Siwei Feng - RankMe

40 papers A* 1A 1B 2Misc 2Journal 26Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification. CoRR Liying Xu, Hongliang He, Wei Han, Hanbin Huang, Siwei Feng, Guohong Fu
2025	—	`conf`	APSeg: Auto-prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification. PRCV (14) Liying Xu, Hongliang He, Wei Han, Hanbin Huang, Siwei Feng, Guohong Fu
2025	—	`conf`	CA-SAM2: SAM2-Based Context-Aware Network with Auto-prompting for Nuclei Instance Segmentation. MICCAI (9) Hanbin Huang, Hongliang He, Liying Xu, Xudong Zhu, Siwei Feng, Guohong Fu
2025	A*	`conf`	ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking. AAAI Rong Li, Tao Deng, Siwei Feng, Mingjie Sun, Juncheng Jia
2025	J	`jnl`	ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking. CoRR Rong Li, Tao Deng, Siwei Feng, Mingjie Sun, Juncheng Jia
2025	J	`jnl`	Federated Class-Incremental Learning via Weighted Aggregation and Distillation. IEEE Internet Things J. Feng Wu, Alysa Ziying Tan, Siwei Feng, Han Yu, Tao Deng, Libang Zhao, Yuanlu Chen
2025	J	`jnl`	Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology. CoRR Lirui Qi, Hongliang He, Tong Wang, Siwei Feng, Guohong Fu
2025	J	`jnl`	Mobility-Aware Decentralized Federated Learning with Joint Optimization of Local Iteration and Leader Selection for Vehicular Networks. CoRR Dongyu Chen, Tao Deng, Juncheng Jia, Siwei Feng, Di Yuan
2025	J	`jnl`	Mobility-aware decentralized federated learning with joint optimization of local iteration and leader selection for vehicular networks. Comput. Networks Dongyu Chen, Tao Deng, Juncheng Jia, Siwei Feng, Di Yuan
2025	Misc	`conf`	Personalized Federated Class-Incremental Learning through Critical Parameter Transfer. ICASSP Feng Wu, Siwei Feng, Yuanlu Chen, Libang Zhao
2025	B	`conf`	Representative-exploring Replay for Online Class-Incremental Continual Learning. IJCNN Libang Zhao, Alysa Ziying Tan, Siwei Feng, Han Yu, Tao Deng, Yuanlu Chen, Feng Wu, Mengyuan Song
2025	—	`conf`	StarHAR: A Lightweight and Low-Latency Framework for Sensor-Based Human Activity Recognition. ICIC (7) Mengyuan Song, Siwei Feng
2025	J	`jnl`	WECAR: An End-Edge Collaborative Inference and Training Framework for WiFi-Based Continuous Human Activity Recognition. CoRR Rong Li, Tao Deng, Siwei Feng, He Huang, Juncheng Jia, Di Yuan, Keqin Li
2024	A	`conf`	FL-Clip: Bridging Plasticity and Stability in Pre-Trained Federated Class-Incremental Learning Models. ICME Alysa Ziying Tan, Siwei Feng, Han Yu
2024	J	`jnl`	General Federated Class-Incremental Learning With Lightweight Generative Replay. IEEE Internet Things J. Yuanlu Chen, Alysa Ziying Tan, Siwei Feng, Han Yu, Tao Deng, Libang Zhao, Feng Wu
2024	J	`jnl`	MMVFL: A Simple Vertical Federated Learning Framework for Multi-Class Multi-Participant Scenarios. Sensors Siwei Feng, Han Yu, Yuebing Zhu
2023	J	`jnl`	Wavelet-Based Semantic Feature Representation for Hyperspectral Signature Discrimination. IEEE Access Siwei Feng
2022	J	`jnl`	Federated Learning for Personalized Humor Recognition. ACM Trans. Intell. Syst. Technol. Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao
2022	J	`jnl`	Polynomial Time Near-Time-Optimal Multi-Robot Path Planning in Three Dimensions with Applications to Large-Scale UAV Coordination. CoRR Teng Guo, Siwei Feng, Jingjin Yu
2022	J	`jnl`	Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang
2022	J	`jnl`	Vertical federated learning-based feature selection with non-overlapping sample utilization. Expert Syst. Appl. Siwei Feng
2021	—	`conf`	On Minimizing the Number of Running Buffers for Tabletop Rearrangement. Robotics: Science and Systems Kai Gao, Siwei Feng, Jingjin Yu
2020	J	`jnl`	Autoencoder based sample selection for self-taught learning. Knowl. Based Syst. Siwei Feng, Han Yu, Marco F. Duarte
2020	J	`jnl`	Federated Learning with Diversified Preference for Humor Recognition. CoRR Xu Guo, Pengwei Xing, Siwei Feng, Boyang Li, Chunyan Miao
2020	J	`jnl`	Multi-Participant Multi-Class Vertical Federated Learning. CoRR Siwei Feng, Han Yu
2020	—	`conf`	Optimally Guarding Perimeters and Regions with Mobile Range Sensors. Robotics: Science and Systems Siwei Feng, Jingjin Yu
2019	J	`jnl`	Few-Shot Learning-Based Human Activity Recognition. CoRR Siwei Feng, Marco F. Duarte
2019	J	`jnl`	Few-shot learning-based human activity recognition. Expert Syst. Appl. Siwei Feng, Marco F. Duarte
2018	J	`jnl`	Autoencoder Based Sample Selection for Self-Taught Learning. CoRR Siwei Feng, Marco F. Duarte
2018	J	`jnl`	Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation. CoRR Siwei Feng, Marco F. Duarte
2018	Misc	`conf`	Graph Regularized Autoencoder-Based Unsupervised Feature Selection. ACSSC Siwei Feng, Marco F. Duarte
2018	J	`jnl`	Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation. Neurocomputing Siwei Feng, Marco F. Duarte
2017	J	`jnl`	Hyperspectral Band Selection From Statistical Wavelet Models. IEEE Trans. Geosci. Remote. Sens. Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte
2017	J	`jnl`	Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation. CoRR Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente
2017	J	`jnl`	Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation. IEEE Trans. Geosci. Remote. Sens. Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente
2016	—	`conf`	Band selection from statistical wavelet models. WHISPERS Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte
2016	J	`jnl`	Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination. CoRR Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte
2015	—	`conf`	Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures. CVPR Workshops Siwei Feng, Marco F. Duarte, Mario Parente
2014	—	`conf`	Hyperspectral unmixing via semantic spectral representations. MWSCAS Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente
2014	B	`conf`	Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification. ICIP Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte