Jing Ma

According to our database, Jing Ma authored at least 11 papers between 2019 and 2022.

Collaborative distances:

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

2022

Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels.

Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang

CoRR, 2022

Towards Training Graph Neural Networks with Node-Level Differential Privacy.

Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong

CoRR, 2022

2021

Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics.

Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho

Proceedings of the WWW '21: The Web Conference 2021, 2021

Federated Graph Classification over Non-IID Graphs.

Han Xie, Jing Ma, Li Xiong, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Private Stochastic Non-convex Optimization with Improved Utility Rates.

Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Communication Efficient Tensor Factorization for Decentralized Healthcare Networks.

Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho

Proceedings of the IEEE International Conference on Data Mining, 2021

Temporal Network Embedding via Tensor Factorization.

Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Spatio-Temporal Tensor Sketching via Adaptive Sampling.

Jing Ma, Qiuchen Zhang, Joyce C. Ho, Li Xiong

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks.

Qiuchen Zhang, Jing Ma, Yonghui Xiao, Jian Lou, Li Xiong

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels.

Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis.

Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019