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Yuyuan Li

Hangzhou Dianzi University, School of Communication Engineering, Hangzhou, China

19 papers at tracked venues · 18 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. "I See What You Did There": Can Large Vision-Language Models Understand Multimodal Puns?
  2. Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?
  3. DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data
  4. FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training
    AAAI 2026 · Yuyuan Li
  5. Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation
  6. TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models
  7. Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
  8. Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization
  9. LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems
  10. MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation
  11. Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems
  12. UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation
  13. CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
  14. Check, Locate, Rectify: A Training-Free Layout Calibration System for Text- to- Image Generation
  15. Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models
  16. Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems
  17. Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
  18. One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment
  19. UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training