Shangqian Gao

Query-Efficient Domain Knowledge Stealing Against Large Language Models AAAI 2026 Controllable Memorization in LLMs via Weight Pruning EMNLP 2025 Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models CVPR 2025 FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing NAACL 2025 MoDeGPT: Modular Decomposition for Large Language Model Compression ICLR 2025 Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models ICLR 2025 Adaptive Rank Selections for Low-Rank Approximation of Language Models NAACL 2024 Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch CVPR 2024 BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks CVPR 2024 Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold AAAI 2024 Device-Wise Federated Network Pruning CVPR 2024 DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NeurIPS 2024 Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024 Token Fusion: Bridging the Gap Between Token Pruning and Token Merging WACV 2024 Unlocking Memorization in Large Language Models with Dynamic Soft Prompting EMNLP 2024 Dynamic Low-rank Estimation for Transformer-based Language Models EMNLP 2023 EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs AAAI 2023 Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models ICLR 2023 Structural Alignment for Network Pruning through Partial Regularization ICCV 2023 Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization JMLR 2022 Bregman Gradient Policy Optimization ICLR 2022 Disentangled Differentiable Network Pruning ECCV 2022 Enhanced Bilevel Optimization via Bregman Distance NeurIPS 2022 Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps ECCV 2022 Recover Fair Deep Classification Models via Altering Pre-trained Structure ECCV 2022 Adversarial Attack on Deep Cross-Modal Hamming Retrieval ICCV 2021 Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity JMLR 2021 Exploration and Estimation for Model Compression ICCV 2021 Network Pruning via Performance Maximization CVPR 2021 Discrete Model Compression With Resource Constraint for Deep Neural Networks CVPR 2020 Momentum-Based Policy Gradient Methods ICML 2020 Cross Domain Model Compression by Structurally Weight Sharing CVPR 2019 Cross-Modal Learning with Adversarial Samples NeurIPS 2019 Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization IJCAI 2019