Meng Wang (王萌)

Knowledge Graph & AI Research Group,
School of Computer Science and Engineering,
Southeast University, Nanjing, China,
Assistant Professor.

Email: [at]
Github: wangmengsd
Research Interests: Semantic Search, QA, Knowledge Graph, NLP, Cross-Modal Data, and AI
(研究方向: 智能问答、知识图谱、多模态数据、人工智能)

Tenure countdown:

Education and Experience | Publications | Awards | Academic Services | Joining Our Lab (实验室招生) | Resource (教学ppt)

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 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.


Education and Experience


Journal and Conference Papers


  1. 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).
  2. Ruijie Wang, Meng Wang*, Jun Liu, Michael Cochez and Stefan Decker. Structured Query Construction via Knowledge Graph Embedding. Knowledge and Information Systems. (*: Corresponding Author)
  3. 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).
  4. Tongtong Wu, Meng Wang, Huan Gao, Guilin Qi and Weizhuo Li. Zero-Shot Slot Filling via Latent Question Representation and Reading Comprehension. The 16th Pacific Rim International Conference on Artificial Intelligence.
  5. 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.
  6. Mengyue Liu, Jun Liu, Yihe Chen, Meng Wang, Hao Chen, Qinghua Zheng. AHNG: Representation Learning on Attributed Heterogeneous Network. Information Fusion (accepted).
  7. 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)
  8. Bing Liu, Huan Gao, Guilin Qi, Shangfu Duan, Tianxing Wu and Meng Wang. Adversarial Discriminative Denoising for Distant Supervision Relation Extraction. 24th International Conference on Database Systems for Advanced Applications (DASFAA 2019, short paper).
  9. 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).
  10. 2018

  11. Yongpan Sheng, Meng Wang*, Tianxing Wu, Han Xu. Adaptive Local Learning Regularized Nonnegative Matrix Factorization for Data Clustering. Applied Intelligence (accept).
  12. 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.
  13. Meng Wang, Jun Liu, Bifan Wei, Siyu Yao, Hongwei Zeng, Lei Shi. Answering why-not questions on SPARQL queries. Knowledge and Information Systems.
  14. 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!
  15. 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).
  16. Tianxing Wu, Guilin Qi, Cheng Li, Meng Wang. A Survey of Techniques for Constructing Chinese Knowledge Graphs and Their Applications. Sustainability.
  17. Tong Yu, Meng Wang, Yanzhang Lv, Jun Liu. Interpretative Topic Categorization Via Deep Multiple Instance Learning. International Joint Conference on Neural Networks (IJCNN 2018).


  18. Meng Wang, Weitong Chen, Sen Wang, Jun Liu, Xue Li, Bela Stantic. Answering why-not questions on semantic multimedia queries. Multimedia Tools and Applications.
  19. 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).
  20. 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).


  21. Wenqiang Liu, Jun Liu, Meng Wang, Qinghua Zheng. Faceted fusion of RDF data. Information Fusion.
  22. Siyu Yao, Jun Liu, Meng Wang, Bifan Wei, Xuelu Chen. ANNA: Answering Why-Not Questions for SPARQL International Semantic Web Conference (ISWC 2015).
  23. 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).


  1. RDF Approximating Querying with RDF Embedding, Chinese Inventive Patent (201810641543.X)
  2. RDF Keyword Querying based on Entity Communities, Chinese Inventive Patent (201410389984.7)


Academic Services

Resource (教学ppt)

Joining Our Lab (实验室招生)