Xiaoming Ding

dblp:57/562 · DBLP profile ↗
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9ranked-venue papers
1as first author
5since 2021 · last 2025
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 7 · 5 since 2021Databases, data management, data science and information retrieval · 4 · 4 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 1 first-authorSoftware engineering, systems software and programming languages · 1
YearPublicationVenuePosition
2025 Balancing act: engagement detection in online learning through master-assistant models with an enhanced hierarchical attention mechanism
Tingting Han 0002, Ruqian Liu, Shuwei Dou, Wei Wang 0046, Xiaoming Ding, Wenxia Zhang, Jihao Lang, Jixing Han
Appl. Intell.5
2024 GC-DAWMAR: A Global-Local Framework for Long-Term Time Series Forecasting
Peihao Ding, Xiaoming Ding, Caijie Guo
KSEM (3)3
2024 Random Virtual Embeddings Bootstrap High-Degree Item Diffusion for Recommendation
Minghong Luo, Zheng Su, Xiaoming Ding
KSEM (4)4
2024 ANGCN: Adaptive Neighborhood-Awareness for Recommendation
Minghong Luo, Zheng Su, Xiaoming Ding
KSEM (4)4
2023 RTAD-TP: Real-Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two-Parameter Estimation
Qiyun Fan, Xiaoming Ding, Qianglong Huangfu, Peihao Ding
KSEM (1)3
2018 Research on Software Quality Assurance Based on Software Quality Standards and Technology Management
abstract
This paper focuses on the relationship between software quality standards and software quality assurance. According to the software engineering international standard ISO/IEC 25000 series localization process in China, how to ensure the software quality by software standard and technology management is explored. It is pointed out that software quality needs to be guaranteed by software quality standard, software quality assessment and software test process management mechanism.
Xiaoming Ding, Wenjun Ren, Chujun Yang
SNPD2
2014 Negative selection algorithm based on grid file of the feature space
Wen Chen 0025, Xiaoming Ding, Tao Li 0016
Knowl. Based Syst.2
2010 proTF: a comprehensive data and phylogenomics resource for prokaryotic transcription factors
abstract
UNLABELLED: Investigation of transcription factors (TFs) is of extreme significance for gleaning more information about the mechanisms underlying the dynamic transcriptional regulatory network. Herein, proTF is constructed to serve as a comprehensive data resource and phylogenomics analysis platform for prokaryotic TFs. It has many prominent characteristics: (i) detailed annotation information, including basic sequence features, domain organization, sequence homolog and sequence composition, was extensively collected, and then visually displayed for each TF entry in all prokaryotic genomes; (ii) workset was employed as the basic frame to provide an efficient way to organize the retrieved data and save intermediate records; and (iii) a number of elaborated tools for phylogenomics analysis were implemented to investigate the evolutionary roles of specific TFs. In conclusion, proTF dedicates to the prokaryotic TFs with integrated multi-function, which will become a valuable resource for prokaryotic transcriptional regulatory network in the post-genomic era. AVAILABILITY: http://centre.bioinformatics.zj.cn/proTF.
Junrong Wang, Lijing Bu, Junming Hu, Qiyu Bao, Guoping Zhao, Xiaoming Ding
Bioinform.10
2006 A feature recognition approach for mold machining
Xiaoming Ding, Yiqiang Lu, Ridong Jiang
CAINE1