Maying Shen

According to our database, Maying Shen authored at least 22 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training.

Feiyang Kang, Nadine Chang, Maying Shen, Marc T. Law, Rafid Mahmood, Ruoxi Jia, José M. Álvarez

CoRR, July, 2025

Generalized Trajectory Scoring for End-to-end Multimodal Planning.

Zhenxin Li, Wenhao Yao, Zi Wang, Xinglong Sun, Joshua Chen, Nadine Chang, Maying Shen, Zuxuan Wu, Shiyi Lan, José M. Álvarez

CoRR, June, 2025

Advancing Weight and Channel Sparsification with Enhanced Saliency.

Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, José M. Álvarez

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation.

Maying Shen, Nadine Chang, Sifei Liu, José M. Álvarez

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

MDP: Multidimensional Vision Model Pruning with Latency Constraint.

Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, José M. Álvarez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models.

Jenny Schmalfuss, Nadine Chang, Vibashan VS, Maying Shen, Andrés Bruhn, José M. Álvarez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers.

Alberto Gonzalo Rodriguez Salgado, Maying Shen, Philipp Harzig, Peter Mayer, José M. Álvarez

CoRR, 2024

Exploring Camera Encoder Designs for Autonomous Driving Perception.

Barath Lakshmanan, Joshua Chen, Shiyi Lan, Maying Shen, Zhiding Yu, José M. Álvarez

CoRR, 2024

Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint.

Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, José M. Álvarez

CoRR, 2024

Step Out and Seek Around: On Warm-Start Training with Incremental Data.

Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, José M. Álvarez

CoRR, 2024

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks.

Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Hardware-Aware Latency Pruning for Real-Time 3D Object Detection.

Maying Shen, Lei Mao, Joshua Chen, Justin Hsu, Xinglong Sun, Oliver Knieps, Carmen Maxim, José M. Álvarez

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Augmenting Legacy Networks for Flexible Inference.

Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Global Vision Transformer Pruning with Hessian-Aware Saliency.

Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Structural Pruning via Latency-Saliency Knapsack.

Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Soft Masking for Cost-Constrained Channel Pruning.

Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez

Proceedings of the Computer Vision - ECCV 2022, 2022

When to Prune? A Policy towards Early Structural Pruning.

Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

HALP: Hardware-Aware Latency Pruning.

Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez

CoRR, 2021

Optimal Quantization Using Scaled Codebook.

Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, José M. Álvarez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2018

Anomaly detection based on Nearest Neighbor search with Locality-Sensitive B-tree.

Maying Shen, Xinghao Jiang, Tanfeng Sun

Neurocomputing, 2018

2017

Anomaly Detection by Analyzing the Pedestrian Behavior and the Dynamic Changes of Behavior.

Maying Shen, Xinghao Jiang, Tanfeng Sun

Proceedings of the Intelligent Computing Theories and Application, 2017

2016

Crowd counting estimation in video surveillance based on linear regression function.

Maying Shen, Tanfeng Sun, Xinghao Jiang, Ke Xu

Proceedings of the 9th International Congress on Image and Signal Processing, 2016