| Interpretations steered network pruning via amortized inferred saliency maps A Ganjdanesh, S Gao, H Huang European Conference on Computer Vision, 278-296, 2022 | 22 | 2022 |
| LONGL-Net: temporal correlation structure guided deep learning model to predict longitudinal age-related macular degeneration severity A Ganjdanesh, J Zhang, EY Chew, Y Ding, H Huang, W Chen PNAS nexus 1 (1), pgab003, 2022 | 15 | 2022 |
| From Pixels to Prose: A Large Dataset of Dense Image Captions V Singla, K Yue, S Paul, R Shirkavand, M Jayawardhana, A Ganjdanesh, ... arXiv preprint arXiv:2406.10328, 2024 | 14 | 2024 |
| Compressing image-to-image translation gans using local density structures on their learned manifold A Ganjdanesh, S Gao, H Alipanah, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12118 …, 2024 | 9 | 2024 |
| EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs A Ganjdanesh, S Gao, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7604-7612, 2023 | 8 | 2023 |
| Mixture of efficient diffusion experts through automatic interval and sub-network selection A Ganjdanesh, Y Kang, Y Liu, R Zhang, Z Lin, H Huang European Conference on Computer Vision, 54-71, 2024 | 6 | 2024 |
| Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment A Ganjdanesh, S Gao, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Predicting potential propensity of adolescents to drugs via new semi-supervised deep ordinal regression model A Ganjdanesh, K Ghasedi, L Zhan, W Cai, H Huang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 4 | 2020 |
| Multimodal genotype and phenotype data integration to improve partial data-based longitudinal prediction A Ganjdanesh, J Zhang, S Yan, W Chen, H Huang Journal of Computational Biology 29 (12), 1324-1345, 2022 | 2 | 2022 |
| Multi-modal genotype and phenotype mutual learning to enhance single-modal input based longitudinal outcome prediction A Ganjdanesh, J Zhang, W Chen, H Huang International Conference on Research in Computational Molecular Biology, 209-229, 2022 | 2 | 2022 |
| Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models A Ganjdanesh, R Shirkavand, S Gao, H Huang arXiv preprint arXiv:2406.12042, 2024 | 1 | 2024 |
| ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning S Gao, T Hua, R Shirkavand, CH Lin, Z Tang, Z Li, L Yuan, F Li, Z Zhang, ... arXiv preprint arXiv:2501.15316, 2025 | | 2025 |
| From Multi-Modal Genotype and Phenotype Mutual Learning to Single-Modal Input for Longitudinal Outcome Prediction A Ganjdanesh, J Zhang, W Chen, H Huang The 26th International Conference on Research in Computational Molecular …, 2022 | | 2022 |
| Supplementary Materials for Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection A Ganjdanesh, Y Kang, Y Liu, R Zhang, Z Lin, H Huang | | |
| Supplementary Materials for LONGL-Net: Temporal Correlation Structure Guided Deep Learning Model to Predict Longitudinal Age-related Macular Degeneration Severity A Ganjdanesh, J Zhang, EY Chew, Y Ding, H Huang, W Chen | | |
| Supplementary Materials for Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps A Ganjdanesh, S Gao, H Huang | | |
Heng HuangBrendan Iribe Endowed Professor in Computer Science, University Maryland College ParkBestätigte E-Mail-Adresse bei umd.edu
