Search Results for author: Bing Wang

Found 41 papers, 16 papers with code

Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation

1 code implementation ACL 2022 Xinyu Pi, Bing Wang, Yan Gao, Jiaqi Guo, Zhoujun Li, Jian-Guang Lou

The robustness of Text-to-SQL parsers against adversarial perturbations plays a crucial role in delivering highly reliable applications.


RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds

1 code implementation19 Apr 2022 Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby Breckon, Ling Shao, Niki Trigoni, Andrew Markham

We present RangeUDF, a new implicit representation based framework to recover the geometry and semantics of continuous 3D scene surfaces from point clouds.

Semantic Segmentation Surface Reconstruction

Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation

1 code implementation8 Feb 2022 Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang

Extensive experiments on two vision tasks, includ-ing ImageNet classification and Pascal VOC segmentation, demonstrate the superiority of our ICKD, which consis-tently outperforms many existing methods, advancing thestate-of-the-art in the fields of Knowledge Distillation.

Knowledge Distillation

Contrastive Instruction-Trajectory Learning for Vision-Language Navigation

1 code implementation8 Dec 2021 Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang

The vision-language navigation (VLN) task requires an agent to reach a target with the guidance of natural language instruction.

Contrastive Learning Vision-Language Navigation

Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals

no code implementations20 Nov 2021 Bing Wang, Yue Wang, Ximing Li, Jihong Ouyang

The recent generative dataless methods construct document-specific category priors by using seed word occurrences only, however, such category priors often contain very limited and even noisy supervised signals.

Text Classification

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

no code implementations7 Nov 2021 Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

To avoid the drawbacks of conventional DFT pre-processing, we propose a learnable pre-processing module, named CubeLearn, to directly extract features from raw radar signal and build an end-to-end deep neural network for mmWave FMCW radar motion recognition applications.

Activity Recognition

A novel class of fixed-time consensus protocols for multi-agent systems with simple dynamics

no code implementations30 Sep 2021 Yuquan Chen, Fumian Wang, Bing Wang

This paper investigates the fixed-time consensus problem for a class of multi-agent systems with simple dynamics.

Iterative Memory Network for Long Sequential User Behavior Modeling in Recommender Systems

no code implementations29 Sep 2021 Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang

Extensive empirical studies show that our method outperforms various state-of-the-art sequential modeling methods on both public and industrial datasets for long sequential user behavior modeling.

Recommendation Systems

An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States

no code implementations21 Sep 2021 Lin William Cong, Ke Tang, Bing Wang, Jingyuan Wang

We build a deep-learning-based SEIR-AIM model integrating the classical Susceptible-Exposed-Infectious-Removed epidemiology model with forecast modules of infection, community mobility, and unemployment.


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

1 code implementation21 Sep 2021 Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang

Dynamic networks have shown their promising capability in reducing theoretical computation complexity by adapting their architectures to the input during inference.

Fairness Model Compression

Dynamic Slimmable Network

1 code implementation CVPR 2021 Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang

Here, we explore a dynamic network slimming regime, named Dynamic Slimmable Network (DS-Net), which aims to achieve good hardware-efficiency via dynamically adjusting filter numbers of networks at test time with respect to different inputs, while keeping filters stored statically and contiguously in hardware to prevent the extra burden.

Fairness Model Compression

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

1 code implementation ICCV 2021 Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang

In this work, we present Block-wisely Self-supervised Neural Architecture Search (BossNAS), an unsupervised NAS method that addresses the problem of inaccurate architecture rating caused by large weight-sharing space and biased supervision in previous methods.

Image Classification Neural Architecture Search

Exploring Inter-Channel Correlation for Diversity-Preserved Knowledge Distillation

1 code implementation ICCV 2021 Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang

Extensive experiments on two vision tasks, including ImageNet classification and Pascal VOC segmentation, demonstrate the superiority of our ICKD, which consistently outperforms many existing methods, advancing the state-of-the-art in the fields of Knowledge Distillation.

Knowledge Distillation

Relational Deep Reinforcement Learning for Routing in Wireless Networks

no code implementations31 Dec 2020 Victoria Manfredi, Alicia Wolfe, Bing Wang, Xiaolan Zhang

While routing in wireless networks has been studied extensively, existing protocols are typically designed for a specific set of network conditions and so cannot accommodate any drastic changes in those conditions.


Photonic Floquet time crystals

no code implementations15 Dec 2020 Bing Wang, Jiaqi Quan, Jianfei Han, Xiaopeng Shen, Hongwei Wu, Yiming Pan

The public and scientists constantly have different perspectives.

Quantum Physics Mesoscale and Nanoscale Physics Other Condensed Matter Optics

PSF-LO: Parameterized Semantic Features Based Lidar Odometry

no code implementations26 Oct 2020 Guibin Chen, BoSheng Wang, Xiaoliang Wang, Huanjun Deng, Bing Wang, Shuo Zhang

Lidar odometry (LO) is a key technology in numerous reliable and accurate localization and mapping systems of autonomous driving.

Autonomous Driving Motion Estimation +1

VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization

1 code implementation12 Mar 2020 Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi U. Saputra, Niki Trigoni, Andrew Markham

We conjecture that this is because of the naive approaches to feature space fusion through summation or concatenation which do not take into account the different strengths of each modality.

Camera Relocalization Visual Localization

PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization

1 code implementation5 Mar 2020 Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni

In this paper, we present a novel end-to-end learning-based LiDAR relocalization framework, termed PointLoc, which infers 6-DoF poses directly using only a single point cloud as input, without requiring a pre-built map.


Learning Selective Sensor Fusion for States Estimation

no code implementations30 Dec 2019 Changhao Chen, Stefano Rosa, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

By integrating the observations from different sensors, these mobile agents are able to perceive the environment and estimate system states, e. g. locations and orientations.

Autonomous Vehicles

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

no code implementations26 Nov 2019 Bo Yang, Xianlong Tan, Zhengmao Chen, Bing Wang, Dan Li, Zhongping Yang, Xiping Wu, Yi Lin

To our best knowledge, this is the first work that aims at building a real and multilingual ASR corpus for the air traffic related research.

Automatic Speech Recognition

Chinese Spelling Error Detection Using a Fusion Lattice LSTM

no code implementations25 Nov 2019 Hao Wang, Bing Wang, Jianyong Duan, Jiajun Zhang

Spelling error detection serves as a crucial preprocessing in many natural language processing applications.

See Through Smoke: Robust Indoor Mapping with Low-cost mmWave Radar

1 code implementation1 Nov 2019 Chris Xiaoxuan Lu, Stefano Rosa, Peijun Zhao, Bing Wang, Changhao Chen, John A. Stankovic, Niki Trigoni, Andrew Markham

This paper presents the design, implementation and evaluation of milliMap, a single-chip millimetre wave (mmWave) radar based indoor mapping system targetted towards low-visibility environments to assist in emergency response.

AtLoc: Attention Guided Camera Localization

1 code implementation8 Sep 2019 Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham

Deep learning has achieved impressive results in camera localization, but current single-image techniques typically suffer from a lack of robustness, leading to large outliers.

Camera Localization

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction

no code implementations11 Aug 2019 Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

In addition we show how DynaNet can indicate failures through investigation of properties such as the rate of innovation (Kalman Gain).

Motion Estimation Visual Odometry

X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of Intersecting Line Segments

no code implementations29 Jul 2019 Hao-Ran Wei, Yue Zhang, Bing Wang, Yang Yang, Hao Li, Hongqi Wang

Motivated by the development of deep convolution neural networks (DCNNs), tremendous progress has been gained in the field of aircraft detection.

Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction

no code implementations23 Jun 2019 Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song

In many applications, a similar MIP model is solved on a regular basis, maintaining remarkable similarities in model structures and solution appearances but differing in formulation coefficients.

Combinatorial Optimization

Learning Hierarchical Features for Visual Object Tracking with Recursive Neural Networks

no code implementations6 Jan 2018 Li Wang, Ting Liu, Bing Wang, Xulei Yang, Gang Wang

First, we learn RNN parameters to discriminate between the target object and background in the first frame of a test sequence.

Frame Visual Object Tracking

Joint Calibration of Panoramic Camera and Lidar Based on Supervised Learning

no code implementations9 Sep 2017 Mingwei Cao, Ming Yang, Chunxiang Wang, Yeqiang Qian, Bing Wang

In view of contemporary panoramic camera-laser scanner system, the traditional calibration method is not suitable for panoramic cameras whose imaging model is extremely nonlinear.


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

no code implementations15 May 2016 Bing Wang, Li Wang, Bing Shuai, Zhen Zuo, Ting Liu, Kap Luk Chan, Gang Wang

Then the Siamese CNN and temporally constrained metrics are jointly learned online to construct the appearance-based tracklet affinity models.

Multi-Object Tracking Multi-Task Learning

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

no code implementations20 Nov 2015 Bing Wang, Gang Wang, Kap Luk Chan, Li Wang

In this paper, we present a novel method based on online target-specific metric learning and coherent dynamics estimation for tracklet (track fragment) association by network flow optimization in long-term multi-person tracking.

Metric Learning

Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks

no code implementations13 Sep 2015 Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang

In this manuscript, we integrate CNNs with HRNNs, and develop end-to-end convolutional hierarchical recurrent neural networks (C-HRNNs).

General Classification Image Classification

DAG-Recurrent Neural Networks For Scene Labeling

no code implementations CVPR 2016 Bing Shuai, Zhen Zuo, Gang Wang, Bing Wang

In image labeling, local representations for image units are usually generated from their surrounding image patches, thus long-range contextual information is not effectively encoded.

General Classification Scene Labeling +1

Integrating Parametric and Non-Parametric Models For Scene Labeling

no code implementations CVPR 2015 Bing Shuai, Gang Wang, Zhen Zuo, Bing Wang, Lifan Zhao

We adopt Convolutional Neural Networks (CNN) as our parametric model to learn discriminative features and classifiers for local patch classification.

General Classification Metric Learning +1

Tracklet Association with Online Target-Specific Metric Learning

no code implementations CVPR 2014 Bing Wang, Gang Wang, Kap Luk Chan, Li Wang

In our method, target-specific similarity metrics are learned, which give rise to the appearance-based models used in the tracklet affinity estimation.

Metric Learning

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

no code implementations9 Jan 2014 Bing Wang, Yao-hua Meng, Xiao-hong Yu

For learning problem of Radial Basis Function Process Neural Network (RBF-PNN), an optimization training method based on GA combined with SA is proposed in this paper.

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