Yihua Zhang

Venues

Frequent coauthors

Papers

1. ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation
   ACL 2026 · Yihua Zhang
2. Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning
   ACL 2026 ·

   Renjie Gu

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3. Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
   CVPR 2025 ·

   Hanhui Wang

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4. Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
   ICML 2025 ·

   Changsheng Wang

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5. Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design
   ICCV 2025 ·

   Yuhao Sun

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6. One Token Embedding Is Enough to Deadlock Your Large Reasoning Model
   NeurIPS 2025 ·

   Mohan Zhang

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7. Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
   EMNLP 2025 ·

   Changsheng Wang

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8. SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
   ACL 2025 ·

   Haomin Zhuang

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9. The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization
   NeurIPS 2025 · Yihua Zhang
10. Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
    ICML 2025 ·

    Chongyu Fan

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11. Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
    AAAI 2025 ·

    Can Jin

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12. When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
    ICLR 2025 ·

    Hongkang Li

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13. DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
    ICLR 2024 ·

    Aochuan Chen

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14. Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
    NeurIPS 2024 ·

    Yimeng Zhang

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15. Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
    ICML 2024 · Yihua Zhang
16. SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
    EMNLP 2024 ·

    Jinghan Jia

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17. SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
    ICLR 2024 ·

    Chongyu Fan

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18. To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy to Generate Unsafe Images ... For Now
    ECCV 2024 ·

    Yimeng Zhang

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19. UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
    NeurIPS 2024 · Yihua Zhang
20. WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
    NeurIPS 2024 ·

    Jinghan Jia

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