个人简介
王萌Assistant Professor, SEU Zhishan Young Scholar
Please visit My homepage (请访问我的个人主页)
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 an SEU Zhishan Young Scholar (东南大学至善青年学者，awarded in 2019). I obtained the doctoral degree from the Department of Computer Science and Technology, Xi’an Jiaotong University in 2018. I was a visiting scholar, working with Prof. Xue Li and Prof. Xiaofang Zhou, in the DKE lab at the University of Queensland, Australia in 2016.
I have published 30+ papers in top international conferences including ISWC, AAAI, WWW, CIKM, IJCAI, ICSE.... 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 take supervision very seriously and enjoy healthy collaborations with my students. For highly motivated students（面向计算机、人工智能、软件、网络安全均可）, please email me with your CV.
Knowledge Graph & AI Research Group,
School of Computer Science and Engineering,
Southeast University, Nanjing, China,
Assistant Professor, SEU Zhishan Young Scholar
Github: wangmengsd
Learn more about my research in Webcast: Bilibili (我的直播间)
Tenure countdown: 209 weeks 4 days 13 hours 11 minutes 40 seconds
Education and Experience | Publications | Awards | Academic Services | Joining Our Lab (实验室招生) | Resource (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 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.
News
[Aug. 2020] We have one paper accepted at the ISWC 2020 !
[Jul. 2020] We have one paper accepted at the MM 2020 !
[Jul. 2020] We have one paper accepted at the CIKM 2020 !
[Feb. 2020] We have one paper accepted at the IJCAI 2020 !
[Jan. 2020] We have one paper accepted at the ECAI 2020 !
[Nov. 2019] We have one paper accepted at the AAAI 2020 !
[Aug. 2019] I was invited to do a report at CCKS 2019 (ppt).
[Nov. 2018] Our IEEE International Conference on Big Knowledge 2018 paper got the best paper award !
[Oct. 2018] Our International Semantic Web Conference (ISWC) 2018 paper got the best student paper candidate !
Education and Experience
Jan. 2019 - present. Zhishan Young Scholar (东南大学至善青年学者), Southeast University, Nanjing, China.
Oct. 2018 - present. Assistant professor, in School of Computer Science and Engineering, Southeast University, Nanjing, China. Working with: Prof. Guilin Qi
Sep. 2013 - Sep 2018. Ph.D., in Dept. of Computer Science and Technology, Xi’an Jiaotong University, Xi'an, China. Supervisor: Prof. Jun Liu
Oct. 2017 - Mar. 2018. Researcher, in Healthcare Big Data Lab, Tencent, Shenzhen, China. Supervisor: Dr. Zhigang Chen
Mar. 2016 - Mar. 2017. Visiting Scholar, in DKE lab, University of Queensland, Brisbane, Australia. Supervisor: Prof. Xue Li & Prof. Xiaofang Zhou
Sep. 2012 - Jul. 2013. M.S., in Dept. of Computer Science and Technology, Xi’an Jiaotong University, Xi'an, China. Supervisor: Prof. Jun Liu
Sep. 2008 - Jul. 2012. B.S., in School of Computer Science, Sichuan University, Chengdu, China.
Sep. 2005 - Jul. 2008. Kangjie High School, Yuncheng, Shanxi, China.
Patents
RDF Approximating Querying with RDF Embedding, Chinese Inventive Patent (201810641543.X)
RDF Keyword Querying based on Entity Communities, Chinese Inventive Patent (201410389984.7)
Awards
Nov. 2018. Best Paper Award, ICBK 2018
Nov. 2018. Best Student Paper Candidate, ISWC 2018
Jul. 2018. Excellent Graduate, Xi'an China
Jun. 2015, 15/121, Excellent Student of Xi’an Jiaotong University, Xian, China
Dec. 2013, 1/135, Guorui Scholarship, Xian, China
Sep. 2012, 3/435, Excellent Graduate of Sichuan University, Chengdu, China
Sep. 2011, 5/435, Excellent Student of Sichuan University, Chengdu, China
Sep. 2010, 6/435, Excellent Student of Sichuan University, Chengdu, China
2009~2012. First Class Scholarship, Sichuan University, Chengdu, China
Academic Services
ICBK 2017 Workshop chair. JIST 2019 Publicity Chair.
PC member: IJCAI 2020, ISWC 2020, ECAI 2020, APWeb-WAIM 2020, ICONIP 2020, CCKS 2020, ICKG 2020, ADMA 2018 2019, JIST 2019 2020.
Invited talks: 2019 CCKS; 2018 Australia-China Innovation Forum on Advanced Technology; The 1st Chinese Artificial Intelligence Competition Training Camp
Journal Reviewer: TKDE, TNNLS, Semantic Web Journal, Information Fusion, Neurocomputing, TALLIP, 《中国科学:信息科学》, 《计算机研究与发展》.
Joining Our Lab (实验室招生)
I particularly enjoy healthy collaborations with my students. So, I consider supervision very seriously. For highly motivated students, please email me with your CV.
Ongoing:
Xinyu Ma, Kefei Chen, Yu Yang (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)
Resource (ppt)
Data Structure (Autumn 2020, AI class)
Multi-modal Knowledge Graph invited report
CCKS 2019 invited report
遇见AI
研究领域
主要研究方向为人工智能、知识图谱、自然语言处理、社交网络、大数据、信息检索、多模态数据等。Semantic Search, QA, Knowledge Graph, NLP, Cross-Modal Data, and AI
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
Journal and Conference Papers
2020
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)
2019
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).
2018
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).
2017
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).
2013~2016
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).
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