论文成果概述：甘教授长期从事数据挖掘、人工智能、可信人工智能、隐私安全等领域研究，累计发表160余篇高水平学术论文，其中80余篇SCI期刊论文和80余篇EI会议论文，入选2021-2023年度全球前2%顶尖科学家。学术影响力: 成果被引用4800余次，H-index为40。详细的论文列表请参考DBLP主页

1) 近三年期刊论文(指导学生发表):

[1] Qi Lin本科生#, Wensheng Gan#, Yongdong Wu, Jiahui Chen, Chien-Ming Chen: Joint Utility and Frequency for Pattern Classification. ACM Transactions on Management Information System. pp 1-24 (2022) (SCI, TOP)

[2] Gengsen Huang硕士生, Wensheng Gan, Jian Weng, Philip S. Yu: US-Rule: Discovering Utility-driven Sequential Rules. ACM Transaction on Knowledge Discovery from Data (2022) (SCI, TOP)

[3] Gengsen Huang硕士生, Wensheng Gan, Shan Huang硕士生, Jiahui Chem. Negative Pattern Discovery with Individual Support. Knowledge-Based Systems, pp 1-16 (2022) (SCI, JCR Q1)

[4] Gengsen Huang硕士生, Wensheng Gan, Philip S. Yu: TaSPM: Targeted Sequential Pattern Mining. pp 1-17. Under revision (2022)

[5] Gengsen Huang硕士生, Wensheng Gan, et al.: Discovering Weighted Sequential Rules. pp 1-12. Under reviewed (2022)

[6] Gengsen Huang硕士生, Wensheng Gan, et al.: Sequence Utility Maximization with Utility Occupancy. pp 1-26. Under reviewed (2022)

[7] Wensheng Gan, Gengsen Huang硕士生, Jian Weng, Tianlong Gu, Philip S. Yu: Towards Target Sequential Rules. pp 1-26. ArXiv: 2206.04728. Under reviewed (2022)

[8] Jinbao Miao硕士生, Shicheng Wan硕士生, Wensheng Gan, Jiayi Sun, Jiahui Chen: Targeted High-Utility Itemset Querying. pp 1-12. IEEE Transaction on Artificial Intelligence (2022)

[9] Jinbao Miao硕士生, Shicheng Wan硕士生, Wensheng Gan, et al.: Towards Target High-Utility Itemsets. pp 1-14. ArXiv: 2206.06157.Under reviewed (2022)

[10] Jinbao Miao硕士生, Wensheng Gan, Gengsen Huang, Philip S. Yu: THUIQ: Targeted High-Utility Itemset Querying. pp 1-14. Under reviewed (2022)

讯享网

[11] Zhaowen Yin硕士生, Wensheng Gan, et al.: Constraint-based Sequential Rule Mining. pp 1-19. Under reviewed (2022)

[12] Yuheng Yang硕士生, Wensheng Gan, Philippe Fournier-Viger, Yongdong Wu, et al.: TopSR: Fast Mining Top-K Sequential Rules. pp 1-14. Under reviewed (2022)

[13] Yanling Cui硕士生, Wensheng Gan, Hong Lin本科生, Weimin Zheng: FRI-Miner: Fuzzy Rare Itemset Mining. Applied Intelligence. pp. 1-16 (2021) (SCI, JCR Q1)

[14] Lili Chen硕士生, Wensheng Gan, Qi Lin本科生, Shuqiang Huang, Chien-Ming Chen: OHUQI: Mining On-Shelf High-Utility Quantitative Itemsets. The Journal of Supercomputing. pp. 1-20 (2021) (SCI, JCR Q2)

[15] Chunkai Zhang, Zilin Du硕士生, Yuting Yang硕士生, Wensheng Gan, Philip S. Yu: On-Shelf Utility Mining of Sequence Data. ACM Transaction on Knowledge Discovery from Data16(2): 21:1-21:31 (2022) (SCI, TOP)

[16] Chunkai Zhang, Quanjian Dai硕士生, Zilin Du硕士生, Wensheng Gan, et al.: TUSQ: Targeted High-Utility Sequence Querying. IEEE Transaction on Big Data, pp 1-15 (2022) (SCI, TOP)

[17] Chunkai Zhang, Zilin Du硕士生, Wensheng Gan, Philip S. Yu: TKUS: Mining top-k high utility sequential patterns. Information Science. 570: 342-359 (2021, JCR Q1)

[18] Jiahui Chen, Xu Guo硕士生, Wensheng Gan, Chien-Ming Chen, Weiping Ding, Guoting Chen. On-shelf utility mining from transaction database. Engineering Applications of Artificial Intelligence. 107: (2022) (SCI, JCR Q1)

[19] Chien-Ming Chen, Lili Chen硕士生, Wensheng Gan, Lina Qiu, Weiping Ding: Discovering high utility-occupancy patterns from uncertain data. Information Science. 546: 1208-1229 (2021) (SCI, JCR Q1)

[20] Shicheng Wan硕士生, Jiahui Chen, Wensheng Gan, Guoting Chen, Vikram Goyal: THUE: Discovering Top-K High Utility Episodes. pp 1-12. ArXiv: 2106.14830 (2021)

[21] Shicheng Wan硕士生, Wensheng Gan, Xu Guo, Jiahui Chen, Unil Yun: FUIM: Fuzzy Utility Itemset Mining. pp 1-14. ArXiv: 2111.00307 (2021)

[22] Shicheng Wan硕士生, Wensheng Gan, Jiahui Chen, et al.: Fast Data Mining Model for RFM Analysis. pp 1-12. Under reviewed (2022)

[23]Jiahui Chen, Shicheng Wan硕士生, Wensheng Gan, Guoting Chen, Hamido Fujita: TOPIC: Top-k High-Utility Itemset Discovering. ArXiv: 2106.14811 (2021)

[24] Chunkai Zhang, Quanjian Dai硕士生, Zilin Du硕士生, Wensheng Gan, Jian Weng, and Philip S. Yu. Utility-driven Mining of Contiguous Sequences. pp 1-14, ArXiv: 2111.00247 (2021)

[25] Chunkai Zhang, Yuting Yang硕士生, Zilin Du硕士生, Wensheng Gan, HUSP-SP: Faster Utility Mining on Sequence Data. pp 1-18, Under revision (2022)

[26] Chien-Ming Chen, Lili Chen硕士生, Wensheng Gan: Flexible Pattern Discovery and Analysis. ArXiv: 2111.12218 (2021)

指导本科生、硕士生等发表会议论文50余篇，详细列表请参考DBLP主页

[1] Junhui Li硕士生, Wensheng Gan, Yijie Gui, Yongdong Wu, Philip S. Yu: Frequent Itemset Mining with Local Differential Privacy. The 31st ACM International Conference on Information and Knowledge Management (CIKM ’22). pp 1146-1155, 2022 (EI, 数据挖掘领域Top会议)

[2] Yijie Gui硕士生, Wensheng Gan, Yao Chen硕士生, Yongdong Wu: Mining with Rarity for Web Intelligence. WWW Conference (Companion), pp 973-98, 2022 (EI, 数据挖掘领域TOP会议)

[3] Zhaowen Yin硕士生, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philippe Fournier-Viger: Constraint-based Sequential Rule Mining. The 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA’22). pp 1-10, 2022 (EI, 数据科学领域知名会议)

[4] Shicheng Wan硕士生, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philippe Fournier-Viger: Constraint-based Sequential Rule Mining. The 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA’22). pp 1-10, 2022 (EI, 数据科学领域知名会议)

[5] Zhenqiang Ye 本科生, Shicheng Wan硕士生, Wensheng Gan*, Jiahui Chen, Linlin Tang: Fuzzy Utility Mining on Temporal Data. The 4th IEEE International Conference Ondata Intelligence and Security (ICDIS’22). pp 1-8, 2022 (EI, Best Student Paper**学生论文奖)