| 2025 | ICLR | Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. | Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang |
| 2024 | AAAI | Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. | Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang |
| 2024 | CVPR | Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment. | Alireza Ganjdanesh, Shangqian Gao, Heng Huang |
| 2024 | ECCV | Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection. | Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang |
| 2023 | AAAI | EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs. | Alireza Ganjdanesh, Shangqian Gao, Heng Huang |
| 2022 | ECCV | Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. | Alireza Ganjdanesh, Shangqian Gao, Heng Huang |
| 2022 | RECOMB | Multi-modal Genotype and Phenotype Mutual Learning to Enhance Single-Modal Input Based Longitudinal Outcome Prediction. | Alireza Ganjdanesh, Jipeng Zhang, Wei Chen, Heng Huang |
| 2020 | MICCAI | Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. | Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai, Heng Huang |