Yanfu Zhang

Orcid: 0000-0002-0183-925X

According to our database1, Yanfu Zhang authored at least 34 papers between 2015 and 2024.

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Bibliography

2024
UniAV: Unified Audio-Visual Perception for Multi-Task Video Localization.
CoRR, 2024

Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Neurodegenerative Disease Prediction via Transferable Deep Networks.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Brain Image Synthesis Using Incomplete Multimodal Data.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Device-Wise Federated Network Pruning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Structural Alignment for Network Pruning through Partial Regularization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Demystify the Gravity Well in the Optimization Landscape (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
HazeRD: An Outdoor Scene Dataset and Benchmark for Single Image Dehazing.
Dataset, May, 2022

Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning.
Proceedings of the IEEE International Conference on Data Mining, 2022

Recover Fair Deep Classification Models via Altering Pre-trained Structure.
Proceedings of the Computer Vision - ECCV 2022, 2022

Disentangled Differentiable Network Pruning.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm.
CoRR, 2021

A Faster Decentralized Algorithm for Nonconvex Minimax Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Unified Fairness from Data to Learning Algorithm.
Proceedings of the IEEE International Conference on Data Mining, 2021

Exploration and Estimation for Model Compression.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Adversarial Nonnegative Matrix Factorization.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Local-linear-fitting-based matting for joint hole filling and depth upsampling of RGB-D images.
J. Electronic Imaging, 2019

Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

New Graph-Blind Convolutional Network for Brain Connectome Data Analysis.
Proceedings of the Information Processing in Medical Imaging, 2019

Improved Generalization of Heading Direction Estimation for Aerial Filming Using Semi-Supervised Regression.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Autonomous Drone Cinematographer: Using Artistic Principles to Create Smooth, Safe, Occlusion-Free Trajectories for Aerial Filming.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
HazeRD: An outdoor scene dataset and benchmark for single image dehazing.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2015
Multi-Focus Image Fusion Based on Spatial Frequency in Discrete Cosine Transform Domain.
IEEE Signal Process. Lett., 2015


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