Email: meng.wang [at] seu.edu.cn.
Research Interests: Semantic Search, QA, Knowledge Graph, NLP, Cross-Modal Data, and AI
Learn more about my research in Webcast: Bilibili (我的直播间)
Greeting! I am working as an assistant professor in the Knowledge Graph & AI Research Group, School of Computer Science and Engineering, Southeast University, China. I am also a SEU Zhishan Young Scholar (awarded in 2019). I obtained the doctoral degree from the Department of Computer Science and Technology, Xi’an Jiaotong University in 2018, under the supervision of Prof. Jun Liu. I was a visiting scholar, working with Prof. Xue Li and Prof. Xiaofang Zhou, in the DKE lab at University of Queensland, Australia in 2016. My research area is in the knowledge graph (KG), semantic search, NLP, and cross-modal data. My research goal is to solve real problems with KG in real life, such as healthcare, education, and legal areas. I have healthy research collaborations with many institutions and enterprises, such as Tencent, Baidu, and Alibaba.
Xinyue Zhang, Meng Wang*, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Guilin Qi, and Haofen Wang. Revealing Secrets in SPARQL Session Level. International Semantic Web Conference (ISWC 2020). [PDF] (*: Corresponding Author)
Weitao Wang, Ruyang Liu, Meng Wang*, Sen Wang, Xiaojun Chang, and Yang Chen. Memory-Based Network for Scene Graph with Unbalanced Relations. 28th ACM International Conference on Multimedia (MM 2020). (*: Corresponding Author)
Zheyi Liu, Darong Lai, Chuanyou Li and Meng Wang. Feature Fusion Based Subgraph Classification for Link Prediction. 29th ACM International Conference on Information and Knowledge Management (CIKM 2020).
Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang and Beilun Wang. Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. International Joint Conference on Artificial Intelligence (IJCAI 2020).
Bei Wu, Bifan Wei, Jun Liu, Kewei Wu and Meng Wang. Faceted Text Segmentation via Multi-Task Learning. IEEE Transactions on Neural Networks and Learning Systems (accepted)..
Meng Wang, Tongtong Wu and Guilin Qi. A Hash Learning Framework for Search-Oriented Knowledge Graph Embedding. 24th European Conference on Artificial Intelligence (ECAI 2020).
Weitao Wang, Meng Wang*, Sen Wang, Guodong Long, Lina Yao, Guilin Qi and Yang Chen. One-Shot Learning for Long-Tail Visual Relation Detection. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). (*: Corresponding Author)
Meng Wang, Haomin Shen, Sen Wang, Lina Yao, Yinlin Jiang, Guilin Qi and Yang Chen. Learning to Hash for Efficient Search over Incomplete Knowledge Graphs. 19th International Conference on Data Mining (ICDM 2019).
Xinyu Ma, Yuhao Yang, Meng Wang. BSI: A System for Predicting and Analyzing Accident Risk. 2019 International Conference on Advanced Data Mining and Applications.
Huan Gao, Xianda Zheng, Weizhuo Li, Guilin Qi and Meng Wang. Cosine-Based Embedding for Completing Schematic Knowledge. CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019).
Ruijie Wang, Meng Wang*, Jun Liu, Michael Cochez and Stefan Decker. Structured Query Construction via Knowledge Graph Embedding. Knowledge and Information Systems. (*: Corresponding Author)
Sheng Bi, Yanhui Huang, Xiya Cheng, Guilin Qi and Meng Wang. Building Chinese Legal Hybrid Knowledge Network. The 12th International Conference on Knowledge Science, Engineering and Management (KSEM 2019).
Tianxing Wu, Haofen Wang, Cheng Li, Guilin Qi, Xing Niu, Meng Wang, Lin Li and Chaomin Shi. Knowledge Graph Construction from Multiple Online Encyclopedias. World Wide Web Journal.
Mengyue Liu, Jun Liu, Yihe Chen, Meng Wang, Hao Chen, Qinghua Zheng. AHNG: Representation Learning on Attributed Heterogeneous Network. Information Fusion (accepted).
Ruijie Wang, Meng Wang*, Jun Liu and Weitong Chen. Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. 24th International Conference on Database Systems for Advanced Applications (DASFAA 2019). (*: Corresponding Author)
Ming Fan, Xiapu Luo, Jun Liu, Meng Wang, Chunyin Nong, Qinghua Zheng and Ting Liu. Graph Embedding based Familial Analysis of Android Malware using Unsupervised Learning. 41st ACM/IEEE International Conference on Software Engineering (ICSE 2019).
Yongpan Sheng, Meng Wang*, Tianxing Wu, Han Xu. Adaptive Local Learning Regularized Nonnegative Matrix Factorization for Data Clustering. Applied Intelligence (accept).
Meng Wang, Ruijie Wang, Jun Liu, Yihe Chen, Guilin Qi. Towards Empty Answers in SPARQL: Approximating Querying with RDF Embedding. International Semantic Web Conference (ISWC 2018)
. Best Student Paper Candidate.
Meng Wang, Jun Liu, Bifan Wei, Siyu Yao, Hongwei Zeng, Lei Shi. Answering why-not questions on SPARQL queries. Knowledge and Information Systems.
Ruijie Wang, Meng Wang*, Jun Liu, Siyu Yao, Qinghua Zheng. Graph Embedding based Query Construction over Knowledge Graphs. The IEEE International Conference on Big Knowledge (ICBK 2018). Best Paper Award!
Huapeng Xu, Guilin Qi, Jingjing Li, Meng Wang, Kang Xu, Huan Gao. Fine-grained Image Classification by Visual-Semantic Embedding. International Joint Conferences on Artificial Intelligence (IJCAI 2018).
Meng Wang, Weitong Chen, Sen Wang, Jun Liu, Xue Li, Bela Stantic. Answering why-not questions on semantic multimedia queries. Multimedia Tools and Applications.
Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang, Xue Li, Wenqiang Liu. Pdd graph: Bridging electronic medical records and biomedical knowledge graphs via entity linking. International Semantic Web Conference (ISWC 2017).
Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen. People opinion topic model: opinion based user clustering in social networks. The 26th International Conference on World Wide Web Companion (WWW 2017).
Wenqiang Liu, Jun Liu, Meng Wang, Qinghua Zheng. Faceted fusion of RDF data. Information Fusion.
Siyu Yao, Jun Liu, Meng Wang, Bifan Wei, Xuelu Chen. ANNA: Answering Why-Not Questions for SPARQL International Semantic Web Conference (ISWC 2015).
Meng Wang, Jun Liu, Wenqiang Liu, Siyu Yao. Faceted Exploring for Domain Knowledge over Linked Open Data. ACM International Conference on Conference on Information and Knowledge Management (CIKM 2014).
RDF Approximating Querying with RDF Embedding, Chinese Inventive Patent (201810641543.X)
RDF Keyword Querying based on Entity Communities, Chinese Inventive Patent (201410389984.7)
I particularly enjoy healthy collaborations with my students. So, I consider supervision very seriously. For highly motivated students, please email me with your CV.
Xinyu Ma, Yu Yang (Master students since 2020, Co-supervise with Prof. Guilin Qi)
Kefei Chen, Huanyun Hu (Master students since 2020, Co-supervise with A.Prof. Darong Lai)
Yinghui Shi, Yan Wang (SEU Wuxi Master students since 2020)
Xu Qin (Master student since 2019)
Chaoyu Bai, Qiushuo Zheng (Master students since 2019, Co-supervise with Prof. Guilin Qi)
Weitao Wang (Masters student since 2019, Co-supervise with Prof. Yang Chen)