Yajie Dou

dblp:132/4333 · DBLP profile ↗
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9ranked-venue papers in the field
0as first author
8since 2021 · last 2026
0000-0003-2226-072XORCID · conflict

Domains — venue-derived; a paper can count in several

Other / Interdisciplinary · 6Knowledge Engineering, Semantic Web & Information Systems · 2Data Mining & Knowledge Discovery · 1
YearPublicationVenuePosition
2026 HAMLET: Heterogeneous Graph with Automated Meta-path Learning and Enhanced Transformer for List Recommendation
Gangzheng Guo, Yajie Dou
KSEM (3)2
2025 A multi-view contrastive embedding framework for filtering fuzzy requirements of complex products
Yufeng Ma, Yajie Dou, Anastasia Dimou, Xuemin Duan, Yuejin Tan
Adv. Eng. Informatics3
2024 Multicriteria requirement ranking based on uncertain knowledge representation and reasoning
Yufeng Ma, Yajie Dou, Xiangqian Xu, Jiang Jiang 0001, Ke-Wei Yang 0001, Yuejin Tan
Adv. Eng. Informatics2
2024 Requirements prioritization for complex products based on fuzzy associative predicate representation learning
Yufeng Ma, Yajie Dou, Xiangqian Xu, Yuejin Tan, Ke-Wei Yang 0001
Adv. Eng. Informatics2
2024 A product requirement influence analysis method based on multilayer dynamic heterogeneous networks
Xiangqian Xu, Yajie Dou, Weijun Ouyang, Jiang Jiang 0001, Ke-Wei Yang 0001, Yuejin Tan
Adv. Eng. Informatics2
2024 Integrating adaptive fuzzy embedding with topology and property hypergraphs: Enhancing membership degree-aware knowledge graph reasoning
Yufeng Ma, Yajie Dou, Xiangqian Xu, Yuejin Tan, Ke-Wei Yang 0001
Inf. Sci.2
2023 A product requirement development method based on multi-layer heterogeneous networks
Xiangqian Xu, Yajie Dou, Weijun Ouyang, Jiang Jiang 0001, Ke-Wei Yang 0001, Yuejin Tan
Adv. Eng. Informatics2
2023 Quality improvement method for high-end equipment's functional requirements based on user stories
abstract
Aiming at problems such as incomplete, inconsistent, and inaccurate requirements that often occur in the process of obtaining high-end equipment functional requirements, this paper presents a requirement quality improvement method. Referring to the agile development theory of requirements engineering, the quality improvement method constructs a functional requirement model based on user stories, defines the concept of functional requirement quality, designs functional requirement quality evaluation criteria, and constructs a functional requirement quality evaluation process. A case study and sensitivity analysis of new energy vehicle requirement development are conducted to confirm the feasibility and effectiveness of the method, and the experimental results show the superiority of the proposed method in improving the quality of high-end equipment functional requirements.
Xiangqian Xu, Yajie Dou, Liwei Qian, Jiang Jiang 0001, Ke-Wei Yang 0001, Yuejin Tan
Adv. Eng. Informatics2
2019 Similarity measures for time series data classification using grid representation and matrix distance
Yanqing Ye, Jiang Jiang 0001, Bingfeng Ge, Yajie Dou, Ke-Wei Yang 0001
Knowl. Inf. Syst.4