activity
20122025
most citedGlobal Attention-based Encoder-Decoder LSTM Model for Temperature Prediction of Permanent Magnet Synchronous Motors

8 citations · 24 across the 24 of their papers we have counts for

collaborators
Showing 2024Show all

8 papers · 1 filter

cs.CV2024

Efficient Self-Supervised Video Hashing with Selective State Spaces

Jinpeng Wang, Niu Lian, Jun Li +5

Self-supervised video hashing (SSVH) is a practical task in video indexing and retrieval. Although Transformers are predominant in SSVH for their impressive temporal modeling capab…

eess.SP2024

Transmissive RIS Enabled Transceiver Systems:Architecture, Design Issues and Opportunities

Zhendong Li, Wen Chen, Qingqing Wu +4

Reconfigurable intelligent surface (RIS) is anticipated to augment the performance of beyond fifth-generation (B5G) and sixth-generation (6G) networks by intelligently manipulating…

eess.SP2024

Decision Transformer for IRS-Assisted Systems with Diffusion-Driven Generative Channels

Jie Zhang, Jun Li, Zhe Wang +3

In this paper, we propose a novel diffusion-decision transformer (D2T) architecture to optimize the beamforming strategies for intelligent reflecting surface (IRS)-assisted multipl…

cs.DC2024

Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning

Liwei Wang, Jun Li, Wen Chen +2

Federated Learning (FL) facilitates collaborative machine learning by training models on local datasets, and subsequently aggregating these local models at a central server. Howeve…

cs.DC2024

Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization

Xuefeng Han, Wen Chen, Jun Li +5

Federated learning (FL) has been recognized as a viable distributed learning paradigm for training a machine learning model across distributed clients without uploading raw data. H…

cs.GT2024

Distributed Generalized Nash Equilibria Seeking Algorithms Involving Synchronous and Asynchronous Schemes

Huaqing Li, Liang Ran, Lifeng Zheng +4

This paper considers a class of noncooperative games in which the feasible decision sets of all players are coupled together by a coupled inequality constraint. Adopting the variat…