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36 results on '"Wan, Zirui"'

1. CommitShield: Tracking Vulnerability Introduction and Fix in Version Control Systems

Author

Wu, Zhaonan, Zhao, Yanjie, Wei, Chen, Wan, Zirui, Liu, Yue, and Wang, Haoyu

Subjects
Computer Science - Software Engineering
Abstract

Version control systems are commonly used to manage open-source software, in which each commit may introduce new vulnerabilities or fix existing ones. Researchers have developed various tools for detecting vulnerabilities in code commits, but their performance is limited by factors such as neglecting descriptive data and challenges in accurately identifying vulnerability introductions. To overcome these limitations, we propose CommitShield, which combines the code analysis capabilities of static analysis tools with the natural language and code understanding capabilities of large language models (LLMs) to enhance the accuracy of vulnerability introduction and fix detection by generating precise descriptions and obtaining rich patch contexts. We evaluate CommitShield using the newly constructed vulnerability repair dataset, CommitVulFix, and a cleaned vulnerability introduction dataset. Experimental results indicate that CommitShield improves recall by 76%-87% over state-of-the-art methods in the vulnerability fix detection task, and its F1-score improves by 15%-27% in the vulnerability introduction detection task.

Published
2025

2. Crowd Modeling and Control via Cooperative Adaptive Filtering

Author

Wan, Zirui and Sanei, Saeid

Subjects
Computer Science - Multiagent Systems
Abstract

This paper introduces a crowd modeling and motion control approach that employs diffusion adaptation within an adaptive network. In the network, nodes collaboratively address specific estimation problems while simultaneously moving as agents governed by certain motion control mechanisms. Our research delves into the behaviors of agents when they encounter spatial constraints. Within this framework, agents pursue several objectives, such as target tracking, coherent motion, and obstacle evasion. Throughout their navigation, they demonstrate a nature of self-organization and self-adjustment that drives them to maintain certain social distances with each other, and adaptively adjust their behaviors in response to the environmental changes. Our findings suggest a promising approach to mitigate the spread of viral pandemics and averting stampedes., Comment: This paper has been submitted to 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Published
2023

4. Structural evolution and mechanical properties of Cr coatings deposited by magnetron sputtering on PCrNi1MoA steel.

Author

Wan, Zirui, Shi, Wanyu, Geng, Xuehao, Xia, Yu, Xu, Zhigang, Peng, Jian, Shen, Qiang, Li, Wenjun, and Wang, Chuanbin

Subjects
DC sputtering, SUBSTRATES (Materials science), ADATOMS, ELASTIC modulus, MAGNETRON sputtering
Abstract

Cr coatings were prepared by direct current magnetron sputtering on PCrNi1MoA steel, a substrate that has received limited attention in previous studies. The influence of deposition temperature on the microstructure and mechanical properties of Cr coatings was clarified. A comparative analysis was also performed to assess their performance relative to Cr coatings on the stainless steel substrate. All coatings on PCrNi1MoA steel exhibited densely packed fibrous grains in the cross section and a faceted triangular pyramid shape on the surface. Generally, increasing the deposition temperature led to enhanced mechanical properties, primarily due to the reduction of flaws and microporosity, facilitated by the increased mobility of adatoms at higher temperatures. The maximum values of hardness (H), elastic modulus (E), ratios of H/E and H3/E2, and adhesion strength are 4.1 GPa, 117.8 GPa, 0.43, 0.45 GPa, and 27 N, respectively. Compared to the Cr coatings on stainless steel, those on PCrNi1MoA steel exhibited a higher (110) texture coefficient, more uniform grain structures at high deposition temperatures, smoother surfaces, and better adhesion to the substrate. [ABSTRACT FROM AUTHOR]

Published
2024
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18. PACC: A Proactive CNP Generation Scheme for Datacenter Networks

Author

Zhang, Jiao, Wang, Yuqing, Zhong, Xiaolong, Yu, Mingxuan, Pan, Haoyu, Zhang, Yali, Guan, Zixuan, Che, Biyao, Wan, Zirui, Pan, Tian, and Huang, Tao

Abstract

The rapid upgrade of link speed and the prosperity of new applications in data center networks (DCNs) lead to a rigorous demand for ultra-low latency and high throughput. To mitigate the overhead of traditional software-based packet processing at end-hosts, RDMA (Remote Direct Memory Access) has been widely adopted in DCNs. Particularly, congestion control (CC) mechanisms designed for RDMA have attracted much attention to avoid performance deterioration when packets lose. However, through comprehensive analysis, we found that existing RDMA CC schemes have limitations of a sluggish response to congestion and unawareness of tiny microbursts due to the long end-to-end control loop. In this paper, we propose PACC, a proactive and accurate switch-driven RDMA CC algorithm with easy deployability. PACC is driven by PI controller-based computation, threshold-based flow discrimination and weight-based allocation at the switch. It leverages real-time queue length to generate accurate congestion feedback proactively and piggybacks it to the corresponding source without modification to end-hosts. We theoretically analyze the stability, convergence and key parameter settings of PACC. Then, we implement PACC in a testbed consisting of DPDK-based end-hosts and Tofino P4 switches. In our evaluation, PACC achieves better fairness, fast reaction, high throughput, and 6~69% lower FCT (Flow Completion Time) than DCQCN, TIMELY, HPCC and RoCC.

Published
2024
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22. RCC: Enabling Receiver-Driven RDMA Congestion Control With Congestion Divide-and-Conquer in Datacenter Networks

Author

Zhang, Jiao, Zhong, Xiaolong, Wan, Zirui, Tian, Yu, Pan, Tian, and Huang, Tao

Abstract

The development of datacenter applications leads to the need for end-to-end communication with microsecond latency. As a result, RDMA is becoming prevalent in datacenter networks to mitigate the latency caused by the slow processing speed of the traditional software network stack. However, existing RDMA congestion control mechanisms are either far from optimal in simultaneously achieving high throughput and low latency or in need of additional in-network function support. In this paper, by leveraging the observation that most congestion occurs at the last hop in datacenter networks, we propose RCC, a receiver-driven rapid congestion control mechanism for RDMA networks that combines explicit assignment and iterative window adjustment. Firstly, we propose a network congestion distinguish method to classify congestions into two types, last-hop congestion and in-network congestion. Then, an Explicit Window Assignment mechanism is proposed to solve the last-hop congestion, which enables senders to converge to a proper sending rate in one-RTT. For in-network congestion, a PID-based iterative delay-based window adjustment scheme is proposed to achieve fast convergence and near-zero queuing latency. RCC does not need additional in-network support and is friendly to hardware implementation. In our evaluation, the overall average FCT (Flow Completion Time) of RCC is $4{\sim }79\%$ better than Homa, ExpressPass, DCQCN, TIMELY, and HPCC.

Published
2023
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23. HierCC: Hierarchical RDMA Congestion Control

Author

Zhang, Jiao, primary, Zhang, Yali, additional, Guan, Zixuan, additional, Wan, Zirui, additional, Xia, Yinben, additional, Pan, Tian, additional, Huang, Tao, additional, Tang, Dezhi, additional, and Lin, Yun, additional

Published
2021
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29. Potential Prognostic and Diagnostic Values of CDC6, CDC45, ORC6 and SNHG7 in Colorectal Cancer

Author

Hu, Yang, Wang, Liping, Li, Zhixing, Wan, Zirui, Shao, Mingjie, Wu, Shaobin, and Wang, Guo

Subjects
SNHG7, CDC45, ORC6, diagnostic, colorectal cancer, CDC6, prognostic, OncoTargets and Therapy, Original Research, CRC
Abstract

Yang Hu,1–4,* Liping Wang,5,* Zhixing Li,1–4 Zirui Wan,6 Mingjie Shao,4,7 Shaobin Wu,4,7 Guo Wang1–4 1Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, People’s Republic of China; 2Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, People’s Republic of China; 3Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, People’s Republic of China; 4National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, Hunan, People’s Republic of China; 5Department of Clinical Oncology, The First People’s Hospital of Chenzhou, Chenzhou 432000, Hunan, People’s Republic of China; 6Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, People’s Republic of China; 7Department of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha 410008, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shaobin Wu; Mingjie Shao Email shaobinwu@csu.edu.cn; 148302041@csu.edu.cnBackground: Colorectal cancer (CRC) is a common human malignancy. The aims of this study are to investigate the gene expression profile of CRC and to explore potential strategy for CRC diagnosis, therapy and prognosis.Methods: We use affy and Limma package of Bioconductor R to do differential expression genes (DEGs) and differential expression lncRNAs (DELs) analysis from the gene datasets (GSE8671, GSE21510, GSE32323, GSE39582 and TCGA) respectively. Then, DEGs were analyzed by GO and KEGG pathway and Kaplan-Meier survival curve and Cox regression analyses were used to find aberrantly expressed genes associated with survival outcome of CRC patients. Real-time PCR assay was used to verify the aberrantly expressed genes expression in CRC samples.Results: 306 up-regulation and 213 down-regulation common DEGs were found. A total of 485 DELs were identified, of which 241 up-regulated and 244 down-regulated. Then, GO and KEGG pathway analyses showed that DEGs were involved in cell cycle, mineral absorption, DNA replication, and Nitrogen metabolism. Among them, Kaplan-Meier survival curve and Cox regression analyses revealed that CDC6, CDC45, ORC6 and SNHG7 levels were significantly associated with survival outcome of CRC patients. Finally, real-time PCR assay was used to verify that the CDC6, CDC45, ORC6 and SNHG7 expression were up-regulated in 198 CRC samples compared with the expression levels in individual-matched adjacent mucosa samples.Conclusion: CDC6, CDC45, ORC6 and SNHG7 are implicated in CRC initiation and progression and could be explored as potential diagnosis, therapy and prognosis targets for CRC.Keywords: colorectal cancer, CRC, CDC6, CDC45, ORC6, SNHG7, prognostic, diagnostic

Published
2019

33. Potential Prognostic and Diagnostic Values of CDC6, CDC45, ORC6 and SNHG7 in Colorectal Cancer

Author

Hu,Yang, Wang,Liping, Li,Zhixing, Wan,Zirui, Shao,Mingjie, Wu,Shaobin, Wang,Guo, Hu,Yang, Wang,Liping, Li,Zhixing, Wan,Zirui, Shao,Mingjie, Wu,Shaobin, and Wang,Guo

Abstract

Yang Hu,1–4,* Liping Wang,5,* Zhixing Li,1–4 Zirui Wan,6 Mingjie Shao,4,7 Shaobin Wu,4,7 Guo Wang1–4 1Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, People’s Republic of China; 2Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, People’s Republic of China; 3Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, People’s Republic of China; 4National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, Hunan, People’s Republic of China; 5Department of Clinical Oncology, The First People’s Hospital of Chenzhou, Chenzhou 432000, Hunan, People’s Republic of China; 6Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, People’s Republic of China; 7Department of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha 410008, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shaobin Wu; Mingjie Shao Email shaobinwu@csu.edu.cn; 148302041@csu.edu.cnBackground: Colorectal cancer (CRC) is a common human malignancy. The aims of this study are to investigate the gene expression profile of CRC and to explore potential strategy for CRC diagnosis, therapy and prognosis.Methods: We use affy and Limma package of Bioconductor R to do differential expression genes (DEGs) and differential expression lncRNAs (DELs) analysis from the gene datasets (GSE8671, GSE21510, GSE32323, GSE39582 and TCGA) respectively. Then, DEGs were analyzed by GO and KEGG pathway and Kaplan-Meier survival curve and Cox regression analyses were used to find aberrantly expressed genes associated with survival outcome of CRC patients. Real-time PCR assay was used to verify th

Published
2019

36. Analysis of ABCG2 methylation in stool samples of Chinese healthy males by pyrosequencing.

Author

Peng Y, Xu B, Tang J, Wan Z, Sun H, Wang G, and Zhu YS

Subjects
ATP Binding Cassette Transporter, Subfamily G, Member 2 metabolism, Adult, Asian People, CpG Islands genetics, DNA Methylation, Epigenesis, Genetic, Exons, Healthy Volunteers, Humans, Male, Neoplasm Proteins metabolism, Promoter Regions, Genetic, ATP Binding Cassette Transporter, Subfamily G, Member 2 genetics, Feces chemistry, Neoplasm Proteins genetics, Sequence Analysis, Protein methods
Abstract

ABCG2, an efflux pump protein-BCRP coding gene, is involved in the acquisition of chemotherapeutic drug resistance. In recent years, the epigenetic regulation of ABCG2, such as DNA methylation, has become a research hotspot and been attracting widespread attention. Methylation Special PCR (MSP) has been the mainly used method for gene methylation detection for a long time. With the development of pyrosequencing (PSQ) instrument and the convenience, simpleness, and economical benefit it brings, it will become the mainstream method for gene methylation detection in the near future. This study aims to establish a pyrosequencing method for detecting the methylation sites on ABCG2 gene promoter up-stream region, the promoter region and the first exon region, and to detect the methylation level of each site in stool samples, respectively. Thus, it cannot only lay the methodological foundation for the study of BCRP-mediated multi-drug resistance mechanisms in tumor cells, but also can give knowledge of ABCG2 methylation distribution in the intestine of Chinese healthy males by detecting the ABCG2 methylation levels in stool samples as the exfoliated intestinal epithelial cells constantly shed into the stool.

Published
2016
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