王博

职称:助理教授,博士生导师

毕业院校:吉林大学

email:bowang97@jlu.edu.cn

个人主页:

研究方向:可信人工智能、自然语言处理

个人简介

    王博,吉林大学人工智能学院助理教授,博士生导师,2026年博士毕业于吉林大学人工智能学院,师从常毅教授,目前从事可信人工智能、,自然语言处理等研究方向,包括大模型和智能体安全及隐私、检索增强生成、虚假信息检测等。在国际顶级会议及期刊ACL、WWW、EMNLP、TOIS等发表论文十余篇,累计谷歌引用千余次。主持国家自然科学基金青年学生基础研究项目1项

招生信息招收博士研究生、硕士研究生感兴趣的同学请通过邮件联系。


 

 

工作经历

2026.09 - 至今,吉林大学人工智能学院,助理教授/副研究员

 

教育背景

2021.09 – 2026.06,吉林大学人工智能学院,计算机科学与技术,博士

2024.07 2025.07,美国密歇根州立大学,计算机科学与工程系,联合培养博士

2023.04 2024.04,香港浸会大学,计算科学系,联合培养博士

2019.09 2021.06,吉林大学人工智能学院,计算机科学与技术,硕士

2015.09 – 2019.06,吉林大学软件学院软件工程(卓越工程师计划),学士




 

论文

  1. Bo Wang, Jing Ma*, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian*, Yi Chang*. A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM. ACM Transactions on Information Systems (TOIS), 2026, 44(5): 1-36. (CCF-A)

  2. Bo Wang, Weiyi He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang, Pengfei He*. Unveiling Privacy Risks in LLM Agent Memory. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL) 2025: 25241-25260. (CCF-A)

  3. Bo Wang, Jing Ma*, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian*, Yi Chang*. Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom. In Proceedings of the ACM Web Conference 2024 (WWW). 2024:2452-2463. (CCF-A)

  4. Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang*. Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. In Findings of the Association for Computational Linguistics: EMNLP 2021. (EMNLP) 2021: 3002-3012. (CCF-B/清华A)

  5. Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang*, Yi Chang*. Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. In Proceedings of the ACM Web Conference 2021 (WWW). 2021: 1737-1748. (CCF-A)

  6. Hongzhan Lin, Wei Gao, Yang Deng, Ziyang Luo, Bo Wang, Ruichao Yang, Jing Ma*, Tat-Seng Chua. EXPLAINHM++: Explainable Harmful Meme Detection with Retrieval-Augmented Debate between Large Multimodal Models. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF-A)

  7. Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma*, Bo Wang, Ruichao Yang. Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models. WWW 2024. (CCF-A)

  8. Ruichao Yang, Wei Gao, Jing Ma*, Hongzhan Lin, Bo Wang. Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models. ACL (Findings) 2024. (CCF-A)

  9. Hongzhan Lin, Ziyang Luo, Bo Wang, Ruichao Yang, Jing Ma*. Goat-bench: Safety insights to large multimodal models through meme-based social abuse. ACM Transactions on Intelligent Systems and Technology (TIST), 2024.

  10. Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang. Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. ICDM 2020. (CCF-B)

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