王鑫烨

王鑫烨

研究方向：机器学习、数据挖掘、异常检测

Email: wangxinye@tiangong.edu.cn

博士、讲师

个人简介——————————————————————————————

王鑫烨，女，天津工业大学人工智能学院讲师，工程博士，主要研究方向为机器学习、数据挖掘、异常检测。2018年在天津理工大学获得数学与应用数学理学学士学位；2020年在中国农业大学获得数学理学硕士学位；2025年在四川大学获得电子信息专业工程博士学位。在国内外重要学术期刊和会议上发表学术论文10余篇，参与多项国家级项目。

教育和工作经历 ———————————————————————————

2025-至今，天津工业大学 人工智能学院 讲师；

2021-2025，四川大学 计算机学院（软件学院） 博士；

2018-2020，中国农业大学 理学院 硕士；

2014-2018，天津理工大学 理学院 学士；

主要科研项目 ————————————————————————————

[1] 女性癫痫患者全程管理知识图谱的建立及诊疗应用，校级医工融合创新项目，10万，参与；

[2] 面向多源时态数据的异化子空间挖掘研究，国家自然科学基金面上项目，66万，参与；

[3] 基于对比数据挖掘的海量电商用户异常行为识别关键技术研究，京东合作项目，35万，参与；

[4] 大规模动态行为网络的异常检测与可解释关键技术研究，国家自然科学基金面上项目，50万，参与；

主要学术论文 ————————————————————————————

1.Xinye Wang, Lei Duan*, Zhenyang Yu, Chengxin He and Zhifeng Bao: Robust Multi-Kernel Nearest Neighborhood for Outlier Detection. IEEE Transactions on Knowledge and Data Engineering, 36(8):4220-4231, 2024. (CCF A, SCI-Q1 top, IF:10.4)

2.Xinye Wang, Lei Duan*, Chengxin He, Yuanyuan Chen and Xindong Wu: An Efficient Adaptive Multi-Kernel Learning With Safe Screening Rule for Outlier Detection. IEEE Transactions on Knowledge and Data Engineering, 36(8):3656-3669, 2024. (CCF A, SCI-Q1 top, IF:10.4)

3.Xinye Wang, Lei Duan*, Lili Guan, Jiaxuan Xu et al: Learning Decision Boundaries for Multi-dimensional Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems. DOI:10.1109/TNNLS.2025.3540602. (CCF B, SCI-Q1 top, IF:10.2)

4.Xinye Wang, Yitian Xu*: Label Pair of Instances-Based Safe Screening for Multilabel Rank Support Vector Machine. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(3):1907-1919, 2023. (CCF B, SCI-Q1 top, IF:8.7)

5.Xinye Wang, Yi Yang, Yitian Xu*, Qian Chen, Hongmei Wang, Huafang Gao: Predicting Hypoglycemic Drugs of Type 2 Diabetes Based on Weighted Rank Support Vector Machine. Knowledge-Based Systems, 197: 105868, 2020. (CCF C, SCI-Q1 top, IF:7.6)

6.Xiaocong Chen, Xinye Wang*, Yang Wang, Chao Han, Lei Duan*: Learning Enhanced Representations via Contrasting for Multi-view Outlier Detection. Proceedings of the 2023 Database Systems for Advanced Applications, DASFAA 2023: 110-120. (CCF B, EI)

7.Zhenyang Yu, Xinye Wang*, Bingzhe Zhang, Zhaohang Luo, Lei Duan*: TUAF: Triple-Unit-Based Graph-Level Anomaly Detection with Adaptive Fusion Readout. Proceedings of the 2023 Database Systems for Advanced Applications, DASFAA 2023: 415-430. (CCF B, EI)

8.Bingzhe Zhang, Xinye Wang*, Zhenyang Yu, Yuanhao Zhang, Chengxin He, Song Deng, Zhaohang Luo, Lei Duan*: Enhancing GNN-based Fraud Detector via Semantic Extraction and Max-Representation-Margin. Proceedings of the 2023 IEEE International Conference on Data Mining, ICDM, 2023: 1523-1528. (CCF B, EI)

9.Yang Wang, Xinye Wang, Chengxin He, et al: Community-Guided Contrastive Learning with Anomaly-Aware Reconstruction for Anomaly Detection on Attributed Networks. DASFAA 2024:199-209. (CCF B, EI)

10.Junjie Zhang, Xinye Wang, Zhenyang Yu, Menglin Huang, Lei Duan, Jie Zuo*: STEAM: SVDD-based Anomaly Detection on Attributed Networks via Multi-Autoencoders. HPCC 2022: 595-602. (CCF C, EI)

11.Shaojun Duan, Xinye Wang, Zhenyang Yu, Chengxin He, Zhaohang Luo, Song Deng, Lei Duan: Substructure-Guided Graph-Level Anomaly Detection with Attention-Aware Aggregation. WAIM (4) 2024: 494-509 (CCF C, EI)

12.Runze Ma, Yidan Zhang, Xinye Wang, Zhenyang Yu, Lei Duan: MORN: Molecular Property Prediction Based on Textual-Topological-Spatial Multi-View Learning. CIKM, 2022: 1461-1470. (CCF B, EI)

13.Lili Guan, Leo Duan, Xinye Wang, Haifeng Wang and Rui Lin: Weighted-digraph-guided multi-kernelized learning for outlier explanation. Information Fusion, 119:103026 (2025). (SCI-Q1 top, IF:15.5)

14.Zihao Chen, Lei Duan, Xinye Wang: An Efficient Method for Outlying Aspect Mining Based on Genetic Algorithm. Proceedings of the 2022 Advanced Data Mining and Applications, ADMA (1) 2022: 337-351. (CCF C, EI)

15.Hongmei Wang, Yitian Xu, Qian Chen, Xinye Wang: Diagnosis of Complications of Type 2 Diabetes Based on Weighted Multi-label Small Sphere and Large Margin Machine. Applied Intelligence, 51(1): 223-236 (2021). (SCI-Q3, IF:3.5)

16.Runze Ma, Chengxin He, Huiru Zheng, Xinye Wang, Haiying Wang, Yidan Zhang and Lei Duan: SCOP: A Sequence-Structure Contrast-Aware Framework for Protein Function Prediction. BIBM 2024: 79-84. (CCF B, EI)

17.Chengxin He, Lei Duan, Huiru Zheng, Xinye Wang, Lili Guan and Jiaxuan Xu: A Representation Learning Approach for Predicting circRNA Back-Splicing Event via Sequence-Interaction-Aware Dual Encoder. IEEE Transactions on NanoBioscience, 23(4):603-611. (SCI-Q3, IF:4.4)