个人简介：

黄维，女，讲师（校特聘副研究员），2023年加入福建省网络计算与智能信息处理重点实验室。研究兴趣包括数据挖掘、大数据分析、人工智能、联邦学习、城市计算、知识图谱等。曾在IEEE Transaction on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Cybernetics, IEEE Transactions on Big Data, Information Fusion，Information Sciences, Pattern Recognition等国际期刊上发表关于联邦学习、深度学习、知识图谱、城市计算等相关领域研究论文，申请并授权发明专利多项。在数据挖掘、大数据分析、人工智能、联邦学习、深度学习、知识图谱、数据融合与城市计算应用等领域积累了丰富的研究经验和相关成果。担任2023 The 18th International Conference on Intelligent Systems and Knowledge Engineering（ISKE2023）程序委员会主席，担任多个期刊的特邀审稿人。

教育背景如下：

2019.09-2023.06   西南交通大学，计算机科学与技术，博士，导师：李天瑞

2016.09-2019.06   福建师范大学，软件工程，硕士，导师：黄添强

招生信息：

目前硕士招生专业:计算机科学与技术、软件工程。欢迎勤奋好学，具有良好编程能力和英语能力，对数据挖掘、大数据分析、人工智能、联邦学习、城市计算、知识图谱感兴趣的研究生和本科生与我联系。

办公地址：bat365中文官方网站2号楼409

联系邮箱：huangweifujian@126.com

科研项目：

1、国家重点研发计划项目：国家中心城市数据管控与知识萃取技术和系统应用， 2019-2022， 参与。

2、国家自然科学基金面上项目：面向城市时空大数据的深度协同融合与跨域联邦学习技术研究, 2022-2025，参与。

3、国家自然科学基金面上项目：面向城市大数据的深度学习模型与方法研究 , 2018-2021，参与。

科研成果：

[1] Wei Huang, Jia Liu, Tianrui Li, Tianqiang Huang, Shenggong Ji, Jihong Wan. FedDS: Daily schedule recommendation in a federated deep reinforcement learning framework[J]. IEEE Transactions on Knowledge and Data Engineering, 2023,35(4): 3912-3924.

[2] Wei Huang, Tianrui Li, Jia Liu, Peng Xie, Shengdong Du, Fei Teng. An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability[J]. Information Fusion, 75(2021):28-40.

[3] Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang, Tianqiang Huang. Fairness and accuracy in horizontal federated learning[J]. Information Sciences, 2022(589): 170-185.

[4] Wei Huang, Jia Liu, Tianrui Li, Shenggong Ji, Dexian Wang, Tianqiang Huang. FedCKE: Cross-domain knowledge graph embedding in federated learning[J]. IEEE Transactions on Big Data, 2022.

[5] Wei Huang, Lingpeng Lin, Tianqiang Huang, Jing Lin, Xueli Zhang. Scale-adaptive tracking based on perceptual hash and correlation filter[J]. Multimedia Tools and Applications, 2019, 78(12): 16011-16032.

[6] Jia Liu, Wei Huang（共同一作）, Hao Li , Shenggong Ji Yajun Du. SLAFusion: Attention fusion based on SAX and LSTM for dangerous driving behavior detection[J]. Information Sciences, 2023.

[7] Jia Liu, Wei Huang , Tianrui Li, Shenggong Ji. Cross-domain knowledge graph chiasmal embedding for multi-domain item-item recommendation[J]. IEEE Transactions on Knowledge and Data Engineering, 2023.

[8] Al-Huthaifi Rasha, Tianrui Li, Wei Huang, Jin Gu, Chongshou Li. Federated Learning in Smart Cities: Privacy and Security Survey[J]. Information Sciences, 2023.

[9] Jia Liu, Tianrui Li, Zhong Yuan, Wei Huang, Peng Xie, Qianqian Huang. Symbolicaggregate approximation based data fusion model for dangerous driving behavior detection[J]. Information Sciences, 2022(609):626-643.

[10] Jihong Wan, Hongmei Chen, Tianrui Li, Jia Liu, Wei Huang. Interactive and Complementary Feature Selection via Fuzzy Multi-granularity Uncertainty Measures[J]. IEEE Transactions on Cybernetics, 2021(10): 1-14.

[11] Jihong Wan, Hongmei Chen, Tianrui Li, Wei Huang, Min Li, Chuan Luo. R2CI: Information theoretic-guided feature selection with multiple correlations[J]. Pattern Recognition, 2022, 127: 108603.

[12]  Dexian Wang, Tianrui Li, Ping Deng, Fan Zhang, Wei Huang, Pengfei Zhang, Jia Liu. A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization [J]. ACM Transactions on Knowledge Discovery from Data , 2023.

[13] Dexian Wang, Tianrui Li, Ping Deng, Jia Liu, Wei Huang, Fan Zhang. A Generalized Deep Learning Algorithm based on NMF for Multi-view Clustering[J]. IEEE Transactions on Big Data, 2022.

[14] Tianqiang Huang, Xueli Zhang, Wei Huang, Lingpeng Lin, Weifeng Su. A multi-channel approach through fusion of audio for detecting video inter-frame forgery[J]. Computers & Security, 2018, 77: 412-426.

[15] Lingpeng Lin, Tianqiang Huang, Wei Huang, Han Pu, Peng Shi. Low rank theory-based interframe forgery detection for blurry video[J]. Journal of Electronic Imaging, 2019, 28(6): 063010.