教师名录
林浚玮
通讯地址:深圳市西丽大学城哈工大校区C栋106
电子邮件:jerrylin@ieee.org
联系电话:075526033148

个人简介

林浚玮博士,哈尔滨工业大学(深圳)副教授,深圳市海外高层次B类人才(孔雀计划),国立成功大学资讯工程系工学博士。其研究经历与特色兼具学术界经验(高校助理教授、副教授),工业界经验(富士康集团资深工程师)和国际经验(澳大利亚,中国台湾,中国大陆)。林博士课题组的主要研究方向为: 数据挖掘、人工智能、机器学习与隐私安全等,至今已接收并发表200余篇高水平论文(86篇SCI期刊论文与120余篇EI会议论文),其中CCF-B类与CCF-C类文章,JCR 1区与2区的论文占了60多篇,第一作者60多篇,通讯作者10多篇。根据Google Scholar统计,目前论文总引用1500余次,H-index为20。近五年来,先后主持了国家自然科学青年基金、CCF-腾讯犀牛鸟青年基金、CCF-腾讯犀牛鸟创意基金、哈工大-腾讯联合基金、哈工大重点创新项目培育计划等科研项目。其学术任职包括: 从2016年起担任数据挖掘领域的知名SCI期刊Intelligent Data Analysis (SCI, Q4) 的编委Editorial Board Member,Journal of Internet Technology (SCI, Q2) 的副主编和国际期刊Data Science and Pattern Recognition的主编。他是数十个国际知名学术期刊的审稿人,同时担任数十个国际会议的程序委员会委员和审稿人。详细信息请访问智能型知识工程实验室网站: http://ikelab.net

研究方向

数据挖掘、大数据技术、人工智能、机器学习、云计算、 物联网等。
林博士课题组每年招收硕士生4名左右,欢迎有志于以上研究领域的优秀学生加入,有志于学术科研或工程应用均可以,感兴趣请联系 jerrylin@ieee.org。

详细信息请访问智能型知识工程实验室网站: http://ikelab.net

教育经历

2006 - 2010  获工学博士学位 (资讯工程系),国立成功大学

2004 - 2006  获管理学硕士学位 (资讯管理),台湾义守大学
2003 - 2004  硕士,澳大利亚新南威尔士大学
1998 - 2002  获管理学学士学位 (资讯管理),台湾义守大学

研究与工作经历

2017/01 -  副教授、硕士生导师,哈工大(深圳) 计算机科学与技术学院
2012/10 -2016/12  助理教授、硕士生导师,哈工大(深圳) 计算机科学与技术学院
2012/3-2012/10   资深工程师,鸿海(富士康)科技股份有限公司
2011 - 2012   博士后研究员,台湾高雄大学资讯工程系
2011 - 2012   兼任助理教授,台湾屏东科技大学资讯管理系
2010 - 2011   专案助理研究员,台湾高雄大学通识教育中心
2010 - 2012   兼任助理教授,台湾高雄大学资讯工程系
2009 - 2010   兼任讲师,台湾正修科技大学资讯管理系

专业资质与学术兼职

  

科研项目

2016.01-2018.12   国家自然科学青年基金 (主持)
2016.10-2018.10   广东省清远市项目 (核心参与)
2016.01-2017.12   CCF-腾讯犀牛鸟创意基金 (主持)
2015.12-2016.11   哈工大-腾讯合作项目 (主持)
2014.10-2015.10   CCF-腾讯犀牛鸟科研基金 (主持)
2014.01-2015.12   哈工大重点创新项目培育计划 (主持)
2014.01-2015.12   哈工大科研创新研究基金 (主持)
2012.01-2015.12   深圳市海外高层次人才创新创业专项基金项目:深圳市孔雀计划 (核心参与)

科研成果及奖励

2016   国际会议Industrial ICDM最佳海报提名奖
2016   国际会议ACM SIGAPP SAC最佳海报提名奖
2015   国际会议ICGEC最佳论文奖
2015   国际会议MLDM最佳论文提名奖
2014   CCF-腾讯犀牛鸟青年基金-优秀奖
2014   国际会议IEA/AIE最佳论文奖
2013   台湾网路智能学会的最佳硕士论文指导教授奖
2013  深圳市海外高层次B类人才(孔雀计划)
2011   台湾网路智能学会的最佳硕士论文指导教授奖
2011   台湾网路智能学会的最佳博士论文奖
2011   台湾人工智慧学会的博士论文奖佳作
2007   国际会议ICICIC最佳论文奖

发明专利

[1]. M447011, 王月云, 林浚玮, 计程车之安全通报系统, 2014.4.21-2023.12.30 (台湾发明专利)

[2]. 吴祖扬, 陈建铭, 林浚玮等. 云环境下的数据分层访问方法及系统, 授权号CN104320426, 2015. (国家发明专利)

[3]. 林浚玮, 潘正祥, 吴祖扬, 陈建铭, 罗牧之. 具有改善视线功能的车用装置, 授权号CN104354571A, 2015. (国家发明专利)

[4]. 林浚玮, 甘文生等. 项集挖掘方法及装置, 申请号201510115234.5, 2015. (国家发明专利)

[5]. 林浚玮, 甘文生等. 数据挖掘方法和装置, 申请号201510115234.5, 2015. (国家发明专利)

[6]. 林浚玮, 甘文生等. 项集挖掘方法及装置, 申请号201510106336.0, 2015. (国家发明专利)

[7]. 林浚玮, 甘文生等. 一种对象信息的展示方法和装置, 申请号201510106783.6, 2015. (国家发明专利)

[8]. 林浚玮, 甘文生等. 一种模式挖掘方法及装置, 申请号201610856770.5, 2016. (国家发明专利)

论文及著作

林教授至今已发表200余篇高水平学术论文 (86篇SCI期刊论文与120多篇国际会议论文),其中CCF-B类与CCF-C类文章,JCR 1区与2区的论文占了60多篇,第一作者60多篇,通讯作者10多篇。根据Google Scholar统计,目前论文总引用1500余次,H-index为20。详细信息请访问智能型知识工程实验室网站: http://ikelab.net

出版著作情况:

[1]. "Tree-based Algorithms for Incremental, Utility, and Fuzzy Data Mining", Lambert Academic Publisher, 2015. (主编/排名第1)

[2]. "TGenetic and Evolutionary Computing - Volume I", Proceeding of the Eighth International Conference on Genetic and Evolutionary Computing, ICGEC 2014, Springer, 2014. (主编/排名第3)

[3]. "Genetic and Evolutionary Computing - Volume I", Proceeding of the Ninth International Conference on Genetic and Evolutionary Computing, ICGEC 2015, Springer, 2014. (主编/排名第2)

[4]. "Genetic and Evolutionary Computing - Volume II", Proceeding of the Ninth International Conference on Genetic and Evolutionary Computing, ICGEC 2015, Springer, 2014. (主编/排名第2)

[5]. "A Survey of Fuzzy Data Mining Techniques", Springer, 2016. (参编/排名第3)

[6]. "Genetic and Evolutionary Computing - Volume II", Proceeding of the Tenth International Conference on Genetic and Evolutionary Computing, ICGEC 2016, Springer, 2016. (主编/排名第2)



下面仅列出近两年2015/01 - 2017/02的主要期刊论文。

1. Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, and Han-Chieh Chao, “Extracting Recent Weighted-based Patterns from Uncertain Temporal Databases,” Engineering Applications of Artificial Intelligence, 2017. (SCI/EI, IF:2.368, JCR Q1)
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, 2017 (SCI/EI, IF:2.368, JCR Q1)
3.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Han-Chieh Chao, and Tzung-Pei Hong, “Efficiently Mining Frequent Itemsets with Weight and Recency Constraints,” Applied Intelligence, 2017. (SCI/EI, IF:1.215, JCR Q3)
4. Jeng-Shyang Pan, Jerry Chun-Wei Lin*, Lu Yang, Philippe Fournier-Viger, and Tzung-Pei Hong, “Efficiently Mining of Skyline Frequent-Utility Patterns,” Intelligent Data Analysis, 2017. (SCI/EI, IF: 0.631, JCR Q4)
5.Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong, Ja-Hwung Su, and Bay Vo, “A Fast Algorithm for Mining High Average-Utility Itemsets,” Applied Intelligence, 2017. (SCI/EI, IF:1.215, JCR Q3)
6.Jimmy Ming-Thai Wu, Justin Zhan, and Jerry Chun-Wei Lin*, “An ACO-based Approach to Mine High-Utility Itemsets,” Knowledge-Based Systems, Vol. 116, pp. 102-113, 2017. (SCI/EI, IF:3.325, JCR Q1)
7.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Justin Zhan, "Efficient Mining of High-Utility Itemsets Using Multiple Minimum Utility Thresholds," Knowledge-Based Systems, Vol. 113, pp. 100-115, 2016. (SCI/EI, IF:3.325, JCR Q1)
8.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “FDHUP: Fast Algorithm for Mining Discriminative High Utility Patterns,” Knowledge and Information Systems, pp. 1-37, 2016. (SCI/E, IF: 1.702, JCR Q2)
9.Jerry Chun-Wei Lin, Philippe Fournier-Viger, and Wensheng Gan, “FHN: An Efficient Algorithm for Mining High-Utility Itemsets with Negative Unit Profits,” Knowledge-Based Systems, Vol. 111, pp. 283-298, 2016. (SCI/EI IF:3.325, JCR Q1)
10.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger and Tzung-Pei Hong, “Efficiently Updating the Discovered Sequential Patterns for Sequence Modification,” International Journal of Software Engineering and Knowledge Engineering, Vol. 26 (8), pp. 1285-1313, 2016. (SCI/EI, IF:0.240, JCR Q4)
11. Souleymane Zida, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, “EFIM: A Fast and Memory Efficient Algorithm for High-Utility Itemset Mining,” Knowledge and Information Systems, pp. 1-31, 2016. (SCI/EI, IF: 1.702, JCR Q2)
12.Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, and Tzung-Pei Hong, “PTA: An Efficient System for Anonymizing Transaction Databases”, IEEE Access, Vol. 4, pp. 6467-6479, 2016. (SCI/EI, IF:1.248, JCR Q2)
13.Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Jimmy Ming-Thai Wu, and Justin Zhan “Efficient Mining of Multiple Fuzzy Frequent Itemsets,” International Journal of Fuzzy Systems, pp. 1-9, 2016. (SCI/EI, IF: 0.941, JCR Q3)
14.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, "Efficiently Mining Uncertain High-Utility Itemsets," Soft Computing, pp. 1-20, 2016. (SCI/EI, IF:1.630, JCR Q2)
15.Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Tzung-Pei Hong, and Miroslav Voznak “A Binary PSO Approach to Mine High-Utility Itemsets” Soft Computing, pp. 1-19, 2016. (SCI/EI, IF:1.630, JCR Q2)
16.Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Ming-Thai Wu, Tzung-Pei Hong, Leon Shyue-Liang Wang, and Justin Zhan, "Mining High-Utility Itemsets based on Particle Swarm Optimization," Engineering Applications of Artificial Intelligence, Vol. 55, pp. 320-330, 2016. (SCI/EI, IF:2.368, JCR Q1)
17.Jerry Chun-Wei Lin, Tsu-Yang Wu, Philippe Fournier-Viger, Guo Lin, Justin Zhan and Miroslav Voznak, “Fast Algorithms for Hiding Sensitive High-Utility Itemsets in Privacy-Preserving Utility Mining,” Engineering Applications of Artificial Intelligence, Vol. 55, pp. 269-284, 2016. (SCI/EI, IF:2.368, JCR Q1)
18.Chun-Wei Lin, Binbin Zhang, Wensheng Gan, Bo-Wei Chen, Seungmin Rho, Tzung-Pei Hong, “Updating High-Utility Pattern Trees with Transaction Modification,” Multimedia Tools and Applications, Vol. 75(9), pp. 4887-4912, 2016. (SCI/EI, IF:1.313, JCR Q2)
19.Peng Cheng, Ivan Lee, Chun-Wei Lin, and Jeng-Shyang Pan, “Association Rule Hiding Based on Evolutionary Multi-objective Optimization,” Intelligent Data Analysis, Vol. 20(3), pp. 495-514, 2016. (SCI/EI, IF: 0.631, JCR Q4)
20.Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan, and Miroslav Voznak “An Efficient Algorithm to Mine High Average-Utility Itemsets,” Advanced Engineering Informatics, Vol. 30(2), pp. 233-243, 2016. (SCI/EI, IF:2.00, JCR Q1)
21.Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Miroslav Voznak, and Justin Zhan “A Sanitization Approach for Hiding Sensitive Itemsets based on Particle Swarm Optimization,” Engineering Applications of Artificial Intelligence, Vol. 53, pp. 1-18, 2016. (SCI/EI, IF:2.368, JCR Q1)
22.Ra¨ıssa Yapan Dougnon, Philippe Fournier-Viger, Lin, Jerry Chun-Wei Lin, and Roger Nkambou, “Inferring Social Network User Profiles using a Partial Social Graph,” Journal of Intelligent Information Systems, Vol. 47 (2), pp. 313-244, 2016. (SCI/EI, IF: 1.00, JCR Q3)
23.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. (SCI/EI, IF:2.00, JCR Q1)
24.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. (SCI/EI, IF:3.325, JCR Q1)
25.Jerry Chun-Wei Lin, Wensheng Gan, and Tzung-Pei Hong, “A Fast Maintenance Algorithm of the Discovered High-Utility Itemsets with Transaction Deletion,” Intelligent Data Analysis, Vol. 20(4), 891-913, 2016. (SCI, IF: 0.631, JCR Q4)
26.Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Hsin-Yi Chen and Sheng-Tun Li, “An Efficient Algorithm to Maintain the Discovered Frequent Sequences with Record Deletion,” Intelligent Data Analysis, Vol. 20(3), pp. 655-677, 2016. (SCI, IF: 0.631, JCR Q4)
27.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Weighted Frequent Itemset Mining over Uncertain Databases,” Applied Intelligence, Vol. 44(1), pp. 232-250, 2016. (SCI/EI, IF:1.215, JCR Q3)
28. Chun-Wei Lin, Wensheng Gan, and Tzung-Pei Hong, “Maintaining the Discovered High-Utility Itemsets with Transaction Modification,” Applied Intelligence, Vol. 44(1), pp. 166-178, 2016. (SCI/EI, IF:1.215, JCR Q3)
29. Peng Cheng, John F. Roddick, Shu-Chuan Chu, and Chun-Wei Lin, “Privacy Preservation through a Greedy, Distortion-based Rule-Hiding Method,” Applied Intelligence, Vol. 44(2), pp. 295-306, 2016. (SCI/EI, IF:1.215, JCR Q3)
30.Jerry Chun-Wei Lin, Tzung-Pei Hong, Tsung-Ching Lin and Shing-Tai Pan, “An UBMFFP Tree for Mining Multiple Fuzzy Frequent Itemsets,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 23(6), pp. 861-879, 2015. (SCI/EI, IF:1.00, JCR Q3)
31.Peng Cheng, Chun-Wei Lin, Jeng-Shyang Pan, and Ivan Lee, “Manage the Tradeoff in Data Sanitization,” IEICE Transactions on Information and Systems, Vol.E98-D (10), pp.1856-1860, 2015. (SCI/EI, IF:0.226, JCR Q4)
32.Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, and Tzung-Pei Hong, “A Fast Algorithm for Mining Fuzzy Frequent Itemsets,” Journal of Intelligent & Fuzzy Systems, Vol. 29(6), pp. 2373-2379, 2015. (SCI/EI, IF:1.004, JCR Q3)
33.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, 2015. (SCI/EI, IF:2.00, JCR Q1)
34.Jerry Chun-Wei Lin, Wensheng Gan, and Tzung-Pei Hong, “A Fast Updated Algorithm to Maintain the Discovered High-Utility Itemsets for Transaction Modification,” Advanced Engineering Informatics, Vol. 29(3), pp. 562-574, 2015. (SCI/EI, IF:2.00, JCR Q1)
35.Jerry Chun-Wei Lin, Tzung-Pei Hong, Wensheng Gan, Hsin-Yi Chen, and Sheng-Tun Li, “Incrementally Updating the Discovered Sequential Patterns based on Pre-large Concept,” Intelligent Data Analysis, Vol. 19(5), pp. 1071-1089, 2015. (SCI/EI, IF:0.631, JCR Q4)
36.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “RWFIM: Recent Weighted-Frequent Itemsets Mining,” Engineering Applications of Artificial Intelligence, Vol. 45, pp. 18-32, 2015. (SCI/EI, IF:2.368, JCR Q1)
37. Peng Cheng, Chun-Wei Lin, and Jeng-Shyang Pan, “Use HypE to Hide Association Rules by Adding Items,” PLOS One, Vol. 10(6), pp. 1-19, 2015. (SCI, IF:3.057, JCR Q1)
38. Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee, and Chun-Wei Lin, “Tightening Upper Bounds for Mining Weighted Frequent Itemsets”, Intelligent Data Analysis, Vol. 19(2), pp. 413-429, 2015. (SCI/EI, IF:0.631, JCR Q4)
39.Jerry Chun-Wei Lin, Tzung-Pei Hong, and Guo-Cheng Lan, “Updating the Sequential Patterns in Dynamic Databases for Customer Sequences Deletion,” Journal of Internet Technology, Vol.16(3), pp.370-379, 2015. (SCI/EI, IF:0.533, JCR Q4)
40. Chun-Wei Lin, Guo-Cheng Lan, and Tzung-Pei Hong, “Mining High Utility Itemsets for Transaction Deletion in a Dynamic Database,” Intelligent Data Analysis, Vol. 19(1), pp. 43-255, 2015. (SCI/EI, IF:0.631, JCR Q4)
41.Jerry Chun-Wei Lin, Tzung-Pei Hong, and Tsung-Ching Li, “A CMFFP-tree Algorithm to Mine Complete Multiple Fuzzy Frequent Itemsets,” Applied Soft Computing, Vol. 28, pp. 431-439, 2015. (SCI/EI, IF:2.857, JCR Q1)
42.Jerry Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong, and, Yueh-Yun Wang “A Fast Updated High Utility Pattern Trees for Transaction Deletion,” Journal of Internet Technology, Vol.16(1), pp.131-138, 2015. (SCI, IF:0.533, JCR Q4)
43.Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong and Binbin Zhang, “An Incremental High-Utility Mining Algorithm with Transaction Insertion,” The Scientific World Journal, Vol. 2015, Article ID 161564, 2015. (SCI, IF:1.219, JCR Q2)
44. Chun-Wei Lin, Tzung-Pei Hong, Kuo-Tung Yang, and Shyue-Liang Wang, “The GA-based Algorithms for Optimizing Hiding Sensitive Itemsets through Transaction Deletion,” Applied Intelligence, Vol. 42(2), pp. 210-230, 2015. (SCI/EI, IF:1.215, JCR Q2)
45. Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Jia-Wei Wong, and Wen-Yang Lin, “Efficient Updating of Discovered High-Utility Itemsets for Transaction Deletion in Dynamic Databases,” Advanced Engineering Informatics, Vol. 29(1), pp. 16-27, 2015. (SCI/EI, IF:2.00, JCR Q1)
46. Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Seungmin Rho, and Bo-Wei Chen “Peer-to-Peer Usage Analysis in Dynamic Databases,” Peer to Peer Networking and Applications, Vol. 8(5), pp. 851-862, 2015. (SCI/EI, IF:1.00, JCR Q3)
47.Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, and Jingliang Zhang “Updating the Built Prelarge Fast Updated Sequential Pattern Trees with Sequence Modification,” International Journal of Data Warehousing and Mining, Vol. 1(1), pp. 1-21, 2015. (SCI/EI, IF:0.625, JCR Q4)

会议论文及发表演说

下面仅列出近两年2015/01 - 2017/02的会议论文:

1. Wensheng Gan, Jerry Chun-Wei Lin*, and Han-Chieh Chao, “Mining High-Utility Itemsets with both Positive and Negative Unit Profits from Uncertain Databases,” The Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2017 (PAKDD 2017, Springer EI)
2. Nguyen Bui, Van-Nam Huynh, Chun-Wei Lin, and Loan Nguyen, “Mining Closed High-Utility Itemsets from Uncertain Databases,” The International Symposium on Information and Communication Technology , 2016 (SoICT 2016, ACM, EI)
3.Tzung-Pei Hong, Tsung-Ta Shih, Chun-Wei Lin, and Bay Vo, “Integration of Erasable Itemsets,” International Computer Symposium, 2016 (ICS 2016, IEEE, EI)
4.Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Ja-Hwung Su, and Bay Vo, “A More Efficient Algorithm to Mine High Average-Utility Itemsets,” The International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2016 (IIHMSP 2016, IEEE, EI)
5. Tzung-Pei Hong, Kun-Yi Lin, Chun-Wei Lin and Bay Vo, “An Incremental Mining Algorithm for Erasable Itemsets,” The 2016 Conference on Technologies and Applications of Artificial Intelligence, 2016 (TAAI 2016)
6.Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Siddharth Dawar, Vikram Goyal, Ashish Sureka, and Bay Vo, “A More Efficient Algorithm to Mine Skyline Frequent-Utility Patterns,” International Conference on Genetic and Evolutionary Computing, pp. 127-135, 2016. (ICGEC 2016, Springer, EI)
7.Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Tzung-Pei Hong and Chien-Ming Chen, “Efficient Mining of Short Periodic High-Utility Itemsets,” IEEE International Conference on System Man, and Cybernetics, 2016. (IEEE SMC 2016, IEEE, EI)
8.Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong, Thu-Lan Dam, Lukas Sevcik, Dominik Uhrin, Miroslav Voznak, “PFPM: Discovering Periodic Frequent Patterns with Novel Periodicity Measures,” Czech-China Conference, 2016. (ECC 2016, Springer, EI)
9.Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, and Ja-Hwung Su, “Fast Algorithms for Mining Multiple Fuzzy Frequent Itemsets,” IEEE International Conference on Fuzzy Systems, pp. 2113-2119, 2016. (FUZZ-IEEE 2016, IEEE, EI)
10. Philippe Fournier-Viger, Jerry Chun-Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhihong Deng, and Hoang Thanh Lam, “The SPMF Open-Source Data Mining Library Version 2 and beyond,” The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2016. (ECML-PKDD 2016, LNCS, EI)
11. Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, and Han-Chieh Chao, “Mining Recent High Expected Weighted Itemset from Uncertain Databases,” The Asia Pacific Web Conference, 2016. (APWeb 2016, LNCS, EI)
12.Jimmy Ming-Tai Wu, Justin Zhan, and Jerry Chun-Wei Lin*, “Mining of High-Utility Itemsets by ACO Algorithm,” The Multidisciplinary International Social Networks Conference, 2016. (MISNC 2016, ACM, EI)
13.Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, Han-Chieh Chao, “Mining Recent High-Utility Patterns from Temporal Databases with Time-Sensitive Constraint,” The International Conference on Big Data Analytics and Knowledge Discovery, pp. 3-18, 2016. (DaWaKa 2016, LNCS, EI)
14.Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, and Usef Faghihi, “Mining Minimal High-Utility Itemsets,” The International Conference on Database and Expert Systems Applications, pp. 88-101, 2016. (DEXA 2016, LNCS, EI)
15.Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, and Han-Chieh Chao, “More Efficient Algorithms for Mining High-Utility Itemsets with Multiple Minimum Thresholds,” The International Conference on Database and Expert Systems Application, pp. 71-87, 2016. (DEXA 2016, LNCS, EI)
16.Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan and Miroslav Voznak, “An Efficient Anonymous System for Transaction Data,” The Multidisciplinary International Social Networks Conference, pp. 1-6, 2016. (MISNC 2016, ACM, EI)
17.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “Efficient Mining of Weighted Frequent Itemsets in Uncertain Databases,” International Conference on Machine Learning and Data Mining, pp. 236-250, 2016. (MLDM 2016, LNCS, EI)
18.Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, and Vincent S. Tseng, “EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets,” International Conference on Machine Learning and Data Mining, pp. 199-213, 2016. (MLDM 2016, LNCS, EI)
19.Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, and Ja-Hwung Su “Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds,” Industrial Conference on Data Mining, pp. 14-28, 2016. (ICDM 2016, LNCS, EI)
20.Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong, Thu-Lan Dam, “PHM: Mining Periodic High-Utility Itemsets”, Industrial Conference on Data Mining, pp. 64-79, 2016. (ICDM 2016, LNCS, EI Best Paper Award Nomination)
21.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Efficient Mining of Uncertain Data to Discover High-Utility Itemsets, “The International Conference on Web-Age Information Management, pp. 17-30, 2016. (WAIM 2016, LNCS, EI)
22.Wensheng Gan, Jerry Chun-Wei Lin*, Philippe Fournier-Viger, and Han-Chieh Chao, “More Efficient Algorithm for Mining Frequent Patterns with Multiple Minimum Supports,” The International Conference on Web-Age Information Management, pp. 3-16, 2016. (WAIM 2016, LNCS, EI)
23.Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong, and Thu-Lan Dam, “FHM+: Faster High-Utility Itemset Mining using Length Upper-Bound Reduction,” International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 115-127, 2016. (IEA/AIE 2016, LNCS, EI)
24.Philippe Fournier-Viger, Jerry Chun-Wei Lin, Tai Dinh and Hoai Bac Le, “Mining Correlated High-Utility Itemsets using the Bond Measure,” Hybrid Artificial Intelligence Systems, pp. pp 53-65, 2016. (HAIS 2016, LNCS, EI)
25.Lukas Orcik, Miroslav Voznak, Jan Rozhon, Filip Rezac, Jiri Slachta, Homero Toral-Cruz, and Jerry Chun-Wei Lin, “Prediction of Speech Quality Based on Resilient Backpropagation Artificial Neural Network,” International Conference on Communication, Management and Information Technology, 2016. (ICCMIT 2016, EI)
26.Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, and Miroslav Voznak “Mining of High Average-Utility Itemsets without Candidate Generation,” International Conference on Communication, Management and Information Technology, 2016. (ICCMIT 2016, EI)
27.Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu and Vincent S. Tseng, “Efficient Closed High-Utility Itemset Mining,” ACM/SIGAPP Symposium on Applied Computing, pp. 898-900, 2016. (ACM/SIGAPP SAC 2016, ACM, EI, Best Poster Award Nomination )
28.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “Efficient Algorithms for Mining Recent Weighted Frequent Itemsets in Temporal Transactional Databases,” ACM/SIGAPP Symposium on Applied Computing, pp. 861-866, 2016. (ACM/SIGAPP SAC 2016, ACM, EI)
29.Jerry Chun-Wei Lin, Xianbiao Lv, Philippe Fournier-Viger, Tsu-Yang Wu, and Tzung-Pei Hong, “Efficient Mining of Fuzzy Frequent Itemsets with Type-2 Membership Functions,” The Asian Conference on Intelligent Information and Database Systems, pp. 191-200, 2016. (ACIIDS 2016, LNCS, EI)
30.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “Mining Discriminative High Utility Patterns,” The Asian Conference on Intelligent Information and Database Systems, pp. 219-229, 2016. (ACIIDS 2016, LNCS, EI)
31.Souleymane Zida, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, and Vincent S. Tseng, “Efficient Mining of High-Utility Sequential Rules,” Machine Learning and Data Mining in Pattern Recognition, pp. 157-171, 2015. (MLDM 2015, LNCS, EI, Best Paper Award Nomination)
32.erry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, and Tzung-Pei Hong, “A Fast Algorithm for Mining Fuzzy Frequent Itemsets,” The International Conference on Fuzzy System and Data Mining, Vol. 29(6), pp. 2373-2379, 2015. (FSDM 2015)
33.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Mining Potential High-Utility Itemsets over Uncertain Databases,” ASE BigData & SocialInformatics, Vol. 25, pp. 1-6, 2015. (ASE BD&SI 2015, ACM, EI)
34.Philippe Fournier-Viger, Jerry Chun-Wei Lin, and Prashant Barhate, “Efficient Incremental High Utility Itemset Mining,” ASE BigData & SocialInformatics, Vol. 53, pp. 1-6, 2015. (ASE BD&SI, ACM, EI)
35.Souleymane Zida, Philippe Fournier-Viger, Chun-Wei Lin, Cheng Wei Wu and Vincent S. Tseng, “EFIM: A highly efficient algorithm for high-utility itemset mining,” Mexican International Conference on Artificial Intelligence, pp. 530-546, 2015. (MICAI 2015, LNCS, EI)
36.Raïssa Yapan Dougnon, Philippe Fournier-Viger, Jerry Chun-Wei Lin and Roger Nkambou, “More Accurate User Profile Inference in Online Social Networks,” Mexican International Conference on Artificial Intelligence, pp. 84-99, 2015. (MICAI 2015, LNCS, EI)
37.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Mining High-Utility Itemsets with Various Discount Strategies,” IEEE/ACM International Conference on Data Science and Advanced Analytics, pp. 1-10, 2015. (IEEE/ACM DSAA 2015, IEEE, EI)
38.Y. R. Dougnon, P. Fournier-Viger, Jerry Chun-Wei Lin, and R. Nkambou, “Accurate Online Social Network User Profiling,” German Conference on Artificial Intelligence, pp. 264-270, 2015. (KI 2015, LNCS, EI)
39.Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Jaroslav Frnda, Lukas Sevcik, Miroslav Voznak, “An Evolutionary Algorithm to Mine High-Utility Itemsets,” The Knowledge in Telecommunication Technologies and Optics, vol. 13(4), pp. 392-398, 2015. (KTTO 2015, EI)
40.Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, and Jeng-Shyang Pan, “A Swarm-based Sanitization Approach for Hiding Confidential Itemsets,” The International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 227-230, 2015. (IIHMSP 2015, EI)
41.Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Ming-Thai Wu, Tzung-Pei Hong, and Leon Shyue-Liang Wang, “A Swarm-based Approach to Mine High-Utility Itemsets,” The Multidisciplinary International Social Networks Conference, pp. 572-581, 2015. (MISNC 2015, EI)
42.Eric Ke Wang, Jerry Chun-Wei Lin, Tsu-Yang Wu, Chien-Ming Chen, and Yuming Ye, “Privacy Protection Framework in Social Networked Cars,” The Multidisciplinary International Social Networks Conference, pp. 553-561, 2015. (MISNC 2015, EI)
43.Jerry Chun-Wei Lin, Tsu-Yang Wu, Philippe Fournier-Viger, Guo Lin and Tzung-Pei Hong, “A Sanitization Approach of Privacy Preserving Utility Mining,” The International Conference on Genetic and Evolutionary Computing, pp. 47-57, 2015. (ICGEC 2015, Springer, EI, Best Paper Award)
44.Jaroslav Frnda, Miroslav Voznak, Martin Hlozak, Jiri Slachta, Jerry Chun-Wei Lin, “Application Tool for Prediction and Implementation of QoS in IP Based Network,” The Euro-China Conference on Intelligent Data Analysis and Applications, pp. 143-153, 2015. (ECC 2015, EI)
45.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, “Mining Weighted Frequent Itemsets with the Recency Constraint,” The Asia-Pacific Web Conference, pp. 635-646, 2015. (APWeb 2015, LNCS, EI)
46.Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger and Tzung-Pei Hong, “Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds,” The International C*Conference on Computer Science & Software Engineering, pp. 9-17, 2015. (C3S2E 2015, ACM, EI)
47.Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, and Vincent S. Tseng, “HEWIM: High Expected Weighted Itemset Mining in Uncertain Databases,” The International Conference on Machine Learning and Cybernetics, pp. 439-444, 2015. (ICMLC 2015, EI)
48.Jerry Chun-Wei Lin, Wensheng Gan, and Tzung-Pei Hong, “A Fast Algorithm to Maintain the Discovered High-Utility Itemsets with Modified Records,” IEEE International Conference on System, Man, and Cybernetics, pp. 2573-2578, 2015. (IEEE SMC 2015, IEEE, EI)
59.Tsu-Yang Wu, Jeng-Shyang Pan, Chien-Ming Chen and Chun-Wei Lin, “Towards SQL Injection Attacks Detection Mechanism Using Parse Tree,” The International Conference on Genetic Evolutionary and Computing, pp. 371-380, 2015. (ICGEC 2015, EI)

任教和任导师经历

  哈尔滨工业大学 (深圳) 博士研究生 - 【协助指导】

[3] 甘文生 (2016/03-至今) 导师为赵涵捷特聘教授,研究领域:数据挖掘与大数据分析
# 学业:

[2] 陈 鹏 (2010/09-2015/10) 导师为潘正祥特聘教授,研究领域:数据挖掘的隐私保护
# 学业:5篇SCI期刊论文,5篇EI会议论文 (毕业去向:就职于国内某高校)

[1] 赵 鸣 (2011/02-2015/07) 导师为潘正祥特聘教授,研究领域:群体智能算法
# 学业:2篇SCI与2篇EI期刊论文,3篇EI会议论文 (毕业去向:就职于国内某高校)



哈尔滨工业大学 (深圳) 硕士研究生 - 【指导】

[8] 邵轶男 (2016/09-至今) 本科毕业于上海财经大学, 研究领域:数据挖掘与大数据分析
# 学业:

[7] 张瑜钰 (2016/09-至今) 本科毕业于合肥工业大学, 研究领域:数据挖掘的隐私保护
# 学业:

[6] 张杰雄 (2015/09-至今) 本科毕业于福州大学 (推免生), 研究领域:数据挖掘
# 学业:1篇EI会议论文, 哈尔滨工业大学特等奖学金等

[5] 任师峰 (2015/09-至今) 本科毕业于青岛理工大学, 研究领域:数据挖掘
# 学业:1篇SCI期刊论文,1篇EI会议论文

[4] 李 霆 (2014/09-2016/12) 本科毕业于西北工业大学, 研究领域:数据挖掘
# 学业:3篇SCI期刊论文,3篇EI会议论文 (毕业去向:华为深圳)

[3] 刘乾坤 (2014/09-2016/12) 本科毕业于辽宁科技大学, 研究领域:数据挖掘的隐私保护
# 学业:2篇SCI与1篇EI期刊论文,2篇EI会议论文 (毕业去向:华为深圳)

[2] 杨 璐 (2014/09-2016/12) 本科毕业于曲阜师范大学, 研究领域:数据挖掘与群体智能算法
# 学业:3篇SCI与1篇EI期刊论文,4篇EI会议论文 (毕业去向:百合音乐北京)

[1] 甘文生 (2013/09-2015/12) 本科毕业于华南师范大学 (推免生), 研究领域:数据挖掘
# 学业:10余篇SCI期刊论文,10余篇EI会议论文 (毕业去向:推荐攻博)
曾获哈工大第七届“十佳英才”提名奖,黑龙江省三好学生,哈工大优秀毕业生(金奖)、优秀毕业论文、三好学生和特等奖学金等



国立高雄大学 硕士研究生 - 【协助指导】

许宏全 (2011-2013) 研究领域:隐私保护数据挖掘
# 学业:SCI 期刊1篇,2篇会议论文 (台湾网路智能学会最佳硕士论奖)

林宗庆 (2009-2011) 研究领域:利用树状结构探勘完整语意项目集
# 学业:SCI 期刊3篇,会议论文5篇

张家境 (2009-2011) 研究领域:透过交易修改来隐藏敏感的频繁项目集
# 学业:1篇 EI期刊,2篇会议论文 (台湾网路智能学会最佳硕士论奖)

杨国栋 (2008-2010) 研究领域:应用于隐私保护数据探勘之启发性方法
# 学业:3篇SCI和1篇 EI期刊,4篇会议论文


国立中山大学 硕士研究生 - 【协助指导】

翁嘉蔚 (2010-2012) 研究领域:高效益数据挖掘与隐私保护
# 学业:3篇SCI和1篇 EI期刊,3篇会议论文


国立成功大学 硕士研究生 - 【协助指导】

陈欣怡 (2009-2011) 研究领域:准大快速循序样式树之维护
# 学业:1篇SCI期刊论文,4篇EI会议论文


全日制硕士课程 《物联网导论与应用》,32学时 (2014春, 2015春, 2015秋, 2016秋)   
全日制本科课程 《计算机语言程序与设计》,48学时 (2015秋)  
非全日制, 工程硕士课程 《物联网导论与应用》,32学时 (2016春)   
非全日制, 工程硕士专题课 《工程硕士专题课》,4学时 (2015春, 2016春)   
  
  
  
  
最后更新:2017-10-23 13:19:03