Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. - Alireza Ganjdanesh; Kamran Ghasedi; Liang Zhan; Weidong Cai 001; Heng Huang (MICCAI (1), 2020)

Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. - Alireza Ganjdanesh; Shangqian Gao; Heng Huang (ECCV (21), 2022)

Multi-modal Genotype and Phenotype Mutual Learning to Enhance Single-Modal Input Based Longitudinal Outcome Prediction. - Alireza Ganjdanesh; Jipeng Zhang; Wei Chen 074; Heng Huang (RECOMB, 2022)

Multimodal Genotype and Phenotype Data Integration to Improve Partial Data-Based Longitudinal Prediction. - Alireza Ganjdanesh; Jipeng Zhang; Sarah Yan; Wei Chen 074; Heng Huang (J. Comput. Biol., 2022)

EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs. - Alireza Ganjdanesh; Shangqian Gao; Heng Huang (AAAI, 2023)

Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. - Alireza Ganjdanesh; Shangqian Gao; Hirad Alipanah; Heng Huang (AAAI, 2024)

Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment. - Alireza Ganjdanesh; Shangqian Gao; Heng Huang (CVPR, 2024)

Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection. - Alireza Ganjdanesh; Yan Kang; Yuchen Liu; Richard Zhang; Zhe Lin; Heng Huang (ECCV (61), 2024)

From Pixels to Prose: A Large Dataset of Dense Image Captions. - Vasu Singla; Kaiyu Yue; Sukriti Paul; Reza Shirkavand; Mayuka Jayawardhana; Alireza Ganjdanesh; Heng Huang; Abhinav Bhatele; Gowthami Somepalli; Tom Goldstein (CoRR, 2024)

Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. - Alireza Ganjdanesh; Reza Shirkavand; Shangqian Gao; Heng Huang (ICLR, 2025)

ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning. - Shangqian Gao; Ting Hua; Reza Shirkavand; Chi-Heng Lin; Zhen Tang; Zhengao Li; Longge Yuan; Fangyi Li; Zeyu Zhang; Alireza Ganjdanesh; Qian Lou; Xu Jie; et al. (CoRR, 2025)