姓名：廉涛
职称：讲师
邮箱：liantao [at] tyut [dot] edu [dot] cn
研究领域：推荐系统、数据挖掘与分析
从事专业：数据科学与大数据技术、人工智能
工作经历
2018/9—至今 全球最大的赌钱网(中国)有限公司 讲师
教育经历
2011/9—2018/6 山东大学计算机科学与技术专业 工学博士 导师：马军 教授
2007/9—2011/6 山东大学计算机科学与技术专业 工学学士
科研项目
w 国家自然科学基金委员会，青年项目(62102279)，在研，主持
w 山西省教育厅，高等学校科技创新项目(2020L0102)，在研，主持
w 横向课题：山西银行金融大数据技术服务，在研，参加
w 横向课题：晋中银行智能信贷系统风控建模，已结题，参加
w 国家自然科学基金委员会，面上项目(61672322)，已结题，参加
w 国家自然科学基金委员会，面上项目(61272240)，已结题，参加
学术论文
2022
[20] Zerun Fu#, Tao Lian#*, Yuanyuan Yao, Wen Zheng. MulSimNet: A Multi-branch Sub-interest Matching Network for Personalized Recommendation. Neurocomputing, 2022, 495: 37--50. (# co-first authors; * corresponding author)
2021
[19] Lin Liu, Li Wang, Tao Lian. Discovering Proper Neighbors to Improve Session-based Recommendation. ECML PKDD 2021, 353--369.
[18] Lin Liu, Li Wang, Tao Lian. CaSe4SR: Using Category Sequence Graph to Augment Session-Based Recommendation. Knowledge-Based Systems, 2021, 212: 106558.
[17] 郝宵荣, 王莉, 廉涛. 基于节点表示和子图结构的动态网络链接预测. 模式识别与人工智能, 2021, 34(2): 117--126.
[16] Yuhang Wang, Li Wang, Yanjie Yang, Tao Lian. SemSeq4FD: Integrating Global Semantic Relationship and Local Sequential Order to Enhance Text Representation for Fake News Detection. Expert Systems with Applications, 2021, 166: 114090.
2020
[15] Xiaorong Hao#, Tao Lian#, Li Wang. Dynamic Link Prediction by Integrating Node Vector Evolution and Local Neighborhood Representation. SIGIR 2020, 1717--1720. (# co-first authors)
[14] Tao Lian, Lin Du, Mingfu Zhao, Chaoran Cui, Zhumin Chen, Jun Ma. Evaluating and Improving the Interpretability of Item Embeddings Using Item-Tag Relevance Information. Frontiers of Computer Science, 2020, 14(3): 143603.
2019
[13] Chaoran Cui, Huihui Liu, Tao Lian, Liqiang Nie, Lei Zhu, Yilong Yin. Distribution-Oriented Aesthetics Assessment with Semantic-Aware Hybrid Network. IEEE Transactions on Multimedia, 21(5): 1209--1220.
2018
[12] Tao Lian, Zhumin Chen, Yujie Lin, Jun Ma. Temporal Patterns of the Online Video Viewing Behavior of Smart TV Viewers. Journal of the Association for Information Science and Technology, 2018, 69(5): 647--659.
2017
[11] Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian, Jun Ma. Neural Attentive Session-based Recommendation. CIKM 2017, 1419--1428. Best Full Paper Runner-up Award.
[10] Tao Lian, Zhumin Chen, Yujie Lin, Jun Ma. Understanding the Pulse of the Online Video Viewing Behavior on Smart TVs. SMP 2017: Communications in Computer and Information Science, 774: 331--342.
[9] Tao Lian, Zhengxian Li, Zhumin Chen, Jun Ma. The Impact of Profile Coherence on Recommendation Performance for Shared Accounts on Smart TVs. CCIR 2017: Lecture Notes in Computer Science, 10390: 30--41.
[8] Kai-Yuan Cui, Peng-Jie Ren, Zhu-Min Chen, Tao Lian, Jun Ma. Relation Enhanced Neural Model for Type Classification of Entity Mentions with a Fine-Grained Taxonomy. Journal of Computer Science and Technology, 2017, 32(4): 814--827.
[7] Chaoran Cui, Jialie Shen, Jun Ma, Tao Lian. Social Tag Relevance Learning via Ranking-Oriented Neighbor Voting. Multimedia Tools and Applications, 2017, 76(6): 8831--8857.
2015
[6] Chaoran Cui, Jialie Shen, Jun Ma, Tao Lian. Social Tag Relevance Estimation via Ranking-Oriented Neighbour Voting. MM 2015, 895--898.
[5] Chaoran Cui, Jun Ma, Tao Lian, Zhumin Chen, Shuaiqiang Wang. Improving Image Annotation via Ranking-Oriented Neighbor Search and Learning-Based Keyword Propagation. Journal of the Association for Information Science and Technology, 2015, 66(1): 82--98.
2014
[4] Di Wang, Jun Ma, Tao Lian, Lei Guo. Recommendation Based on Weighted Social Trusts and Item Relationships. SAC 2014, 2014, 254--259.
[3] 廉涛, 马军, 王帅强, 崔超然. LDA-CF: 一种混合协同过滤方法. 中文信息学报, 2014, 28(2): 129--135,150.
2013
[2] Chaoran Cui, Jun Ma, Tao Lian, Xiaofang Wang, Zhaochun Ren. Ranking-Oriented Nearest-Neighbor Based Method for Automatic Image Annotation. SIGIR 2013, 957--960.
2012
[1] Chaoran Cui, Jun Ma, Shuaiqiang Wang, Shuai Gao, Tao Lian. Semantically Coherent Image Annotation with a Learning-Based Keyword Propagation Strategy. CIKM 2012, 2423--2426.
课程教学
w 数据结构与算法，2020秋/2021秋
w 大数据挖掘与分析，2018秋
w 大数据应用实战，2019春
w 大数据可视化实训，2019夏/2020夏/2021秋
w 深度学习实训，2021夏
w 程序设计实训，2021秋
w 数据科学与大数据技术专业认知实习，2020夏/2021夏
科技竞赛
w 指导本科生参加中国电子学会主办的第四届全国大学生大数据分析与挖掘竞赛，获得全国三等奖，2020
w 指导本科生参加中国科学院计算技术研究所主办的社交网络反欺诈系列挑战赛任务一虚假注入，获得三等奖，2020
w 指导本科生参加教育部高等学校统计学类专业教学指导委员会和中国商业统计学会共同主办的第十一届全国大学生市场调查与分析大赛，获得山西选拔赛三等奖，2021
w 指导本科生参加中国电子学会主办的第五届全国大学生大数据分析与挖掘竞赛，获得华北赛区一等奖，2021
