Chi Hong

18 papers A* 2B 1Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
GIDM: Gradient Inversion of Federated Diffusion Models.
ARES (1)
Jiyue Huang, Chi Hong, Stefanie Roos, Lydia Y. Chen
2025 — conf
Single-Fold Distillation for Diffusion Models.
ECML/PKDD (2)
Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen
2024 J jnl
Gradient Inversion of Federated Diffusion Models.
CoRR
Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos
2024 — conf
On Dark Knowledge for Distilling Generators.
PAKDD (2)
Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen
2024 J jnl
SFDDM: Single-fold Distillation for Diffusion models.
CoRR
Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen
2023 — conf
Exploring and Exploiting Data-Free Model Stealing.
ECML/PKDD (5)
Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen
2023 — conf
Maverick Matters: Client Contribution and Selection in Federated Learning.
PAKDD (2)
Jiyue Huang, Chi Hong, Yang Liu, Lydia Y. Chen, Stefanie Roos
2022 B conf
AGIC: Approximate Gradient Inversion Attack on Federated Learning.
SRDS
Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant
2022 J jnl
AGIC: Approximate Gradient Inversion Attack on Federated Learning.
CoRR
Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant
2022 J jnl
MEGA: Model Stealing via Collaborative Generator-Substitute Networks.
CoRR
Chi Hong, Jiyue Huang, Lydia Y. Chen
2021 — conf
A Study on the Design and Display of Spatio-temporal Database of the History and Culture of "Three Hills and Five Gardens".
ICCSE
Zhang Ziying, Chi Hong, Wang Hui, Cao Ying, Liu Ge
2021 J jnl
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning.
CoRR
Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos
2021 A* conf
Online Label Aggregation: A Variational Bayesian Approach.
WWW
Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen
2020 — conf
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models.
CogMI
Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2020 J jnl
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models.
CoRR
Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2018 J jnl
Label Aggregation via Finding Consensus Between Models.
CoRR
Chi Hong, Yichi Zhou
2018 A* conf
SNrram: an efficient sparse neural network computation architecture based on resistive random-access memory.
DAC
Peiqi Wang, Yu Ji, Chi Hong, Yongqiang Lyu, Dongsheng Wang, Yuan Xie
2017 J jnl
Item Difficulty-Based Label Aggregation Models for Crowdsourcing.
CoRR
Chi Hong