魏笔凡(Bifan Wei),工学博士,西安交通大学继续教育学院研究员,硕士生导师。隶属于陕西省大数据知识工程重点实验室、西安交通大学跨媒体知识融合与工程应用研究所、大数据算法与分析技术国家工程实验室。
主持2项国家自然科学基金面上项目、2项国家重点研发计划子课题、2项国家自然科学基金重点课题等国家级课题。在ACL、EMNLP、WWW、ISWC、DASFAA、IEEE TKDE、IEEE TIP、IEEE TNNLS、IEEE CSVT、Neural Computation、Information Sciences等国际会议与期刊上发表论文40多篇,出版学术专著1部,授权发明专利10余项(含国际专利1项)。获陕西省自然科学一等奖、陕西省技术发明一等奖、中国自动化学会科技进步特等奖。
Bifan Wei received the Ph.D. degree in computer science from Xi'an Jiaotong University, China. He is currently a Researcher Fellow at the School of Continuing Education, Xi'an Jiaotong University. He is a member of the Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, the Institute of Cross-Media Knowledge Fusion and Engineering Application, and the National Engineering Laboratory for Big Data Algorithms and Analysis Technologies.
He has led 2 general projects of the National Natural Science Foundation of China (NSFC), 2 sub-projects of the National Key R&D Program, and 2 key projects of NSFC. He has published 40+ papers in leading venues including ACL, EMNLP, WWW, ISWC, DASFAA, IEEE TKDE, IEEE TIP, IEEE TNNLS, IEEE CSVT, Neural Computation, Information Sciences, etc. He holds 10+ granted invention patents and has authored 1 academic monograph. He received the First Prize of Shaanxi Natural Science Award, the First Prize of Shaanxi Technological Invention Award, and the Special Prize of CAA Science and Technology Progress Award.
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学术论文Publications
40+ 篇论文 · 含 PDF / BibTeX 链接 40+ papers · PDF & BibTeX available 全部 BibTeXAll BibTeX
- Tingting Bao, Bifan Wei, Bo Li, Lingling Zhang, Hong Peng, Xiaoqing Zhang, Jun Liu. Spiking Neural P Systems Incorporating Winner-Take-All Mechanism. Information and Computation, pp.105472, 2026. CCF A [PDF] [BibTeX]
- Yaxian Wang, Bifan Wei, Yiming Ma, Xin Jiang, Hengyang Ding, Zhongmin Cai, Jun Liu. Reasoning Step by Step via a Neural-Symbolic Geometry Problem Solver. Pattern Recognition, Vol.171, pp.112261, 2026. CCF B [PDF] [BibTeX]
- Yaxian Wang, Bifan Wei, Yiming Ma, Lingling Zhang, Xin Jiang, Hengyang Ding, Jun Liu. GeoTree: A Dynamic Tree-based Geometry Problem Solver through LLM-Symbolic Reasoning. IEEE Transactions on Multimedia, 2026. CCF B [PDF] [BibTeX]
- Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Siyu He, Jiale Li, Qika Lin. GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering. SIGIR, 2025. CCF A [PDF] [BibTeX]
- Weiping Fu, Bifan Wei, Jianxiang Hu, Zhongmin Cai, Jun Liu. QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation. EMNLP, 2024. CCF B [PDF] [arXiv] [BibTeX]
- Hongwei Zeng, Bifan Wei, Jun Liu. RTRL: Relation-aware Transformer with Reinforcement Learning for Deep Question Generation. Knowledge-Based Systems, Vol.300, pp.112120, 2024. CCF C [PDF] [BibTeX]
- Hongwei Zeng, Bifan Wei, Jun Liu, Weiping Fu. Synthesize, Prompt and Transfer: Zero-shot Conversational Question Generation with Pre-trained Language Model. ACL (Long Papers), 2023. CCF A [PDF] [BibTeX]
- Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Jiaxin Wang, Qianying Wang. DisAVR: Disentangled Adaptive Visual Reasoning Network for Diagram Question Answering. IEEE Transactions on Image Processing, Vol.32, pp.3846–3857, 2023. CCF A [PDF] [BibTeX]
- Yaxian Wang, Bifan Wei, Jun Liu, Qika Lin, Lingling Zhang, Yaqiang Wu. Spatial-Semantic Collaborative Graph Network for Textbook Question Answering. IEEE Transactions on Circuits and Systems for Video Technology, Vol.33(7), pp.3214–3228, 2023. CCF B [PDF] [BibTeX]
- Bei Wu, Bifan Wei, Jun Liu, et al. Faceted Text Segmentation via Multi-Task Learning. IEEE Transactions on Neural Networks and Learning Systems, Vol.32(9), pp.3846–3857, 2021. JCR Q1 [PDF] [BibTeX]
- Bei Wu, Bifan Wei, Jun Liu, et al. Facet Annotation by Extending CNN with a Matching Strategy. Neural Computation, Vol.30(6), pp.1647–1672, 2018. CCF B [PDF] [BibTeX]
完整列表:Full list: Google Scholar · DBLP
科研项目Research Projects
科研项目 Funded Projects
- 国家自然科学基金面上项目,物态图驱动的多模态物理题求解方法研究,2026.01~2029.12,62577043,主持。NSFC General Project, Physical State Graph-driven Multimodal Physics Problem Solving, 2026.01~2029.12, PI.
- 国家自然科学基金重点项目的课题,面向智慧教育的多模态模型构建方法,2025.01~2029.12,62437002,主持。NSFC Key Project Sub-topic, Multimodal Model Construction for Smart Education, 2025.01~2029.12, PI.
- 国家重点研发计划子课题,面向智能协同的可解释教学方案自动生成系统,2023.01~2025.12,主持。National Key R&D Sub-project, Explainable Teaching Plan Generation, 2023.01~2025.12, PI.
- 国家自然科学基金面上项目,在线学习中深度测验题生成方法研究,2022.01~2025.12,62176209,主持。NSFC General Project, Deep Question Generation for Online Learning, 2022.01~2025.12, PI.
- 国家自然科学基金重点项目的课题,多空间融合下的大学生个性化学习与智能教育服务,2020.01~2024.12,61937001,主持。NSFC Key Project Sub-topic, Personalized Learning & Smart Education, 2020.01~2024.12, PI.
- 国家重点研发计划子课题,多源数字教育资源集成模型与聚合技术,2017.12~2020.11,主持。National Key R&D Sub-project, Multi-source Educational Resource Integration, 2017.12~2020.11, PI.
- 国家自然科学基金面上项目,多源RDF数据冲突消解方法研究,2017.01~2020.12,61672418,主持。NSFC General Project, RDF Data Conflict Resolution, 2017.01~2020.12, PI.
横向课题Industry Projects
- 人民网,政务领域多模态知识图谱构建,2024.07~2026.06,主持。People's Daily Online, Multimodal KG for Government Affairs, 2024.07~2026.06, PI.
- 税友公司,税务领域状态事件知识图谱建模与验证,2020.01~2020.12,主持。Shuiyou Inc., Tax Event Knowledge Graph, 2020.01~2020.12, PI.
- 百度公司,海量RDF数据的冲突消解方法研究,2017.01~2017.12,主持。Baidu Inc., RDF Data Conflict Resolution, 2017.01~2017.12, PI.
教改项目Educational Reform Projects
- 陕西高等教育教学改革项目,跨平台学习支持系统构建,2021.10~2023.09,主持。Shaanxi Higher Education Reform, Cross-platform Learning System, 2021.10~2023.09, PI.
- 陕西高等教育教学改革项目,海量课程资源云存储及资源库建设,2017.10~2019.09,主持。Shaanxi Higher Education Reform, Cloud Storage for Course Resources, 2017.10~2019.09, PI.
荣誉奖励Honors & Awards
- 2025,人工智能学会吴文俊科技进步二等奖,神经-符号协同的抽象图文推理技术及应用。Wu Wenjun AI Science & Technology Progress Award (2nd Prize).
- 2022,陕西省自然科学一等奖,大数据知识工程理论、方法及重大应用。🥇 Shaanxi Natural Science Award (1st Prize) — Big Data Knowledge Engineering.
- 2020,中国自动化学会科学技术进步特等奖,知识森林个性化智能导学技术及其重大应用。🥇 CAA Science and Technology Progress Award (Special Prize) — Knowledge Forest Intelligent Tutoring.
- 2018,陕西省技术发明一等奖,场景感知的知识地图导航移动学习关键技术及其应用。🥇 Shaanxi Technological Invention Award (1st Prize) — Context-aware Mobile Learning.
讲授课程Teaching
- 2026年秋2026 Fall,计算机网络,32学时, Computer Networks, 32 hrs
- 2026年春2026 Spring,数据库原理与应用,32学时, Database Systems, 32 hrs
- 2026年秋2026 Fall,数据结构,32学时, Data Structures, 32 hrs
项目演示Project Demos
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