Yanfu Zhang
17 papers · 2018–2025 · 9 conferences · across top CS/AI conferences
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Conferences
CVPR (4)
EMNLP (3)
ICCV (3)
ECCV (2)
AAAI (1)
CORL (1)
ICML (1)
MICCAI (1)
NIPS (1)
Top co-authors
Research topics
Keywords
channel pruning
(3)
model compression
(3)
large language model
(2)
network pruning
(2)
convolutional neural network
(2)
data memorization
(2)
stochastic gradient
(1)
neural network pruning
(1)
federated learning
(1)
semantic segmentation
(1)
adversarial robustness
(1)
nonconvex optimization
(1)
non-convex optimization
(1)
policy optimization
(1)
stochastic gradient descent
(1)
neural network compression
(1)
optimal transport
(1)
embedding learning
(1)
knowledge distillation
(1)
reinforcement learning
(1)
Papers
Controllable Memorization in LLMs via Weight Pruning
EMNLP 2025
Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization
EMNLP 2025
Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes
CVPR 2024
Device-Wise Federated Network Pruning
CVPR 2024
BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks
CVPR 2024
Self-guided Knowledge-injected Graph Neural Network for Alzheimerβs Diseases
MICCAI 2024
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
EMNLP 2024
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
CVPR 2024
Structural Alignment for Network Pruning through Partial Regularization
ICCV 2023
Demystify the Gravity Well in the Optimization Landscape (Student Abstract)
AAAI 2023
Recover Fair Deep Classification Models via Altering Pre-trained Structure
ECCV 2022
Disentangled Differentiable Network Pruning
ECCV 2022
Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding
ICCV 2021
Exploration and Estimation for Model Compression
ICCV 2021
A Faster Decentralized Algorithm for Nonconvex Minimax Problems
NIPS 2021
Adversarial Nonnegative Matrix Factorization
ICML 2020
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
CORL 2018