Scholar
Alireza Ganjdanesh
Google Scholar ID: T0TdGgwAAAAJ
Ph.D. Candidate, University of Maryland, College Park
Citations & Impact
Citations
161
H-index
7
i10-index
7
Publications
18
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Papers accepted: 'Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment' at CVPR 2024; 'Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold' at AAAI 2024; 'EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs' at AAAI 2023; 'Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps' at ECCV 2022.
Research Experience
- Summer 2023 research scientist intern at Adobe Research, Seattle, working on architectural efficiency of diffusion models, mentored by Yan Kang, Yuchen Liu, Richard Zhang, and Zhe Lin; Deep Learning Intern at Enlitic in Summer 2021.
Education
- Ph.D. Student at the Computer Science Department, University of Maryland, College Park, advised by Prof. Heng Huang; previously a Ph.D. student at ECE Department, University of Pittsburgh; Bachelor of Science (B.Sc) from University of Tehran, working with Dr. Reshad Hosseini on 3D Reconstruction of Symmetric Structures, member of Computational Audio-Vision Lab.
Background
- Research interests include generative modeling, making deep neural networks efficient and deployable in real-world applications, and automated medical image analysis.
Miscellany
- Conference Reviewer: KDD 2020, CIKM 2021, ICLR 2023, CVPR 2023, ICCV 2023, AAAI 2023, MICCAI 2024, ECCV 2024; Journal Reviewer: TNNLS 2023, American Journal of Human Genetics (AJHG) 2020.
