Alireza Ganjdanesh

17 papers A* 4B 1Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning. Trans. Mach. Learn. Res. Shangqian Gao, Ting Hua, Reza Shirkavand, Chi-Heng Lin, Zheng Tang, Zhengao Li, Longge Yuan, Fangyi Li, Zeyu Zhang, Alireza Ganjdanesh, Qian Lou, Jie Xu, Yen-Chang Hsu
2025	A*	`conf`	Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. ICLR Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang
2025	J	`jnl`	ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning. CoRR 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, Yen-Chang Hsu
2024	A*	`conf`	Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. AAAI Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang
2024	J	`jnl`	From Pixels to Prose: A Large Dataset of Dense Image Captions. CoRR Vasu Singla, Kaiyu Yue, Sukriti Paul, Reza Shirkavand, Mayuka Jayawardhana, Alireza Ganjdanesh, Heng Huang, Abhinav Bhatele, Gowthami Somepalli, Tom Goldstein
2024	A*	`conf`	Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment. CVPR Alireza Ganjdanesh, Shangqian Gao, Heng Huang
2024	J	`jnl`	Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment. CoRR Alireza Ganjdanesh, Shangqian Gao, Heng Huang
2024	J	`jnl`	Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection. CoRR Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang
2024	—	`conf`	Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection. ECCV (61) Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang
2024	J	`jnl`	Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. CoRR Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang
2023	J	`jnl`	Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. CoRR Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang
2023	A*	`conf`	EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs. AAAI Alireza Ganjdanesh, Shangqian Gao, Heng Huang
2022	—	`conf`	Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. ECCV (21) Alireza Ganjdanesh, Shangqian Gao, Heng Huang
2022	J	`jnl`	Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. CoRR Alireza Ganjdanesh, Shangqian Gao, Heng Huang
2022	B	`conf`	Multi-modal Genotype and Phenotype Mutual Learning to Enhance Single-Modal Input Based Longitudinal Outcome Prediction. RECOMB Alireza Ganjdanesh, Jipeng Zhang, Wei Chen, Heng Huang
2022	J	`jnl`	Multimodal Genotype and Phenotype Data Integration to Improve Partial Data-Based Longitudinal Prediction. J. Comput. Biol. Alireza Ganjdanesh, Jipeng Zhang, Sarah Yan, Wei Chen, Heng Huang
2020	—	`conf`	Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. MICCAI (1) Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai, Heng Huang