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).
