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2020 – today
- 2024
[c11]Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez:
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. ICLR 2024- [i9]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, José M. Álvarez:
Step Out and Seek Around: On Warm-Start Training with Incremental Data. CoRR abs/2406.04484 (2024) - [i8]Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, José M. Álvarez:
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint. CoRR abs/2406.12079 (2024) - [i7]Barath Lakshmanan, Joshua Chen, Shiyi Lan, Maying Shen, Zhiding Yu, José M. Álvarez:
Exploring Camera Encoder Designs for Autonomous Driving Perception. CoRR abs/2407.07276 (2024) - [i6]Maying Shen, Nadine Chang, Sifei Liu, José M. Álvarez:
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation. CoRR abs/2409.13860 (2024) - 2023
- [c10]Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz:
Global Vision Transformer Pruning with Hessian-Aware Saliency. CVPR 2023: 18547-18557 - [c9]Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler:
Augmenting Legacy Networks for Flexible Inference. IV 2023: 1-8 - [c8]Maying Shen, Lei Mao, Joshua Chen, Justin Hsu, Xinglong Sun, Oliver Knieps, Carmen Maxim, José M. Álvarez:
Hardware-Aware Latency Pruning for Real-Time 3D Object Detection. IV 2023: 1-6 - [i5]Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez:
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. CoRR abs/2306.14306 (2023) - 2022
- [c7]Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez:
When to Prune? A Policy towards Early Structural Pruning. CVPR 2022: 12237-12246 - [c6]Jason Clemons
, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler:
Augmenting Legacy Networks for Flexible Inference. ECCV Workshops (7) 2022: 84-98 - [c5]Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez:
Soft Masking for Cost-Constrained Channel Pruning. ECCV (11) 2022: 641-657 - [c4]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez:
Structural Pruning via Latency-Saliency Knapsack. NeurIPS 2022 - [i4]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez:
Structural Pruning via Latency-Saliency Knapsack. CoRR abs/2210.06659 (2022) - [i3]Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez:
Soft Masking for Cost-Constrained Channel Pruning. CoRR abs/2211.02206 (2022) - 2021
- [c3]Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, José M. Álvarez:
Optimal Quantization Using Scaled Codebook. CVPR 2021: 12095-12104 - [i2]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez:
HALP: Hardware-Aware Latency Pruning. CoRR abs/2110.10811 (2021) - [i1]Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez:
When to Prune? A Policy towards Early Structural Pruning. CoRR abs/2110.12007 (2021)
2010 – 2019
- 2018
- [j1]Maying Shen, Xinghao Jiang, Tanfeng Sun:
Anomaly detection based on Nearest Neighbor search with Locality-Sensitive B-tree. Neurocomputing 289: 55-67 (2018) - 2017
- [c2]Maying Shen, Xinghao Jiang, Tanfeng Sun:
Anomaly Detection by Analyzing the Pedestrian Behavior and the Dynamic Changes of Behavior. ICIC (1) 2017: 211-222 - 2016
- [c1]Maying Shen, Tanfeng Sun, Xinghao Jiang, Ke Xu:
Crowd counting estimation in video surveillance based on linear regression function. CISP-BMEI 2016: 60-65
Coauthor Index
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