Yihua Zhang

Most-cited papers

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
Chong-Yu Fan, Jiancheng Liu, Yihua Zhang, Dennis Wei +2 more
2023International Conference on Learning Representations495 citations
Semantic Scholar
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 +4 more
2023European Conference on Computer Vision268 citations
Semantic Scholar
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang +5 more
2024Neural Information Processing Systems209 citations
Semantic Scholar
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
Yihua Zhang, Ping-Zhi Li, Junyuan Hong, Jiaxiang Li +9 more
2024International Conference on Machine Learning165 citations
Semantic Scholar
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu +4 more
2024Conference on Empirical Methods in Natural Language Processing127 citations
Semantic Scholar
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion
Haomin Zhuang, Yihua Zhang, Si-Jia Liu
20232023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)121 citations Open access
Semantic Scholar
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang +1 more
2022Computer Vision and Pattern Recognition116 citations Open access
Semantic Scholar
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Min-Fong Hong +2 more
2021International Conference on Machine Learning115 citations
Semantic Scholar
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer +6 more
2023International Conference on Learning Representations104 citations Open access
Semantic Scholar
Advancing Model Pruning via Bi-level Optimization
Yihua Zhang, Yuguang Yao, P. Ram, Pu Zhao +4 more
2022Neural Information Processing Systems101 citations Open access
Semantic Scholar
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
Chong-Yu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna +2 more
2025International Conference on Machine Learning94 citations
Semantic Scholar
An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning
Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao +2 more
2023IEEE Signal Processing Magazine79 citations Open access
Semantic Scholar
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models
Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia +3 more
2024arXiv.org64 citations
Semantic Scholar
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
Yihua Zhang, Chong-Yu Fan, Yimeng Zhang, Yuguang Yao +7 more
2024Neural Information Processing Systems53 citations Open access
Semantic Scholar
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Yihua Zhang, Rui-Si Cai, Tian-Long Chen, Guanhua Zhang +5 more
2023IEEE International Conference on Computer Vision53 citations Open access
Semantic Scholar
Fairness Reprogramming
Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan +3 more
2022Neural Information Processing Systems46 citations Open access
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When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
Hong-Kang Li, Yihua Zhang, Shuai Zhang, Meng Wang +2 more
2025International Conference on Learning Representations43 citations
Semantic Scholar
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
Jinghan Jia, Jiancheng Liu, Yihua Zhang, Parikshit Ram +2 more
2024Neural Information Processing Systems33 citations
Semantic Scholar
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
Chang-Sheng Wang, Yihua Zhang, Jinghan Jia, Parikshit Ram +5 more
2025International Conference on Machine Learning32 citations
Semantic Scholar
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach
Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu +3 more
2023International Conference on Machine Learning32 citations
Semantic Scholar
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy +3 more
2023AAAI Conference on Artificial Intelligence31 citations
Semantic Scholar
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
Hanhui Wang, Yihua Zhang, Ruizheng Bai, Yue Zhao +2 more
2024Computer Vision and Pattern Recognition30 citations
Semantic Scholar
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
Tian-Long Chen, Zhenyu (Allen) Zhang, Yihua Zhang, Shi-Yu Chang +2 more
2022Computer Vision and Pattern Recognition30 citations Open access
Semantic Scholar
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
Bai-Ru Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang +3 more
2022International Conference on Learning Representations30 citations Open access
Semantic Scholar
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models
Yi-Ze Li, Yihua Zhang, Sijia Liu, Xue Lin
2024IEEE International Conference on Acoustics, Speech, and Signal Processing29 citations Open access
Semantic Scholar
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
Chang-Sheng Wang, Chong-Yu Fan, Yihua Zhang, Jinghan Jia +4 more
2025Conference on Empirical Methods in Natural Language Processing22 citations
Semantic Scholar
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia +5 more
2023Neural Information Processing Systems20 citations
Semantic Scholar
Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-tuning
Yi-Wei Chen, Yuguang Yao, Yihua Zhang, Bing-Quan Shen +2 more
2025arXiv.org18 citations
Semantic Scholar
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiang-Yi Chen +6 more
2022Conference on Uncertainty in Artificial Intelligence17 citations Open access
Semantic Scholar
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
Yihua Zhang, Pranay Sharma, P. Ram, Min-Fong Hong +2 more
2023International Conference on Learning Representations16 citations Open access
Semantic Scholar
SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
Haomin Zhuang, Yihua Zhang, Ke-Han Guo, Jinghan Jia +3 more
2024Annual Meeting of the Association for Computational Linguistics15 citations Open access
Semantic Scholar
Powering Up Zeroth-Order Training via Subspace Gradient Orthogonalization
Yi-Cheng Lang, Chang-Sheng Wang, Yihua Zhang, Ming-Yi Hong +3 more
2026arXiv.org14 citations
Semantic Scholar
Visual prompting reimagined: The power of the Activation Prompts
Yihua Zhang, Hong-Kang Li, Yuguang Yao, Aochuan Chen +4 more
2026arXiv.org14 citations
Semantic Scholar
ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation
Yihua Zhang, Ming-Fu Liang, Ji-Yan Yang, Rong Jin +10 more
2026Annual Meeting of the Association for Computational Linguistics12 citations Open access
Semantic Scholar
CyclicReflex: Improving Reasoning Models via Cyclical Reflection Token Scheduling
Chong-Yu Fan, Yihua Zhang, Jinghan Jia, Alfred O. Hero +1 more
202510 citations
Semantic Scholar
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Chang-Chang Sun, Ren Wang, Yihua Zhang, Jinghan Jia +4 more
2024arXiv.org9 citations
Semantic Scholar
One Token Embedding Is Enough to Deadlock Your Large Reasoning Model
Mohan Zhang, Yihua Zhang, Jinghan Jia, Zhangyang Wang +2 more
2025Neural Information Processing Systems7 citations
Semantic Scholar
How Does Promoting the Minority Fraction Affect Generalization? A Theoretical Study of One-Hidden-Layer Neural Network on Group Imbalance
Hong-Kang Li, Shuai Zhang, Yihua Zhang, Meng Wang +2 more
2024IEEE Journal on Selected Topics in Signal Processing7 citations Open access
Semantic Scholar
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection
Mohammad Jafari, Yimeng Zhang, Yihua Zhang, Sijia Liu
2024IEEE International Conference on Acoustics, Speech, and Signal Processing6 citations Open access
Semantic Scholar
A Doubly Stochastically Perturbed Algorithm for Linearly Constrained Bilevel Optimization
Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Sijia Liu +1 more
20255 citations
Semantic Scholar
Robustness-Preserving Lifelong Learning Via Dataset Condensation
Jinghan Jia, Yihua Zhang, Dogyoon Song, Sijia Liu +1 more
2023IEEE International Conference on Acoustics, Speech, and Signal Processing5 citations Open access
Semantic Scholar
Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearning
Bing-Qi Shang, Yi-Wei Chen, Yihua Zhang, Bing-Quan Shen +1 more
2025arXiv.org4 citations
Semantic Scholar
Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning
Yi-Cheng Lang, Yihua Zhang, Chong-Yu Fan, Chang-Sheng Wang +2 more
2025arXiv.org4 citations
Semantic Scholar
Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning
Renjie Gu, Jiazhen Du, Yihua Zhang, Sijia Liu
2026Annual Meeting of the Association for Computational Linguistics3 citations Open access
Semantic Scholar
LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked Data
Chang-Sheng Wang, Yihua Zhang, Dennis Wei, Jinghan Jia +2 more
2025AISec@CCS3 citations Open access
Semantic Scholar
Temperature-dependent molecular evolution of dissolved black carbon and its interaction mechanism with dissimilatory iron reduction.
Liping Zhai, Jinxia Xia, Xin-Yuan Huang, Mengge Wang +5 more
2026Bioresource Technology2 citations
Semantic Scholar
CyclicReflex: Improving Large Reasoning Models via Cyclical Reflection Token Scheduling
Chong-Yu Fan, Yihua Zhang, Jinghan Jia, Alfred Hero +1 more
2025arXiv.org2 citations
Semantic Scholar
The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization
Yihua Zhang, Chang-Sheng Wang, Yi-Wei Chen, Chong-Yu Fan +2 more
2025Neural Information Processing Systems2 citations
Semantic Scholar
Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design
Yu-Hao Sun, Yihua Zhang, Gaowen Liu, Hong-Tao Xie +1 more
2025IEEE International Conference on Computer Vision2 citations
Semantic Scholar
Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generation
Kaiyuan Liu, Jiahao Mei, Hengyu Zhang, Yihua Zhang +2 more
2024Proceedings of the 3rd International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice2 citations Open access
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