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2020 – today
- 2024
[c8]Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen:
On Dark Knowledge for Distilling Generators. PAKDD (2) 2024: 235-247- [i8]Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen:
SFDDM: Single-fold Distillation for Diffusion models. CoRR abs/2405.14961 (2024) - [i7]Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos:
Gradient Inversion of Federated Diffusion Models. CoRR abs/2405.20380 (2024) - 2023
- [c7]Jiyue Huang, Chi Hong, Yang Liu, Lydia Y. Chen, Stefanie Roos:
Maverick Matters: Client Contribution and Selection in Federated Learning. PAKDD (2) 2023: 269-282 - [c6]Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen:
Exploring and Exploiting Data-Free Model Stealing. ECML/PKDD (5) 2023: 20-35 - 2022
- [c5]Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant
:
AGIC: Approximate Gradient Inversion Attack on Federated Learning. SRDS 2022: 12-22 - [i6]Chi Hong, Jiyue Huang, Lydia Y. Chen:
MEGA: Model Stealing via Collaborative Generator-Substitute Networks. CoRR abs/2202.00008 (2022) - [i5]Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant:
AGIC: Approximate Gradient Inversion Attack on Federated Learning. CoRR abs/2204.13784 (2022) - 2021
- [c4]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: 486-489 - [c3]Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen:
Online Label Aggregation: A Variational Bayesian Approach. WWW 2021: 1904-1915 - [i4]Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos:
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning. CoRR abs/2106.10734 (2021) - 2020
- [c2]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: 17-26 - [i3]Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. CoRR abs/2011.06833 (2020)
2010 – 2019
- 2018
- [c1]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: 106:1-106:6 - [i2]Chi Hong, Yichi Zhou:
Label Aggregation via Finding Consensus Between Models. CoRR abs/1807.07291 (2018) - 2017
- [i1]Chi Hong:
Item Difficulty-Based Label Aggregation Models for Crowdsourcing. CoRR abs/1706.03930 (2017)
Coauthor Index
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