Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning. - Chongyu Fan; Jiancheng Liu; Alfred Olivier Hero; Sijia Liu 001 (ECCV (21), 2024)

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation. - Chongyu Fan; Jiancheng Liu; Yihua Zhang; Eric Wong 001; Dennis Wei; Sijia Liu 001 (ICLR, 2024)

Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models. - Yimeng Zhang; Xin Chen; Jinghan Jia; Yihua Zhang; Chongyu Fan; Jiancheng Liu; Mingyi Hong 001; Ke Ding; Sijia Liu 001 (NeurIPS, 2024)

UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models. - Yihua Zhang; Chongyu Fan; Yimeng Zhang; Yuguang Yao; Jinghan Jia; Jiancheng Liu; Gaoyuan Zhang; Gaowen Liu; Ramana Kompella; Xiaoming Liu 002; Sijia Liu 001 (NeurIPS, 2024)

Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning. - Chongyu Fan; Jiancheng Liu; Licong Lin; Jinghan Jia; Ruiqi Zhang; Song Mei; Sijia Liu 001 (CoRR, 2024)

Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond. - Chongyu Fan; Jinghan Jia; Yihua Zhang; Anil Ramakrishna; Mingyi Hong 001; Sijia Liu 001 (CoRR, 2025)

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation. - Jinghan Jia; Hadi Reisizadeh; Chongyu Fan; Nathalie Baracaldo; Mingyi Hong 001; Sijia Liu 001 (CoRR, 2025)

CyclicReflex: Improving Large Reasoning Models via Cyclical Reflection Token Scheduling. - Chongyu Fan; Yihua Zhang; Jinghan Jia; Alfred Olivier Hero; Sijia Liu 001 (CoRR, 2025)

Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills. - Changsheng Wang; Chongyu Fan; Yihua Zhang; Jinghan Jia; Dennis Wei; Parikshit Ram; Nathalie Baracaldo; Sijia Liu 001 (CoRR, 2025)