一、教师简介（含主要经历）
王伟，博士，副教授，硕士生导师，中山大学“****”引进人才
2020年12月-至今，中山大学，智能工程学院，副教授
2018年12月-2020年12月，澳门大学，智慧城市与物联网国家重点实验室，濠江****
2012年9月-2018年9月，大连理工大学，软件学院，博士（硕博连读）
2008年9月-2012年6月，沈阳大学，信息工程学院，学士
热烈欢迎有志于投身智慧城市，社会计算、人工智能物联网前沿领域科学研究的同学踊跃加盟，有意者请发送简历至ehome.wang@outlook.com，期待您的加入！
二、学科方向
计算社会科学，人工智能物联网，智慧城市
三、科研项目
2019-2022国家重点研发计划，桥岛隧多模态数据协同互联及知识化关键技术，7890.00万元，澳门大学主要参与人
四、论著专利
期刊论文
1.W. Wang, et al., “Vehicle trajectory clustering based on dynamic representation learning of internet of vehicles,” IEEE Transactions on Intelligent Transportation Systems, pp. 1–11, 2020, Doi: 10.1109/TITS.2020.**,
2.W. Wang, et al., “An attention-based deep learning framework for trip destination prediction of sharing bike,” IEEE Transactions on Intelligent Transportation Systems, pp. 1–11, 2020, Doi: 10.1109/TITS.2020.**.
3.W. Wang, et al., Collaborative Filtering with Network Representation Learning for Citation Recommendation. IEEE Transactions on Big Data, pp: 1-14, 2020, Doi: 10.1109/TBDATA.2020.**.
4.W. Wang, et al., Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction, ACM Transactions on Knowledge Discovery from Data, pp: 1-20, 2020, Doi: 10.1145/**
5.W. Wang, et al., “Attention-enhanced Deep Learning Framework for Tourist Flow Prediction in Social Internet of Things,” ACM Transactions on Internet Technology, pp. 1–16, 2020.
6.W. Wang, et al., “Venue topic model enhanced deep graph modelling for citation recommendation in scholarly big data,” ACM Transactions on Asian and Low-Resource Language Information Processing, Doi: 10.1145/**, pp. 1–16, 2020.
7.W. Wang, et al., Attributed Collaboration Network Embedding for Academic Relationship Mining, ACM Transactions on the Web, pp. 1-19, 2020, Doi: 10.1145/**
8.W. Wang, et al., Trust-enhanced collaborative filtering for personalized point of interest recommendation, IEEE Transactions on Industrial Informatics, 2019. DOI:10.1109/TII.2019.**.
9.W. Wang, et al., Sustainable collaborator recommendation based on conference closure,” IEEE Transactions on Computational Social Systems, vol. 6, no. 22, pp. 311–322, 2019.
10.J. Chen, Z. Gong, W. Wang*, et al., TAM: Targeted Analysis Model with Reinforcement Learning on Short Texts, IEEE Transactions on Neural Networks and Learning Systems, pp: 1-10, 2020, Doi: 10.1109/TNNLS.2020.**.
11.H. Hu, B. Tang, Y. Zhang, and W. Wang*, “Vehicular ad hoc network representation learning for recommendations in internet of things,” IEEE Transactions on Industrial Informatics, vol. 16, no. 4, pp. 2583–2591, 2020.
12.F. Xia, W. Wang, et al., Big Scholarly Data: A Survey, IEEE Transactions on Big Data, Vol. 3, No. 1, 2017, pp: 18 - 35.
13.W. Wang, et al., “Realizing the potential of internet of things for smart tourism with 5g and AI,” IEEE NETWORK, pp. 1–7, 2020, Doi: 10.1109/MNET.011.**.
14.W. Wang, et al., Geography-Aware Inductive Matrix Completion for Personalized Point of Interest Recommendation in Smart Cities. IEEE Internet of Things Journal. 2019 Oct 30; 7(5):4361-70.
15.J. Chen, Z. Gong, W. Wang*, et al., HNS: Hierarchical Negative Sampling for Network Representation Learning, Information Sciences 542: 343-356, 2020
16.W. Wang, et al., “Early-stage reciprocity in sustainable scientific collaboration,” Doi: 10.1016/j.joi.2020.101041, Journal of Informetrics, pp. 1–12, 2020. (Reported by Nature Index)
17.W. Wang, et al. "CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting." World Wide Web 22, no. 6 (2019): 2749-2770.
18.W. Wang, et al., From triadic closure to conference closure: the role of academic conferences in promoting scientific collaborations. Scientometrics, 2017, 113(1), 177-193.
19.W. Wang, et al., Scientific collaboration patterns vary with scholars' academic ages. Scientometrics. Vol. 112, No. 1, pp: 329-343, 2017. (Reported by Nature Index)
20.W. Wang, et al., “Editorial behaviors in peer review,”SpringerPlus, vol. 5, no. 1, p. 903, 2016.
会议论文
21.W. Wang, et al., Scientific Collaboration Sustainability Prediction Based on H-index Reciprocity, The 30th International World Wide Web Conference (WWW), Taipei, China, 2020.
22.J．Chen, Z, Gong, W. Wang*, et al. Inductive Document Representation Learning for Short Text Clustering, ECMLPKDD 2020, 1-16, Ghent, Belgium, 14-18 September 2020.
23.W. Wang, et al., Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data, The 26th International World Wide Web Conference (WWW), Perth, Australia, 3-7 April 2017
24.W. Wang, et al., “Is scientific collaboration sustainability predictable?” The 26th International Conference on World Wide Web (WWW), Perth, Australia, Poster, 2017.
25.W. Wang, et al., “Mining advisor-advisee relationships in scholarly big data: A deep learning approach,” The 16th ACM/IEEE-CS on joint conference on digital libraries. ACM, 2016.
五、荣誉获奖情况
1.2017年 大连理工大学“屈伯川”奖学金
2.2017年 研究生国家奖学金
3.2013年 IEEE UIC 最佳论文奖
六、社会服务
? ACM TOIT, IEEE JBHI, IEEE Sensor, WCMC, Complexity等多个国际期刊客座编辑。
七、联系方式
电子邮箱： wangw328@mail.sysu.edu.cn