Siwei Feng

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Semantic Representation

Feature Selection

Human Activity Recognition

Top Venues

Expert Syst. Appl.

Knowl. Based Syst.

IEEE Trans. Geosci. Remote. Sens.

Publications

Siwei Feng, Han Yu, Yuebing Zhu
MMVFL: A Simple Vertical Federated Learning Framework for Multi-Class Multi-Participant Scenarios. Sensors 24 (2) (2024)
Siwei Feng
Wavelet-Based Semantic Feature Representation for Hyperspectral Signature Discrimination. IEEE Access 11 (2023)
Siwei Feng
Vertical federated learning-based feature selection with non-overlapping sample utilization. Expert Syst. Appl. 208 (2022)
Teng Guo, Siwei Feng, Jingjin Yu
Polynomial Time Near-Time-Optimal Multi-Robot Path Planning in Three Dimensions with Applications to Large-Scale UAV Coordination. CoRR (2022)
Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao
Federated Learning for Personalized Humor Recognition. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang
Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. 252 (2022)
Kai Gao, Siwei Feng, Jingjin Yu
On Minimizing the Number of Running Buffers for Tabletop Rearrangement. Robotics: Science and Systems (2021)
Xu Guo, Pengwei Xing, Siwei Feng, Boyang Li, Chunyan Miao
Federated Learning with Diversified Preference for Humor Recognition. CoRR (2020)
Siwei Feng, Han Yu
Multi-Participant Multi-Class Vertical Federated Learning. CoRR (2020)
Siwei Feng, Han Yu, Marco F. Duarte
Autoencoder based sample selection for self-taught learning. Knowl. Based Syst. 192 (2020)
Siwei Feng, Jingjin Yu
Optimally Guarding Perimeters and Regions with Mobile Range Sensors. Robotics: Science and Systems (2020)
Siwei Feng, Marco F. Duarte
Few-shot learning-based human activity recognition. Expert Syst. Appl. 138 (2019)
Siwei Feng, Marco F. Duarte
Few-Shot Learning-Based Human Activity Recognition. CoRR (2019)
Siwei Feng, Marco F. Duarte
Autoencoder Based Sample Selection for Self-Taught Learning. CoRR (2018)
Siwei Feng, Marco F. Duarte
Graph Regularized Autoencoder-Based Unsupervised Feature Selection. ACSSC (2018)
Siwei Feng, Marco F. Duarte
Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation. Neurocomputing 312 (2018)
Siwei Feng, Marco F. Duarte
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation. CoRR (2018)
Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente
Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation. IEEE Trans. Geosci. Remote. Sens. 55 (6) (2017)
Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente
Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation. CoRR (2017)
Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte
Hyperspectral Band Selection From Statistical Wavelet Models. IEEE Trans. Geosci. Remote. Sens. 55 (4) (2017)
Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte
Band selection from statistical wavelet models. WHISPERS (2016)
Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte
Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination. CoRR (2016)
Siwei Feng, Marco F. Duarte, Mario Parente
Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures. CVPR Workshops (2015)
Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte
Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification. ICIP (2014)
Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente
Hyperspectral unmixing via semantic spectral representations. MWSCAS (2014)