钱文彬，博士，1984年10月生，江西省金牌教师（教学名师），77779193永利官网院长、首批青年教授、未来之星、硕士生导师。2023年入选江西省大数据专家，2021年入选江西省数字乡村建设发展领域专家。江西省一流本科课程负责人，获江西省第二届高校青年教师教学竞赛“二等奖”。入选江西省（省委组织部）高层次人才服务团，2020年-2021年任宜春市大数据发展管理局党组成员、副局长；担任国际SCI期刊《Journal of Intelligent and Fuzzy Systems》副主编，国家自然科学基金项目通讯评审专家，中国人工智能学会粒计算与知识发现专委会委员，江西省计算机学会人工智能与应用专委会委员。作为项目负责人，主持国家自然科学基金项目3项和江西省自然科学基金项目3项等10余项课题；作为学术骨干，参与国家重点研发计划项目2项。研究成果以第一作者或通讯作者在CCF推荐的国际权威SCI刊物IEEE TKDE、TNNLS和Information Fusion等上发表学术论文50余篇，其中SCI一区TOP期刊论文20余篇，研究成果多次被国际IEEE Trans等权威刊物借鉴和引用，已授权国家发明专利和实用新型专利10余项。

指导学生参加各类大数据分析和人工智能等学科竞赛，蝉联全国高校大数据应用创新大赛全国总决赛“一等奖”，获数字中国创新大赛总决赛“一等奖”，全国大学生大数据技能竞赛“特等奖”，第十八届“挑战杯”江西省大学生课外学术科技作品竞赛“自然科学二等奖”，阿里天池大数据竞赛“第二名”，第五届全国高校计算机能力挑战赛(人工智能挑战赛)总决赛“一等奖”，多次获全国软件和信息技术专业人才大赛全国总决赛“二等奖”等多项全国性和省级竞赛荣誉。获江西农业大学“三育人先进个人”、“先进共产党员”、“教学成果一等奖”等荣誉，指导学生多次获得国家级创新创业训练计划项目资助。作为硕士生导师，已指导研究生20余名，培养的研究生先后连续多年获得国家奖学金、江西省政府奖学金和学业奖学金等奖励，多次获得江西省研究生数学建模竞赛特等奖和一等奖，多人录取为澳门大学、南京大学、暨南大学、南京理工大学和华南师范大学等双一流高校的博士研究生。

联系方式：

电子邮箱：qianwenbin1027@126.com

QQ号：172944819

研究方向

1.大数据挖掘

2.多标记学习

3.智慧农业

4.知识发现

代表性论文

[1]         Wenbin Qian, Yanqiang Tu, Jintao Huang, Wenhao Shu and Yu.-Ming Cheung, Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction, IEEE Transactions on Neural Networks and Learning Systems, (SCI一区TOP刊物, IF=10.4).

[2]         Wenbin Qian, Yihui Li, Qianzhi Ye, Weiping Ding, Wenhao Shu. Disambiguation-based partial label feature selection via feature dependency and label consistency, Information Fusion, 94: 152-168, 2023 (SCI一区TOP刊物，IF=18.6).

[3]         Wenbin Qian, Jintao Huang, Fankang Xu, Wenhao Shu, Weiping Ding. A survey on multi-label feature selection from perspectives of label fusion. Information Fusion, 100: 101948, 2023 (SCI一区TOP刊物，IF=18.6).

[4]         Wenbin Qian, Yinsong Xiong, Weiping Ding, Jintao Huang. Label correlations-based multi-label feature selection with label enhancement. Engineering Applications of Artificial Intelligence, 2023. (SCI一区TOP刊物).

[5]         Jintao Huang, Wenbin Qian*, Chi-Man Vong, Weiping Ding. Multi-label feature selection via label enhancement and analytic hierarchy process, IEEE Transactions on Emerging Topics in Computational Intelligence, 7(5): 1377-1393, 2023. (SCI二区)

[6]         Wenbin Qian, Yanqiang Tu, Jin Qian, Wenhao Shu. Partial multi-label learning via three-way decision-based tri-training. Knowledge-Based Systems, 276: 110743, 2023 (SCI一区TOP刊物).

[7]         Wenbin Qian, Fankang Xu, Jintao Huang, Jin Qian. A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning. Knowledge-Based Systems, 278: 110898, 2023 (SCI一区TOP刊物).

[8]         Wenbin Qian, Fankang Xu, Jin Qian, Wenhao Shu, Weiping Ding. Multi-label feature selection based on rough granular-ball and label distribution. Information Sciences, 650: 119698, 2023(SCI一区TOP刊物).

[9]         Mingfeng Zha, Yunqiang Pei, Guoqing Wang, Tianyu Li, Yang Yang, Wenbin Qian, Hengtao Shen. Weakly-Supervised Mirror Detection via Scribble Annotations, Association for the Advancement of Artificial Intelligence, AAAI 2024 (CCF A类会议，人工智能国际学术顶会).

[10]     Jintao Huang, Chi-Man Vong, Guangtai Wang, Wenbin Qian, Yimin Zhou. Joint Label enhancement and label distribution learning via stacked graph regularization- based polynomial broad learning system. IEEE Transactions on Fuzzy Systems. 31(9): 3290-3304, 2023 (SCI一区TOP刊物).

[11]     Jintao Huang, Chi-Man Vong, Wenbin Qian, Qin Huang, Yimin Zhou. Online Label Distribution Learning Using Random Vector Functional-Link Network. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(4): 1177-1190, 2023.(SCI二区)

[12]     Wenbin Qian, Yinsong Xiong, Jun Yang, Wenhao Shu. Feature selection for label distribution learning via feature similarity and label correlation. Information Sciences, 582: 38-59, 2022 (SCI一区TOP刊物).

[13]     Wenbin Qian, Chuanzhen Xiong, Yuhua Qian. Label enhancement-based feature selection via fuzzy neighborhood discrimination index. Knowledge-Based Systems, 250: 109119, 2022 (SCI一区TOP刊物).

[14]     Wenbin Qian, Qianzhi Ye, Yihui Li, Jintao Huang, Shiming Dai. Relevance-based label distribution feature selection via convex optimization, Information Sciences, 607: 322-345, 2022 (SCI一区TOP刊物).

[15]     Wenbin Qian, Qianzhi Ye, Yihui Li, Shiming Dai. Label distribution feature selection with feature weights fusion and local label correlations, Knowledge-Based Systems, 256: 109778, 2022 (SCI一区TOP刊物).

[16]     Mingfeng Zha, Wenbin Qian*, Wenji Yang, Yilu Xu: Multifeature Transformation and Fusion-Based Ship Detection With Small Targets and Complex Backgrounds. IEEE Geoscience and Remote Sensing Letters,19: 1-5, 2022. (SCI二区)

[17]     Chuanzhen Xiong, Wenbin Qian*, Yinglong Wang. Feature selection based on label distribution and fuzzy mutual information. Information Sciences, 574: 297- 319, 2021 (SCI一区TOP刊物).

[18]     Wenbin Qian, Jintao Huang, Yinglong Wang: Mutual information-based label distribution feature selection for multi-label learning. Knowledge-Based Systems, 195: 105684, 2020 (SCI一区TOP刊物).