no code implementations • 21 Feb 2016 • Chencheng Li, Pan Zhou, Yingxue Zhou, Kaigui Bian, Tao Jiang, Susanto Rahardja
An increasing number of people participate in social networks and massive online social data are obtained.
no code implementations • 13 Dec 2016 • Zhuqi Li, Wei-Jie Chen, Zhenyi Li, Kaigui Bian
The detection of face-screen distance on smartphone (i. e., the distance between the user face and the smartphone screen) is of paramount importance for many mobile applications, including dynamic adjustment of screen on-off, screen resolution, screen luminance, font size, with the purposes of power saving, protection of human eyesight, etc.
Networking and Internet Architecture
no code implementations • 27 May 2019 • Yuzhe Yang, Zhiwen Hu, Kaigui Bian, Lingyang Song
Given the increasingly serious air pollution problem, the monitoring of air quality index (AQI) in urban areas has drawn considerable attention.
no code implementations • 27 Jul 2019 • Pengyu Zhao, Ansheng You, Yuanxing Zhang, Jiaying Liu, Kaigui Bian, Yunhai Tong
Specifically, we adapt the terminologies of the traditional object detection task to the omnidirectional scenarios, and propose a novel two-stage object detector, i. e., Reprojection R-CNN by combining both ERP and perspective projection.
no code implementations • ICCV 2019 • MingKun Yang, Yushuo Guan, Minghui Liao, Xin He, Kaigui Bian, Song Bai, Cong Yao, Xiang Bai
Reading text in the wild is a very challenging task due to the diversity of text instances and the complexity of natural scenes.
1 code implementation • 30 Aug 2019 • Shangbang Long, Yushuo Guan, Bingxuan Wang, Kaigui Bian, Cong Yao
Reading text from natural images is challenging due to the great variety in text font, color, size, complex background and etc..
no code implementations • 6 Feb 2020 • Zeyue Xue, Shuang Luo, Chao Wu, Pan Zhou, Kaigui Bian, Wei Du
Peer-to-peer knowledge transfer in distributed environments has emerged as a promising method since it could accelerate learning and improve team-wide performance without relying on pre-trained teachers in deep reinforcement learning.
no code implementations • 10 Feb 2020 • Shangbang Long, Yushuo Guan, Kaigui Bian, Cong Yao
Irregular scene text recognition has attracted much attention from the research community, mainly due to the complexity of shapes of text in natural scene.
no code implementations • 15 Feb 2020 • Jinliang Yuan, Mengwei Xu, Yuxin Zhao, Kaigui Bian, Gang Huang, Xuanzhe Liu, Shangguang Wang
To preserve user privacy while enabling mobile intelligence, techniques have been proposed to train deep neural networks on decentralized data.
no code implementations • 10 Jun 2020 • Pengyu Zhao, Kecheng Xiao, Yuanxing Zhang, Kaigui Bian, Wei Yan
Specifically, AMEIR divides the complete recommendation models into three stages of behavior modeling, interaction exploration, MLP aggregation, and introduces a novel search space containing three tailored subspaces that cover most of the existing methods and thus allow for searching better models.
no code implementations • 12 Jun 2020 • Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu
Based on the data and the platform, we conduct extensive experiments to compare the performance of state-of-the-art FL algorithms under heterogeneity-aware and heterogeneity-unaware settings.
no code implementations • 10 Jul 2020 • Haobo Zhang, Hongliang Zhang, Boya Di, Kaigui Bian, Zhu Han, Lingyang Song
The received signal strength (RSS) based technique is widely utilized for ubiquitous positioning due to its advantage of simple implementability.
no code implementations • ECCV 2020 • Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang
To tackle with both the efficiency and the effectiveness of knowledge distillation, we introduce the feature aggregation to imitate the multi-teacher distillation in the single-teacher distillation framework by extracting informative supervision from multiple teacher feature maps.
no code implementations • 6 Aug 2020 • Haobo Zhang, Jingzhi Hu, Hongliang Zhang, Boya Di, Kaigui Bian, Zhu Han, Lingyang Song
However, in MetaRadar, it is challenging to build radio maps for all the radio environments generated by metamaterial units and select suitable maps from all the possible maps to realize a high accuracy localization.
no code implementations • 4 Nov 2020 • Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang
The convolutional neural network has achieved great success in fulfilling computer vision tasks despite large computation overhead against efficient deployment.
no code implementations • 18 Nov 2020 • Haobo Zhang, Hongliang Zhang, Boya Di, Kaigui Bian, Zhu Han, Lingyang Song
As the RIS is able to customize the radio channels by adjusting the phase shifts of the signals reflected at the surface, the localization accuracy in the RIS aided scheme can be improved by choosing the proper phase shifts with significant differences of RSS values among adjacent locations.
no code implementations • 25 Nov 2020 • Jingzhi Hu, Hongliang Zhang, Kaigui Bian, Marco Di Renzo, Zhu Han, Lingyang Song
To tackle this challenge, we formulate an optimization problem for minimizing the cross-entropy loss of the sensing outcome, and propose a deep reinforcement learning algorithm to jointly compute the optimal beamformer patterns and the mapping of the received signals.
no code implementations • 30 Nov 2020 • Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie
Further analysis indicates that the locality and globality of the traffic networks are critical to traffic flow prediction and the proposed TSSRGCN model can adapt to the various temporal traffic patterns.
no code implementations • 3 Jul 2021 • Jingzhi Hu, Hongliang Zhang, Boya Di, Kaigui Bian, Lingyang Song
In the coming 6G communications, the internet of things (IoT) serves as a key enabler to collect environmental information and is expected to achieve ubiquitous deployment.
no code implementations • 4 Jul 2021 • Ziang Yang, Haobo Zhang, Boya Di, Hongliang Zhang, Kaigui Bian, Lingyang Song
In this paper, we propose a novel SLAM system assisted by a reconfigurable intelligent surface (RIS) to address this issue.
no code implementations • 14 Aug 2021 • Jingzhi Hu, Hongliang Zhang, Kaigui Bian, Zhu Han, H. Vincent Poor, Lingyang Song
Semantic segmentation is a process of partitioning an image into multiple segments for recognizing humans and objects, which can be widely applied in scenarios such as healthcare and safety monitoring.
no code implementations • 25 Feb 2022 • Haobo Zhang, Hongliang Zhang, Boya Di, Kaigui Bian, Zhu Han, Lingyang Song
To address this issue, we propose to use the reconfigurable intelligent surface (RIS) to improve the detection accuracy of radar systems due to its capability to customize channel conditions by adjusting its phase shifts, which is referred to as MetaRadar.