WANG Haofen

Distinguished Research Fellow

Brief Introduction

• Haofen Wang, Ph.D. in Computer Science from Shanghai Jiao Tong University. He was awarded with the title of Excellent Ph.D. in Shanghai and selected as Distinguished Researcher Fellow of the Hundred Talents Program of Tongji University. His research interests and expertise focus on Knowledge Graph(KG), Artificial Intelligence(AI), Natural Language Processing(NLP), conversational user interaction(CUI), and intelligent content creation.

• He is one of the founders of OpenKG, the world's largest Chinese open knowledge graph alliance. He published "Practice for Natural Language Processing", "Method, Practice and Application for Knowledge Graph" and other books. He has also been invited as a speaker at many international and domestic intelligence summits, including the World Artificial Intelligence Conference(WAIC). He has served as the chairman of the Knowledge Graph direction at NLPCC, the top domestic conference on natural language processing for many times, and has long been a member of the program committees of top international conferences on Artificial Intelligence such as ISWC, WWW, and AAAI. He participates and takes responsible for more than 10 projects of National Natural Science Foundation of China, 863 Major projects, and AI-related projects supported by Science and Technology Support of Ministry of Science and Technology, Economic and Information Commission and Science and Technology Commission, and published more than 100 high-level papers in the AI field. He has also been a CTO in the first-line Artificial Intelligence companies for a long time, awarded the Discipline Leader Talent Program in Xuhui District.

• He has built the world's first interactive virtual idol - "Hupo·Xuyan". The smart chatbot for customer service he built has served more than 1 billion users, and was successfully selected as the best AI application case by China Artificial Intelligence Industry Alliance.

Research

Artificial Intelligence (AI), Knowledge Graph (KG), Natural Language Processing (NLP), Conversational User Interface (CUI), Intelligent Content Creation

Teaching

Undergraduate: "Innovation and Communication"

Graduate: "Chinese Cultural Experience and Design", "I&E TALKS"

Academic and social Post

Member of Council of China Computer Federation (CCF) (2018 – present)

Chairperson of Terminology Work Commission of CCF (2018 – present)

Chair of SIGKG of Technical Frontier (TF) of CCF (2018 – present)

Vice Secretary-general of Technical Committee on Language and Knowledge Computing, Chinese Information Processing Society of China (CIPS) (2017 – present)

Vice Chairperson of Youth Work Commission of Shanghai Computer Federation (2019 – present)

Secretary-general of Shanghai Jiao Tong University Alumni Association (AI Chapters)

Program Committee (Selected)

l International Conference on World Wide Web (WWW 2011 – 2021)

l AAAI Conference of Artificial Intelligence (AAAI 2013, 2016, 2018)

l International Semantic Web Conference (ISWC 2009 – 2021)

l CCKS 2021program chair

Reviewers (Selected)

l The VLDB Journal (VLDBJ)

l Journal of Web Semantics (JWS)

l IEEE Transactions on Knowledge and Data Engineering (TKDE)

Education Background

2007.9 – 2013.12 PhD, Department of CSE, Shanghai Jiao Tong University (SJTU)

2005.9 – 2007.6 Master, Department of CSE, Shanghai Jiao Tong University (SJTU)

2001.9 – 2005.6 Bachelor, Department of CSE, Shanghai Jiao Tong University (SJTU)

2003.9 – 2006.6 2nd Bachelor Degree, Department of Mathematics and Applied Mathematics, SJTU

Work Experience

2019.9- Till now, college of Design and Innovation, Tongji University, Distinguished Research Fellow

2018.7 –2019.8 present Shanghai Leyan Technologies Co. Ltd., Chief Technology Officer (CTO)

2017.2 – 2018.6 Shenzhen Gowild Technologies Co. Ltd., CTO

2014.1 – 2017.1 East China University of Science and Technology (ECUST), Assistant Professor

Publications 

Books and Chapters

[1] Gong, F. ,  Wang, M. ,  Wang, H. ,  Wang, S. , &  Liu, M. . (2021). Smr: medical knowledge graph embedding for safe medicine recommendation. Big Data Research, 23, 100174.

[2] Wang M, Wang H, Qi G, Zheng Q. Richpedia: A Large-Scale, Comprehensive MultiModal Knowledge Graph [J]. Big Data Research, 2020, 22(100159.

[3] Wang, H., Qi, G. & Chen, H., Methods, Practices, and Applications of Knowledge Graph. Publishing House of Electronics Industry, 2019 (ISBN: 9787121366710)

[4] Wang, H., Shao, H., et al. Practice of Natural Language Processing: Technologies and Applications of Chatbots. Publishing House of Electronics Industry, 2019 (ISBN: 9787121357152)

[5] Wang, H., Ding, J., & Zhang, W., The 8th Chapter “General and Domain Specific Knowledge Graph” of Knowledge Graph Development Report 2018, Chinese Information Processing Society of China, 2018.98~123

[6] Chen, H., Wang, H., Qi, G., et al. The 4th Chapter “System and Engineering Perspective of Knowledge Graph” of China Computer Science & Technology Development Report 2017-2018, CCF, 2018.158-192

[7] Ruan, T., Wang, H., & Chen, W. Technical Frontier of Big Data. Publishing House of Electronics Industry, 2019 (ISBN: 9787121282713)

Papers (A complete list can be found via https://dblp.uni-trier.de/pers/hd/w/Wang:Haofen)

[1] Gong, F., Chen, Y., Wang, H., & Lu, H. (2019). On building a diabetes centric knowledge base via mining the web. BMC Medical Informatics & Decision Making, 19-S(2), 185-197.

[2] Wu, T., Wang, H., Qi G., Zhu, J., & Ruan, T. (2018). On building and publishing Linked Open Schema from social Web sites. Journal of Web Semantics, 51, 39-50.

[3] Wang Haofen, Wang Meng. "Neural + Symbol": From the perspective of knowledge graph, the development of cognitive ineference[J]. China Computer Society Communication, 2020, 16 (8): 52-56.

[4] WANG H F, DING J, HU F H, et al. Survey on large scale enterprise-level knowledge graph practices[J]. Computer Engineering, 2020, 46(7): 1-13.

[5] WANG Xin, FU Qiang, WANG Lin, XU Dawei, WANG Haofen. Survey on Visualization Query Technology of Knowledge Graph[J]. Computer Engineering, 2020, 46(6): 1-11.

[6] Wang Meng,Wang Haofen,Qi Guilin,Zheng Qiushuo.(2020).Richpedia: A Large-Scale,Comprehensive Multi-Modal Knowledge Graph.Big Data Research:2214-5796(2020)

[7] Tianxing Wu, Haofen Wang, Cheng Li, Guilin Qi, Xing Niu, Meng Wang, Lin Li, Chaomin Shi.Knowledge graph construction from multiple online encyclopedias. World Wide Web 23(5): 2671-2698 (2020)

[8] Xinyue Zhang, Meng Wang, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Guilin Qi, Haofen Wang:Revealing Secrets in SPARQL Session Level. ISWC (1) 2020: 672-690

[9] Gong, F., Chen, Y., Wang, H., & Lu, H. (2019). On building a diabetes centric knowledge base via mining the web. BMC Medical Informatics & Decision Making, 19-S(2), 185-197.

[10]  Wu, T., Wang, H., Qi G., Zhu, J., & Ruan, T. (2018). On building and publishing Linked Open Schema from social Web sites. Journal of Web Semantics, 51, 39-50.

[11] Wang, K., Jin, Y., Wang, H., Peng, H., & Wang, X. (2018). Personalized Time-Aware Tag Recommendation. AAAI Conference of Artificial Intelligence (AAAI), 459-466.

[12] Qiu, N, Wang, H., Shao, H., et al. From Chatbot to Virtual Life: New Opportunity of Artificial Intelligence. Communication of China Association of Artificial Intelligence, 2017, 7(11):32-40.

[13] Wang, H., Fang, Z., Ruan, T. (2016). KCF.js: A javascript Library for Knowledge Cards Fusion. International Conference on World Wide Web (WWW), 267-270.

[14] Wu, T., Qi, G., Wang, H., Xu, K., & Cui, X. (2016). Cross-Lingual Taxonomy Alignment with Bilingual Biterm Topic Model. AAAI Conference of Artificial Intelligence (AAAI), 287-293.

[15] Fang, Z., Wang, H., Gracia, J., Bosque-Gil, J., & Ruan, T. (2016). Zhishi.lemon: On Publishing Zhishi.me as Linguistic Linked Open Data. International Semantic Web Conference (ISWC), 47-55.

[16] Wang, H., Fang, Z., Zhang, L., Pan, J. Z., & Ruan, T. (2015). Effective Online Knowledge Graph Fusion. International Semantic Web Conference (ISWC), 286-302.

[17] Wang, H., Wu, T., Qi, G., & Ruan, T. (2014). On Publishing Chinese Linked Open Schema. International Semantic Web Conference (ISWC), 293-308.

[18] Wang, H., Large Scale Knowledge Graph Technologies, Communication of CCF, 2014, 10(3):64-68.

Honors and Awards

• 2018,Leading academic of Xuhui District, Shanghai

• 2018,Best place of “Youth Innovation and Entrepreneur Competition” by China Association of Artificial Intelligence (CAAI)

• 2016,Excellent PhD Dissertation Award, Shanghai

• 2015,Best Paper Award of Joint International Semantic Technology Conference (JIST)

• 2015,Best place of Knowledge Graph Population Contest by Baidu & XJTU

• 2015,1st Summer Datathon on Linguistic Linked Open Data，Best Datathon Result

• 2014,Best Place of Task “Relation Inference” of Baidu Knowledge Graph Contest

• 2014,Best Place of Task “Entity Similarity Computing” of Baidu Knowledge Graph Contest

Contact

Email：carter.whfcarter@gmail.com