Crowd counting estimation in video surveillance based on linear regression function. - Maying Shen; Tanfeng Sun; Xinghao Jiang; Ke Xu 003 (CISP-BMEI, 2016)

Anomaly Detection by Analyzing the Pedestrian Behavior and the Dynamic Changes of Behavior. - Maying Shen; Xinghao Jiang; Tanfeng Sun (ICIC (1), 2017)

Anomaly detection based on Nearest Neighbor search with Locality-Sensitive B-tree. - Maying Shen; Xinghao Jiang; Tanfeng Sun (Neurocomputing, 2018)

Optimal Quantization Using Scaled Codebook. - Yerlan Idelbayev; Pavlo Molchanov 001; Maying Shen; Hongxu Yin; Miguel Á. Carreira-Perpiñán; José M. Álvarez 004 (CVPR, 2021)

HALP: Hardware-Aware Latency Pruning. - Maying Shen; Hongxu Yin; Pavlo Molchanov 001; Lei Mao; Jianna Liu; José M. Álvarez 004 (CoRR, 2021)

When to Prune? A Policy towards Early Structural Pruning. - Maying Shen; Pavlo Molchanov 001; Hongxu Yin; José M. Álvarez 004 (CVPR, 2022)

Soft Masking for Cost-Constrained Channel Pruning. - Ryan Humble; Maying Shen; Jorge Albericio Latorre; Eric Darve; José M. Álvarez 004 (ECCV (11), 2022)

Structural Pruning via Latency-Saliency Knapsack. - Maying Shen; Hongxu Yin; Pavlo Molchanov 001; Lei Mao; Jianna Liu; José M. Álvarez 004 (NeurIPS, 2022)

Global Vision Transformer Pruning with Hessian-Aware Saliency. - Huanrui Yang; Hongxu Yin; Maying Shen; Pavlo Molchanov 001; Hai Li 001; Jan Kautz (CVPR, 2023)

Augmenting Legacy Networks for Flexible Inference. - Jason Clemons; Iuri Frosio; Maying Shen; José M. Álvarez 004; Stephen W. Keckler (IV, 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 004 (IV, 2023)

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. - Anna Bair; Hongxu Yin; Maying Shen; Pavlo Molchanov 001; José M. Álvarez 004 (ICLR, 2024)

Step Out and Seek Around: On Warm-Start Training with Incremental Data. - Maying Shen; Hongxu Yin; Pavlo Molchanov 001; Lei Mao; José M. Álvarez 004 (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 004 (CoRR, 2024)

Exploring Camera Encoder Designs for Autonomous Driving Perception. - Barath Lakshmanan; Joshua Chen; Shiyi Lan; Maying Shen; Zhiding Yu; José M. Álvarez 004 (CoRR, 2024)

Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers. - Alberto Gonzalo Rodriguez Salgado; Maying Shen; Philipp Harzig; Peter Mayer; José M. Álvarez 004 (CoRR, 2024)

PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models. - Jenny Schmalfuss; Nadine Chang; Vibashan VS; Maying Shen; Andrés Bruhn; José M. Álvarez 004 (CVPR, 2025)

MDP: Multidimensional Vision Model Pruning with Latency Constraint. - Xinglong Sun; Barath Lakshmanan; Maying Shen; Shiyi Lan; Jingde Chen; José M. Álvarez 004 (CVPR, 2025)

SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation. - Maying Shen; Nadine Chang; Sifei Liu; José M. Álvarez 004 (KDD (1), 2025)

Advancing Weight and Channel Sparsification with Enhanced Saliency. - Xinglong Sun; Maying Shen; Hongxu Yin; Lei Mao; Pavlo Molchanov 001; José M. Álvarez 004 (WACV, 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 004 (CoRR, 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 001; José M. Álvarez 004 (CoRR, 2025)