DSI-Lab指导本科生科研情况(2020年至今)
来源: 甘文生/
暨南大学
450
4
1
2025-11-06

高年级本科生:欢迎国内各个大学的在读优秀本科生(不限定于暨南大学),学有余力的高年级本科生进入课题组(有编程基础、熟悉《数据结构》和《算法设计与分析》),参与导师的科研项目和撰写学术论文,导师会手把手指导做研究!甘教授有着丰富的指导学生经验,累计指导多所高校20余名本科生,成功发表高水平SCI论文或EI会议论文,成功申请美国、欧洲、新加坡、香港等名校读研、读博进行深造。有计划出国深造 OR 保研考研 OR 就业的同学,感兴趣的请联系1107068143@qq.com 或 wsgan001@gmail.com(一般48小时内会回复)

 

课题组研究经费充裕,导师会手把手指导你做研究!与国内外知名高校、研究所等保持紧密合作,欢迎有想法的你来交流、合作,优秀者可推荐校内或校外读博/硕博连读,或推荐去美国/挪威/香港等境外知名学府深造。

 

2020年至今,约20名本科生进组开展技术探索和科研训练,取得了丰硕的科研成果,并成功申请美国、欧洲、新加坡、香港等名校读研、读博进行深造 。部分本科生的成果(仅列出第一作者的论文)

 

  1. Qi Lin本科生, Wensheng Gan*, Yongdong Wu, Jiahui Chen, Chien-Ming Chen: Smart System: Joint Utility and Frequency for Pattern Classification. ACM Transactions on Management Information Systems. 13(4): 43:1-43:24 (2022) (ACM Trans权威期刊, SCI, 影响因子3.6)
  2. Qi Lin本科生, Wensheng Gan*, Yongdong Wu, Jiahui Chen, Chien-Ming Chen: Joint Utility and Frequency for Pattern Classification. IEEE BigData 2021: 5524-5533 (EI, CCF推荐会议)
  3. Yanxin Zheng本科生, Wensheng Gan*, Zefeng Chen, Pinlyu Zhou, Philippe Fournier-Viger: SeqRFM: Fast RFM analysis in sequence data. Information Sciences. 723: 122652 (2026) (中科院一区, SCI, CCF B, 影响因子6.8)
  4. Yanxin Zheng本科生, Wensheng Gan*, Zefeng Chen, Zhenlian Qi, Qian Liang, Philip S. Yu: Large language models for medicine: a survey. International Journal of Machine Learning and Cybernetics. 16(2): 1015-1040 (2025) (JCR二区, SCI, 影响因子2.68)
  5. Yanxin Zheng本科生, Wensheng Gan*, Zefeng Chen, Pinlyu Zhou, Xiangxiao Diao: Fast RFM Analysis in Sequence Data. IEEE ICPADS 2023: 503-510  (EI, CCF推荐会议)
  6. Zhiyu Kan本科生, Wensheng Gan*, Zhenlian Qi, Philip S. Yu: Advances in Large Language Models for Medicine. Artificial Intelligence in Medicine, pp 1-23 (2025) (JCR一区, SCI, 影响因子6.2)
  7. Yuqing Liang#本科生, Jiancheng Xiao#本科生, Wensheng Gan, Philip S. Yu: Watermarking Techniques for Large Language Models: A Survey. Artificial Intelligence Review, pp 1-50 (2025) (中科院一区, SCI, 影响因子13.9)
  8. Jinqi Lai本科生, Wensheng Gan*, Jiayang Wu, Zhenlian Qi, Philip S. Yu: Large language models in law: A survey. AI Open 5: 181-196 (2024) (JCR一区, SCI, 影响因子14.8)
  9. Wensheng Gan, Zhenyao Ning本科生, Zhenlian Qi*, Philip S. Yu: Mixture of experts (MoE): A big data perspective. Information Fusion 127: 103664 (2026) (JCR一区, SCI, 影响因子15.5)
  10. Jiahong Cai本科生, Wensheng Gan*, Philip S. Yu: Cross-level Privacy Preserving Utility Mining. Computers & Security, pp 1-16, 2025. Under reviewed (JCR一区, SCI, CCF B, 影响因子5.4)
  11. Jiahong Cai本科生, Wensheng Gan*, Zhenlian Qi, Philippe Fournier-Viger: Utility-driven Cross-Level Data Mining. Array, pp 1-18, 2025. Under reviewed (JCR一区, SCI, 影响因子4.5)
  12. Junhui Li本科生, Wensheng Gan*, Yijie Gui, Yongdong Wu, Philip S. Yu: Frequent Itemset Mining with Local Differential Privacy. ACM CIKM 2022: 1146-1155  (EI, CCF B会议)
  13. Zhenqiang Ye本科生, Wensheng Gan*, Gengsen Huang, Tianlong Gu, Philip S. Yu: Discovering High-utility Sequential Rules with Increasing Utility Ratio. IEE Transactions on Big Data, pp 1-14, 2025 (IEEE Trans权威期刊, JCR一区, SCI, 影响因子5.7)
  14. Zhenqiang Ye本科生, Ziyang Li, Weibin Guo, Wensheng Gan*, Shicheng Wan, Jiahui Chen: Fast Weighted Sequential Pattern Mining. IEA/AIE 2022: 807-818  (EI会议)
  15. Zhenqiang Ye本科生, Shicheng Wan, Wensheng Gan*, Jiahui Chen, Linlin Tang: Fuzzy Utility Mining on Temporal Data. IEEE ICDIS 2022: 366-373  (EI会议)
  16. Wensheng Gan, Zhenqiang Ye本科生, Shicheng Wan*, Philip S. Yu: Web 3.0: The Future of Internet. ACM WWW (Companion Volume) 2023: 1266-1275  (EI, CCF推荐会议)
  17. Tingfu Zhou本科生, Zhenlian Qi, Wensheng Gan, Shicheng Wan, Guoting Chen: Weighted Statistically Significant Pattern Mining. ACM WWW (Companion Volume) 2023: 1276-1285  (EI, CCF推荐会议)
  18. Tingfu Zhou本科生, Wensheng Gan, Zhenlian Qi*: Weighted Contiguous Sequential Pattern Mining. IEEE ICDIS 2022: 358-365  (EI会议)
  19. Jiayang Wu本科生, Zhenlian Qi, Wensheng Gan*: Multi-Dimensional Graph Rule Learner. KSEM (1) 2023: 393-404  (EI, CCF推荐会议)
  20. Jiayang Wu本科生, Wensheng Gan, Zhenlian Qi*: Behavioral Sequence Classification with Constraints. IEEE ICDIS 2022: 350-357  (EI会议)
  21. Riyan Yang本科生, Lin Li本科生, Wensheng Gan*, Zefeng Chen, Zhenlian Qi: The Human-Centric Metaverse: A Survey. WWW (Companion Volume) 2023: 1296-1306  (EI, CCF推荐会议)
  22. Xinhong Chen本科生, Wensheng Gan*, Shicheng Wan, Tianlong Gu: MDL-based Compressing Sequential Rules. arXiv abs/2212.10252 (2022)
  23. Wenxi Zhu本科生, Wensheng Gan*, Zhenlian Qi: Leveraging Negative Sequential Patterns for Advanced Genomic Analysis and Classification. IEEE BIBM, 2025:1-8 (EI, CCF B会议)
  24. Wenxi Zhu本科生, Wensheng Gan*, Zhenlian Qi: Leveraging Negative Sequential Patterns for Advanced Genomic Analysis and Classification. pp 1-22, 2025. Submitted (JCR一区, SCI)
  25. Wenxi Zhu本科生, Wensheng Gan*, Zhenlian Qi, Philip S. Yu: Large Language Models for Bioinformatics: Applications and Challenges. IEEE BigData, 2025:1-10 (EI, CCF推荐会议)

 

其他(略)……


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