Maying Shen

34 papers A* 7A 1C 2Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training.
CoRR
Feiyang Kang, Nadine Chang, Maying Shen, Marc T. Law, Rafid Mahmood, Ruoxi Jia, José M. Álvarez
2025 A conf
Advancing Weight and Channel Sparsification with Enhanced Saliency.
WACV
Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, José M. Álvarez
2025 J jnl
Advancing Weight and Channel Sparsification with Enhanced Saliency.
CoRR
Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, José M. Álvarez
2025 J jnl
DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language Models.
CoRR
Jingyu Song, Zhenxin Li, Shiyi Lan, Xinglong Sun, Nadine Chang, Maying Shen, Joshua Chen, Katherine A. Skinner, José M. Álvarez
2025 J jnl
Generalized Trajectory Scoring for End-to-end Multimodal Planning.
CoRR
Zhenxin Li, Wenhao Yao, Zi Wang, Xinglong Sun, Joshua Chen, Nadine Chang, Maying Shen, Zuxuan Wu, Shiyi Lan, José M. Álvarez
2025 A* conf
MDP: Multidimensional Vision Model Pruning with Latency Constraint.
CVPR
Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, José M. Álvarez
2025 J jnl
MDP: Multidimensional Vision Model Pruning with Latency Constraint.
CoRR
Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, José M. Álvarez
2025 J jnl
Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection.
CoRR
Shan Wang, Maying Shen, Nadine Chang, Chuong Nguyen, Hongdong Li, José M. Álvarez
2025 A* conf
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models.
CVPR
Jenny Schmalfuss, Nadine Chang, Vibashan VS, Maying Shen, Andrés Bruhn, José M. Álvarez
2025 J jnl
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models.
CoRR
Jenny Schmalfuss, Nadine Chang, Vibashan VS, Maying Shen, Andrés Bruhn, José M. Álvarez
2025 — conf
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation.
KDD (1)
Maying Shen, Nadine Chang, Sifei Liu, José M. Álvarez
2025 J jnl
ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring.
CoRR
Zhenxin Li, Wenhao Yao, Zi Wang, Xinglong Sun, Jingde Chen, Nadine Chang, Maying Shen, Jingyu Song, Zuxuan Wu, Shiyi Lan, José M. Álvarez
2024 A* conf
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks.
ICLR
Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez
2024 J jnl
Exploring Camera Encoder Designs for Autonomous Driving Perception.
CoRR
Barath Lakshmanan, Joshua Chen, Shiyi Lan, Maying Shen, Zhiding Yu, José M. Álvarez
2024 J jnl
Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers.
CoRR
Alberto Gonzalo Rodriguez Salgado, Maying Shen, Philipp Harzig, Peter Mayer, José M. Álvarez
2024 J jnl
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint.
CoRR
Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, José M. Álvarez
2024 J jnl
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation.
CoRR
Maying Shen, Nadine Chang, Sifei Liu, José M. Álvarez
2024 J jnl
Step Out and Seek Around: On Warm-Start Training with Incremental Data.
CoRR
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, José M. Álvarez
2023 J jnl
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks.
CoRR
Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez
2023 C conf
Augmenting Legacy Networks for Flexible Inference.
IV
Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler
2023 A* conf
Global Vision Transformer Pruning with Hessian-Aware Saliency.
CVPR
Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz
2023 C conf
Hardware-Aware Latency Pruning for Real-Time 3D Object Detection.
IV
Maying Shen, Lei Mao, Joshua Chen, Justin Hsu, Xinglong Sun, Oliver Knieps, Carmen Maxim, José M. Álvarez
2022 — conf
Augmenting Legacy Networks for Flexible Inference.
ECCV Workshops (7)
Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler
2022 — conf
Soft Masking for Cost-Constrained Channel Pruning.
ECCV (11)
Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez
2022 J jnl
Soft Masking for Cost-Constrained Channel Pruning.
CoRR
Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez
2022 A* conf
Structural Pruning via Latency-Saliency Knapsack.
NeurIPS
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez
2022 J jnl
Structural Pruning via Latency-Saliency Knapsack.
CoRR
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez
2022 A* conf
When to Prune? A Policy towards Early Structural Pruning.
CVPR
Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez
2021 J jnl
HALP: Hardware-Aware Latency Pruning.
CoRR
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez
2021 A* conf
Optimal Quantization Using Scaled Codebook.
CVPR
Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, José M. Álvarez
2021 J jnl
When to Prune? A Policy towards Early Structural Pruning.
CoRR
Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez
2018 J jnl
Anomaly detection based on Nearest Neighbor search with Locality-Sensitive B-tree.
Neurocomputing
Maying Shen, Xinghao Jiang, Tanfeng Sun
2017 — conf
Anomaly Detection by Analyzing the Pedestrian Behavior and the Dynamic Changes of Behavior.
ICIC (1)
Maying Shen, Xinghao Jiang, Tanfeng Sun
2016 — conf
Crowd counting estimation in video surveillance based on linear regression function.
CISP-BMEI
Maying Shen, Tanfeng Sun, Xinghao Jiang, Ke Xu