Wensheng Gan
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Publications

Acknowledgement: My research work is partially supported by the National Natural Science Foundation of China (NSFC), CSC Ministry of Education of PR. China, Jinan University, etc.

致谢: 本人研究主要由国家自然科学基金、教育部CSC、暨南大学等资助。

Note: Students supervised by me are underlined. Corresponding author is marked by *.      (下划线标注的为本人指导的学生，*为通讯作者)

2022

  1. Jiahui Chen, Shicheng Wan, Wensheng Gan*, Guoting Chen, and Hamido Fujita,
    “TOPIC: Top-k High-Utility Itemset Discovering,”
    arxiv, 1-14 (2021) [PDF]

  2. Shicheng Wan, Jiahui Chen, Wensheng Gan*, Guoting Chen, and Vikram Goyal,
    “THUE: Discovering Top-K High Utility Episodes,”
    arxiv, 1-14 (2021) [PDF]

  3. Chunkai Zhang, Zilin Du, Quanjian Dai, Wensheng Gan*, Jian Weng, and Philip S. Yu,
    “TUSQ: Targeted High-Utility Sequence Querying,”
    IEEE Trans. Big Data., 1-15 (2021) [PDF]

  4. Wensheng Gan, Zilin Du, Weiping Ding, Chunkai Zhang, and Han-Chieh Chao,
    “Explainable Fuzzy Utility Mining on Sequences,”
    IEEE Trans. Fuzzy Syst., 1-15 (2021) [PDF]

2021

  1. Jiahui Chen, Xu Guo, Wensheng Gan*, Chien-Ming Chen, and Weiping Ding,
    “On-Shelf Utility Mining from Transaction Database,”
    Engineering Applications of Artificial Intelligence , XX: 1-15, 2021 (SCI, IF: 6.212, JCR Q1)

  2. Chien-Ming Chen, Lili Chen, Wensheng Gan*, Lina Qiu, and Weiping Ding,
    “Discovering high utility-occupancy patterns from uncertain data,”
    Information Science, 546: 1208-1229, 2021 (SCI, IF: 6.795, JCR Q1) [PDF]

  3. Chunkai Zhang, Zilin Du, Wensheng Gan*, and Philip S. Yu,
    “TKUS: Mining top-k high utility sequential patterns,”
    Information Science., 570: 342-359, 2021 (SCI, IF: 6.795, JCR Q1) [PDF]

  4. Chunkai Zhang, Zilin Du, Yuting Yang, Wensheng Gan*, and Philip S. Yu,
    “On-shelf Utility Mining of Sequence Data,”
    ACM Trans. Knowl. Discov. Data., 16(2): 21:1-21:31, 2021 (SCI, IF: 4.0, top) [PDF]

  5. Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, et al.,
    “Utility Mining Across Multi-Dimensional Sequences,”
    ACM Trans. Knowl. Discov. Data, 15(5): 82:1-82:24, 2021 (SCI, IF: 4.0, top) [PDF]

  6. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, and Philip S. Yu,
    “Beyond Frequency: Utility Mining with Varied Item-specific Minimum Utility,”
    ACM Trans. Internet Techn., 21(1): 3:1-3:32, 2021 (SCI, top) [PDF]

2020

  1. Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, and Philip S. Yu,
    “Utility Mining across Multi-Sequences with Individualized Thresholds,”
    ACM Trans. Data Sci., 1(2): 8:1-8:29 (2020) [PDF]

  2. Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philippe Fournier-Viger, Xuan Wang, and Philip S. Yu,
    “Utility-Driven Mining of Trend Information for Intelligent System,”
    ACM Trans. Manag. Inf. Syst., 11(3): 14:1-14:28 (2020) [PDF]

  3. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, and Philip S. Yu,
    “A Survey of Utility-Oriented Pattern Mining,”
    IEEE Trans. Knowl. Data Eng., 33(4): 1306-1327 (2021). [PDF]

  4. Jiahui Chen, Xu Guo, Wensheng Gan*, Chien-Ming Chen, Weiping Ding, and Guoting Chen,
    “OSUMI: On-Shelf Utility Mining from Itemset-based Data,”
    IEEE International Conference on Big Data, 5340-5349 (2020). [PDF]

  5. Wensheng Gan, Shicheng Wan, Jiahui Chen, Chien-Ming Chen, and Lina Qiu,
    “TopHUI: Top-k high-utility itemset mining with negative utility,”
    IEEE International Conference on Big Data, 5350-5359 (2020). [PDF]

  6. Chien-Ming Chen, Lili Chen, Wensheng Gan*, Lina Qiu, and Weiping Ding,
    “UHUOPM: High Utility Occupancy Pattern Mining in Uncertain Data,”
    IEEE International Conference on SMC, 3066-3071 (2020). [PDF]

  7. Jinta Weng, Wensheng Gan, Guozhu Ding, Zhihong Tian, Ying Gao, and Jing Qiu,
    “SESM: Emotional Social Semantic and Time Series Analysis of Learners' Comments,”
    IEEE International Conference on SMC, 4134-4139 (2020). [PDF]

2019

  1. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, and Philip S. Yu,
    “A Survey of Parallel Sequential Pattern Mining,”
    ACM Trans. Knowl. Discov. Data, 13(3): 25:1-25:34, 2019. [PDF]

  2. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, and Philip S. Yu,
    “HUOPM: High Utility Occupancy Pattern Mining,”
    IEEE Trans. Cybernetics, 2019. [PDF] [Code & Datasets]

  3. Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Han-Chieh Chao, and Philip S. Yu,
    “Fast Utility Mining on Sequence Data,”
    IEEE Trans. Cybernetics, 2020. [PDF] [Code & Datasets]

  4. Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, and Philip S. Yu,
    “Utility Mining Across Multi-Sequences with Individualized Thresholds,”
    ACM Trans. Data Science, 2019. [PDF] [Code & Datasets]

  5. Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Athanasios V Vasilakos, and Philip S. Yu,
    “Utility-driven Data Analytics on Uncertain Data,”
    IEEE System Journal, 2019. [PDF] [Code & Datasets]

  6. Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Han-Chieh Chao, Hamido Fujita, and Philip S. Yu,
    “ProUM: Projection-based Utility Mining on Sequence Data,”
    Information Science, online, 2019. [PDF] [Code & Datasets]

  7. Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Hamido Fujita, and Philip S. Yu,
    “Utility-based Correlated Pattern Mining,”
    Information Science, vol. 504, pp. 470-486, 2019. [PDF] [Code & Datasets]

2018

  1. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Tzung-Pei Hong, and Hamido Fujita,
    “A Survey of Incremental High-Utility Itemset Mining,”
    Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, vol. 8(2), 2018 [PDF]

  2. Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, and Justin Zhan,
    “Data Mining in Distributed Environment: A Survey,”
    Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, vol. 7(6), 2017 [PDF]

  3. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Justin Zhan, and Ji Zhang,
    “Exploiting Highly Qualified Pattern with Frequency and Weight Occupancy,”
    Knowledge and Information Systems, vol. 56(1), pp. 165-196, 2018 [PDF] [Code & Datasets]

  4. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Justin Zhan, and Ji Zhang,
    “Extracting Non-Redundant Correlated Purchase Behaviors by Utility Measure,”
    Knowledge-Based Systems, vol. 143, pp. 30 - 41, 2018 [PDF] [Code & Datasets]

2017

  1. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Jimmy Ming-Thai Wu, and Justin Zhan,
    “Extracting Recent Weighted-based Patterns from Uncertain Temporal Databases,”
    Engineering Applications of Artificial Intelligence, vol. 61, pp. 161-172, 2017 [PDF] [Code & Datasets]

  2. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, and Justin Zhan,
    “Mining of Frequent Patterns with Multiple Minimum Supports,”
    Engineering Applications of Artificial Intelligence, vol. 60, pp. 83-96, 2017 [PDF] [Code & Datasets]

2016

  1. Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, and Vincent S. Tseng,
    “Efficient algorithms for mining up-to-date high-utility patterns,”
    Advanced Engineering Informatics, vol. 29(3), pp. 648-661, 2016 [PDF] [Code & Datasets]

  2. Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng,
    “Efficient algorithms for mining high-utility itemsets in uncertain databases,”
    Knowledge-Based Systems, vol. 96, pp. 171-187, 2016 [PDF] [Code & Datasets]

  3. Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng,
    “Fast algorithms for mining high-utility itemsets with various discount strategies,”
    Advanced Engineering Informatics, vol. 30(2), pp. 109-126, 2016 [PDF] [Code & Datasets]

2015 and before

  1. Full papers [DBLP]