Yanfu Zhang
18 papers · 2018–2025 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (40) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(10)
🗃️
Keyword Collector
(78)
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🌈
Renaissance Researcher
(6)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(9)
Artificial Intelligence
(8)
Deep Learning
(7)
Core AI
(7)
Application Areas
(6)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Speech & Audio
(1)
Analysis
(1)
Keywords
channel pruning
(3)
model compression
(3)
data memorization
(2)
network pruning
(2)
convolutional neural network
(2)
bilevel optimization
(2)
large language model
(2)
stochastic gradient
(1)
neural network pruning
(1)
federated learning
(1)
semantic segmentation
(1)
adversarial robustness
(1)
non-convex optimization
(1)
policy optimization
(1)
stochastic gradient descent
(1)
reinforcement learning
(1)
neural network compression
(1)
embedding learning
(1)
optimal transport
(1)
curriculum learning
(1)
Papers
CLEP-DG: Contrastive Learning for Speech Emotion Domain Generalization via Soft Prompt Tuning
Interspeech 2025
Controllable Memorization in LLMs via Weight Pruning
EMNLP 2025
Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization
EMNLP 2025
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
Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes
CVPR 2024
Device-Wise Federated Network Pruning
CVPR 2024
Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases
MICCAI 2024
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
EMNLP 2024
Demystify the Gravity Well in the Optimization Landscape (Student Abstract)
AAAI 2023
Structural Alignment for Network Pruning through Partial Regularization
ICCV 2023
Disentangled Differentiable Network Pruning
ECCV 2022
Recover Fair Deep Classification Models via Altering Pre-trained Structure
ECCV 2022
A Faster Decentralized Algorithm for Nonconvex Minimax Problems
NeurIPS 2021
Exploration and Estimation for Model Compression
ICCV 2021
Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding
ICCV 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