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王琪

发布时间:2021-09-28点击:

 

基本情况

姓名:

王琪

 

 

性别:

职称:

助理教授

是否博导:

最高学历:

研究生

最高学位:

博士

电话:

 

Email

qi.wang20@hdr.mq.edu.au

 

详细情况

所在学科专业:

计算机科学与技术

所研究方向:

数据挖掘, 社交网络分析, 图挖掘, 社会推荐

讲授课程:

暂无

教育经历:

2018.02-2021.05 澳大利亚麦考瑞大学 计算机系

2014.09-2017.06   吉林大学 计算机科学与技术学院

2010.09-2014.06   吉林大学 计算机科学与技术学院

工作经历:

科研项目:

学术论文:

博士共三年零三个月, 已发表:

[1]   Wang Qi, Zhao W, Yang J, Jia W, Shan X, Qianli Xing, Philp S. Yu.    C-DeepTrust: A Context-aware Deep Trust Prediction Model in Online Social   Networks. IEEE Transactions on Neural Networks and Learning Systems (TNNLS),   2021. Full paper, Accepted. CORE Rank A*, JCR: Q1, IF= 10.451, CCF B.

[2]   Wang Qi, Zhao W, Yang J, Jia W, Chuan Zhou, Qianli Xing.  AtNE-Trust:   Attributed Trust Network Embedding for Trust Prediction in Online Social   Networks. IEEE International Conference on Data Mining (ICDM), Sorrento, Italy,   November, 2020. Full paper, CORE Rank A*, CCF B, Acceptance Rate: 9. 81%.

[3]   Wang Qi, Zhao W, Yang J, Jia W, Wenbin H, Qianli Xing. DeepTrust: A Deep User   Model of Homophily Effect for Trust Prediction. IEEE International Conference   on Data Mining (ICDM), Beijing, China, November, 2019. Full paper, CORE Rank   A*, CCF B, Acceptance Rate: 9.08%.

[4]   Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, and Qi Wang. TWLR: A Novel   Truth Inference Approach based on Worker Representations for Crowdsourcing in   the Low Redundancy Situation, IEEE International Conference on Web Services   (ICWS), Virtual, September, 2021. Full paper, CORE Rank A, CCF B, Acceptance   Rate: 23.7%.

[5]   Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, and Qi Wang. WorP: A Novel   Worker Performance Prediction Model for General Tasks on Crowdsourcing   Platforms, IEEE International Conference on Web Services (ICWS), Virtual,   September, 2021. Short paper, CORE Rank A, CCF B, Acceptance Rate: 23.7%.

[6]   Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, and Qi Wang. PB-Worker: A   Novel Participating Behavior-based Worker Ability Model for General Tasks on   Crowdsourcing Platforms. IEEE International Conference on Web Services   (ICWS), Beijing, China, October, 2020. Full paper, CORE Rank A, CCF B,   Acceptance Rate: 18.1%.

[7]   Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang, and Mei Wang.   Groexpert: A novel group-aware experts identification approach in   crowdsourcing, International Conference on Web Information Systems   Engineering (WISE), Hong Kong, China, January, 2020. Full paper, CORE Rank A,   CCF C, Acceptance Rate: 23%.

 

待发表:

[1]   Qi Wang, Zhao W, Yang J, et al. Modeling the   Tri-relationships Among Users and Items based on Multi-Graph Attention   Networks for Social Recommendation. Submitted to AAAI 2022, CORE Rank A*, CCF A.

[2]   Qi Wang, Zhao W, Yang J, et al.   DTruPS: A Deep Trust Prediction System for Online Social Networks. Submitted to Thirty-Sixth AAAI Conference on   Artificial Intelligence (AAAI-22), Demonstration Track, CORE Rank A*, CCF A.

[3]   Qi Wang, Zhao W, Yang J, et al. A   Comprehensive on Social Recommendation: Progress and Prospect. Plan to submit   to International Joint Conference on Artificial Intelligence (IJCAI, CCF A)   2022 Survey Track.

[4]   Qi Wang, Zhao W, Yang J, et al. Trust and Trustworthiness:   A review. Submit to IEEE Transactions on Knowledge on Data Engineering (TKDE,   CORE Rank A*, CCF A).

著作教材:

获奖情况:

社会兼职:

Conference   Reviewer: AAAI, KDD, ICDM, IJCNN

Program   Committee:   AAAI 2022

Journal   Reviewer: TKDD, Neural Networks

 

 

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