Meng Wang (王萌)

 
School of Computer Science and Engineering,
Southeast University, Nanjing, China,
Assistant Professor, SEU Zhishan Young Scholar

Email: meng.wang [at] seu.edu.cn.
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)
Learn more about my research in Webcast: Bilibili (我的直播间)
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Experience | Publications | Awards | Academic Services | Joining Us (招生) | Resource | Sponsors


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.

News

Education and Experience

Publications

Journal and Conference Papers

    2022

  1. Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, and Zhong Ming. User-Event Graph Embedding Learning for Context-Aware Recommendation. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022).
  2. Haoqing Xu, Meng Wang, and Beilun Wang. A Difference Standardization Method for Mutual Transfer Learning. 39th International Conference on Machine Learning (ICML 2022).
  3. Yu Yang, Jiangxu Lin, Xiaolian Zhang, and Meng Wang*. PKG: A Personal Knowledge Graph for Recommendation. 45th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022).
  4. 王萌, 王昊奋, 李博涵, 赵翔, 王鑫. 新一代知识图谱关键技术综述. 计算机研究与发展: 2022, 59(03). [PDF]
  5. Qiushuo Zheng, Hao Wen, Meng Wang, and Guilin Qi. Visual Entity Linking via Multi-modal Learning. Data Intelligence: 2022, 4(1): 1-19.
  6. Xinyu Ma, Meng Wang, Xing Liu, Yifan Yang, Yefeng Zheng, and Sen Wang. InDISP: An Interpretable Model for Dynamic Illness Severity Prediction. 27th International Conference on Database Systems for Advanced Applications (DASFAA 2022).
  7. Nan Hu, Sheng Bi, Guilin Qi, Meng Wang, Yuncheng Hua, and Shirong Shen. Improving Core Path Reasoning for the Weakly Supervised Knowledge Base Question Answering. 27th International Conference on Database Systems for Advanced Applications (DASFAA 2022).
  8. 2021

  9. Meng Wang, Sen Wang, Han Yang, Zheng Zhang, Xi Chen and Guilin Qi. Is Visual Context Really Helpful for Knowledge Graph? A Representation Learning Perspective. 29th ACM International Conference on Multimedia (MM 2021, Research Oral Paper).
  10. Meng Wang, Kefei Chen, Gang Xiao, Xinyue Zhang, Hongxu Chen and Sen Wang. Explaining Similarity for SPARQL Queries. World Wide Web 2021, 24(5):1813-1835.
  11. Meng Wang, Weitong Chen, Sen Wang, Yinlin Jiang, Lina Yao and Guilin Qi. Efficient Search over Incomplete Knowledge Graphs in Binarized Embedding Space. Future Generation Computer Systems 2021(123): 24-34.
  12. Meng Wang, Xinyu Ma, Jingwen Si, Hongjia Tang, et al. Adverse Drug Reaction Discovery Using a Tumor-Biomarker Knowledge Graph. Frontiers in genetics 2020(11): 1737.
  13. Yuxin Zhang, Bohan Li, Han Gao, Ye Ji, Han Yang, Meng Wang*, and Weitong Chen. Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks.Big Data Research 2021(25): 100218..
  14. Beilun Wang, Jiaqi Zhang, Yan Zhang, Meng Wang, and Sen Wang. Scalable Estimator for Multi-task Gaussian Graphical Models Based in an IoT Network. ACM Transactions on Sensor Networks 2021, 17(3):1-33..
  15. Yongrui Chen, Xinnan Guo, Chaojie Wang, Jian Qiu, Guilin Qi, Meng Wang and Huiying Li. Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021).
  16. 2020

  17. Meng Wang, Haofen Wang, Guilin Qi and Qiushuo Zheng. Richpedia: A Large-Scale, Comprehensive Multi-Modal Knowledge Graph. Big Data Research: 2020 (20):100159.
  18. 王萌, 王靖婷, 江胤霖, 漆桂林. 人机混合的知识图谱主动搜索. 计算机研究与发展: 2020,57(12):2501-2513.
  19. 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)
  20. 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)
  21. 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).
  22. 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).
  23. 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)..
  24. 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).
  25. 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)
  26. 2019

  27. 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).
  28. Xinyu Ma, Yuhao Yang and Meng Wang. BSI: A System for Predicting and Analyzing Accident Risk. 2019 International Conference on Advanced Data Mining and Applications.
  29. 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).
  30. Ruijie Wang, Meng Wang*, Jun Liu, Michael Cochez and Stefan Decker. Structured Query Construction via Knowledge Graph Embedding. Knowledge and Information Systems. (*: Corresponding Author)
  31. 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).
  32. 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.
  33. Mengyue Liu, Jun Liu, Yihe Chen, Meng Wang, Hao Chen and Qinghua Zheng. AHNG: Representation Learning on Attributed Heterogeneous Network. Information Fusion (accepted).
  34. 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)
  35. 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).
  36. 2018

  37. Yongpan Sheng, Meng Wang*, Tianxing Wu and Han Xu. Adaptive Local Learning Regularized Nonnegative Matrix Factorization for Data Clustering. Applied Intelligence (accept).
  38. Meng Wang, Ruijie Wang, Jun Liu, Yihe Chen and Guilin Qi. Towards Empty Answers in SPARQL: Approximating Querying with RDF Embedding. International Semantic Web Conference (ISWC 2018) . Best Student Paper Candidate.
  39. Meng Wang, Jun Liu, Bifan Wei, Siyu Yao, Hongwei Zeng and Lei Shi. Answering why-not questions on SPARQL queries. Knowledge and Information Systems.
  40. Ruijie Wang, Meng Wang*, Jun Liu, Siyu Yao and Qinghua Zheng. Graph Embedding based Query Construction over Knowledge Graphs. The IEEE International Conference on Big Knowledge (ICBK 2018). Best Paper Award!
  41. Huapeng Xu, Guilin Qi, Jingjing Li, Meng Wang, Kang Xu and Huan Gao. Fine-grained Image Classification by Visual-Semantic Embedding. International Joint Conferences on Artificial Intelligence (IJCAI 2018).

    2017

  42. Meng Wang, Weitong Chen, Sen Wang, Jun Liu, Xue Li and Bela Stantic. Answering why-not questions on semantic multimedia queries. Multimedia Tools and Applications.
  43. Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang, Xue Li and Wenqiang Liu. Pdd graph: Bridging electronic medical records and biomedical knowledge graphs via entity linking. International Semantic Web Conference (ISWC 2017).

    2013~2016

  44. Wenqiang Liu, Jun Liu, Meng Wang and Qinghua Zheng. Faceted fusion of RDF data. Information Fusion.
  45. Siyu Yao, Jun Liu, Meng Wang, Bifan Wei and Xuelu Chen. ANNA: Answering Why-Not Questions for SPARQL International Semantic Web Conference (ISWC 2015).
  46. Meng Wang, Jun Liu, Wenqiang Liu and Siyu Yao. Faceted Exploring for Domain Knowledge over Linked Open Data. ACM International Conference on Conference on Information and Knowledge Management (CIKM 2014).

Patents

  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)

Awards

Academic Services

Joining Us (实验室招生)

Resource (ppt)