孟雷，教授、博导，2020年起就职于山东大学软件学院，入选齐鲁青年学者（第一层次）。2010年于山东大学获得工学学士学位，2015年于新加坡南洋理工大学（NTU）计算机科学与工程学院获得博士学位，导师Ah-Hwee Tan教授。2015年就职于Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly (LILY)，合作导师为南洋理工大学苗春燕教授和英属哥伦比亚大学Cyril Leung教授。2018年就职于NUS-Tsinghua-Southampton Centre for Extreme Search (NExT++)，合作导师为新加坡国立大学Tat-Seng Chua教授。

长期从事面向复杂多媒体大数据分析的机器学习理论与技术研究，重点开展多媒体聚类、知识挖掘、内容识别与检索等方面的研究工作，取得一批有国际影响的创新成果，其中一些研究成果填补了领域空白。目前研究聚焦在自适应谐振原理（ART）、深度学习及其在多媒体、数据挖掘、健康领域的人工智能应用，包括以下方向：

1. 面向大数据分析的ART聚类算法

a) 参数自适应算法

b) 多模态融合算法

c) 半／自监督学习算法

d) 终生学习算法

2. 面向社交媒体分析的深度学习模型

a) 多模态融合的饮食识别与推荐算法

b) 小样本学习的对抗迁移学习和元学习算法

c) 面向特权信息嵌入的图神经网络和知识图谱

d) 不平衡数据学习

3. 基于跨模态推理的可解释深度学习框架

4. 基于多源多模态数据的视频/动画内容分析与生成

在Springer出版英文专著一部，在TKDE、TCYB 、TMM、TNNLS、Neural Networks、MM、AAAI等中科院一区SCI期刊和CCF A类学术会议上发表学术论文二十余篇，获得国际发明专利2项，以负责人主持国家自然科学基金青年科学基金项目1项。担任Applied Soft Computing期刊的编委， 担任MM、SIGIR、KDD、ICDM、SDM以及TNNLS等会议和期刊的审稿人和程序/技术委员会成员，是国际神经网络协会（INNS）, 电子与电气工程师协会（IEEE）以及人工智能促进协会（AAAI）的会员。

• 2006.9~2010.7 山东大学计算机科学与技术专业学习，获工学学士学位

• 2010.8~2015.2 南洋理工大学计算机工程专业学习，获哲学博士学位

• 2015.1~2018.11 南洋理工大学百合卓越联合研究中心（LILY），研究员

• 2018.12~2020.9 新加坡国立大学下一代搜索技术联合研究中心（NExT++）, 高级研究员

• 2020.10~至今 山东大学软件学院，教授、博导

•       2021.1~2023.12 面向医养健康的个性化饮食推荐方法研究，国家自然基金委，负责人

•   Lei Meng, Ah-Hwee Tan, and Donald C. Wunsch II, “Adaptive Resonance Theory in Social Media Data Clustering – Roles, Methodologies, and Applications,” Advanced Information and Knowledge Processing Series, Springer, 2019.

期刊

• Wenya Guo, Ying Zhang, Xiangrui Cai, Lei Meng, Jufeng Yang, Xiaojie Yuan, “LD-MAN: Layout-Driven Multimodal Attention Network for Online News Sentiment Recognition,” IEEE Transactions on Multimedia, Accepted, 2020.

• Lei Meng, Ah-Hwee Tan, Chunyan Miao, “Salience-Aware Adaptive Resonance Theory for Large-Scale Sparse Data Clustering,” Neural Networks, vol. 120, pp. 143-157, 2019.

• Ah-Hwee Tan, Budhitama Subagdja, Di Wang, Lei Meng, “Self-Organizing Neural Networks for Universal Learning and Multimodal Memory Encoding,” Neural Networks, vol. 120, pp. 58-73, 2019.

• Yingjie Xia, Luming Zhang, Lei Meng, Yan Yan, Liqiang Nie, and Xuelong Li, “Exploring Web Images to Enhance Skin Disease Analysis Under A Computer Vision Framework," IEEE Transactions on Cybernetics, vol. 48, no. 11, pp. 3080-3091, 2018.

• Lei Meng, Chunyan Miao, and Cyril Leung, “Towards Online and Personalized Daily Activity Recognition, Habit Modeling, and Anomaly Detection for the Solitary Elderly Through Unobtrusive Sensing,” Multimedia Tools and Applications, vol. 76, no. 8, pp. 10779-10799, 2017.

• Lei Meng, Ah-Hwee Tan and Donald C. Wunsch II, “Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 27, no. 12, pp. 2656-2669, 2016.

• Liqiang Nie, Luming Zhang, Lei Meng, Xuemeng Song, Xiaojun Chang, and Xuelong Li, “Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 28, no. 7, pp. 1508-1519, 2016.

• Lei Meng, Ah-Hwee Tan and Dong Xu, “Semi-Supervised Heterogeneous Fusion for Multimedia Data Co-clustering,” IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 26, no. 9, pp. 2293-2306, 2014.

会议

• Lei Meng, Fuli Feng, Xiangnan He, Xiaoyan Gao, Tat-Seng Chua, “Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation,” ACM International Conference on Multimedia (MM), accepted, 2020.

• Chuang Lin, Sicheng Zhao, Lei Meng*, Tat-Seng Chua, “Multi-Source Domain Adaptation for Visual Sentiment Classification,” AAAI, accepted, 2020.

• Lei Wu, Xi Chen, Lei Meng*, Xiangxu Meng, “Multitask Adversarial Learning for Chinese Font Style Transfer,” International Joint Conference on Neural Networks (IJCNN), accepted, 2020.

• Lei Meng, Long Chen, Xun Yang, Dacheng Tao, Hanwang Zhang, Chunyan Miao, Tat-Seng Chua, “Learning Using Privileged Information for Food Recognition,” ACM International Conference on Multimedia (MM), pp. 557-565, 2019.

• Xinjia Yu, Lei Meng, Xiaohai Tian, Simon Fauvel, Bo Huang, Frank Guan, Zhiqi Shen, Chunyan Miao, Cyril Leung, “Usability Analysis of the Novel Functions to Assist the Senior Customers in Online Shopping,” International Conference on Human Computer Interaction, pp. 173-185, 2018.

• Xiaohai Tian, Lei Meng, Siyuan Liu, Zhiqi Shen, Eng Siong Chng, Cyril Leung, Frank Yunqing Guan, and Chunyan Miao, “Novel Functional Technologies Towards Age-friendly E-commerce,” HCI International Conference, pp.150-158, 2017.

• Lei Meng, Quy Hy Nguyen, Xiaohai Tian, Zhiqi Shen, Eng Siong Chng, Frank Yunqing Guan, Chunyan Miao, and Cyril Leung, “Towards Age-friendly E-commerce Through Crowd-improved Speech Recognition, Multimodal Search, and Personalized Speech Feedback,” International Conference on Crowd Science and Engineering, pp. 1-8, 2016.

• Lei Meng, Ah-Hwee Tan, Cyril Leung, Liqiang Nie, Tat-Seng Chua, and Chunyan Miao, “Online Multimodal Co-indexing and Retrieval of Weakly Labeled Web Image Collections,” ACM International Conference on Multimedia Retrieval (ICMR), pp. 219-226, 2015.

• Lei Meng and Ah-Hwee Tan, “Community Discovery in Social Networks via Heterogeneous Link Association and Fusion,” SIAM International Conference on Data Mining (SDM), pp. 803-811, 2014.

• Lei Meng, Ah-Hwee Tan and Donald C. Wunsch II, “Vigilance Adaptation in Adaptive Resonance Theory,” International Joint Conference on Neural Networks, pp. 1-7, 2013.

• Lei Meng and Ah-Hwee Tan, “Semi-supervised Hierarchical Clustering for Personalized Web Image Organization,” International Joint Conference on Neural Networks, pp. 252-258, 2012.

• Lei Meng, Zhaoyan Ming, Tat-Seng Chua, “Food Recognition Enhanced Using Privileged Information,” ILO Ref: 2019-243-01, SG Non-Provisional Application No. 10201907991T, Singapore, 29 Aug. 2019.

• Lei Meng, Fuli Feng, Xiangnan He, Tat-Seng Chua, “A Visually-aware Food Recommender based on Dual-gating Multi-task Learning,” ILO Ref: 2020-286-01, SG Non-Provisional Application No. 10202009048R, Singapore, 15 Sep. 2020.