Siwei Feng

According to our database, Siwei Feng authored at least 36 papers between 2014 and 2024.

Collaborative distances:

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

2024

MMVFL: A Simple Vertical Federated Learning Framework for Multi-Class Multi-Participant Scenarios.

Siwei Feng, Han Yu, Yuebing Zhu

Sensors, January, 2024

2023

Minimizing running buffers for tabletop object rearrangement: Complexity, fast algorithms, and applications.

Kai Gao, Si Wei Feng, Baichuan Huang, Jingjin Yu

Int. J. Robotics Res., September, 2023

Efficient Algorithms for Boundary Defense with Heterogeneous Defenders.

Si Wei Feng, Jingjin Yu

CoRR, 2023

Wavelet-Based Semantic Feature Representation for Hyperspectral Signature Discrimination.

Siwei Feng

IEEE Access, 2023

Optimal and Stable Multi-Layer Object Rearrangement on a Tabletop.

Andy Xu, Kai Gao, Si Wei Feng, Jingjin Yu

IROS, 2023

Optimal Allocation of Many Robot Guards for Sweep-Line Coverage.

Si Wei Feng, Teng Guo, Jingjin Yu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Federated Learning for Personalized Humor Recognition.

Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao

ACM Trans. Intell. Syst. Technol., 2022

Semi-Supervised Federated Heterogeneous Transfer Learning.

Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang

Knowl. Based Syst., 2022

Vertical federated learning-based feature selection with non-overlapping sample utilization.

Siwei Feng

Expert Syst. Appl., 2022

Polynomial Time Near-Time-Optimal Multi-Robot Path Planning in Three Dimensions with Applications to Large-Scale UAV Coordination.

Teng Guo, Si Wei Feng, Jingjin Yu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Barrier Forming: Separating Polygonal Sets with Minimum Number of Lines.

Si Wei Feng, Jingjin Yu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Rubik Tables, Stack Rearrangement, and Multi-Robot Path Planning.

Teng Guo, Si Wei Feng, Mario Szegedy, Jingjin Yu

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

Team RuBot's experiences and lessons from the ARIAC.

Si Wei Feng, Teng Guo, Kostas E. Bekris, Jingjin Yu

Robotics Comput. Integr. Manuf., 2021

On Minimizing the Number of Running Buffers for Tabletop Rearrangement.

Kai Gao, Siwei Feng, Jingjin Yu

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Sensor Placement for Globally Optimal Coverage of 3D-Embedded Surfaces.

Si Wei Feng, Kai Gao, Jie Gong, Jingjin Yu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Toward Fully Automated Metal Recycling using Computer Vision and Non-Prehensile Manipulation.

Shuai D. Han, Baichuan Huang, Sijie Ding, Changkyu Song, Si Wei Feng, Ming Xu, Hao Lin, Qingze Zou, Abdeslam Boularias, Jingjin Yu

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Toward Fast and Optimal Robotic Pick-and-Place on a Moving Conveyor.

Shuai D. Han, Si Wei Feng, Jingjin Yu

IEEE Robotics Autom. Lett., 2020

Optimal Perimeter Guarding With Heterogeneous Robot Teams: Complexity Analysis and Effective Algorithms.

Si Wei Feng, Jingjin Yu

IEEE Robotics Autom. Lett., 2020

Autoencoder based sample selection for self-taught learning.

Siwei Feng, Han Yu, Marco F. Duarte

Knowl. Based Syst., 2020

Federated Learning with Diversified Preference for Humor Recognition.

Xu Guo, Pengwei Xing, Siwei Feng, Boyang Li, Chunyan Miao

CoRR, 2020

Multi-Participant Multi-Class Vertical Federated Learning.

Siwei Feng, Han Yu

CoRR, 2020

Optimally Guarding Perimeters and Regions with Mobile Range Sensors.

Siwei Feng, Jingjin Yu

Proceedings of the Robotics: Science and Systems XVI, 2020

2019

Few-shot learning-based human activity recognition.

Siwei Feng, Marco F. Duarte

Expert Syst. Appl., 2019

Efficient Algorithms for Optimal Perimeter Guarding.

Si Wei Feng, Shuai D. Han, Kai Gao, Jingjin Yu

CoRR, 2019

Efficient Algorithms for Optimal Perimeter Guarding.

Si Wei Feng, Shuai D. Han, Jingjin Yu

Proceedings of the Robotics: Science and Systems XV, 2019

2018

Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation.

Siwei Feng, Marco F. Duarte

Neurocomputing, 2018

Autoencoder Based Sample Selection for Self-Taught Learning.

Siwei Feng, Marco F. Duarte

CoRR, 2018

Graph Regularized Autoencoder-Based Unsupervised Feature Selection.

Siwei Feng, Marco F. Duarte

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation.

Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente

IEEE Trans. Geosci. Remote. Sens., 2017

Hyperspectral Band Selection From Statistical Wavelet Models.

Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte

IEEE Trans. Geosci. Remote. Sens., 2017

Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation.

Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente

CoRR, 2017

2016

Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination.

Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte

CoRR, 2016

Band selection from statistical wavelet models.

Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

2015

Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures.

Siwei Feng, Marco F. Duarte, Mario Parente

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014

Hyperspectral unmixing via semantic spectral representations.

Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente

Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014

Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification.

Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014