Name: Qin Zhida
Discipline: Computer Science and Technology
Title:
Contact number:
E-mail: zanderqin@bit.edu.cn
Address: 610 Software Building, Zhongguancun Campus Personal Information
Qin Zhida is a special associate researcher, pre-appointed assistant professor and master supervisor of School of Computer Science, Beijing Institute of Technology. In March 2020, he received his PhD degree from the Department of Electronics, Shanghai Jiao Tong University. His research interests include graph neural networks, graph contrast learning, generative artificial intelligence, intelligent recommendation systems, Internet of Things and digital media simulation. So far, he has published 14 papers in CCF-A class and international top journals and conferences such as IEEE INFOCOM, TWC, TCOM, TNSE, and undertaken the Youth project of National Natural Science Foundation and the Youth Academic Start-up Plan of Beijing Institute of Technology. Participated in the National Natural Science Foundation key projects, key research and development plans, surface projects and other vertical projects. He is a program committee member of IEEEE ICCC and a reviewer for IEEE TMC, TWC, TSP, MobiHoc, INFOCOM, ICNP and other journals and conferences.
Notes: 3~~4 master students are enrolled every year, welcome to contact interested students! Just send an email! Students interested in scientific research are also welcome to contact us in advance!
Research Direction
1. Graph neural networks, graph contrast learning, Generative Artificial Intelligence
2. Intelligent recommendation system, collaborative filtering
3. Internet of Things, multi-agent reinforcement learning
Personal Information
Qin Zhida is a special associate researcher, pre-appointed assistant professor and master supervisor of School of Computer Science, Beijing Institute of Technology. In March 2020, he received his PhD degree from the Department of Electronics, Shanghai Jiao Tong University. His research interests include graph neural networks, graph contrast learning, generative artificial intelligence, intelligent recommendation systems, Internet of Things and digital media simulation. So far, he has published 14 papers in CCF-A class and international top journals and conferences such as IEEE INFOCOM, TWC, TCOM, TNSE, and undertaken the Youth project of National Natural Science Foundation and the Youth Academic Start-up Plan of Beijing Institute of Technology. Participated in the National Natural Science Foundation key projects, key research and development plans, surface projects and other vertical projects. He is a program committee member of IEEEE ICCC and a reviewer for IEEE TMC, TWC, TSP, MobiHoc, INFOCOM, ICNP and other journals and conferences.
Notes: 3~~4 master students are enrolled every year, welcome to contact interested students! Just send an email! Students interested in scientific research are also welcome to contact us in advance!
Personal Information
Qin Zhida is a special associate researcher, pre-appointed assistant professor and master supervisor of School of Computer Science, Beijing Institute of Technology. In March 2020, he received his PhD degree from the Department of Electronics, Shanghai Jiao Tong University. His research interests include graph neural networks, graph contrast learning, generative artificial intelligence, intelligent recommendation systems, Internet of Things and digital media simulation. So far, he has published 14 papers in CCF-A class and international top journals and conferences such as IEEE INFOCOM, TWC, TCOM, TNSE, and undertaken the Youth project of National Natural Science Foundation and the Youth Academic Start-up Plan of Beijing Institute of Technology. Participated in the National Natural Science Foundation key projects, key research and development plans, surface projects and other vertical projects. He is a program committee member of IEEEE ICCC and a reviewer for IEEE TMC, TWC, TSP, MobiHoc, INFOCOM, ICNP and other journals and conferences.
Notes: 3~~4 master students are enrolled every year, welcome to contact interested students! Just send an email! Students interested in scientific research are also welcome to contact us in advance!
代表性学术成果
* 代表通讯作者,全部列表参见谷歌学术
Zhida Qin, Siyun Yang, Yuchen Huang, Haoyan Fu, Pengzhan Zhou, Gangyi Ding,Towards Relevance and Diversity in Crowdsourcing Worker Recruitment With Insufficient Information, IEEE Transactions on Network Science and Engineering, to appear, (SCI一区,IF 6.6)
Ao Wang, Zhida Qin*, Lu Zheng, Dapeng Li*, Lin Gao, Distributed Robust Bandits With Efficient Communication, IEEE Transactions on Network Science and Engineering, 10 (3), 1586-1598,2022 (SCI一区,IF 6.6)
Zhida Qin, Xiaoying Gan, Jia Liu, Hongqiu Wu, Haiming Jin and Luoyi Fu, Exploring Best Arm with Top Reward-Cost Ratio in Stochastic Bandits, in IEEE International Conference on Computer Communications (CCF-A), 2020.
Zhida Qin, Xiaoying Gan, Luoyi Fu, Xin Di, Jun Tian and Xinbing Wang, Content Delivery in Cache-Enabled Wireless Evolving Social Networks, in IEEE Transactions on Wireless Communications (SCI一区 IF 10.4), vol. 63, no. 6, pp. 1988-2000, 2018.
Zhida Qin, Xiaoying Gan, Jingchao Wang, Luoyi Fu and Xinbing Wang, Capacity of Social-Aware Wireless Networks With Directional Antennas, in IEEE Transactions on Communications (SCI一区,IF 8.3), vol. 65, no. 11, pp. 4831-4844, 2017.
Zhida Qin, Ziquan You, Haiming Jin, Xiaoying Gan, and Jingchao Wang, Homophily-Driven Evolution Increases the Diffffusion Accuracy in Social Networks, IEEE Transactions on Network Science and Engineering,2020 (SCI一区,IF 6.6) .
Zhida Qin, Xiaoying Gan, Manyuan Shen, Xinbing Wang and Xiaohua Tian, Capacity of wireless networks with social behavior and directional antennas, in Proceedings of the 59th IEEE Global Communications Conference (GLOBECOM 2016,通信领域旗舰会议),Washington D.C., December 2016.
Xiaoying Gan, Haoxiang Zhang, Zhida Qin and Haiming Jin, Fast Charging Station Deployment With Elastic Demand, to appear in IEEE Transactions on Transportation Electrifification (SCI一区).
所获奖励
“挑战杯”首都大学生课外学术科技作品竞赛,北京市二等奖,指导教师
上海交通大学优秀毕业生
上海交通大学周维榦奖学金
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):