Shen, Maying

12 publications

WACV 2025 Advancing Weight and Channel Sparsification with Enhanced Saliency Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, Jose M. Alvarez

CVPR 2025 MDP: Multidimensional Vision Model Pruning with Latency Constraint Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, Jose M. Alvarez

CVPR 2025 PARC: A Quantitative Framework Uncovering the Symmetries Within Vision Language Models Jenny Schmalfuss, Nadine Chang, Vibashan Vs, Maying Shen, Andres Bruhn, Jose M. Alvarez

ICLR 2024 Adaptive Sharpness-Aware Pruning for Robust Sparse Networks Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, Jose M. Alvarez

NeurIPSW 2023 Adaptive Sharpness-Aware Pruning for Robust Sparse Networks Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, Jose M. Alvarez

NeurIPSW 2023 Adaptive Sharpness-Aware Pruning for Robust Sparse Networks Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, Jose M. Alvarez

CVPR 2023 Global Vision Transformer Pruning with Hessian-Aware Saliency Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz

ECCVW 2022 Augmenting Legacy Networks for Flexible Inference Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler

ECCV 2022 Soft Masking for Cost-Constrained Channel Pruning Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, Jose Alvarez

NeurIPS 2022 Structural Pruning via Latency-Saliency Knapsack Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez

CVPR 2022 When to Prune? a Policy Towards Early Structural Pruning Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez

CVPR 2021 Optimal Quantization Using Scaled Codebook Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel A. Carreira-Perpinan, Jose M. Alvarez