[1] Multi-contrastive Learning Recommendation Combined with Knowledge Graph”. 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia: IEEE, Jun. 2023, pp. 01–08. (通讯作者) [2] Multi-Scale Attentive Feature Fusion Network for Single Image Dehazing. 2022 International Joint Conference on Neural Networks (IJCNN 2022). Proceedings of the International Joint Conference on Neural Networks, Vol.2022-July (1), Padua(通讯作者) [3] Treating Crowdsourcing as Examination: How to Score Tasks and Online Workers? Data Mining and Machine Learning, 3rd International Conference on Data Mining and Machine Learning (DMML 2022) April 23~24, 2022, Copenhagen, Denmark. Volume 12(07), April 2022.(通讯作者) [4] DSMCA: Deep Supervised Model with The Channel Attention Module for Cross-modal Retrieval[C]. The 5th International Conference on Data Storage and Data Engineering. 2022.2, Sanya, China. (通讯作者) [5]基于矩阵填充与改进PSO算法的多标准协同过滤[J]. 计算机工程, 2019, 45(12): 176-181,200. (通讯作者) [6] Multi-criteria Collaborative Filtering Based on Matrix Filling[C].2018 IEEE 4th ICCC, 2018:2553-2558. (通讯作者) [7] Malicious Website Detection Based on URLs Static Features. 2018 International Conference on Modeling, Silulation and Optimization (MSO2018). DOI:10.12783/dtcse/mso2018/20499: 307-313(第一作者) [8] A Group Recommendation Algorithm Based on Group Members' Weights and Project Popularity. 2017 2nd Joint International Information Technology,Mechanical and Electronic Engineering Conference (JIMEC 2017) (通讯作者) [9] Collaborative Filtering Recommendation Based on Trust Model with Fused Similar Factor. International Conference on Mechanical, Electronic and Information Technology Engineering. 2017. (通讯作者) [10] Course Reform for Developing Computational Thinking Ability of Tip-top Talents. 2014 International Conference on Computer, Communications and Information Technology(CCIT 2014),pp:81-83. (第一作者) [11]面向职业能力培养的计算机通选课教学改革与实践. 计算机教育,2013年第11期。(第一作者) [12] Identification of Deep Web Entries by Using Neural Network, Lecture Notes in Electrical Engineering, 2012, Vol.100, Part 8, pp. 560 ~ 565.((第一作者)) [13] Deep Web Classification based on Domain Feature Text. IJACT : International Journal of Advancements in Computing Technology, 2011, Vol. 3, No. 6, pp. 267 ~ 275.((第一作者)) [14] Vision-based Label Extraction and Matching. Advanced Materials Research, 2012, Vol. 459. pp. 155 ~ 160. (第一作者) [15]基于领域特征文本的Deep Web分类研究. 计算机科学. 2012,Vol.39(4):177-180(第一作者) [16] 一种有效的深网入口识别方法. 计算机科学. 2011, Vol.38, No.10, pp. 199 ~ 201,230(第一作者) [17]高校非计算机专业员工计算机创新能力培养模式研究.西南师范大学学报:自然科学版. 2011, Vol.36, No.5. (第一作者) [18]一种解决BP 网络过拟合的学习算法,bet体育365官网正规学报:自然科学版,2008,Vol.130, No.11, pp.139 ~ 142. (第一作者) [19]一种基于UML扩展的AO建模方法.计算机科学.2004,Vol.31(12),pp:196-201. (第一作者) [20]基于AOP的安全程序设计,重庆大学学报(自然科学版),2004,Vol.27(11),pp:39-42(第一作者)
近年来主持和主研的项目: 1.2023-2025, 主持校级重点教改项目“融合创新能力培养的大学计算机课程思政新模式探索与实践”(2023JY008) 2.2020-2022,主持校级教改项目““大学计算机基础”课程思政建设初探”(2020JY030) 3.2016-2017,主持含弘学院专项项目” 含弘学院信息素养类课程建设与改革”(2015JY202) 4.2013-2015,主持校级重点教改项目“面向多元需求的计算机公共基础课数字化共享资源建设”(2013JY013) 5.2012-2014,主持含弘学院专项项目“面向计算思维能力培养的拔尖创新人才课程建设与实践”(项目号:2012JY204) 6. 2012.7-2015.7,主持bet体育365官网正规博士基金项目“Deep Web语义搜索关键技术研究” (SWU112017) 7.2011-2013,主持校级教改项目“面向职业能力培养的计算机类通选课教学方法研究”(2011JY028) 8. 2010-2013主持bet体育365官网正规中央科研业务费专项资金项目“Deep Web信息获取关键技术研究”(项目号:XDJK2010C033) 9.2009-2011,主持校级教改项目“高校非计算机专业员工计算机创新能力培养模式研究”(2009JY040) 10. 2009-2012,主研重庆市自然科学基金项目:Deep Web数据获取技术研究(项目号:CSTC2009BB2126)
教材编写情况: (1) MATLAB2013实用教程,高等教育出版社,2014.08(第四主编) (2)大学计算机基础实践教程,高等教育出版社,2014.09(第四主编) (3)网页制作与网站建设基础教程,西南师范大学出版社,2008.6 (第一主编) (4) 计算机实用技术教程,电子工业出版社,2007.6(第二主编)
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