Chongyu Fan

According to our database, Chongyu Fan authored at least 13 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Subspace Control: Turning Constrained Model Steering into Controllable Spectral Optimization.

Yancheng Huang, Changsheng Wang, Chongyu Fan, Yicheng Lang, Bingqi Shang, Yang Zhang, Mingyi Hong, Qing Qu, Alvaro Velasquez, Sijia Liu

CoRR, April, 2026

2025

Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective.

Justin Lee, Zheda Mai, Jinsu Yoo, Chongyu Fan, Cheng Zhang, Wei-Lun Chao

CoRR, November, 2025

LLM Unlearning Under the Microscope: A Full-Stack View on Methods and Metrics.

Chongyu Fan, Changsheng Wang, Yancheng Huang, Soumyadeep Pal, Sijia Liu

CoRR, October, 2025

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning.

Yicheng Lang, Yihua Zhang, Chongyu Fan, Changsheng Wang, Jinghan Jia, Sijia Liu

CoRR, October, 2025

CyclicReflex: Improving Large Reasoning Models via Cyclical Reflection Token Scheduling.

Chongyu Fan, Yihua Zhang, Jinghan Jia, Alfred Olivier Hero, Sijia Liu

CoRR, June, 2025

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation.

Jinghan Jia, Hadi Reisizadeh, Chongyu Fan, Nathalie Baracaldo, Mingyi Hong, Sijia Liu

CoRR, June, 2025

Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond.

Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning.

Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu

CoRR, 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, Sijia Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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, Ke Ding, Sijia Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.

Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning.

Chongyu Fan, Jiancheng Liu, Alfred Olivier Hero, Sijia Liu

Proceedings of the Computer Vision - ECCV 2024, 2024