Sheng Yi

According to our database, Sheng Yi authored at least 30 papers between 2006 and 2024.

Collaborative distances:

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

2024

A Case Study of Integrating the Train-the-Trainer and Experiential Learning Models in Computer Skills Training.

Xuefei Deng, Sheng Yi

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2022

Weakly-supervised semantic segmentation with superpixel guided local and global consistency.

Sheng Yi, Huimin Ma, Xiang Wang, Tianyu Hu, Xi Li, Yu Wang

Pattern Recognit., 2022

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content.

Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, Tra My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundararajan Srinivasan, Vivek Gupta

CoRR, 2022

The Digital Divide in Online Education: A Study of Underserved College Students.

Xuefei Deng, Sheng Yi

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content.

Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, Tra My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundararajan Srinivasan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021

Distributed multi-munition cooperative guidance based on clock synchronization for switching and noisy networks.

Sheng Yi, Xiaoyu She, Dong Guo, Tong Zhao, Chengwei Yang, Jie Li

J. Supercomput., 2021

A Novel Convolutional Neural Network for Low-Speed Structural Fault Diagnosis Under Different Operating Condition and Its Understanding via Visualization.

Haihong Tang, Zhiqiang Liao, Peng Chen, Dunwen Zuo, Sheng Yi

IEEE Trans. Instrum. Meas., 2021

Single annotated pixel based weakly supervised semantic segmentation under driving scenes.

Xi Li, Huimin Ma, Sheng Yi, Yanxian Chen, Hongbing Ma

Pattern Recognit., 2021

Only Train Once: A One-Shot Neural Network Training And Pruning Framework.

Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

WSODPB: Weakly supervised object detection with PCSNet and box regression module.

Sheng Yi, Huimin Ma, Xi Li, Yu Wang

Neurocomputing, 2020

Neural Network Compression Via Sparse Optimization.

Tianyi Chen, Bo Ji, Yixin Shi, Tianyu Ding, Biyi Fang, Sheng Yi, Xiao Tu

CoRR, 2020

Orthant Based Proximal Stochastic Gradient Method for 𝓁₁-Regularized Optimization.

Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu

CoRR, 2020

Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class.

Xi Li, Huimin Ma, Sheng Yi, Yanxian Chen

CoRR, 2020

Orthant Based Proximal Stochastic Gradient Method for ℓ ₁-Regularized Optimization.

Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

WSOD with PSNet and Box Regression.

Sheng Yi, Xi Li, Huimin Ma

CoRR, 2019

Opioid Abuse Prediction Based on Multi-output Support Vector Regression.

Haifan Gong, Chaoqin Qian, Yue Wang, Jianfeng Yang, Sheng Yi, Zichen Xu

Proceedings of the 4th International Conference on Machine Learning Technologies, 2019

Modified Capsule Network for Object Classification.

Sheng Yi, Huimin Ma, Xi Li

Proceedings of the Image and Graphics - 10th International Conference, 2019

2014

Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach.

Sheng Yi, Hamid Krim

IEEE Trans. Image Process., 2014

False positive reduction of microcalcification cluster detection in digital breast tomosynthesis.

Ning Xu, Sheng Yi, Paulo R. S. Mendonça, Tai-Peng Tian, Ravi Samala, Heang-Ping Chan

Proceedings of the Medical Imaging 2014: Image Processing, 2014

2012

Human Activity as a Manifold-Valued Random Process.

Sheng Yi, Hamid Krim, Larry K. Norris

IEEE Trans. Image Process., 2012

2011

Human Activity Modeling as Brownian Motion on Shape Manifold.

Sheng Yi, Hamid Krim, Larry K. Norris

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

A invertible dimension reduction of curves on a manifold.

Sheng Yi, Hamid Krim, Larry K. Norris

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Human Activity Modeling on Shape Manifold.

Sheng Yi, Hamid Krim, Larry K. Norris

Proceedings of the 4th Eurographics Workshop on 3D Object Retrieval, 2011

2009

A Shearlet Approach to Edge Analysis and Detection.

Sheng Yi, Demetrio Labate, Glenn R. Easley, Hamid Krim

IEEE Trans. Image Process., 2009

Capturing human activity by a curve.

Sheng Yi, Hamid Krim

Proceedings of the International Conference on Image Processing, 2009

2008

Edge detection and processing using shearlets.

Sheng Yi, Demetrio Labate, Glenn R. Easley, Hamid Krim

Proceedings of the International Conference on Image Processing, 2008

2006

A new texture representation with multi-scale wavelet feature.

Sheng Yi, Hanqiang Cao, Xutao Li, Miao Liu

Proceedings of the Visual Information Processing XV, 2006

A new edge detection based on pyramid-structure wavelet transform.

Sheng Yi, Hanqiang Cao, Xutao Li, Miao Liu

Proceedings of the Visual Information Processing XV, 2006

Super resolution reconstruction based on motion estimation error and edge adaptive constraints.

Miao Liu, Hanqiang Cao, Xutao Li, Sheng Yi

Proceedings of the Visual Information Processing XV, 2006

Multiscale self-similarity features of terrain surface.

Xutao Li, Hanqiang Cao, Guangxi Zhu, Sheng Yi

Proceedings of the Visual Information Processing XV, 2006