Shangqian Gao
34 papers · 2019–2026 · 12 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(12)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(12)
🏆
Keyword Champion
(5)
🤝
Dynamic Duo
(24)
🔬
Deep Specialist
(10)
🏆
Grand Slam
🗃️
Keyword Collector
(110)
⚡
Prolific Year
(9)
💎
Century Club
(33)
🔥
Unstoppable
(7)
Conferences
CVPR (8)
ICLR (4)
AAAI (3)
ECCV (3)
EMNLP (3)
ICCV (3)
NIPS (3)
JMLR (2)
NAACL (2)
ICML (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
model compression
(13)
convolutional neural network
(5)
channel pruning
(5)
large language model
(4)
structural pruning
(3)
model pruning
(3)
network pruning
(3)
data memorization
(2)
parameter efficiency
(2)
weight sharing
(2)
stochastic gradient
(2)
variance reduction
(2)
neural network pruning
(2)
knowledge distillation
(2)
efficient computing
(2)
singular value decomposition
(2)
zeroth-order optimization
(2)
low-rank approximation
(2)
manifold learning
(1)
nonconvex optimization
(1)
Papers
Query-Efficient Domain Knowledge Stealing Against Large Language Models
AAAI 2026
Controllable Memorization in LLMs via Weight Pruning
EMNLP 2025
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing
NAACL 2025
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
ICLR 2025
MoDeGPT: Modular Decomposition for Large Language Model Compression
ICLR 2025
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
CVPR 2025
BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks
CVPR 2024
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
EMNLP 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
NIPS 2024
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
AAAI 2024
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
CVPR 2024
Device-Wise Federated Network Pruning
CVPR 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
CVPR 2024
Adaptive Rank Selections for Low-Rank Approximation of Language Models
NAACL 2024
Token Fusion: Bridging the Gap Between Token Pruning and Token Merging
WACV 2024
Structural Alignment for Network Pruning through Partial Regularization
ICCV 2023
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
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps
ECCV 2022
Bregman Gradient Policy Optimization
ICLR 2022
Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization
JMLR 2022
Enhanced Bilevel Optimization via Bregman Distance
NIPS 2022
Disentangled Differentiable Network Pruning
ECCV 2022
Recover Fair Deep Classification Models via Altering Pre-trained Structure
ECCV 2022
Exploration and Estimation for Model Compression
ICCV 2021
Adversarial Attack on Deep Cross-Modal Hamming Retrieval
ICCV 2021
Network Pruning via Performance Maximization
CVPR 2021
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity
JMLR 2021
Discrete Model Compression With Resource Constraint for Deep Neural Networks
CVPR 2020
Momentum-Based Policy Gradient Methods
ICML 2020
Cross-Modal Learning with Adversarial Samples
NIPS 2019
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization
IJCAI 2019
Cross Domain Model Compression by Structurally Weight Sharing
CVPR 2019