Multi-Focus Image Fusion Based on Spatial Frequency in Discrete Cosine Transform Domain. - Liu Cao; Longxu Jin; Hongjiang Tao; Guoning Li; Zhuang Zhuang; Yanfu Zhang (IEEE Signal Process. Lett., 2015)

HazeRD: An outdoor scene dataset and benchmark for single image dehazing. - Yanfu Zhang; Li Ding 009; Gaurav Sharma 001 (ICIP, 2017)

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories. - Yanfu Zhang; Wenshan Wang; Rogerio Bonatti; Daniel Maturana; Sebastian A. Scherer (CoRL, 2018)

Autonomous Drone Cinematographer: Using Artistic Principles to Create Smooth, Safe, Occlusion-Free Trajectories for Aerial Filming. - Rogerio Bonatti; Yanfu Zhang; Sanjiban Choudhury; Wenshan Wang; Sebastian A. Scherer (ISER, 2018)

Improved Generalization of Heading Direction Estimation for Aerial Filming Using Semi-Supervised Regression. - Wenshan Wang; Aayush Ahuja; Yanfu Zhang; Rogerio Bonatti; Sebastian A. Scherer (ICRA, 2019)

New Graph-Blind Convolutional Network for Brain Connectome Data Analysis. - Yanfu Zhang; Heng Huang (IPMI, 2019)

Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function. - Igor Fortel; Mitchell Butler; Laura E. Korthauer; Liang Zhan; Olusola Ajilore; Ira Driscoll; Anastasios Sidiropoulos; Yanfu Zhang; Lei Guo 028; Heng Huang; Dan Schonfeld; Alex D. Leow (MICCAI (5), 2019)

Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. - Yanfu Zhang; Liang Zhan; Weidong Cai 001; Paul Thompson 001; Heng Huang (MICCAI (4), 2019)

Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study. - Yanfu Zhang; Liang Zhan; Paul M. Thompson; Heng Huang (MBIA/MFCA@MICCAI, 2019)

Local-linear-fitting-based matting for joint hole filling and depth upsampling of RGB-D images. - Yanfu Zhang; Li Ding 009; Gaurav Sharma 001 (J. Electronic Imaging, 2019)

Adversarial Nonnegative Matrix Factorization. - Lei Luo 001; Yanfu Zhang; Heng Huang (ICML, 2020)

Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding. - Yanfu Zhang; Lei Luo 001; Wenhan Xian; Heng Huang (ICCV, 2021)

Exploration and Estimation for Model Compression. - Yanfu Zhang; Shangqian Gao; Heng Huang (ICCV, 2021)

Unified Fairness from Data to Learning Algorithm. - Yanfu Zhang; Lei Luo 001; Heng Huang (ICDM, 2021)

Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. - Yanfu Zhang; Liang Zhan; Shandong Wu; Paul M. Thompson; Heng Huang (MICCAI (7), 2021)

A Faster Decentralized Algorithm for Nonconvex Minimax Problems. - Wenhan Xian; Feihu Huang 001; Yanfu Zhang; Heng Huang (NeurIPS, 2021)

Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm. - Bin Gu 001; Guodong Liu; Yanfu Zhang; Xiang Geng; Heng Huang (CoRR, 2021)

Disentangled Differentiable Network Pruning. - Shangqian Gao; Feihu Huang 001; Yanfu Zhang; Heng Huang (ECCV (11), 2022)

Recover Fair Deep Classification Models via Altering Pre-trained Structure. - Yanfu Zhang; Shangqian Gao; Heng Huang (ECCV (13), 2022)

Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. - Yanfu Zhang; Runxue Bao; Jian Pei 001; Heng Huang (ICDM, 2022)

Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. - Yanfu Zhang; Shangqian Gao; Jian Pei 001; Heng Huang (KDD, 2022)

Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. - Yanfu Zhang; Hongchang Gao; Jian Pei 001; Heng Huang (WWW, 2022)

HazeRD: An Outdoor Scene Dataset and Benchmark for Single Image Dehazing. - Yanfu Zhang; Li Ding 009; Gaurav Sharma 001 (IEEE DataPort, 2022)

Demystify the Gravity Well in the Optimization Landscape (Student Abstract). - Jason Xiaotian Dou; Runxue Bao; Susan Song; Shuran Yang; Yanfu Zhang; Paul Pu Liang; Haiyi Harry Mao (AAAI, 2023)

Structural Alignment for Network Pruning through Partial Regularization. - Shangqian Gao; Zeyu Zhang; Yanfu Zhang; Feihu Huang 001; Heng Huang (ICCV, 2023)

Device-Wise Federated Network Pruning. - Shangqian Gao; Junyi Li; Zeyu Zhang; Yanfu Zhang; Weidong Cai 001; Heng Huang (CVPR, 2024)

BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks. - Shangqian Gao; Yanfu Zhang; Feihu Huang 001; Heng Huang (CVPR, 2024)

Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes. - Liqiong Wang; Jinyu Yang; Yanfu Zhang; Fangyi Wang; Feng Zheng (CVPR, 2024)

Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. - Xidong Wu; Shangqian Gao; Zeyu Zhang; Zhenzhen Li; Runxue Bao; Yanfu Zhang; Xiaoqian Wang 001; Heng Huang (CVPR, 2024)

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. - Zhepeng Wang 001; Runxue Bao; Yawen Wu; Jackson Taylor; Cao Xiao; Feng Zheng; Weiwen Jiang; Shangqian Gao; Yanfu Zhang (EMNLP, 2024)

Edge-Aware Dual Branch Network for Nucleus Instance Segmentation. - Junzhou Chen 002; Yanfu Zhang; Sidi Lu (SEC, 2024)

Brain Image Synthesis Using Incomplete Multimodal Data. - Yanfu Zhang; Guodong Liu; Runxue Bao; Liang Zhan; Paul Thompson 001; Heng Huang (ISBI, 2024)

Neurodegenerative Disease Prediction via Transferable Deep Networks. - Yanfu Zhang; Guodong Liu; Runxue Bao; Liang Zhan; Paul Thompson 001; Heng Huang (ISBI, 2024)

Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. - Zhepeng Wang 001; Runxue Bao; Yawen Wu; Guodong Liu; Lei Yang 018; Liang Zhan; Feng Zheng; Weiwen Jiang; Yanfu Zhang (MICCAI (2), 2024)

MedGraphNet: Leveraging Multi-Relational Graph Neural Networks and Text Knowledge for Biomedical Predictions. - Oladimeji Macaulay; Michael Servilla; Kushal Virupakshappa; David Arredondo; Yue Hu; Luis E. Tafoya; Yanfu Zhang; Avinash Sahu (MLCB, 2024)

UniAV: Unified Audio-Visual Perception for Multi-Task Video Localization. - Tiantian Geng; Teng Wang; Yanfu Zhang; Jinming Duan 001; Weili Guan; Feng Zheng (CoRR, 2024)

IMUVIE: Pickup Timeline Action Localization via Motion Movies. - John Clapham; Kenneth Koltermann; Yanfu Zhang; Yuming Sun; Evie N. Burnet; Gang Zhou (CoRR, 2024)

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases. - Zhepeng Wang 001; Runxue Bao; Yawen Wu; Guodong Liu; Lei Yang 018; Liang Zhan; Feng Zheng; Weiwen Jiang; Yanfu Zhang (CoRR, 2024)

RoboReflect: Robotic Reflective Reasoning for Grasping Ambiguous-Condition Objects. - Zhen Luo; Yixuan Yang; Chang Cai; Yanfu Zhang; Feng Zheng (CoRR, 2025)

Safe Screening Rules for Group OWL Models. - Runxue Bao; Quanchao Lu 002; Yanfu Zhang (CoRR, 2025)

Explore the vulnerability of black-box models via diffusion models. - Jiacheng Shi; Yanfu Zhang; Huajie Shao; Ashley Gao (CoRR, 2025)

HiSin: Efficient High-Resolution Sinogram Inpainting via Resolution-Guided Progressive Inference. - Jiaze E; Srutarshi Banerjee; Tekin Bicer; Guannan Wang; Yanfu Zhang; Bin Ren (CoRR, 2025)

Safe Screening Rules for Group SLOPE. - Runxue Bao; Quanchao Lu 002; Yanfu Zhang (CoRR, 2025)

HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision. - Shengli Zhou; Jianuo Zhu; Qilin Huang; Fangjing Wang; Yanfu Zhang; Feng Zheng (CoRR, 2025)

CLEP-DG: Contrastive Learning for Speech Emotion Domain Generalization via Soft Prompt Tuning. - Jiacheng Shi; Yanfu Zhang; Ye Gao (CoRR, 2025)