Chi Hong

According to our database, Chi Hong authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

Gradient Inversion of Federated Diffusion Models.

Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos

CoRR, 2024

SFDDM: Single-fold Distillation for Diffusion models.

Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen

CoRR, 2024

On Dark Knowledge for Distilling Generators.

Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Exploring and Exploiting Data-Free Model Stealing.

Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Maverick Matters: Client Contribution and Selection in Federated Learning.

Jiyue Huang, Chi Hong, Yang Liu, Lydia Y. Chen, Stefanie Roos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

MEGA: Model Stealing via Collaborative Generator-Substitute Networks.

Chi Hong, Jiyue Huang, Lydia Y. Chen

CoRR, 2022

AGIC: Approximate Gradient Inversion Attack on Federated Learning.

Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant

Proceedings of the 41st International Symposium on Reliable Distributed Systems, 2022

2021

Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning.

Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos

CoRR, 2021

Online Label Aggregation: A Variational Bayesian Approach.

Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen

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

A Study on the Design and Display of Spatio-temporal Database of the History and Culture of "Three Hills and Five Gardens".

Zhang Ziying, Chi Hong, Wang Hui, Cao Ying, Liu Ge

Proceedings of the 16th International Conference on Computer Science & Education, 2021

2020

End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models.

Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2018

Label Aggregation via Finding Consensus Between Models.

Chi Hong, Yichi Zhou

CoRR, 2018

SNrram: an efficient sparse neural network computation architecture based on resistive random-access memory.

Peiqi Wang, Yu Ji, Chi Hong, Yongqiang Lyu, Dongsheng Wang, Yuan Xie

Proceedings of the 55th Annual Design Automation Conference, 2018

2017

Item Difficulty-Based Label Aggregation Models for Crowdsourcing.

Chi Hong

CoRR, 2017