高年級(jí)本科生：歡迎國(guó)內(nèi)各個(gè)大學(xué)的在讀優(yōu)秀本科生（不限定于暨南大學(xué)），學(xué)有余力的高年級(jí)本科生進(jìn)入課題組(有編程基礎(chǔ)、熟悉《數(shù)據(jù)結(jié)構(gòu)》和《算法設(shè)計(jì)與分析》)，參與導(dǎo)師的科研項(xiàng)目和撰寫學(xué)術(shù)論文，導(dǎo)師會(huì)手把手指導(dǎo)做研究！甘教授有著豐富的指導(dǎo)學(xué)生經(jīng)驗(yàn)，累計(jì)指導(dǎo)多所高校20余名本科生，成功發(fā)表高水平SCI論文或EI會(huì)議論文，成功申請(qǐng)美國(guó)、歐洲、新加坡、香港等名校讀研、讀博進(jìn)行深造。有計(jì)劃出國(guó)深造 OR 保研考研 OR 就業(yè)的同學(xué)，感興趣的請(qǐng)聯(lián)系1107068143@qq.com 或 wsgan001@gmail.com(一般48小時(shí)內(nèi)會(huì)回復(fù))

課題組研究經(jīng)費(fèi)充裕，導(dǎo)師會(huì)手把手指導(dǎo)你做研究！與國(guó)內(nèi)外知名高校、研究所等保持緊密合作，歡迎有想法的你來交流、合作，優(yōu)秀者可推薦校內(nèi)或校外讀博/碩博連讀，或推薦去美國(guó)/挪威/香港等境外知名學(xué)府深造。

2020年至今，約20名本科生進(jìn)組開展技術(shù)探索和科研訓(xùn)練，取得了豐碩的科研成果，并成功申請(qǐng)美國(guó)、歐洲、新加坡、香港等名校讀研、讀博進(jìn)行深造 。部分本科生的成果(僅列出第一作者的論文)：

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權(quán)威期刊, SCI, 影響因子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推薦會(huì)議)
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) (中科院一區(qū), SCI, CCF B, 影響因子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二區(qū), SCI, 影響因子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推薦會(huì)議)
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一區(qū), SCI, 影響因子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) (中科院一區(qū), SCI, 影響因子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一區(qū), SCI, 影響因子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一區(qū), SCI, 影響因子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一區(qū), SCI, CCF B, 影響因子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一區(qū), SCI, 影響因子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會(huì)議)
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權(quán)威期刊, JCR一區(qū), SCI, 影響因子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會(huì)議)
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會(huì)議)
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推薦會(huì)議)
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推薦會(huì)議)
18. Tingfu Zhou本科生, Wensheng Gan, Zhenlian Qi*: Weighted Contiguous Sequential Pattern Mining. IEEE ICDIS 2022: 358-365  (EI會(huì)議)
19. Jiayang Wu本科生, Zhenlian Qi, Wensheng Gan*: Multi-Dimensional Graph Rule Learner. KSEM (1) 2023: 393-404  (EI, CCF推薦會(huì)議)
20. Jiayang Wu本科生, Wensheng Gan, Zhenlian Qi*: Behavioral Sequence Classification with Constraints. IEEE ICDIS 2022: 350-357  (EI會(huì)議)
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推薦會(huì)議)
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會(huì)議)
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一區(qū), 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推薦會(huì)議)

其他（略）……