Zihan Chen

Personalizing Federated Learning with Over-the-Air Computations

Feb 24, 2023
Zihan Chen, Zeshen Li, Howard H. Yang, Tony Q. S. Quek

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* 5 pages. Accepted by ICASSP 2023

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Imperceptible Adversarial Attack via Invertible Neural Networks

Dec 04, 2022
Zihan Chen, Ziyue Wang, Junjie Huang, Wentao Zhao, Xiao Liu, Dejian Guan

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Semantics-Preserving Sketch Embedding for Face Generation

Nov 23, 2022
Binxin Yang, Xuejin Chen, Chaoqun Wang, Chi Zhang, Zihan Chen, Xiaoyan Sun

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Towards Federated Long-Tailed Learning

Jun 30, 2022
Zihan Chen, Songshang Liu, Hualiang Wang, Howard H. Yang, Tony Q. S. Quek, Zuozhu Liu

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* Accepted by International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2022 (FL-IJCAI'22)

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FedCorr: Multi-Stage Federated Learning for Label Noise Correction

Apr 10, 2022
Jingyi Xu, Zihan Chen, Tony Q. S. Quek, Kai Fong Ernest Chong

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* Accepted at IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022. 18 pages, 10 figures (including supplementary material). First two authors contributed equally. Code is available at: https://github.com/Xu-Jingyi/FedCorr

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Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering

Mar 31, 2022
Zihan Chen, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu

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Dynamic Attention-based Communication-Efficient Federated Learning

Aug 12, 2021
Zihan Chen, Kai Fong Ernest Chong, Tony Q. S. Quek

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* 7 pages, 3 figures, presented at the International Workshop on Federated and Transfer Learning for Data Sparsity and Confidentiality (FTL-IJCAI 2021) in conjunction with the 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021

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Sentiment Analysis of the COVID-related r/Depression Posts

Jul 28, 2021
Zihan Chen, Marina Sokolova

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* 16 pages, 7 figures, 5 tables, 1 appendix

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DeepFacePencil: Creating Face Images from Freehand Sketches

Aug 31, 2020
Yuhang Li, Xuejin Chen, Binxin Yang, Zihan Chen, Zhihua Cheng, Zheng-Jun Zha

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* ACM MM 2020 (oral)

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