Qiuchen Zhang

According to our database1, Qiuchen Zhang authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning.
CoRR, 2024

2022
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels.
CoRR, 2022

Towards Training Graph Neural Networks with Node-Level Differential Privacy.
CoRR, 2022

2021
Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Private Stochastic Non-convex Optimization with Improved Utility Rates.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Communication Efficient Tensor Factorization for Decentralized Healthcare Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021

Eclipse: Generalizing kNN and Skyline.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Temporal Network Embedding via Tensor Factorization.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Predict or draw blood: An integrated method to reduce lab tests.
J. Biomed. Informatics, 2020

Generating sequential electronic health records using dual adversarial autoencoder.
J. Am. Medical Informatics Assoc., 2020

Spatio-Temporal Tensor Sketching via Adaptive Sampling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Linear Programming Model for Single-line Passenger Flow Control during Subway Peak Hours.
Proceedings of the 5th IEEE International Conference on Intelligent Transportation Engineering, 2020

Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks.
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.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017
Eclipse: Practicability Beyond 1NN and Skyline.
CoRR, 2017


  Loading...