Rongrong Jing

According to our database, Rongrong Jing authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services.

Guyu Jiang, Xiaoyun Li, Rongrong Jing, Ruoqi Zhao, Xingliang Ni, Guodong Cao, Ning Hu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Self-Training Based Semi-Supervised and Semi-Paired Hashing Cross-Modal Retrieval.

Rongrong Jing, Hu Tian, Xingwei Zhang, Gang Zhou, Xiaolong Zheng, Daniel Zeng

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Donald J. Trump's Presidency in Cyberspace: A Case Study of Social Perception and Social Influence in Digital Oligarchy Era.

Xiaolong Zheng, Xiao Wang, Zepeng Li, Rongrong Jing, Shuqi Xu, Tao Wang, Lifang Li, Zhenwen Zhang, Qingpeng Zhang, Huaiguang Jiang, Zhihua Guo, Xiaowei Zhang, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., 2021

Analyzing the Hidden Causal Interactions in Large-Scale Social Networks: A Case Study on GameStop.

Gang Zhou, Rongrong Jing, Xiaolong Zheng, Xingwei Zhang, Hu Tian, Daniel Dajun Zeng

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

A GNN-based Few-shot learning model on the Credit Card Fraud detection.

Rongrong Jing, Hu Tian, Gang Zhou, Xingwei Zhang, Xiaolong Zheng, Daniel Dajun Zeng

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020

Improved weighted local linear embedding algorithm based on Laplacian eigenmaps.

Qing Wu, Rongrong Jing, En Wang

Int. J. Knowl. Based Intell. Eng. Syst., 2020

Improving the Data Quality for Credit Card Fraud Detection.

Rongrong Jing, Hu Tian, Yidi Li, Xingwei Zhang, Xiaolong Zheng, Zhu Zhang, Daniel Zeng

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020

2019

Feature Selection Based on Twin Support Vector Regression.

Qing Wu, Haoyi Zhang, Rongrong Jing, Yiran Li

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Least Squares Twin Support Vector Machine Based on Manifold-based Within-class Scatter.

Qing Wu, Haoyi Zhang, Rongrong Jing, Yue He

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Graph-Based Semi-Supervised Fraud Detection Framework.

Rongrong Jing, Xiaolong Zheng, Hu Tian, Xingwei Zhang, Weiyun Chen, Desheng Dash Wu, Daniel Dajun Zeng

Proceedings of the 4th IEEE International Conference on Cybernetics, 2019

2018

A Class of Fuzzy Smooth Piecewise Twin Support Vector Machine.

Qing Wu, Haoyi Zhang, Rongrong Jing, Zhicang Wang

Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018