Bo Wang
Associate Professor
School of Computer Science and Technology
Tianjin University
Building 55, Room 516,
No.135 Yaguan Road, Jinnan District, Tianjin, China
+86 13512828426
Bo_wang@tju.edu.cn
Bo.Wang.1979@gmail.com
http://cs.tju.edu.cn/faculty/wangbo/index.htm
Research Interests
(1) Intelligent dialog system & Computational psychology: Techniques of intelligent dialog system, application of chatbot in the fields of psychological measurement and intervention, personalized recommendation and intelligent customer service; computational and psychological modeling and intervention of individual and group.
(2) Personalized recommendation: Research and application of multi-type personalized recommendation for information, people and objects
(3) Natural Language Processing: Automatic analysis of semantics, sentiment and opinions in social context.
Education
Harbin Institute of Technology Harbin, China
Ph.D., Computer Science and Technology Sep. 2005 - Dec. 2009
– Research topic: Machine Translation & Natural Language Processing
– Advisor: Prof. Tiejun Zhao
Dalian University of Technology Dalian, China
Master’s Degree, Computer Science and Technology Sep. 2002 - Mar. 2005
– Research topic: Space Clustering for Geography Information System
– Advisor: Prof. Zhongxian Chi
Harbin Institute of Technology Harbin, China
Bachelor’s Degree, Computer Science and Technology Sep. 1998 - Aug. 2002
Professional Experience
Tianjin University Tianjin, China
Associate Professor & Lecture April. 2010 – present
University of Padua Padua, Italy
Short-term visiting scholar April-May, 2014
Open University Milton Keynes, UK
Short-term visiting scholar March-June, 2013
Robert Gordon University Aberdeen, UK
Short-term visiting scholar June-August, 2011
Microsoft Research Asia Beijing, China
Full-time Intern at Natural Language Computing group Jan. 2007 – Mar. 2008
Publications
2022
Ÿ Zhitong Yang, Bo Wang, Jinfeng Zhou, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou, TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph. In Proc. COLING 2022 (CCF-B)
Ÿ Jinfeng Zhou, Bo Wang, Zhitong Yang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou, CR-GIS: Improving Conversational Recommendation via Goal-aware Interest Sequence Modeling. In Proc. COLING 2022 Oral (CCF-B)
Ÿ Haocheng Wang, Ruifang He*, Huanyu Liu, Chenhao Wu, Bo Wang. Topic Model on Microblog with Dual-Streams Graph Convolution Networks. In Proceedings of 2022 International Joint Conference on Neural Networks. 2022. (CCF-C).
Ÿ 贺瑞芳, 王浩成, 刘宏宇, 王博*. 基于异构社交上下文多视图微博主题检测方法[J]. 软件学报.
Ÿ Hui Chen, Bo Wang, Ke Yang, The Semi-definite Programming Model for Optimizing Information Propagation Rate on Social Network Based on the Spectral Graph Theory. In Proc. ICBDC 2022
2021
Ÿ Changhao Song, Bo Wang, Qinxue Jiang, Ruifang He, Yuexian Hou. Social Recommendation with Implicit Social Influence, In Proc. SIGIR 2021 (CCF-A)
Ÿ Jinfeng Zhou, Bo Wang, Ruifang He, Yuexian Hou. CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs. In Proc. EMNLP 2021 Oral 9.8% (CCF-B)
Ÿ Jianping Liu, Bo Wang, Ruifang He, Bin Wu, Shuo Zhang, Yuexian Hou, Qinxue Jiang. LoCo-VAE: Modeling Short-term Preference as Joint Effect of Long-term Preference and Context-aware Impact in Recommendation. In Proc. PRICAI 2021 (CCF-C)
Ÿ Bo Wang, Zunfu Huang, Dongming Zhao, Kun Huang, Meixian Song, Qinxue Jiang, Naixue Xiong. IDS: An Intelligent Data Semantics System for Communication Link Prediction in SIoT. In Proc. MSN 2021 (CCF-C)
Ÿ Zunfu Huang, Bo Wang, Hongtao Liu, Qinxue Jiang, Naixue Xiong, Yuexian Hou. Improving Recommender System via Personalized Reconstruction of Reviews. In Proc. CollaborateCom 2021 (CCF-C)
Ÿ Dongxiao He, Youyou Wang, Jinxin Cao, Weiping Ding, Shizhan Chen, Zhiyong Feng, Bo Wang, Di Jin. A Network Embedding Enhanced Bayesian Model for Generalized Community Detection in Complex Networks. Information Sciences (SCI 一区)
Ÿ Yue Zhao, Bo Wang. Improving Automatic Recommendation by Modeling Intrinsic and Extrinsic Motivation with Q-learning. In Proc. ICBDC 2021
Ÿ Geng Lei, Bo Wang, Yuan Wang, Yue Zhao. Semantic Connotation Profile of Online Social Relationship with Interactive Language. In Proc. ICBDC 2021
2020
Ÿ Yazhou Zhang, Dawei Song, Xiang Li, Peng Zhang, Panpan Wang, Lu Rong, Guangliang Yu, Bo Wang. A Quantum-like Multimodal Network Framework for Modeling Interaction Dynamics in Multiparty Conversational Sentiment Analysis, Information Fusion 62(2020) 14-31 (SCI 一区)
Ÿ Hongyu Liu, Ruifang He, Haocheng Wang, Bo Wang. Fusing Parallel Social Contexts within Flexible-Order Proximity for Microblog Topic Detection. CIKM 2020 (CCF-B)
2019
Ÿ Meixian Song, Bo Wang*, Xindian Ma, Qinghua Hu, Xin Wang, Yuexian Hou and Dawei Song. Link Prediction with Attention-based Semantic Influence of Multiple Neighbors. In Proc. ICONIP 2019 (CCF-C)
Ÿ Yaping Wang, Pengfei Jiao, Wenjun Wang, Chunyu Lu, Hongtao Liu and Bo Wang. Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations. In Proc. DASFAA 2019 (CCF-B)
Ÿ Xunxun Wu, Pengfei Jiao, Yaping Wang, Tianpeng Li, Wenjun Wang and Bo Wang. Dynamic stochastic block model with scale-free characteristic for temporal complex networks. In Proc. DASFAA 2019 (CCF-B)
2018
Ÿ Yinghui Wang, Bo Wang, Yuexian Hou, Dawei Song. Automatic Update of Ontology Concept Hierarchy with New Entity Insertion and New Concept Generation Based on Semantic Measurement. In Proc. ICSCA 2018
Ÿ Bai Xiang Xue, Bo Wang, Yanshu Yu, Ruifang He, Yuexian Hou, Dawei Song, Measuring Bidirectional Subjective Strength of Online Social Relationship by Synthetizing the Interactive Language Features and Social Balance. In Proc. CollaborateCom 2018 (CCF-C)
Ÿ 王 渊, 孙樱郡, 王博*, 杨朝洲, 杨量. 在线社会关系语义化度量的可视化分析. 中国科学技术大学学报
2017
Ÿ Bo Wang, Yingjun Sun, Bo Han, Yuexian Hou, Dawei Song. Extending the Balance Theory by Measuring Bidirectional Opinions with Interactive Language. In Proc. WWW 2017, Poster. (CCF-A)
Ÿ Bo Wang, Yingjun Sun, Yuexian Hou, Dawei Song, Ruifang He. Position vs. Attitude: How Topological Factors Influence Our Difference in the Attitudes on Online Interrelationships? A Case Study with Language Use. In Proc. COLLABORATECOM 2017. (CCF-C)
2016
Ÿ Bo Wang, Yanshu Yu, Peng Zhang. Investigation of the Subjective Asymmetry of Social Interrelationship with Interactive Language. In Proc. WWW 2016, p121-122, Poster. (CCF-A)
Ÿ Yinghui Wang, Bo Wang, Xunlun Li. A Case Study of Mining and Correlation Analysis of Public Security Events in Heterogeneous and Unstructured Web Messages. In Proceedings of the 13th Web Information Systems and Applications Conference, In Proc. WISA 2016.
Ÿ Ruifang He, Jiliang Tang, Pinghua Gong, Qinghua Hu, Bo Wang. Multi-Document Summarization via Group Sparse Learning. Information Sciences, Vol349-350, p12-24. 2016 SCI (CCF-B)
2015
Ÿ Dawei Song, Yanjie Shi, Peng Zhang, Qiang Huang, Udo Kruschwitz, Yuexian Hou, Bo Wang. Incorporating Intra-Query Term Dependencies in an Aspect Query Language Model. Computational Intelligence, Vol31, No.4, p699-720. 2015 SCI (CCF-B)
2014
Ÿ Yuexian Hou, Bo Wang, Dawei Song, Xiaochun Cao, Wenjie Li. Quadratic Tsallis Entropy Bias and Generalized Maximum Entropy models. Computational Intelligence, Vol.30, No.2, p 233–262. 2014 SCI (CCF-B)
Ÿ Bo Wang, Ming Zhou, Shujie Liu,Mu Li, Dongdong Zhang. Woodpecker: An Automatic Methodology for Machine Translation Diagnosis with Rich Linguistic Knowledge. Journal of Information Science and Engineering, Vol.30, No.5, p1407-1424, September 2014. SCI.
Ÿ Bo Wang, Yuanyuan Zhang, Qian Xu. Sentence-level Combination of Machine Translation Outputs with Syntactically Hybridized Translations. IEICE Transactions on Information and Systems. Vol.E97-D, No.1.2014, 164-167. SCI
Ÿ Dawei Song, Yanjie Shi, Peng Zhang, Qiang Huang, Udo Kruschwitz, Yuexian Hou, Bo Wang. Incorporating Intra-Query Term Dependencies in an Aspect Query Language Model. Computational Intelligence, Vol.31, No.4 ,2014 SCI (CCF-B)
2013
Ÿ Wang Bo, Hou Yuexian. Measurement of Incompatible Probability in Information Retrieval: A Case Study with User Clicks. Transactions of Tianjin University, v 19, n 1, p 37-42, February 2013. EI
2012
Ÿ Wang Bo, Meng Fanqi,Hou Yuexian. Mining bilingual linguistic patterns with aligned and parsed Bilingual Corpus. Journal of Convergence Information Technology, v 7, n 12, p 62-68, July 2012. EI
2010
Ÿ Bo Wang, Tiejun Zhao, Muyun Yang, Sheng Li. Discover Linguistic Patterns in Parsed Corpus with Frequent Subtree Mining. In Proc. WKDD 2010, Jan 9-10, 2010, Phuket, Thailand EI
2009
Ÿ Bo Wang, Tiejun Zhao, Muyun Yang. A Skip-Ngram Approach of Automatic Evaluation for Machine Translation. In Journal of Computational Information Systems, Vol. 6, pp. 1279-1286, May 2009. EI
Ÿ Bo Wang, Tiejun Zhao, Muyun Yang, Sheng Li. Automatic Syntactic Segment Filtration for Mass Syntax Corpus with Mutual Information. In Proc. FITME 2009, Sanya, China, pp 234-237, Dec 13-14, 2009, EI
Ÿ Bo Wang, Tiejun Zhao, Muyun Yang, Hongfei Jiang and Sheng Li. Stability vs. Effectiveness: Improved Sentence-level Combination of Machine Translation Based on Weighted MBR. In Proc. IALP 2009, Singapore, Dec 7-9, 2009, EI
Ÿ Bo Wang, Tiejun Zhao, Muyun Yang. References Extension for the Automatic Evaluation of MT by Syntactic Hybridization. In Proc. SSST3, NAACL HLT, Boulder, Colorado, June, 2009
2008
Ÿ Ming Zhou, Bo Wang, Shujie Liu, Mu Li, Dongdong Zhang, Tiejun Zhao. Diagnostic Evaluation of Machine Translation Systems Using Automatically Constructed Linguistic Check-Points. In Proc. Coling 2008, Manchester, UK, pp.1121-1128, August 2008. (CCF-B)
Ÿ Bo Wang, Muyun Yang, Sheng Li, Tiejun Zhao. Evaluation of All-words WSD for Chinese in Machine Translation. ACTA AUTOMATICA SINICA, Vol. 34, pp. 535-541, 2008. EI
Projects
2014-2016 The analysis of the propagation and influence of topics in social media with user profiles. The Tianjin Natural Science Foundation.
Leader
2012-2014 The automatic white-box evaluation of the natural language processing system. The National Natural Science Foundation of China.
Leader
2012 Domain adaptation of S2S, Bing Dictionary and Bing Translator with web mined and crowd sourced translation knowledge. MSRA UR Project.
Leader
2015-2017 The key Technologies of Knowledge Understanding and Reasoning in Human like Intelligence. The National High-tech R&D Program of China (“863” Project).
Main Participant
2013-2017 The basic theory and method of language information processing and depth computation in Internet Environment. Chinese National Program on Key Basic Research Project (“973” Project).
Main Participant
Teaching
• Introduction of Social Computing
Tianjin University (Undergraduate students of CS department) 2012-2016
University of Chinese Academy of Sciences (Graduate student of different majors) 2014-2017
The course is mainly based on the book ‘Network Crowds and Markets’ (David Easley & Jon Kleinberg), and is organized as six parts: Introduction of social computing at internet age; Topology of social network; Game theory in social life; Propagation and influence of social information; Social exchange behavior; Group decision in community. Both classic theories and latest research are involved. The main theme of the course is how to understand the society with computational methods, associated with many case studies.
• Graph Theory
Tianjin University (Undergraduate students of CS department)
The theories and algorithms in graph theory. A set of social network problems are used as sample projects e.g., friends finding, small world construction and tuning, location of structure hole.
