Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to content
View ljcc0930's full-sized avatar
39 followers · 38 following

Achievements

Achievement: StarstruckAchievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@thucg

Block or report ljcc0930

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ljcc0930/README.md

Hi there 👋

My name is Jiancheng (JC) Liu. I am a graduate student at Michigan State University, currently work at OPTML Group. My recent research focuses on scalable and trustworthy AI.

  • I am planning to enroll as a doctoral student in 2025. Should you have any promising opportunities, please feel free to contact me!

My recent works about machine unlearning (MU)

Paper Title Venue
Repository
Unlearning for LLMs
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning In Submission OPTML-Group/Unlearn-Simple
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NeurIPS'24 OPTML-Group/WAGLE
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP'24 OPTML-Group/Unlearn-WorstCase
Unlearning for Diffusion Models
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NeurIPS'24 OPTML-Group/AdvUnlearn
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models NeurIPS'24 D&B OPTML-Group/UnlearnCanvas
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images... For Now ECCV'24 OPTML-Group/Diffusion-MU-Attack
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation ICLR'24 (Spotlight) OPTML-Group/Unlearn-Saliency
Unlearning for Classification Models
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning ECCV'24 OPTML-Group/Unlearn-WorstCase
Model Sparsity Can Simplify Machine Unlearning NeurIPS'23 (Spotlight) OPTML-Group/Unlearn-Sparse

Pinned Loading

  1. OPTML-Group/Unlearn-Saliency OPTML-Group/Unlearn-Saliency Public

    [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, D…

    Python 101 14

  2. OPTML-Group/Unlearn-Sparse OPTML-Group/Unlearn-Sparse Public

    [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

    Python 62 7

  3. OPTML-Group/Unlearn-WorstCase OPTML-Group/Unlearn-WorstCase Public

    [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu

    Python 17

  4. OPTML-Group/Unlearn-Simple OPTML-Group/Unlearn-Simple Public

    "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu

    Python 17 4

  5. erizmr/Complex-locomotion-skill-learning-via-differentiable-physics erizmr/Complex-locomotion-skill-learning-via-differentiable-physics Public

    Python 3