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159 results on '"Zhang, Qingqi"'

1. Sign Rank Limitations for Inner Product Graph Decoders

Author

Lee, Su Hyeong, Zhang, Qingqi, and Kondor, Risi

Subjects
Computer Science - Machine Learning
Abstract

Inner product-based decoders are among the most influential frameworks used to extract meaningful data from latent embeddings. However, such decoders have shown limitations in representation capacity in numerous works within the literature, which have been particularly notable in graph reconstruction problems. In this paper, we provide the first theoretical elucidation of this pervasive phenomenon in graph data, and suggest straightforward modifications to circumvent this issue without deviating from the inner product framework., Comment: Accepted by ICML 2024

Published
2024

2. IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers

Author

Huang, Zhenglin, Bao, Xiaoan, Zhang, Na, Zhang, Qingqi, Tu, Xiaomei, Wu, Biao, and Yang, Xi

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Data augmentation has been proven effective for training high-accuracy convolutional neural network classifiers by preventing overfitting. However, building deep neural networks in real-world scenarios requires not only high accuracy on clean data but also robustness when data distributions shift. While prior methods have proposed that there is a trade-off between accuracy and robustness, we propose IPMix, a simple data augmentation approach to improve robustness without hurting clean accuracy. IPMix integrates three levels of data augmentation (image-level, patch-level, and pixel-level) into a coherent and label-preserving technique to increase the diversity of training data with limited computational overhead. To further improve the robustness, IPMix introduces structural complexity at different levels to generate more diverse images and adopts the random mixing method for multi-scale information fusion. Experiments demonstrate that IPMix outperforms state-of-the-art corruption robustness on CIFAR-C and ImageNet-C. In addition, we show that IPMix also significantly improves the other safety measures, including robustness to adversarial perturbations, calibration, prediction consistency, and anomaly detection, achieving state-of-the-art or comparable results on several benchmarks, including ImageNet-R, ImageNet-A, and ImageNet-O., Comment: NeurIPS 2023

Published
2023

7. Object Detection Algorithm for 3D Coordinate Attention Path Aggregation Network

Author

TU Xiaomei, BAO Xiao'an, WU Biao, JIN Yuting, ZHANG Qingqi

Subjects
object detection, three-dimensional coordinate attention (tdca), tdca path aggregation feature pyramid networks (tpa-fpn), yolox-s algorithm, improved simota strategy, Electronic computers. Computer science, QA75.5-76.95
Abstract

In practical industrial applications, YOLO series algorithms are not accurate enough to locate the object prediction boxes, and it is difficult to apply to realistic scenarios with high positioning requirements. The object detection algorithm YOLO-T of the three-dimensional coordinate attention path aggregation network is proposed. Firstly, the shortcut connection method is used to fuse the cross-layer features of the path aggregation feature pyramid to retain its shallow semantic information. Secondly, based on the coordinate attention mechanism, a three-dimensional coordinate attention (TDCA) model is proposed, which is used to pay attention weight to the features in the path aggregation feature pyramid (TPA-FPN (TDCA path aggregation feature pyramid networks)) to retain useful information and remove redundant information. Thirdly, the loss matrix calculation method of SimOTA (simplify optimal transport assignment) in the label allocation strategy is improved, which enhances the performance while ensuring no loss of efficiency. Finally, Depthwise Separable Conv is used to improve the convolution module in the backbone feature extraction network to make the model lightweight. Experimental results show that the detection accuracy mAP@0.50 of the algorithm is 1.3 percentage points higher than that of YOLOX-S on the PASCAL VOC2007+2012 dataset, and the mAP@0.50:0.95 is improved by 3.8 percentage points. The average detection accuracy mAP@0.50:0.95 is improved by 2.4 percentage points on the COCO2017 dataset.

Published
2023
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28. PANoptosis: A Cell Death Characterized by Pyroptosis, Apoptosis, and Necroptosis

Author

Shi,Chunxia, Cao,Pan, Wang,Yukun, Zhang,Qingqi, Zhang,Danmei, Wang,Yao, Wang,Luwen, Gong,Zuojiong, Shi,Chunxia, Cao,Pan, Wang,Yukun, Zhang,Qingqi, Zhang,Danmei, Wang,Yao, Wang,Luwen, and Gong,Zuojiong

Abstract

Chunxia Shi, Pan Cao, Yukun Wang, Qingqi Zhang, Danmei Zhang, Yao Wang, Luwen Wang, Zuojiong Gong Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan, People’s Republic of ChinaCorrespondence: Zuojiong Gong, Department of Infectious Diseases, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, People’s Republic of China, Email zjgong@163.comAbstract: PANoptosis is a new cell death proposed by Malireddi et al in 2019, which is characterized by pyroptosis, apoptosis and necroptosis, but cannot be explained by any of them alone. The interaction between pyroptosis, apoptosis and necroptosis is involved in PANoptosis. In this review, from the perspective of PANoptosis, we focus on the relationship between pyroptosis, apoptosis and necroptosis, the key molecules in the process of PANoptosis and the formation of PANoptosome, as well as the role of PANoptosis in diseases. We aim to understand the mechanism of PANoptosis and provide a basis for targeted intervention of PANoptosis-related molecules to treat human diseases.Keywords: PANoptosis, pyroptosis, apoptosis, necroptosis

Published
2023

36. Development of Amphioctopus fangsiao (Mollusca: Cephalopoda) from eggs to hatchlings: indications for the embryonic developmental management

Author

Xiaodong Zheng, Zhang Qingqi, Qian Yaosen, and Jiang Dianhang

Subjects
Hatching, Embryogenesis, Anatomy, Aquatic Science, Biology, Oceanography, Chromatophore, Ink sac, embryonic structures, Reproductive biology, Primordium, sense organs, Mantle (mollusc), Hatchling, Ecology, Evolution, Behavior and Systematics, Biotechnology
Abstract

Amphioctopus fangsiao is an important fishery resource in northern coastal China, and there is an interest to develop its commercial cultivation under controlled conditions. In this study, we describe the embryonic development of A. fangsiao from eggs to hatchlings, focusing on the formation of the mantle, eyes and arms. Results indicate that this species has several favorable characteristics for aquaculture, such as a short incubation period and a large body size of hatchlings. During the organogenesis, the primordia of organs, including the optic sac and arm crown, first appeared at stage VIII; then the mantle primordium, eye primordia and arm crown become visible at stage IX–X, and the rudiment of embryo (mantle, eyes and arms) was completely outlined at stage XI. The retinal pigment appeared yellowish at stage X–XI and gradually deepens in pigmentation in the subsequent stages, turning from yellowish to yellow, red, dark-red and eventually black. At stage XV, the primary lid fold, with only a circular opening remaining, covered the eye, and the dorsal ocular edge did not reach the ventral side until hatching (day 1–7). Afterwards, about 24 days after hatching, both the dorsal and ventral sides of eyelid could contract freely, with an oval and elongate slit remaining that was a miniature version of the adult morphology. The chromatophores and ink sac appeared at stage XIV. These observations provide a foundation for the reproductive biology and aquaculture of A. fangsiao and also offer an important reference for the research of embryonic development in related species.

Published
2019

37. NOD2‐mediated HDAC6/NF‐κb signalling pathway regulates ferroptosis induced by extracellular histone H3 in acute liver failure.

Author

Chen, Qian, Zhang, Qingqi, Cao, Pan, Shi, Chunxia, Zhang, Luyi, Wang, Luwen, and Gong, Zuojiong

Subjects
CELLULAR signal transduction, LIVER failure, CELL nuclei, LABORATORY mice, MACROPHAGES
Abstract

Acute liver failure (ALF) is life‐threatening and often associated with high mortality rates. The aim of the present study was to investigate whether extracellular histone H3 could induce ferroptosis in hepatic macrophages in ALF and explore its potential mechanism. RAW264.7 macrophages and C57BL/6 mice were used in this study. LPS, D‐galactosamine (D‐Gal), histone H3, histone H3 antibody, NOD2 agonist Muramyl Dipeptide (MDP) and HDAC6‐siRNA were administered in this study. The key molecules of ferroptosis, NOD2, HDAC6 and the NF‐κb pathway, were detected. In vitro, histone H3 was released into the extracellular environment from cell nucleus after LPS exposure. In addition, histone H3 could induce ferroptosis in RAW264.7 macrophages with increased level of Fe2+ and ROS and decreased levels of GPX4 and GSH. MDP further aggravated ferroptosis in RAW264.7 macrophages stimulated by histone H3, which was accompanied by elevated NOD2, HDAC6, p‐P65 and IκBα. HDAC6‐siRNA ameliorated ferroptosis in RAW264.7 macrophages induced by histone H3, which was accompanied by decreased levels of HDAC6, p‐P65 and IκBα. However, HDAC6‐siRNA did not alter NOD2 levels in RAW264.7 macrophages administered histone H3. In vivo, the levels of NOD2, HDAC6 the NF‐κb pathway and ferroptosis were increased in ALF mice, which were downregulated by histone H3 antibody and upregulated by histone H3. Extracellular histone H3 could induce ferroptosis in hepatic macrophages in ALF by regulating theNOD2‐mediated HDAC6/NF‐κb signalling pathway. [ABSTRACT FROM AUTHOR]

Published
2022
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40. Housing Price Prediction Based on Multiple Linear Regression

Author

Zhang, Qingqi and Zhang, Qingqi

Abstract

In this paper, the author first analyzes the major factors affecting housing prices with Spearman correlation coefficient, selects significant factors influencing general housing prices, and conducts a combined analysis algorithm. Then, the author establishes a multiple linear regression model for housing price prediction and applies the data set of real estate prices in Boston to test the method. Through the data analysis and test in this paper, it can be summarized that the multiple linear regression model can effectively predict and analyze the housing price to some extent, while the algorithm can still be improved through more advanced machine learning methods. © 2021 Qingqi Zhang.

Published
2021

50. Pathogens and Related Diseases in Non-European Cephalopods: Asia. A Preliminary Review

Author

Xiaodong Zheng, Qian Yaosen, Zhang Qingqi, and Jing Ren

Subjects
Coccidiosis, biology, Broken skin, Parasitic disease, medicine, Amphioctopus fangsiao, Zoology, Parasite hosting, Aggregata, Degeneration (medical), medicine.disease, biology.organism_classification, Anisakis
Abstract

Parasitic diseases and other abnormalities play critical roles in causing morbidity in the majority of Cephalopoda. However, to date, reports of cephalopod diseases from Asia are scarce and lack detailed information on the description of specific characters. This paper presents a brief overview of various pathogens and produced diseases in Asian cephalopods, including coccidiosis by Aggregata, Anisakiasis, infection by the copepods Octopicola, and other abnormalities such as edema and broken skin. The coccidian Aggregata sp. that infects the definitive host Amphioctopus fangsiao is a heteroxenous parasite transmitted through the food web. Anisakids play an important role in Asia as parasitic disease for cephalopods and it is even transmitted to humans. Concerning the infection by copepods, Octopicola sp. is the only species of the family Octopicolidae reported from North Pacific waters. Other abnormalities like edema or broken skin may have been the result of bacterial infections, so that abnormalities could cause the degeneration and death observed in A. fangsiao.

Published
2019

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