Jiaming Pei

According to our database, Jiaming Pei authored at least 26 papers between 2021 and 2024.

Collaborative distances:

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

2024

Instructional Mask Autoencoder: A Scalable Learner for Hyperspectral Image Classification.

Weili Kong, Baisen Liu, Xiaojun Bi, Jiaming Pei, Zheng Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

RF-Sign: Position-Independent Sign Language Recognition Using Passive RFID Tags.

Haotian Zhang, Lukun Wang, Jiaming Pei, Feng Lyu, Minglu Li, Chao Liu

IEEE Internet Things J., 2024

Knowledge Transfer via Compact Model in Federated Learning (Student Abstract).

Jiaming Pei, Wei Li, Lukun Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Local Consistency Guidance: Personalized Stylization Method of Face Video (Student Abstract).

Wancheng Feng, Yingchao Liu, Jiaming Pei, Wenxuan Liu, Chunpeng Tian, Lukun Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FedME²: Memory Evaluation & Erase Promoting Federated Unlearning in DTMN.

Hui Xia, Shuo Xu, Jiaming Pei, Rui Zhang, Zhi Yu, Weitao Zou, Lukun Wang, Chao Liu

IEEE J. Sel. Areas Commun., November, 2023

3D-unified spatial-temporal graph for group activity recognition.

Lukun Wang, Wancheng Feng, Chunpeng Tian, Liquan Chen, Jiaming Pei

Neurocomputing, November, 2023

Analysis of Networks and Digital Systems by Using the Novel Technique Based on Complex Fuzzy Soft Information.

Naeem Jan, Jeonghwan Gwak, Jiaming Pei, Rabia Maqsood, Abdul Nasir

IEEE Trans. Consumer Electron., May, 2023

Scene Graph Semantic Inference for Image and Text Matching.

Jiaming Pei, Kaiyang Zhong, Zhi Yu, Lukun Wang, Kuruva Lakshmanna

ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

Fed-IoUT: Opportunities and Challenges of Federated Learning in the Internet of Underwater Things.

Jiaming Pei, Wenxuan Liu, Lukun Wang, Chao Liu, Ali Kashif Bashir, Yue Wang

IEEE Internet Things Mag., March, 2023

Federated Learning Encounters 6G Wireless Communication in the Scenario of Internet of Things.

Jiaming Pei, Shike Li, Zhi Yu, Laishan Ho, Wenxuan Liu, Lukun Wang

IEEE Commun. Stand. Mag., March, 2023

PAC: Partial Area Clustering for Re-Adjusting the Layout of Traffic Stations in City's Public Transport.

Jiaming Pei, Kaiyang Zhong, Jinhai Li, Zhi Yu

IEEE Trans. Intell. Transp. Syst., January, 2023

TKAGFL: A Federated Communication Framework Under Data Heterogeneity.

Jiaming Pei, Zhi Yu, Jinhai Li, Mian Ahmad Jan, Kuruva Lakshmanna

IEEE Trans. Netw. Sci. Eng., 2023

Eco-CSAS: A Safe and Eco-Friendly Speed Advisory System for Autonomous Vehicle Platoon Using Consortium Blockchain.

Shike Li, Jianbin Li, Jiaming Pei, Sixing Wu, Shen Wang, Long Cheng

IEEE Trans. Intell. Transp. Syst., 2023

Drone-Assisted Behavior Recognition via Key Frame Extraction for Efficient 5G Communication.

Hui Li, Tongao Ge, Ruidi Ma, Ying Guo, Guowei Zhao, Jiaming Pei, Lukun Wang, Lingwei Xu

Proceedings of the IEEE INFOCOM 2023, 2023

Clustered Federated Learning with Slightly Skewed Labels.

Jiaming Pei, Wei Li

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

When will federated learning transfer from generalization to personalization?

Wenxuan Liu, Lukun Wang, Jiaming Pei

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

A Scalable Self-supervised Learner for Hyperspectral Image Classification.

Weili Kong, Lin Qi, Baisen Liu, Jiaming Pei

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

BSAS: A Blockchain-Based Trustworthy and Privacy-Preserving Speed Advisory System.

Jianbin Li, Shike Li, Long Cheng, Qingzhi Liu, Jiaming Pei, Shen Wang

IEEE Trans. Veh. Technol., 2022

ECNN: evaluating a cluster-neural network model for city innovation capability.

Jiaming Pei, Kaiyang Zhong, Jinhai Li, Jiyuan Xu, Xinyi Wang

Neural Comput. Appl., 2022

Multi-attribute adaptive aggregation transformer for vehicle re-identification.

Zhi Yu, Jiaming Pei, Mingpeng Zhu, Jiwei Zhang, Jinhai Li

Inf. Process. Manag., 2022

PCA-RNN-based intelligent mobile drone spectrum sensing algorithm.

Lingwei Xu, Yanyan Duan, Jiaming Pei, Wenzhong Lin, Lukun Wang, Shahid Mumtaz

Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2022

Clustered federated learning multi-classifier for non-IID scenario in drone devices.

Jiaming Pei, Zhi Yu, Wenxuan Liu, Weili Kong, Jiwei Zhang, Lukun Wang

Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2022

2021

Mnist.

Jiaming Pei

Dataset, November, 2021

Multiobjective Optimization regarding Vehicles and Power Grids.

Kaiyang Zhong, Ping Wang, Jiaming Pei, Jiyuan Xu, Zonglin Han, Jiawen Xu

Wirel. Commun. Mob. Comput., 2021

Research of Contextual Semantic Reasoning Model Based on Domain Ontology.

Jinhai Li, Yunlei Ma, Xiang Zhan, Jiaming Pei

Sci. Program., 2021

Super efficiency SBM-DEA and neural network for performance evaluation.

Kaiyang Zhong, Yifan Wang, Jiaming Pei, Shimeng Tang, Zonglin Han

Inf. Process. Manag., 2021