副教授
主要研究方向
.人工智能、自然语言处理
研究领域
.Multimodal Learning (e.g., Language and Vision Representation Learning, Multimodal Information Extraction and Affective Computing，Embodied Robots)
.Human Language Applications (e.g., Large Language Model, Information Extraction)
.AI for Medical Diagnosis (e.g., Imaging Diagnosis and Pathological Analysis)
代表作
.Junxiao Ma, Jingjing Wang, Jiamin Luo, Peiying Yu, Guodong Zhou. Sherlock: Towards Multi-scene Video Abnormal Event Extraction and Localization via a Global-localSpatial-sensitiveLLM. The Web Conference (WWW), 2025. (CCF A类会议，唯一通讯作者)
.Jiamin Luo, Jingjing Wang, Junxiao Ma, Yujie Jin, Shoushan Li, Guodong Zhou. Omni-SILA: Towards Omni-scene Driven Visual Sentiment Identifying, Locating and Attributing in Videos. The Web Conference (WWW), 2025. (CCF A类会议，唯一通讯作者)
.Jipeng Cen, Jiaxin Liu, Zhixu Li, Jingjing Wang.SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration. The AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A类会议，唯一通讯作者)
.Jianing Zhao, Jingjing Wang, Yujie Jin, Jiamin Luo, Guodong Zhou. Hawkeye: Discovering and Grounding Implicit Anomalous Sentiment in Recon-videosviaScene-enhancedVideoLarge Language Model. Proceedings of ACM International Conference on Multimedia (MM), 2024, 592-601. (CCF A类会议，唯一通讯作者)
.Tan Yu, Jingjing Wang, Jiawen Wang, Jiamin Luo, Guodong Zhou. Towards Emotion-enriched Text-to-Motion Generation via LLM-guided Limb-levelEmotionManipulating. Proceedings of ACM International Conference on Multimedia (MM), 2024, 612-621. (CCF A类会议，唯一通讯作者)
个人简介
王晶晶，男，副教授，微软访问学者，苏州大学自然语言处理（NLP）实验室博士，兼任微软（亚洲）工程院高级技术顾问，主要致力于人工智能（AI）领域中Large Language Model 、Multimodal Learning、AI for Medical Diagnosis等方向的研究。截止目前，已在CCF推荐A类顶级会议和顶级期刊，例如ACL、AAAI、WWW、MM、IJCAI、SCIS等发表AI与NLP相关论文数十篇，并主持与参与国家项目多项，拥有多项授权专利。此外担任AI、NLP领域国际顶级会议ACL、AAAI、WWW、MM、IJCAI等的Area Chair、PC，CCCF期刊编委以及TASLP、TAFFC、SCIS、中国科学、软件学报等国内外重要学术期刊审稿人。目前合作的企业包括：Microsoft、阿里达摩院、蚂蚁金服等，也乐于推荐本组的学生到上述企业交流、实习与工作。人生寄语：“知者行之始，行者知之成”。