Chongyu Fan

17 papers A* 5Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective.
CoRR
Justin Lee, Zheda Mai, Jinsu Yoo, Chongyu Fan, Cheng Zhang, Wei-Lun Chao
2025 J jnl
CyclicReflex: Improving Large Reasoning Models via Cyclical Reflection Token Scheduling.
CoRR
Chongyu Fan, Yihua Zhang, Jinghan Jia, Alfred Olivier Hero, Sijia Liu
2025 J jnl
Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning.
CoRR
Yicheng Lang, Yihua Zhang, Chongyu Fan, Changsheng Wang, Jinghan Jia, Sijia Liu
2025 J jnl
EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation.
CoRR
Jinghan Jia, Hadi Reisizadeh, Chongyu Fan, Nathalie Baracaldo, Mingyi Hong, Sijia Liu
2025 J jnl
LLM Unlearning Under the Microscope: A Full-Stack View on Methods and Metrics.
CoRR
Chongyu Fan, Changsheng Wang, Yancheng Huang, Soumyadeep Pal, Sijia Liu
2025 A* conf
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills.
EMNLP
Changsheng Wang, Chongyu Fan, Yihua Zhang, Jinghan Jia, Dennis Wei, Parikshit Ram, Nathalie Baracaldo, Sijia Liu
2025 J jnl
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills.
CoRR
Changsheng Wang, Chongyu Fan, Yihua Zhang, Jinghan Jia, Dennis Wei, Parikshit Ram, Nathalie Baracaldo, Sijia Liu
2025 A* conf
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond.
ICML
Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu
2025 J jnl
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond.
CoRR
Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu
2024 — conf
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning.
ECCV (21)
Chongyu Fan, Jiancheng Liu, Alfred Olivier Hero, Sijia Liu
2024 J jnl
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning.
CoRR
Chongyu Fan, Jiancheng Liu, Alfred O. Hero III, Sijia Liu
2024 A* conf
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models.
NeurIPS
Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu
2024 J jnl
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models.
CoRR
Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu
2024 A* conf
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.
ICLR
Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
2024 J jnl
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning.
CoRR
Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu
2024 A* conf
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models.
NeurIPS
Yihua Zhang, Chongyu Fan, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Gaoyuan Zhang, Gaowen Liu, Ramana Kompella, Xiaoming Liu, Sijia Liu
2023 J jnl
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.
CoRR
Chongyu Fan, Jiancheng Liu, Yihua Zhang, Dennis Wei, Eric Wong, Sijia Liu