Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification. - Siwei Feng; Yuki Itoh; Mario Parente; Marco F. Duarte (ICIP, 2014)

Hyperspectral unmixing via semantic spectral representations. - Yuki Itoh; Siwei Feng; Marco F. Duarte; Mario Parente (MWSCAS, 2014)

Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures. - Siwei Feng; Marco F. Duarte; Mario Parente (CVPR Workshops, 2015)

Band selection from statistical wavelet models. - Siwei Feng; Yuki Itoh; Mario Parente; Marco F. Duarte (WHISPERS, 2016)

Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination. - Siwei Feng; Yuki Itoh; Mario Parente; Marco F. Duarte (CoRR, 2016)

Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation. - Yuki Itoh; Siwei Feng; Marco F. Duarte; Mario Parente (CoRR, 2017)

Hyperspectral Band Selection From Statistical Wavelet Models. - Siwei Feng; Yuki Itoh; Mario Parente; Marco F. Duarte (IEEE Trans. Geosci. Remote. Sens., 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)

Graph Regularized Autoencoder-Based Unsupervised Feature Selection. - Siwei Feng; Marco F. Duarte (ACSSC, 2018)

Autoencoder Based Sample Selection for Self-Taught Learning. - Siwei Feng; Marco F. Duarte (CoRR, 2018)

Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation. - Siwei Feng; Marco F. Duarte (Neurocomputing, 2018)

Efficient Algorithms for Optimal Perimeter Guarding. - Si Wei Feng; Shuai D. Han; Jingjin Yu (Robotics: Science and Systems, 2019)

Efficient Algorithms for Optimal Perimeter Guarding. - Si Wei Feng; Shuai D. Han; Kai Gao; Jingjin Yu (CoRR, 2019)

Few-shot learning-based human activity recognition. - Siwei Feng; Marco F. Duarte (Expert Syst. Appl., 2019)

Optimally Guarding Perimeters and Regions with Mobile Range Sensors. - Siwei Feng; Jingjin Yu (Robotics: Science and Systems, 2020)

Multi-Participant Multi-Class Vertical Federated Learning. - Siwei Feng; Han Yu 001 (CoRR, 2020)

Federated Learning with Diversified Preference for Humor Recognition. - Xu Guo 002; Pengwei Xing; Siwei Feng; Boyang Li 001; Chunyan Miao (CoRR, 2020)

Autoencoder based sample selection for self-taught learning. - Siwei Feng; Han Yu 001; Marco F. Duarte (Knowl. Based Syst., 2020)

Optimal Perimeter Guarding With Heterogeneous Robot Teams: Complexity Analysis and Effective Algorithms. - Si Wei Feng; Jingjin Yu (IEEE Robotics Autom. Lett., 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)

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 (CASE, 2021)

Sensor Placement for Globally Optimal Coverage of 3D-Embedded Surfaces. - Si Wei Feng; Kai Gao; Jie Gong; Jingjin Yu (ICRA, 2021)

On Minimizing the Number of Running Buffers for Tabletop Rearrangement. - Kai Gao; Siwei Feng; Jingjin Yu (Robotics: Science and Systems, 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)

Rubik Tables, Stack Rearrangement, and Multi-Robot Path Planning. - Teng Guo; Si Wei Feng; Mario Szegedy; Jingjin Yu (Allerton, 2022)

Barrier Forming: Separating Polygonal Sets with Minimum Number of Lines. - Si Wei Feng; Jingjin Yu (ICRA, 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 (IROS, 2022)

Vertical federated learning-based feature selection with non-overlapping sample utilization. - Siwei Feng (Expert Syst. Appl., 2022)

Semi-Supervised Federated Heterogeneous Transfer Learning. - Siwei Feng; Boyang Li 001; Han Yu 001; Yang Liu 165; Qiang Yang 001 (Knowl. Based Syst., 2022)

Federated Learning for Personalized Humor Recognition. - Xu Guo 002; Han Yu 001; Boyang Li 001; Hao Wang 005; Pengwei Xing; Siwei Feng; Zaiqing Nie; Chunyan Miao (ACM Trans. Intell. Syst. Technol., 2022)

Optimal Allocation of Many Robot Guards for Sweep-Line Coverage. - Si Wei Feng; Teng Guo; Jingjin Yu (ICRA, 2023)

Optimal and Stable Multi-Layer Object Rearrangement on a Tabletop. - Andy Xu; Kai Gao; Si Wei Feng; Jingjin Yu (IROS, 2023)

Wavelet-Based Semantic Feature Representation for Hyperspectral Signature Discrimination. - Siwei Feng (IEEE Access, 2023)

Efficient Algorithms for Boundary Defense with Heterogeneous Defenders. - Si Wei Feng; Jingjin Yu (CoRR, 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., 2023)

FL-Clip: Bridging Plasticity and Stability in Pre-Trained Federated Class-Incremental Learning Models. - Alysa Ziying Tan; Siwei Feng; Han Yu 001 (ICME, 2024)

MMVFL: A Simple Vertical Federated Learning Framework for Multi-Class Multi-Participant Scenarios. - Siwei Feng; Han Yu 001; Yuebing Zhu (Sensors, 2024)

General Federated Class-Incremental Learning With Lightweight Generative Replay. - Yuanlu Chen; Alysa Ziying Tan; Siwei Feng; Han Yu 001; Tao Deng 003; Libang Zhao; Feng Wu (IEEE Internet Things J., 2024)

ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking. - Rong Li; Tao Deng 003; Siwei Feng; Mingjie Sun; Juncheng Jia (AAAI, 2025)

Personalized Federated Class-Incremental Learning through Critical Parameter Transfer. - Feng Wu; Siwei Feng; Yuanlu Chen; Libang Zhao (ICASSP, 2025)

StarHAR: A Lightweight and Low-Latency Framework for Sensor-Based Human Activity Recognition. - Mengyuan Song; Siwei Feng (ICIC (7), 2025)

Mobility-aware decentralized federated learning with joint optimization of local iteration and leader selection for vehicular networks. - Dongyu Chen; Tao Deng 003; Juncheng Jia; Siwei Feng; Di Yuan 001 (Comput. Networks, 2025)

WECAR: An End-Edge Collaborative Inference and Training Framework for WiFi-Based Continuous Human Activity Recognition. - Rong Li; Tao Deng 003; Siwei Feng; He Huang; Juncheng Jia; Di Yuan 001; Keqin Li 001 (CoRR, 2025)

Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology. - Lirui Qi; Hongliang He; Tong Wang; Siwei Feng; Guohong Fu (CoRR, 2025)

APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification. - Liying Xu; Hongliang He; Wei Han; Hanbin Huang; Siwei Feng; Guohong Fu (CoRR, 2025)

Federated Class-Incremental Learning via Weighted Aggregation and Distillation. - Feng Wu; Alysa Ziying Tan; Siwei Feng; Han Yu 001; Tao Deng 003; Libang Zhao; Yuanlu Chen (IEEE Internet Things J., 2025)