13 papers indexed
Min-Suek Kim, Jhoon Kim, H. Lim, Seoyoung Lee, Hyejin Cha, Yujing Chai, et al.
Jun Wang, Lijun Lu, Peng Li, Xu Fang, Tiantian Zhang, Zhipeng Li, et al.
The rapid development of multi-entity distributed energy systems has underscored the importance of source–grid–load–storage coordinated scheduling in improving renewable energy utilization and reducing operating costs. However, traditional centralized scheduling faces privacy ris…
Wenbo Wei, Jun Wang, Shan Raza, Abhir Bhalerao
Panoptic segmentation in complex scenes remains challenging because of occlusions, yet modern approaches often neglect occlusion modelling. In this paper, we propose Position Embedding Modulation with Occlusion Level Attention (PEMOLA), a novel occlusion-aware module that can be…
Super-resolution can make inspection images appear sharper without preserving the evidence needed to detect a defect. We study this failure mode with a benchmark that separates reconstruction from detection and evaluates both at a predeclared low false-positive rate. Ten end-to-e…
Jinhua Wang, Jun Wang, Tianwei Hou, Xin Sun, Arumugam Nallanathan
Pinching-antenna systems (PASS) offer considerable potential for wireless communications due to their unique ability to dynamically reconfigure radiation positions along a waveguide. However, the performance of PASS remains a critical challenge in the presence of random line-of-s…
Jinhua Wang, Jun Wang, Tianwei Hou, Anna Li, Yuanwei Liu, Arumugam Nallanathan
The performance of pinching-antenna systems (PASS) is fundamentally affected by line-of-sight (LoS) blockage in practical environments. In this paper, PASS is investigated under realistic, obstacle-induced blockage by jointly considering the LoS and non-LoS (NLoS) components, rat…
Zongyi Li, Jun Wang, Tianwei Hou, Anna Li
Pinching-antenna systems (PASS) are capable of dynamically reconfiguring wireless channels by flexibly repositioning pinching antennas (PAs) along the waveguides to establish short-range line-of-sight links. In this paper, a user-side navigation framework for PASS is proposed, wh…
Jun Wang, Quoc Phong Nguyen, Julien Monteil, Vu Nguyen
With Large Language Model (LLM) pre-training and fine-tuning shifting its focus from data volume to data quality, quality data selection has emerged as a critical research topic. Existing online data selection methods for LLM training are typically "batch-constrained", limiting o…
Forecasting longitudinal brain lesion evolution is critical for disease monitoring and treatment planning. Existing approaches typically learn a direct mapping from a baseline image to a future observation, without explicitly modeling the physical mechanisms underlying the lesion…
Yijin Ma, Yi Wang, Jun Wang, Minghui Tao, Jhoon Kim, Chenyang Wu, et al.
High-accuracy spatiotemporal monitoring of surface nitrogen dioxide (NO2) concentrations is essential for air quality management. This study evaluates machine learning-based estimates of near-surface NO2 concentrations using data from the geostationary GEMS instrument and the pol…
Hairong Bao, Zhixiong Yao, Dongfeng Xu, Jun Wang, Chenghao Yang, Nuan Liu, et al.
Deep-sea mining has garnered significant global attention, and accurate prediction of ocean currents plays a critical role in optimizing the design of sediment plume monitoring networks associated with mining activities. Using near-seabed mooring data from the Western Pacific M2…
Junkai Zhang, Jun Wang, Haoyu Zang, Ning Ma, Martin Skitmore, Ziyi Qu, et al.
Machine learning (ML) and deep learning (DL) have become very popular in the research community for addressing complex issues in intelligent transportation. This has resulted in many scientific papers being published across various transportation topics over the past decade. This…
Lingyu Tang, Jun Wang, Mengyao Wang, Chunyu Zhao
The echo state network (ESN) is a recurrent neural network that has yielded state-of-the-art results in many areas owing to its rapid learning ability and the fact that the weights of input neurons and hidden neurons are fixed throughout the learning process. However, the setting…