Chi Hong

According to our database1, Chi Hong authored at least 14 papers between 2017 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Gradient Inversion of Federated Diffusion Models.
CoRR, 2024

SFDDM: Single-fold Distillation for Diffusion models.
CoRR, 2024

On Dark Knowledge for Distilling Generators.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023
Exploring and Exploiting Data-Free Model Stealing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Maverick Matters: Client Contribution and Selection in Federated Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022
MEGA: Model Stealing via Collaborative Generator-Substitute Networks.
CoRR, 2022

AGIC: Approximate Gradient Inversion Attack on Federated Learning.
Proceedings of the 41st International Symposium on Reliable Distributed Systems, 2022

2021
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning.
CoRR, 2021

Online Label Aggregation: A Variational Bayesian Approach.
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".
Proceedings of the 16th International Conference on Computer Science & Education, 2021

2020
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2018
Label Aggregation via Finding Consensus Between Models.
CoRR, 2018

SNrram: an efficient sparse neural network computation architecture based on resistive random-access memory.
Proceedings of the 55th Annual Design Automation Conference, 2018

2017
Item Difficulty-Based Label Aggregation Models for Crowdsourcing.
CoRR, 2017


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