Search Results for author: Kaigui Bian

Found 22 papers, 1 papers with code

MetaRadar: Multi-target Detection for Reconfigurable Intelligent Surface Aided Radar Systems

no code implementations25 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.

MetaSketch: Wireless Semantic Segmentation by Metamaterial Surfaces

no code implementations14 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.

Compressive Sensing Object Recognition +1

Meta-material Sensors based Internet of Things for 6G Communications

no code implementations3 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.

TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting

no code implementations30 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.


MetaSensing: Intelligent Metasurface Assisted RF 3D Sensing by Deep Reinforcement Learning

no code implementations25 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.

reinforcement-learning Reinforcement Learning (RL)

MetaLocalization: Reconfigurable Intelligent Surface Aided Multi-user Wireless Indoor Localization

no code implementations18 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.

Indoor Localization

DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search

no code implementations4 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.

Neural Architecture Search

MetaRadar: Indoor Localization by Reconfigurable Metamaterials

no code implementations6 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.

Indoor Localization

Differentiable Feature Aggregation Search for Knowledge Distillation

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.

Knowledge Distillation Model Compression +1

Towards Ubiquitous Positioning by Leveraging Reconfigurable Intelligent Surface

no code implementations10 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.

Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data

no code implementations12 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.

Fairness Federated Learning +1

AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System

no code implementations10 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.

Feature Engineering Neural Architecture Search +1

Federated Neural Architecture Search

no code implementations15 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.

Neural Architecture Search

A New Perspective for Flexible Feature Gathering in Scene Text Recognition Via Character Anchor Pooling

no code implementations10 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.

Scene Text Recognition

Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach

no code implementations6 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.

Transfer Learning

Rethinking Irregular Scene Text Recognition

1 code implementation30 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..

Scene Text Detection

Symmetry-constrained Rectification Network for Scene Text Recognition

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.

Scene Text Recognition

Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images

no code implementations27 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.

ERP Object +3

ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System

no code implementations27 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.

Look into My Eyes: Fine-grained Detection of Face-screen Distance on Smartphones

no code implementations13 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

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