刘萌，1991年生，博士研究生，教授，硕士生导师。

主要研究方向为多媒体计算以及信息检索，具体研究课题包括但不仅限于：text-video retrieval，image-text matching，moment localization via natural language，language-guided object localization，multimodal dialog，Vision+Language任务。

学习工作经历：

2013年河南大学，数学与统计学院本科毕业

2016年大连理工大学，数学科学学院硕士毕业

2019年山东大学，计算机科学与技术学院博士毕业

于2017年9月赴新加坡交流学习一年。

2020.1至今，山东建筑大学 计算机科学与技术学院 教师

担任国际期刊和会议Information Sciences, Journal of Visual Communication, Multimedia Systems Journal, ACM Multimedia, IEEE TIP 和International Conference on Multimedia Modeling的审稿人，Multimedia Systems期刊的客座编辑，ICME 2020国际会议的session chair。

主要主持及参与项目：

1.面向三维数据的深度神经网络研究与设计，国家自然科学基金面上项目

2.视觉注意重定向研究，青年科学基金项目

3.面向短视频表示学习的技术研究，国家自然科学基金面上项目

4.科技部重点研发“人机协同智能系统软硬件技术研究”的课题二：大规模知识处理与推理

5.基于目标行为的视频流智能检索，国家自然科学基金委重点项目

发表论文：

1.Meng Liu, Liqiang Nie, Meng Wang, and Baoquan Chen. Towards Micro-video Understanding by Joint Sequential-Sparse Modeling. In Proceedings of the ACM Conference on Multimedia 2017.

2.Meng Liu, Xiang Wang, Liqiang Nie, Qi Tian, Baoquan Chen, and Tat-Seng Chua. Cross-modal Moment Localization in Videos. In Proceedings of the ACM Conference on Multimedia 2018.

3.Meng Liu, Xiang Wang, Liqiang Nie, Baoquan Chen, and Tat-Seng Chua. Attentive Moment Retrieval in Videos. The International ACM SIGIR 2018 Conference on Research and Development in Information Retrieval.

4.Meng Liu, Liqiang Nie, Xiang Wang, Qi Tian, and Baoquan Chen. Online Data Organizer: Micro-video Categorization by Structure-guided Multimodal Dictionary Learning. IEEE TIP 2019.

5.Jichao Zhang, Yezhi Shu, Songhua Xu, Gongze Cao, Fan Zhong,Meng Liu, Xueying Qin. Sparsely Grouped Multi-Task Generative Adversarial Networks for Facial Attribute Manipulation. In Proceedings of the ACM Conference on Multimedia 2018.

6.Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua. KGAT: Knowledge Graph Attention Network for Recommendation. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2019.

7.Liqiang Nie, Meng Liu, and Xuemeng Song. Multimodal Learning towards Micro-video Understanding. Synthesis Lectures on Image, Video, and Multimedia Processing 9(4), 1-186, Morgan & Claypool Publishers 2019, Book.

8.Yongqi Li, Meng Liu, Jianhua Yin, Chaoran Cui, Xin-Shun Xu and Liqiang Nie. Routing Micro-videos via A Temporal Graph-guided Recommendation System. In Proceedings of the ACM Conference on Multimedia 2019.

9.Tian Gan, Shaokun Wang, Meng Liu, Xumeng Song, Yiyang Yao and Liqiang Nie. Seeking Micro-influencers for Brand Promotion. In Proceedings of the ACM Conference on Multimedia 2019.

10.Hao Jiang, Wenjie Wang, Meng Liu, Liqiang Nie, Ling-Yu Duan and Changsheng Xu. Market2Dish: A Health-aware Food Recommendation System. In Proceedings of the ACM Conference on Multimedia 2019.

11.Mengmeng Li, Tian Gan, Meng Liu, Zhiyong Cheng, Jianhua Yin and Liqiang Nie. Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network. In Proceedings of the ACM International Conference on Information and Knowledge Management 2019.

12.Changfeng Sun, Han Liu, Meng Liu, Zhaochun Ren, Tian Gan and Liqiang Nie. LARA: Attribute-to-feature Adversarial Learning for Item Cold-start Recommendation. In Proceedings of the ACM International Conference on Web Search and Data Mining 2019.

13.Shengjing Tian, Xiuping Liu, Meng Liu, Shuhua Li, Baocai Yin. Siamese Tracking Network with Informative Enhanced Loss. IEEE Transactions on Multimedia, 2020.