Chi Hong

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Learning Models

Expert Knowledge

Influence Maximization

Top Venues

Publications

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