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魏笔凡

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所在单位:继续教育学院
学历:博士研究生毕业
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性别:男
联系方式:
学位:博士
职称:研究员
博士生导师:否
硕士生导师:是
学科:计算机科学与技术
科研论文和学术专著

1. 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)

2. 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)

3. 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)

4. 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)

5. Weiping Fu, Bifan Wei, Jianxiang Hu, Zhongmin Cai, Jun Liu. QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation. EMNLP, 2024. (CCF B)

6. 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)

7. 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)

8. 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)

9. 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)

10. 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)

11. 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)

12. Zhaotong Guo, Bifan Wei, Jun Liu, et al. TF-Miner: Topic-Specific Facet Mining by Label Propagation. DASFAA, 2019, pp.457-460. (CCF B)

13. Hong Li, Bifan Wei, Jun Liu, et al. ToFM: Topic-specific Facet Mining by Facet Propagation within Clusters. ICBK, 2021, pp.402-409.

14. Ya Zheng, Bifan Wei, Jun Liu, et al. Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning. ADMA, 2018, pp.655-667.

15. Ma Kexin, Bifan Wei, Jun Liu, et al. 知识主题间先序关系挖掘. 大数据, Vol.6(6), pp.26-39, 2020.

16. Bifan Wei, Jun Liu, Qinghua Zheng, et al. DF-Miner: Domain-specific Facet Mining by Leveraging the Hyperlink Structure of Wikipedia. Knowledge-Based Systems, Vol.77, pp.80-91, 2015. (CCF C)

17. Bifan Wei, Jun Liu, Jian Ma, et al. Motif-based Hyponym Relation Extraction from Wikipedia Hyperlinks. IEEE Transactions on Knowledge and Data Engineering, Vol.26(10), pp.2507-2519, 2014. (CCF A)

其他论文见Google Scholar