. We further verify our SNN on FPGA platform and the proposed model can achieve 800+FPS object detection with extremely low latency.

Published
2023

34. The Alon-Tarsi number of Halin graphs

Author

Li, Zhiguo, Ye, Qing, and Shao, Zeling

Subjects
Mathematics - Combinatorics, 05C15
Abstract

The Alon-Tarsi number of a graph $G$ is the smallest $k$ for which there is an orientation $D$ of $G$ with max outdegree $k-1$ such that the number of Eulerian subgraphs of $G$ with an even number of edges differs from the number of Eulerian subgraphs with an odd number of edges. In this paper, we obtain the Alon-Tarsi number of a Halin graph equals 4 when it is a wheel of even order and 3 otherwise.

Published
2021

47. Bipartite cubic planar graphs are dispersable

Author

Shao, Zeling, Liu, Yanqing, and Li, Zhiguo

Subjects
Mathematics - Combinatorics, 05C10
Abstract

The book embedding of a graph $G$ is to place the vertices of $G$ on the spine and draw the edges to the pages so that the edges in the same page do not cross with each other. A book embedding is matching if the vertices in the same page have maximum degree at most 1. The matching book thickness is the minimum number of pages in which a graph can be matching book embedded. A graph $G$ is dispersable if and only if $mbt(G)=\Delta(G)$. In this paper, we prove that bipartite cubic planar graphs are dispersable.

Published
2021

48. Effect of miR-524-5p on Epithelial-mesenchymal Transition in Esophageal Cancer Cells by Regulating HEG1 Expression

Author

WANG Yafei, GENG Tianxiang, CHEN Linlin, LI Zhiguo, and LI Shipeng

Subjects
mir-524-5p, heg1 protein, esophageal cancer, epithelial-mesenchymal transition, invasion, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Objective To investigate the mechanism and the effect of miR-524-5p regulating HEG1 expression on the proliferation and epithelial-mesenchymal transition of esophageal cancer cells. Methods The expression levels of miR-524-5p and HEG1 mRNA in esophageal cancer cells and normal esophageal epithelial cells were detected by qRT-PCR. KYSE30 cells were divided into miR-524-5p mimic group, miR-524-5p NC group, miR-524-5p mimic+pcDNA3.1 group, and miR-524-5p mimic+pcDNA3.1-HEG1 group. Non-transfected cells were set as the normal control group (group Control). CCK-8 method was applied to detect the proliferation ability of KYSE30 cells. Western blot analysis was conducted to detect the expression of proteins related to EMT, invasion, and migration and the HEG1 protein. Scratch and Transwell assays were applied to detect the migration and invasion abilities of KYSE30 cells. A dual-luciferase reporter gene was used to examine the targeting relationship between miR-524-5p and HEG1. Results miR-524-5p was lowly expressed in four esophageal cancer cell lines, namely, TE-1, KYSE30, KYSE150, and NEC (P < 0.05). KYSE30 cells with the lowest expression level were selected for subsequent experiments. HEG1 mRNA was highly expressed in four esophageal cancer cell lines (P < 0.05). The GEPIA database showed that HEG1 was highly expressed in esophageal cancer tumor tissues (P < 0.05). KYSE30 cells in the miR-524-5p mimic group had lower proliferation ability, colony formation number, mesenchymal marker protein expression, and migration and invasion abilities and upregulated epithelial marker protein E-cadherin level than cells in the miR-524-5p NC group (P < 0.05). The miR-524-5p mimic+pcDNA3.1-HEG1 group significantly reversed the inhibitory effect of overexpression of miR-524-5p on the proliferation, epithelial–mesenchymal transformation, invasion, and metastasis of KYSE30 cells (P < 0.05). The luciferase activity of cells in the miR-524-5p mimic and WT-HEG1 co-transfection groups was lower than that in the miR-524-5p NC and WT-HEG1 co-transfection groups (P < 0.05). Conclusion miR-524-5p is lowly expressed in EC cells and tissues. The overexpression of miR-524-5p can negatively regulate the expression of HEG1 in esophageal cancer cell line (KYSE30 cells) and reduce the proliferation, EMT process, and invasion and migration abilities of KYSE30 cells.

Published
2023
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