学术论文: |
代表性论文如下:
[1]Yingji Li, Mengnan Du, Xin Wang, Ying Wang(王英, 通讯作者). Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases[C]. In Proceedings of the Annual Meeting of the Association for Computational Linguistics(ACL), 2023.(澳门永利最老登录入口D, CCF A类)
[2]Mingchen Sun, Kaixiong Zhou, Xin He, Ying Wang(王英, 通讯作者), Xin Wang. GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks[C]. In Proceedings of the 28th Conference on Knowledge Discovery and Data Mining(KDD), 2022, pp1717-1727. (澳门永利最老登录入口D, CCF A类) [3]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang(王英, 通讯作者). Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion[C]. In Proceedings of the International World Wide Web Conference(WWW), 2021, pp1737-1748. (澳门永利最老登录入口D,CCF A类) [4]Xin Wang, Ying Wang(王英, 通讯作者), Yunzhi Ling. Attention Guide Walk Model in Heterogeneous Information Network for Multi-style Recommendation Explanation[C]. In Proceedings of the 34th AAAI Conference on Artificial Intelligence(AAAI), 2020, pp6275-6282. (澳门永利最老登录入口C,CCF A 类) [5]Yu Li, Ying Wang(王英, 通讯作者), Tingting Zhang, Jiawei Zhang, Yi Chang. Learning Network Embedding with Community Structural Information[C]. IJCAI, 2019, pp2937-2943. (澳门永利最老登录入口D,CCF A类) [6]Ying Wang(王英)#, Xin Wang, Jiliang Tang, WanliZuo. Modeling Status Theory in Trust Prediction[C]. In Proceedings of the 29th AAAI Conference on Artificial Intelligence(AAAI), 2015, Austin, Texas, USA, pp1875-1881, 2015.1.25-1.29. (澳门永利最老登录入口C , CCF A类) [7]Xin Wang, Ying Wang(王英, 并列一作), Wanli Zuo. Exploring Social Context for Topic Identification in Short and Noisy Text[C]. In Proceedings of the 29th AAAI Conference on Artificial Intelligence(AAAI), 2015, Austin, Texas, USA, pp1868-1874, 2015.1.25-1.29. (澳门永利最老登录入口C , CCF A类) [8]Xianglin Zuo, Hao Yuan, Bo Yang, Hongji Wang, Ying Wang(王英, 通讯作者). Exploring Graph Capsual Network and Graphormer for Graph Classification[J]. Information Sciences, 2023, 640: 1-17.(澳门永利最老登录入口D,中科院一区) [9]Xianduo Song, Xin Wang, Yuyuan Song, Xianglin Zuo, Ying Wang(王英, 通讯作者). Hierarchical Recurrent Neural Networks for Graph Generation[J]. Information Sciences, 2022, 589: 250-264. (澳门永利最老登录入口D,中科院一区) [10]Siyuan Guo, Ying Wang(王英,学生一作,导师二作), Hao Yuan, Zeyu Huang, Jianwei Chen, Xin Wang. TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network[J]. Information Sciences, 2021, 567, pp185-200. (澳门永利最老登录入口D,中科院一区) [11]Ying Wang(王英) #, Hongji Wang, Hui Jin, Xinrui Huang, Xin Wang. Exploring Graph Capsual Network for Graph Classification[J]. Information Sciences, 2021, 581, pp932-950. (澳门永利最老登录入口D,中科院一区) [12]Yunzhi Ling, Ying Wang(王英, 通讯作者), Xin Wang, Yunhao Ling. Exploring Common and Label-Specific Features for Multi-Label Learning with Local Label Correlations, IEEE Access, 2020, 8: 50969-50982. (中科院二区) [13] Mengmeng Wang, Wanli Zuo, Xin Wang, Ying Wang(王英, 通讯作者). An Improved Density Peaks-based Clustering Method for Social Circle Discovery in Social Networks[J]. Neurocomputing, 2016, 179: 219-227. (中科院二区, CCF C类IF: 2.083) [14]Ying Wang(王英)#, Xin Wang, Wanli Zuo. Research on Trust Prediction from a Sociological Perspective[J]. Journal of Computer Science and Technology(JCST), 2015, 30(4): 843-858. (中科院三区,CCF B类, IF: 0.672) [15]Ying Wang(王英) #, Mingchen Sun, Hongji Wang, Yudong Sun. Research on Knowledge Graph Completion Model Combining Temporal Convolutional Network[J]. Mathematical Problems in Engineering, 2022, 1-13.(中科院三区) [16]Ying Wang(王英) #, Xin He, Hongji Wang, Yudong Sun, Xin Wang. Fast Explainable Recommendation Model by Combining Fine grained Sentiment in Review Data[J]. Computational Intelligence and Neuroscience, 2022, 1-18.(中科院三区) [17]Xianglin Zuo, Tianhao Jia, Xin He, Bo Yang, Ying Wang(王英, 通讯作者). Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks[J]. Entropy, 2022, 24(1718): 1-19.(中科院三区) [18]Ying Wang(王英)#, Huilai Li, Wanli Zuo, Fengling He, Xin Wang, Kerui Chen. Research on Discovering Deep Web Entries. Computer Science and Information Systems, 2011.06, 8(3): 779-799. (中科院三区, IF:0.642) [19]Xin Wang, Ying Wang(王英, 通讯作者), Jianhua Guo. Building Trust Networks in the Absence of Trust Relations[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(10): 1591-1600. (中科院三区, IF: 0.622) [20]Xin Wang, Ying Wang(王英, 通讯作者), Hongbin Sun. Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust[J]. Computational Intelligence and Neuroscience, 2016, 5403105: 1-12. (中科院三区, IF:0.596) [21]Mengmeng Wang, Wanli Zuo, Ying Wang(王英, 通讯作者). A Multidimensional Nonnegative Matrix Factorization Model for Retweeting Behavior Prediction[J]. Mathematical Problems in Engineering, 2015, 936397: 1-10. (中科院四区, IF:1.082) [22]Mengmeng Wang, Wanli Zuo, Ying Wang(王英, 通讯作者). A Novel Adaptive Conditional Probability-based Predicting Model for User’s Personality Traits[J]. Mathematical Problems in Engineering, 2015, 472917: 1-14. (中科院四区, IF: 1.082) [23]Mengmeng Wang, Wanli Zuo, Ying Wang(王英, 通讯作者). A Multi-layer Naive Bayes Model for Analyzing User’s Retweeting Sentiment Tendency[J]. Computational Intelligence and Neuroscience, 2015, 510281: 1-11. (中科院四区, IF:0.596) [24]Fuyuan Ma, Wenqi Chen, Minhao Xiao, Xin Wang, Ying Wang(王英, 通讯作者). Explanation Chains Model Based on the Fine-Grained Data[C]. NLPCC 2019. (CCF C类会议) [25]沈鹏飞, 徐臻, 闫论, 王英(通讯作者). 基于嵌套生成对抗学习的网络嵌入[J]. 电子学报, 2022. (CCF中文A类) [26]吴越, 王英(通讯作者), 王鑫, 徐正祥, 李丽娜. 基于超图卷积的异质网络半监督节点分类[J]. 计算机学报, 2021, 44(11): 2248-2260. (CCF中文A类) [27]孙小婉, 王英(通讯作者), 王鑫, 孙玉东. 面向双注意力网络的特定方面情感分析模型[J]. 计算机研究与发展, 2019, pp2384-2395. (CCF中文A类) [28]王鑫, 王英(通讯作者), 左万利. 基于交互意见和地位理论的符号网络链接预测模型研究[J]. 计算机研究与发展, 2016(4): 764-775. (CCF中文A类) [29]王萌萌,左万利, 王英(通讯作者).基于加权非负矩阵分解的链接预测算法[J],电子学报,2016. (CCF中文A类) [30]王萌萌,左万利, 王英(通讯作者). 一种基于加权非负矩阵分解的多维用户人格特质识别算法[J], 计算机学报, 2016. (CCF中文A类) [31]王英#,王鑫,左万利. 基于社会学理论的信任关系预测模型研究[J]. 软件学报, 2014, 25(12): 2893-2904. [32]赵秋月,左万利,田中生,王英(通讯作者). 一种基于改进D-S证据理论的信任关系强度评估方法研究[J]. 计算机学报, 2014.04, 37(4): 873-883. (CCF中文A类) [33]王英#, 左祥麟, 左万利, 王鑫. 基于本体的Deep Web查询接口集成[J]. 计算机研究与发展, 2012.11, 49(11): 2383-2394. (CCF中文A类) ----------------------------------------------- 教研论文: [1]王英,王鑫,左万利. 操作系统课程改革的启发和思考,计算机教育,2017. -----------------------------------------------
申请发明专利10项: [1]王英, 孙小婉, 王鑫, 孙玉东, 于尤婧, 凌云志, 马涪元. 基于混合注意力网络的细粒度情感极性预测方法. 专利号: ZL 2019 1 0333298.0, 授权公告日: 2023.6.9. [2]王英, 杨伟英, 王鑫, 左万利, 贾天浩, 郝琳琳. 基于超图卷积的超边链接预测方法. 专利号:ZL 2020 1 1276695.8,授权公告日:2022.7.1. [3]王英, 贾天浩, 王鑫, 左万利, 杨伟英, 左祥麟. 一种融合异质信息网络的可解释推荐方法. 专利号:ZL 2020 1 1276253.3, 授权公告日:2022.9.16.[4]王英,孙玉东,王鑫,李畅,于尢婧,孙小婉,凌云志,马涪元. 面向细粒度情感的可解释推荐模型. 专利号:ZL 2019 1 0333302.3,授权公告日:2021.11.19. [5]王英,马涪元,王鑫,孙玉东,陈文祺,肖旻昊. 基于细粒度数据的可解释商品推荐方法. 专利号:ZL 201910333300.4,授权公告日:2021.9.24. [6]王英,左万利,王萌萌,王鑫, 彭涛. 基于最低阈值的用户个人品性多标记预测方法. 专利号:ZL 2014 1 0081840.5, 授权公告日: 2019.4.16. [7]王英,左万利,田中生,王鑫,彭涛,王萌萌,赵秋月. 基于前馈神经网络的可信与不可信用户识别方法,专利号:ZL 2013 1 0547349.2,授权公告日:2016.10.5. [8]左祥麟,杨博, 范利云, 左万利, 王俊华, 王英, 王泊, 郑慧中. 基于证据理论的网络质量评价方法.专利号:ZL 2016 1 0280055.1, 授权公告日:2018.5.15. [9]尚靖博,左祥麟,左万利,王英. 利用模糊理论对欺诈网页识别的方法,专利号:ZL 201611046454.8,授权公告日: 2018.9.5. [10]左万利,赫枫龄,王俊华,王鑫,凤丽洲,王英,彭涛,万海旭,苏雪阳,高宁宁,闫昭,张雪松. 基于本体的情境搜索方法,专利号:ZL 2012 1 0575284.8,授权公告日:2016.1.6. -----------------------------------------------
申请软件著作权4项: [1]基于机器学习的数据诊断系统V1.0, 2021
[2]大规模异质信息网络摘要可解释性研究平台V1.0, 2020 [3]政府政务新媒体校内评估可视化显示平台V1.0, 2020 [4]深度网搜索软件(V1.0), 2012.12, 中国, 登记号: 2013SR020480. |
获奖情况: |
[1] 王英,王鑫,左祥麟,左万利,李丽娜,李莹姬,马涪元,王俊华,异质社会网络分析与应用研究,中国商业联合会科技进步三等奖,2021. [2] 左万利,王英,彭涛,赫枫龄等,社会化搜索技术与软件,中国商业联合会科技进步二等奖,2017. [3] 左万利,王英,彭涛,赫枫龄,陈珂锐,王鑫,王萌萌,岳琳. 基于主题爬行和本体的Deep Web 搜索, 吉林省人民政府, 吉林省科技进步奖, 三等奖, 2015. [4] 左万利,王英,彭涛,赫枫龄. 基于主题爬行和本体的Deep Web 搜索, 吉林省科技进步三等奖, 2015. [5] 左万利, 彭涛, 王英, 赫枫龄, 陈珂锐, 张邦佐, 罗娜, 王俊华, 王鑫, 凤丽洲, 岳琳, 深度网搜索技术的研究与应用, 中国商业联合会, 中国商业联合会科学技术三等奖, 省部级, 2013. [6] 房至一, 曲冠南, 赵辉, 轩景泉, 张云春, 张剑飞, 王英, 戴志明, 王瑞娟. 基于Linux集群的汽车零部件产业协同服务平台的研究与应用, 中国商业联合会, 中国商业联合会科学技术奖全国商业科技进步三等奖, 2011. [7] 房至一, 轩景泉, 赵辉, 张云春, 王英, 曲冠南, 张剑飞, 戴志明, 王瑞娟, 焦雪, 丛士佺, 张丹, 张美文. 汽车零部件协同设计与制造相关技术研究与应用,吉林省科学技术进步二等奖, 2009. [8] 左万利, 赵东范, 闫昭, 董立岩, 刘兆军, 彭涛, 王英. 《操作系统》课程持续性教学改革与建设, 吉林省教学成果三等奖, 2014.02. [9] 左万利, 赵东范, 闫昭, 董立岩, 刘兆军, 彭涛, 王英. 《操作系统》课程持续性教学改革与建设, 澳门永利最老登录入口教学成果一等奖, 2013.07. |