Siwei Feng

According to our database, Siwei Feng authored at least 52 papers between 2014 and 2026.

Collaborative distances:

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

2026

OmniSelect: Dynamic Modality-Aware Token Compression for Efficient Omni-modal Large Language Models.

Morunliu Yang, Ruotao Xu, Le Li, Yue Wang, Jianxin Zhang, Juntao Li, Yihang Lou, Siwei Feng, Peifeng Li

CoRR, May, 2026

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap.

Hanxuan Chen, Jie Zheng, Siqi Yang, Tianle Zeng, Siwei Feng, Songsheng Cheng, Ruilong Ren, Hanzhong Guo, Shuai Yuan, Xiangyue Wang, Kangli Wang, Ji Pei

CoRR, April, 2026

Prototype-guided pseudo-labeling for semi-supervised federated human activity recognition.

Mengyuan Song, Siwei Feng, Tao Deng

Pattern Recognit., 2026

ALD2: Adaptive layer-wise denoising decoding for hallucinations mitigation in large vision-language models.

Yuechi Zhou, Morunliu Yang, Jiaxu Zhang, Juntao Li, Siwei Feng

Inf. Process. Manag., 2026

2025

Federated Class-Incremental Learning via Weighted Aggregation and Distillation.

Feng Wu, Alysa Ziying Tan, Siwei Feng, Han Yu, Tao Deng, Libang Zhao, Yuanlu Chen

IEEE Internet Things J., June, 2025

Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology.

Lirui Qi, Hongliang He, Tong Wang, Siwei Feng, Guohong Fu

CoRR, April, 2025

WECAR: An End-Edge Collaborative Inference and Training Framework for WiFi-Based Continuous Human Activity Recognition.

Rong Li, Tao Deng, Siwei Feng, He Huang, Juncheng Jia, Di Yuan, Keqin Li

CoRR, March, 2025

Mobility-aware decentralized federated learning with joint optimization of local iteration and leader selection for vehicular networks.

Dongyu Chen, Tao Deng, Juncheng Jia, Siwei Feng, Di Yuan

Comput. Networks, 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

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

CA-SAM2: SAM2-Based Context-Aware Network with Auto-prompting for Nuclei Instance Segmentation.

Hanbin Huang, Hongliang He, Liying Xu, Xudong Zhu, Siwei Feng, Guohong Fu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Representative-exploring Replay for Online Class-Incremental Continual Learning.

Libang Zhao, Alysa Ziying Tan, Siwei Feng, Han Yu, Tao Deng, Yuanlu Chen, Feng Wu, Mengyuan Song

Proceedings of the International Joint Conference on Neural Networks, 2025

StarHAR: A Lightweight and Low-Latency Framework for Sensor-Based Human Activity Recognition.

Mengyuan Song, Siwei Feng

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Personalized Federated Class-Incremental Learning through Critical Parameter Transfer.

Feng Wu, Siwei Feng, Yuanlu Chen, Libang Zhao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking.

Rong Li, Tao Deng, Siwei Feng, Mingjie Sun, Juncheng Jia

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

General Federated Class-Incremental Learning With Lightweight Generative Replay.

Yuanlu Chen, Alysa Ziying Tan, Siwei Feng, Han Yu, Tao Deng, Libang Zhao, Feng Wu

IEEE Internet Things J., October, 2024

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

Siwei Feng, Han Yu, Yuebing Zhu

Sensors, January, 2024

FL-Clip: Bridging Plasticity and Stability in Pre-Trained Federated Class-Incremental Learning Models.

Alysa Ziying Tan, Siwei Feng, Han Yu

Proceedings of the IEEE International Conference on Multimedia and Expo, 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