| 2026 | ACL | Confidence-Aware Ranker Ensembles for Robust In-Context Knowledge Editing. | Tejal Nair, Mahmud Wasif Nafee, Maiqi Jiang, Ashley Gao, Haipeng Chen, Yanfu Zhang |
| 2026 | ACL | AffectCodec: Emotion-Preserving Neural Speech Codec for Expressive Speech Modeling. | Jiacheng Shi, Hongfei Du, Xinyuan Song, Y. Alicia Hong, Yanfu Zhang, Ashley Gao |
| 2025 | EMNLP | Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization. | Mahmud Wasif Nafee, Maiqi Jiang, Haipeng Chen, Yanfu Zhang |
| 2025 | EMNLP | Controllable Memorization in LLMs via Weight Pruning. | Chenjie Ni, Zhepeng Wang, Runxue Bao, Shangqian Gao, Yanfu Zhang |
| 2025 | ICANN | HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision. | Shengli Zhou, Jianuo Zhu, Qilin Huang, Fangjing Wang, Yanfu Zhang, Feng Zheng |
| 2025 | IJCNN | Safe Screening Rules for Group OWL Models. | Runxue Bao, Quanchao Lu, Yanfu Zhang |
| 2025 | Interspeech | CLEP-DG: Contrastive Learning for Speech Emotion Domain Generalization via Soft Prompt Tuning. | Jiacheng Shi, Yanfu Zhang, Ye Gao |
| 2024 | CVPR | Device-Wise Federated Network Pruning. | Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang |
| 2024 | CVPR | BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks. | Shangqian Gao, Yanfu Zhang, Feihu Huang, Heng Huang |
| 2024 | CVPR | Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes. | Liqiong Wang, Jinyu Yang, Yanfu Zhang, Fangyi Wang, Feng Zheng |
| 2024 | CVPR | 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, Heng Huang |
| 2024 | EMNLP | Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. | Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang |
| 2024 | MICCAI | Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. | Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang |
| 2023 | AAAI | 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 |
| 2023 | ICCV | Structural Alignment for Network Pruning through Partial Regularization. | Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang |
| 2022 | ECCV | Disentangled Differentiable Network Pruning. | Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang |
| 2022 | ECCV | Recover Fair Deep Classification Models via Altering Pre-trained Structure. | Yanfu Zhang, Shangqian Gao, Heng Huang |
| 2022 | ICDM | Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. | Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang |
| 2022 | KDD | Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. | Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang |
| 2022 | WWW | Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. | Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang |
| 2021 | ICCV | Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding. | Yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang |
| 2021 | ICCV | Exploration and Estimation for Model Compression. | Yanfu Zhang, Shangqian Gao, Heng Huang |
| 2021 | ICDM | Unified Fairness from Data to Learning Algorithm. | Yanfu Zhang, Lei Luo, Heng Huang |
| 2021 | MICCAI | Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. | Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang |
| 2020 | ICML | Adversarial Nonnegative Matrix Factorization. | Lei Luo, Yanfu Zhang, Heng Huang |
| 2019 | ICRA | Improved Generalization of Heading Direction Estimation for Aerial Filming Using Semi-Supervised Regression. | Wenshan Wang, Aayush Ahuja, Yanfu Zhang, Rogerio Bonatti, Sebastian A. Scherer |
| 2019 | MICCAI | 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, Heng Huang, Dan Schonfeld, Alex D. Leow |
| 2019 | MICCAI | Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. | Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang |
| 2019 | MICCAI | Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study. | Yanfu Zhang, Liang Zhan, Paul M. Thompson, Heng Huang |
| 2018 | CoRL | 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 |
| 2017 | ICIP | HazeRD: An outdoor scene dataset and benchmark for single image dehazing. | Yanfu Zhang, Li Ding, Gaurav Sharma |