Bo Wang

 

 

Associate Professor

 

Department of Computer Science and Technology

 

                College of Intelligence and Computing

 

Tianjin University, Tianjin, China

 

Email:  bo_wang@tju.edu.cn        2944440@qq.com

 

TEL/WeChat: 13512828426

 

ENTP-A

 

 

 

 

Brief Bio

 

I am currently an associate professor in the College of Intelligence and Computing of the Tianjin University at Tianjin, China. I got my PhD from the Computer Science and Technology Department at Harbin Institute of Technology in China in 2010 under the supervision of Prof. Tiejun Zhao.

 

 

欢迎对我们的研究方向感兴趣的同学加入我们的灵媒研究小组(LMc, Language and Mind computing),一起用智能技术探寻语言和心灵的奥秘!

天津电视台访谈(LMc团队概况介绍) 视频播放网站 - 电影天堂

 

Research Interests

 

-      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.

 

-      Personalized recommendation: Research and application of multi-type personalized recommendation for information, people and objects

 

-      Natural Language Processing: Automatic analysis of semantics, sentiment and opinions in social context.

 

-          智能体、人机对话与心理计算(基于大模型的Agent技术,人机对话基础技术(目标导向对话、情感对话、个性化对话等),智能体与人机对话在心理分析与干预、个性化推荐和智能客服等领域的应用;基于计算方法的个人、群体及人造智能体的性格与心理分析与干预)

-          个性化推荐(面向信息、人物和对象的多类型个性化推荐技术研究与应用)

-          自然语言处理(社会场景下的语义与观点自动化分析,基于语言的心理及社会关系自动化分析)

 

Research Experience

 

      Tianjin University, Tianjin  (April, 2010 - now)  天津大学,天津

      The University of Washington, USA  (November, 2017 - November, 2018)   华盛顿大学,心理学系,美国

      The University of Padua, Italy  (April-May, 2014)   帕多瓦大学,意大利

      The Open University, UK (March-June, 2013)   开放大学,英国

      The Robert Gordon University, UK  (June-August, 2011)  罗伯特戈登大学,英国

      NLC group of Microsoft Research Asia, Intern,  Beijing  (Jan, 2007-April, 2008)  微软亚洲研究院,北京

 

Directing Projects

      2024-2027 融合语言和认知图谱的心理内隐态度自动化分析与智能对话应用国家自然科学基金面上项目

      2022-2025 面向法制调研的立法规划、计划的意见特征智能识别技术国家重点研发计划(子课题)

      2023-2023 结合大语言模型的智能应答关键技术研发中国移动通信集团天津有限公司, 企业合作

      2022-2023 面向多模态情感计算的关键AI算法中国移动通信集团天津有限公司, 企业合作

      2022-2023 智能家电语音交互测试方法研究及系列标准研制中国标准化协会, 企业合作

      2018-2021 重点人员监控和特殊人群监测预警国家科技重大专项(子课题)

      2020-2021 社交媒体中敏感热点内容的传播动力学研究, 人民网(子课题), 企业合作

      2021 面向用户服务的核心算法,中国移动通信集团天津有限公司,企业合作

      2021 面向青少年心理健康的智能对话系统,小米、智源研究院、起硕(天津)智能科技,企业合作

      2021 基于社交媒体的内隐态度自动化分析四方天箭,企业合作

      2019-2021  智能客服系统核心算法,国家电网(天津),企业合作

      2019-2021  智能客服投诉分析,中国电信(上海),企业合作

      2018-2020  基于互动语言的在线社会关系语义化动态画像研究国家自然科学基金联合培育项目

      2014-2016  结合人物模型的社会媒体话题传播与影响力分析及预测天津市自然科学基金

      2012-2014  自然语言处理系统的自动化白箱分析评价方法,国家自然科学基金

      2012  面向S2SBing字典和Bing翻译系统的网络众包翻译资源挖掘,微软高校合作项目

 

Talks and Lessons

2023 人机共生-大模型智能体的概念、应用和社会影响 (天津大学广州校友会年会报告) 视频播放网站 - 电影天堂

2023 泛心智研究-大语言模型的心理分析 (第三届中国情感计算大会讲习班报告) 视频播放网站 - 电影天堂

2022社会心理分析的计算方法-表示学习角度 (第七届全国大数据与社会计算学术会议前沿讲习班) 视频播放网站 - 电影天堂

自然语言处理绪论  [第一部分] [第二部分]

计算社会学导论  [绪论] [社会大数据] [社会网络的结构] [博弈] [信息传播]

如何做科研 视频播放网站 - 电影天堂

 

Publications

2024

Ÿ  Bo Wang, Runxin Zhang, Baixiang Xue, Yachao Zhao, Li Yang, Hongxiang Liang. Automatically Distinguishing People’s Explicit and Implicit Attitude Bias by Bridging Psychological Measurements with Sentiment Analysis on Large Corpora. Applied Sciences. 2024

Ÿ  Yan Wang, Bo Wang, Yachao Zhao, Dongming Zhao, Xiaojia Jin, Jijun Zhang, Ruifang He, Yuexian Hou, Emotion Recognition in Conversation via Dynamic Personality. In Proc. LERC-COLING 2024 (CCF-B)

Ÿ  Yachao Zhao, Bo Wang, Yan Wang, Dongming Zhao, Xiaojia Jin, Jijun Zhang, Ruifang He, Yuexian Hou, A Comparative Study of Explicit and Implicit Social Biases in Large Language Models via Self-evaluation. In Proc. LERC-COLING 2024 (CCF-B)

Ÿ  Lei Zeng, Ruifang He, Haowen Sun, Jing Xu, Chang Liu, Bo Wang. Global and Local Hierarchical Prompt Tuning Framework for Multi-level Implicit Discourse Relation Recognition. In Proc. LERC-COLING 2024 (CCF-B).

Ÿ  Chenhao Wu, Ruifang He, Chang Liu, Bo Wang. Continuous Relational Diffusion driven Topic Model with Multi-grained Text for Microblog. In Proc. LERC-COLING 2024 (CCF-B).

Ÿ  Qingyan Zhao, Ruifang He, Jinpeng Zhang, Chang Liu, Bo Wang. Representation Degeneration Problem in Prompt-based Models for Natural Language Understanding. In Proc. LREC-COLING 2024 (CCF-B).

Ÿ  Zongfeng Qu, Zhitong Yang, Bo Wang, Qinghua Hu, TodBR: Target-Oriented Dialog with Bidirectional Reasoning on Knowledge Graph. Applied Sciences. 2024, 14(1), 459

Ÿ  Tanglong Zhao, Ruifang He, Jing Xu, Bo Wang, MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships. In Proc. AAAI 2024 (CCF-A)

Ÿ  赵东明, 田雷, 王博, 张继军, 张亚洲, 多模异态语义级情感认知技术研究与应用. 通讯世界, 2024

2023

Ÿ  Yi Zhang, Dongming Zhao, Bo Wang, Kun Huang, Ruifang He, Yuexian Hou, User Multi-Preferences Fusion for Conversational Recommender Systems, In Proc. ICONIP 2023 (CCF-C)

Ÿ  Ying Zhu, Bo Wang, Dongming Zhao, Kun Huang, Zhuoxuan Jiang, Ruifang He, Yuexian Hou, Grafting Fine-tuning and Reinforcement Learning for Empathetic Emotion Elicitation in Dialog Generation, In Proc. ECAI 2023 (CCF-B)

Ÿ  Hui Chen, Bo Wang, Ke Yang, Yi Song, ECCRG: A Emotion- and Content-controllable Response Generation Model, In Proc. CollaborateCom 2023 (CCF-C)

Ÿ  Yazhou Zhang, Yang Yu, Dongming Zhao, Zuhe Li, Bo Wang, Yuexian Hou, Prayag Tiwari, Jing Qin, Learning Multi-Task Commonness and Uniqueness for Multi-Modal Sarcasm Detection and Sentiment Analysis in Conversation, IEEE Transactions on Artificial Intelligence. 2023

Ÿ  Yazhou Zhang, Ao Jia, Bo Wang, Peng Zhang, Dongming Zhao, Pu Li, Yuexian Hou, Xiaojia Jin, Dawei Song, Jing Qin, M3GAT: A Multi-Modal Multi-Task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition. ACM Transactions on Information Systems. 2023

Ÿ  Yue Tan, Bo Wang, Anqi Liu, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou, Guiding Dialogue Agents to Complex Semantic Targets by Dynamically Completing Knowledge Graph. In Proc. ACL 2023 (CCF-A)

Ÿ  Anqi Liu, Bo Wang, Yue Tan, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou, MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path. In Proc. ACL 2023 (CCF-A)

Ÿ  Yihong Tang, Bo Wang, Miao Fang, Dongming Zhao, Kun Huang, Ruifang He,  Yuexian Hou, Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona. In Proc. ACL 2023 (CCF-A)

Ÿ  Jinfeng Zhou, Chujie Zheng, Bo Wang, Zheng Zhang, Minlie Huang, CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation. In Proc. ACL 2023 (CCF-A)

Ÿ  Jinfeng Zhou, Zhuang Chen, Bo Wang, Minlie Huang, Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach. In Proc. ACL 2023 (CCF-A)

Ÿ  包寒吴, 王梓西, 程曦, 苏展, 杨盈, 张光耀, 王博, 蔡华俭, 基于词嵌入技术的心理学研究:方法及应用. 心理科学进展

Ÿ  Yushan Qian, Bo Wang, Ting-En Lin, Yinhe Zheng, Ying Zhu, Dongming Zhao, Yuexian Hou, Yuchuan Wu, Yongbin Li, Empathetic Response Generation via Emotion Cause Transition Graph. In Proc. ICASSP 2023 (CCF-B)

Ÿ  Yushan Qian, Bo Wang, Shangzhao Ma, Wu Bin, Shuo Zhang, Dongming Zhao, Kun Huang, Yuexian Hou, Think Twice: A Human-like Two-stage Framework for Controllable Generation of Emotional Dialogue. In Proc. AAMAS 2023 (CCF-B)

Ÿ  Hui Chen, Bo Wang, Ke Yang, Liwen Xie, Persuasive-oriented Explanation Generation and Evaluation of Personalized Recommendation. In Proc. ICBDC 2023

Ÿ   Hui Chen, Bo Wang, Ke Yang, Yi Song, HMCAT: Hierachical Multi-task and Commonsense-Aware Transformer for Emotion Recognition in Conversation. In Proc. ICBDC 2023

Ÿ  Zhou Xin, Bo Wang, Analysis of Social Interrelationship with Multi-Source Interactive Information. In Proc. ICBDC 2023

Ÿ   Zheng Fang, Bo Wang, Keyword-driven Conversational Question Generation in Human-like Dialog Agent. In Proc. ICBDC 2023

Ÿ  , 胡涵清, 赵东明, 王博, 基于深度学习的电信运营商网络投诉工单智能分类技术研究. 电信工程技术与标准化, 2023

Ÿ  赵东明, 张继军, 王博, 张亚洲, 刘静, 石理, 基于SpanBERT模型的服务语音负面情绪识别方法研究. 新一代信息技术, 2023

2022

Ÿ  Jinfeng Zhou, Bo Wang, Minlie Huang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou, Aligning Recommendation and Conversation via Dual Imitation. In Proc. EMNLP 2022 Oral (CCF-B)

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, , 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. 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  Baixiang 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     , 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 233262. 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

2006

Ÿ   王博,迟忠先,岳训. 一种面向GIS系统的双层聚类方法. 计算机工程 Vol32.No.7


 

Authorized patents

     基于多重邻居节点的多重语义影响的网络链接预测方法 2019109857520

     利用言论信息自动化测量群体外显态度和内隐态度的方法 2019109865122

     一种融合全局和局部社会兴趣影响的社会推荐方法 2020114661344

     一种基于词向量和Bert的群体内隐立场分析方法 2020114511012

     基于自监督和聚类技术从文本中抽取实体间关系的方法 2020114661096

    一种基于多元化关系画像技术的在线社会关系搜索方法 2020101536609

    基于语义化直观/非直观用户性格表示的用户关系画像方法 2019109809989

     基于人际间会话信息的人际关系定量及定性自动化画像方法 2016110787313

     一种基于可读性指标的信息检索模式 201510976829X

 

Teaching

      Discrete Mathematics  离散数学 (天津大学,本科)

      Natural Language Processing  自然语言处理 (天津大学-南开大学-微软亚洲研究院 联合研究生课程)

           The Introduction of Social Computing 计算社会学导论 (天津大学、中国科学院大学,研究生公选课)

           Computational Psychology and Behavior 心理与行为计算 (天津大学,本科)

           Machine Learning  机器学习 (天津大学-国际工程师学院,研究生)

 

Reward

      2024 中国电子学会硕士学位论文指导教师

     2022 EMNLP-2022任务型对话评测全球第三名

     2020年中国中文信息学会第二届SMP机器人群聊比赛第二名

     2020CCF大数据与计算智能大赛多技能对话赛道三等奖

     2020《社会计算》课程,天津大学优秀在线课程

     2016年天津大学青年教师讲课大赛一等奖

     2016年天津市青年教师基本功大赛选拔赛二等奖

     2016年天津市青年教师基本功大赛三等奖

     2016年卓越联盟高校青年教师教学能力大赛三等奖

     2014年天津市青年教师基本功大赛三等奖

     2012年天津大学青年教师讲课大赛二等奖