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CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals


Nov 07, 2021
Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham


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DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers


Sep 21, 2021
Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang

* Extension of the CVPR 2021 oral paper (https://openaccess.thecvf.com/content/CVPR2021/html/Li_Dynamic_Slimmable_Network_CVPR_2021_paper.html

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AutoPlace: Robust Place Recognition with Low-cost Single-chip Automotive Radar


Sep 17, 2021
Kaiwen Cai, Bing Wang, Chris Xiaoxuan Lu

* Submitted to the IEEE Conference on Robotics and Automation (ICRA), 8 pages 

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Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks


Apr 18, 2021
Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu, Pedro P. B. de Gusmao, Bing Wang, Andrew Markham, Niki Trigoni


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BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search


Mar 24, 2021
Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang

* Our searched hybrid CNN-transformer models achieve up to 82.2% accuracy on ImageNet, surpassing EfficientNet by 2.1% with comparable compute time 

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Dynamic Slimmable Network


Mar 24, 2021
Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang

* Accepted to CVPR 2021 as an Oral Presentation 

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P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching


Mar 01, 2021
Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham


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Relational Deep Reinforcement Learning for Routing in Wireless Networks


Dec 31, 2020
Victoria Manfredi, Alicia Wolfe, Bing Wang, Xiaolan Zhang

* 11 pages, 26 figures 

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3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar


Nov 13, 2020
Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

* Submitted to The 2021 International Conference on Robotics and Automation (ICRA 2021) 

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PSF-LO: Parameterized Semantic Features Based Lidar Odometry


Oct 31, 2020
Guibin Chen, BoSheng Wang, XiaoLiang Wang, Huanjun Deng, Bing Wang, Shuo Zhang

* 7 pages 

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A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence


Jun 29, 2020
Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham

* 26 pages, 10 figures. Project website: https://github.com/changhao-chen/deep-learning-localization-mapping 

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MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization


Mar 12, 2020
Rui Zhou, Changhao Chen, Bing Wang, Andrew Markham, Niki Trigoni


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PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization


Mar 05, 2020
Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni


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ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment


Nov 26, 2019
Bo Yang, Xianlong Tan, Zhengmao Chen, Bing Wang, Dan Li, Zhongping Yang, Xiping Wu, Yi Lin


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Chinese Spelling Error Detection Using a Fusion Lattice LSTM


Nov 25, 2019
Hao Wang, Bing Wang, Jianyong Duan, Jiajun Zhang

* 8 pages,5 figures 

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AtLoc: Attention Guided Camera Localization


Sep 08, 2019
Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham


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DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction


Aug 11, 2019
Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham


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Optimal Solution Predictions for Mixed Integer Programs


Jun 23, 2019
Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song


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Learning Hierarchical Features for Visual Object Tracking with Recursive Neural Networks


Jan 06, 2018
Li Wang, Ting Liu, Bing Wang, Xulei Yang, Gang Wang


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Joint Calibration of Panoramic Camera and Lidar Based on Supervised Learning


Sep 13, 2017
Mingwei Cao, Ming Yang, Chunxiang Wang, Yeqiang Qian, Bing Wang

* in Chinese 

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Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association


Sep 25, 2016
Bing Wang, Li Wang, Bing Shuai, Zhen Zuo, Ting Liu, Kap Luk Chan, Gang Wang


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Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation


Apr 22, 2016
Bing Wang, Gang Wang, Kap Luk Chan, Li Wang

* IEEE Transactions on Pattern Analysis and Machine Intelligence, in press, 2016 

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Scene Parsing with Integration of Parametric and Non-parametric Models


Apr 20, 2016
Bing Shuai, Zhen Zuo, Gang Wang, Bing Wang

* 13 Pages, 6 figures, IEEE Transactions on Image Processing (T-IP) 2016 

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Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks


Feb 07, 2016
Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang


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DAG-Recurrent Neural Networks For Scene Labeling


Nov 23, 2015
Bing Shuai, Zhen Zuo, Gang Wang, Bing Wang


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Radial basis function process neural network training based on generalized frechet distance and GA-SA hybrid strategy


Jan 09, 2014
Bing Wang, Yao-hua Meng, Xiao-hong Yu

* Computer Science & Engineering: An International Journal (CSEIJ), Vol. 3, No. 6, December 2013:1-9 
* 9 pages, 4 figures,14 references 

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