Alireza’s Homepage

Hi! I am a Ph.D. Candidate at the Computer Science Department at University of Maryland College Park, advised by Prof. Heng Huang. Previously, I was a Ph.D. student at ECE Department at University of Pittsburgh before our group moving to UMD.

My research interests are generative modeling and making deep neural networks efficient and deployable in real-world applications. I am also interested in automated medical image analysis.

I spent Summer 2023 as a research scientist intern at Adobe Research, Seattle, where I worked on architectural efficiency of diffusion models and was fortunate to have Yan Kang, Yuchen Liu, Richard Zhang, and Zhe Lin as my mentors. I was also a Deep Learning Intern at Enlitic in Summer 2021.

I got my Bachelor of Science (B.Sc) from University of Tehran, working with Dr. Reshad Hosseini on 3D Reconstruction of Symmetric Structures where I was a member of Computational Audio-Vision Lab.

News

[Feb. 2024] Our paper, “Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment” got accepted to CVPR 2024. Excited to visit the beautiful Seattle again!
[Nov. 2023] Our paper, “Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold” got accepted to AAAI 2024.
[May. 2023] I started my internship as a research scientist intern at Adobe Research.
[Nov. 2022] Our paper, “EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs” got accepted to AAAI 2023.
[Jun. 2022] Our paper, “Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps” got accepted to ECCV 2022.