a-F1
I am Chongyu Fan, a first-year Ph.D. student at Michigan State University. My interests lie in the trustworthy and scalable Machine Learning algorithms.
Michigan State UniversityEast Lansing, Michigan
Pinned Repositories
a-F1
a-F1.github.io
backdoor
backdoor learning for lipreading
Dlip
DenseCLIP + WSDDN
F-UnlearnCanvas
UnlearnCanvas: A Stylized Image Dataaset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Xiaoming Liu, Sijia Liu
muse_bench
Unlearn-Saliency
[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
Unlearn-Simple
"Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu
Unlearn-WorstCase
[ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu
UnlearnCanvas
[NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Chongyu Fan, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Gaoyuan Zhang, Gaowen Liu, Ramana Kompella, Xiaoming Liu, Sijia Liu
a-F1's Repositories
a-F1/a-F1
a-F1/a-F1.github.io
a-F1/backdoor
backdoor learning for lipreading
a-F1/Dlip
DenseCLIP + WSDDN
a-F1/F-UnlearnCanvas
UnlearnCanvas: A Stylized Image Dataaset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Xiaoming Liu, Sijia Liu
a-F1/insightface
State-of-the-art 2D and 3D Face Analysis Project
a-F1/muse_bench
a-F1/OPTML-Group.github.io
a-F1/practice
a-F1/Research
novel deep learning research works with PaddlePaddle
a-F1/SalUn
a-F1/scrfd
Face Detection
a-F1/wsddn
a-F1/scGPT
a-F1/WSDDN-PyTorch
Implementation of Weakly Supervised Deep Detection Networks with PyTorch