Researcher Fellow

The School of Continuing Education

Xi'an Jiaotong University (XJTU), Xi'an 710049, China

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)