Jia, Jinghan

19 publications

ICML 2025 Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning Changsheng Wang, Yihua Zhang, Jinghan Jia, Parikshit Ram, Dennis Wei, Yuguang Yao, Soumyadeep Pal, Nathalie Baracaldo, Sijia Liu

NeurIPS 2025 One Token Embedding Is Enough to Deadlock Your Large Reasoning Model Mohan Zhang, Yihua Zhang, Jinghan Jia, Zhangyang Wang, Sijia Liu, Tianlong Chen

ICML 2025 Robust Multi-Bit Text Watermark with LLM-Based Paraphrasers Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li

ICLRW 2025 Robust Multi-Bit Text Watermark with LLM-Based Paraphrasers Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li

NeurIPS 2025 Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu

NeurIPS 2025 The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization Yihua Zhang, Changsheng Wang, Yiwei Chen, Chongyu Fan, Jinghan Jia, Sijia Liu

ICML 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

ICLR 2024 DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu

NeurIPS 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

NeurIPSW 2024 Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu

ECCV 2024 To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy to Generate Unsafe Images ... for Now Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu

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, Sijia Liu

NeurIPS 2024 WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models Jinghan Jia, Jiancheng Liu, Yihua Zhang, Parikshit Ram, Nathalie Baracaldo, Sijia Liu

NeurIPS 2023 Model Sparsity Can Simplify Machine Unlearning Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

NeurIPS 2023 Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu

CVPR 2023 Text-Visual Prompting for Efficient 2D Temporal Video Grounding Yimeng Zhang, Xin Chen, Jinghan Jia, Sijia Liu, Ke Ding

ICLR 2023 TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang

ICLR 2022 How to Robustify Black-Box ML Models? a Zeroth-Order Optimization Perspective Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu

NeurIPSW 2022 On the Robustness of Deep Learning-Based MRI Reconstruction to Image Transformations Jinghan Jia, Mingyi Hong, Yimeng Zhang, Mehmet Akcakaya, Sijia Liu