Search Results for author: Fei Gao

Found 62 papers, 25 papers with code

Machine Translation With Weakly Paired Bilingual Documents

no code implementations ICLR 2019 Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Xu Tan, Tao Qin, Tie-Yan Liu

Neural machine translation, which achieves near human-level performance in some languages, strongly relies on the availability of large amounts of parallel sentences, which hinders its applicability to low-resource language pairs.

Translation Unsupervised Machine Translation

Solution of integrals with fractional Brownian motion for different Hurst indices

no code implementations4 Mar 2022 Fei Gao, Shuaiqiang Liu, Cornelis W. Oosterlee, Nico M. Temme

In this paper, we will evaluate integrals that define the conditional expectation, variance and characteristic function of stochastic processes with respect to fractional Brownian motion (fBm) for all relevant Hurst indices, i. e. $H \in (0, 1)$.

An effective coaxiality measurement for twist drill based on line structured light sensor

no code implementations18 Dec 2021 Ailing Cheng, Jiaojiao Ye, Fei Yang, Shufang Lu, Fei Gao

Aiming at the accurate and effective coaxiality measurement for twist drill with irregular surface, an optical measurement mechanism is proposed in this paper.

Benchmarking emergency department triage prediction models with machine learning and large public electronic health records

1 code implementation22 Nov 2021 Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu

In this paper, based on the Medical Information Mart for Intensive Care IV Emergency Department (MIMIC-IV-ED) database, we developed a publicly available benchmark suite for ED triage predictive models and created a benchmark dataset that contains over 400, 000 ED visits from 2011 to 2019.

Resistance-Time Co-Modulated PointNet for Temporal Super-Resolution Simulation of Blood Vessel Flows

no code implementations19 Nov 2021 Zhizheng Jiang, Fei Gao, Renshu Gu, Jinlan Xu, Gang Xu, Timon Rabczuk

In this paper, a novel deep learning framework is proposed for temporal super-resolution simulation of blood vessel flows, in which a high-temporal-resolution time-varying blood vessel flow simulation is generated from a low-temporal-resolution flow simulation result.

Super-Resolution

Deep Learning Adapted Acceleration for Limited-view Photoacoustic Computed Tomography

no code implementations8 Nov 2021 Hengrong Lan, Jiali Gong, Fei Gao

To adapt fast and high-quality reconstruction of limited-view PA data, in this paper, a model-based method that combines the mathematical variational model with deep learning is proposed to speed up and regularize the unrolled procedure of reconstruction.

SSIM

Kernel Mean Estimation by Marginalized Corrupted Distributions

no code implementations10 Jul 2021 Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu

Estimating the kernel mean in a reproducing kernel Hilbert space is a critical component in many kernel learning algorithms.

TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data

no code implementations6 Jun 2021 Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang

To simultaneously extract spatial and relational information from tables, we propose a novel neural network architecture, TabularNet.

graph construction

Photoacoustic-monitored laser treatment for tattoo removal: a feasibility study

no code implementations26 May 2021 Yiyun Wang, Daohuai Jiang, Hengrong Lan, Feng Gao, Fei Gao

Skin blemishes and diseases have attracted increasing research interest in recent decades, due to their growing frequency of occurrence and the severity of related diseases.

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective

no code implementations17 May 2021 Lun Du, Xu Chen, Fei Gao, Kunqing Xie, Shi Han, Dongmei Zhang

Network Embedding aims to learn a function mapping the nodes to Euclidean space contribute to multiple learning analysis tasks on networks.

Link Prediction Network Embedding +1

Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images

no code implementations24 Mar 2021 Yishan He, Fei Gao, Jun Wang, Amir Hussain, Erfu Yang, Huiyu Zhou

In this paper, in order to solve the boundary discontinuity problem in OBB regression, we propose to detect SAR ships by learning polar encodings.

Visibility-aware Trajectory Optimization with Application to Aerial Tracking

1 code implementation11 Mar 2021 Qianhao Wang, Yuman Gao, Jialin Ji, Chao Xu, Fei Gao

The visibility of targets determines performance and even success rate of various applications, such as active slam, exploration, and target tracking.

Trajectory Planning Robotics

Integrating Fast Regional Optimization into Sampling-based Kinodynamic Planning for Multirotor Flight

1 code implementation9 Mar 2021 Hongkai Ye, Tianyu Liu, Chao Xu, Fei Gao

For real-time multirotor kinodynamic motion planning, the efficiency of sampling-based methods is usually hindered by difficult-to-sample homotopy classes like narrow passages.

Motion Planning Robotics

Certification of three black boxes with unsharp measurements using $3 \rightarrow 1 $ sequential quantum random access codes

no code implementations4 Mar 2021 Shihui Wei, Fenzhuo Guo, Fei Gao, Qiao-Yan Wen

We derive optimal trade-off between the two correlation witnesses in $ 3 \rightarrow 1 $ sequential quantum random access codes (QRACs), and use the result to complete the self-testing of quantum preparations, instruments and measurements for three sequential parties.

Quantum Physics

Fully coupled functional equations for the quark sector of QCD

no code implementations25 Feb 2021 Fei Gao, Joannis Papavassiliou, Jan M. Pawlowski

The components of the quark propagator obtained from our approach are in excellent agreement with the results from Schwinger-Dyson equations, the functional renormalisation group, and lattice QCD simulation, a simple benchmark observable being the chiral condensate in the chiral limit, which is computed as $(245\,\textrm{MeV})^3$.

High Energy Physics - Phenomenology High Energy Physics - Lattice High Energy Physics - Theory Nuclear Theory

Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform

no code implementations9 Feb 2021 Qinglong Li, Fei Gao, Haixin Guan, Kaichi Ma

Speech enhancement algorithms based on deep learning have been improved in terms of speech intelligibility and perceptual quality greatly.

Speech Enhancement

AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data

1 code implementation22 Jan 2021 Mengjie Guo, Hengrong Lan, Changchun Yang, Fei Gao

In this paper, we firstly propose to employ a novel signal processing method to make sparse PA raw data more suitable for the neural network, concurrently speeding up image reconstruction.

Image Reconstruction

Superposed Wave (s-Wave): Accelerating Photoacoustic Simulation

no code implementations24 Dec 2020 Jiadong Zhang, Tengbo Lyu, Changchun Yang, Yimeng Yang, Shanshan Guo, Feng Gao, Fei Gao

However, it is still in a developing stage, and a lot of experiments have to be performed in a simulation setting.

Medical Physics

A Jointed Feature Fusion Framework for Photoacoustic Reconstruction

no code implementations4 Dec 2020 Hengrong Lan, Changchun Yang, Fei Gao

The cross-domain features from limited-view position-wise data and the reconstructed image are fused by a backtracked supervision.

Image Reconstruction

Learning-based 3D Occupancy Prediction for Autonomous Navigation in Occluded Environments

1 code implementation8 Nov 2020 Lizi Wang, Hongkai Ye, Qianhao Wang, Yuman Gao, Chao Xu, Fei Gao

In autonomous navigation of mobile robots, sensors suffer from massive occlusion in cluttered environments, leaving significant amount of space unknown during planning.

Autonomous Navigation

EGO-Planner: An ESDF-free Gradient-based Local Planner for Quadrotors

1 code implementation20 Aug 2020 Xin Zhou, Zhepei Wang, Chao Xu, Fei Gao

Gradient-based planners are widely used for quadrotor local planning, in which a Euclidean Signed Distance Field (ESDF) is crucial for evaluating gradient magnitude and direction.

Robotics

Deep Learning Enables Robust and Precise Light Focusing on Treatment Needs

no code implementations16 Aug 2020 Changchun Yang, Hengrong Lan, Fei Gao

If light passes through the body tissues, focusing only on areas where treatment needs, such as tumors, will revolutionize many biomedical imaging and therapy technologies.

Deep learning for photoacoustic imaging: a survey

1 code implementation10 Aug 2020 Changchun Yang, Hengrong Lan, Feng Gao, Fei Gao

In this review, we performed an overview of some new developments and challenges in the application of machine learning to medical image analysis, with a special focus on deep learning in photoacoustic imaging.

Image Reconstruction Medical Diagnosis +1

CMPCC: Corridor-based Model Predictive Contouring Control for Aggressive Drone Flight

1 code implementation7 Jul 2020 Jialin Ji, Xin Zhou, Chao Xu, Fei Gao

In this paper, we propose an efficient, receding horizon, local adaptive low-level planner as the middle layer between our original planner and controller.

Robotics

RAPTOR: Robust and Perception-aware Trajectory Replanning for Quadrotor Fast Flight

1 code implementation6 Jul 2020 Boyu Zhou, Jie Pan, Fei Gao, Shaojie Shen

In this paper, we present RAPTOR, a robust and perception-aware replanning framework to support fast and safe flight.

Robotics

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

1 code implementation ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2020 Shuo Wang, Yan-ran Li, Jiang Zhang, Qingye Meng, Lingwei Meng, Fei Gao

When predicting PM2. 5 concentrations, it is necessary to consider complex information sources since the concentrations are influenced by various factors within a long period.

Deep Learning Enabled Real-Time Photoacoustic Tomography System via Single Data Acquisition Channel

no code implementations21 Jan 2020 Hengrong Lan, Daohuai Jiang, Feng Gao, Fei Gao

In this work, we develop a novel PACT system to provide real-time imaging, which is achieved by a 120-elements ultrasound array only using a single data acquisition (DAQ) channel.

Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological Paths

2 code implementations29 Dec 2019 Boyu Zhou, Fei Gao, Jie Pan, Shaojie Shen

A path-guided optimization (PGO) approach is devised to tackle infeasible local minima, which improves the replanning success rate significantly.

Robotics

Bayesian machine learning for Boltzmann machine in quantum-enhanced feature spaces

no code implementations20 Dec 2019 Yusen Wu, Chao-hua Yu, Sujuan Qin, Qiaoyan Wen, Fei Gao

Specifically, the training phase provides a physical quantity to measure the posterior distribution in quantum feature spaces, and this measure is utilized to design the quantum maximum a posterior (QMAP) algorithm and the quantum predictive distribution estimator (QPDE).

Neural Machine Translation with Soft Prototype

1 code implementation NeurIPS 2019 Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Cheng Xiang Zhai, Tie-Yan Liu

Neural machine translation models usually use the encoder-decoder framework and generate translation from left to right (or right to left) without fully utilizing the target-side global information.

Machine Translation Translation

Normalization Helps Training of Quantized LSTM

1 code implementation NeurIPS 2019 Lu Hou, Jinhua Zhu, James Kwok, Fei Gao, Tao Qin, Tie-Yan Liu

The long-short-term memory (LSTM), though powerful, is memory and computa\x02tion expensive.

Quantization

Machine Translation With Weakly Paired Documents

no code implementations IJCNLP 2019 Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jian-Huang Lai, Tie-Yan Liu

1) We provide a simple approach to mine implicitly bilingual sentence pairs from document pairs which can then be used as supervised training signals.

Translation Unsupervised Machine Translation

Link Prediction via Graph Attention Network

no code implementations10 Oct 2019 Weiwei Gu, Fei Gao, Xiaodan Lou, Jiang Zhang

Link prediction aims to infer missing links or predicting the future ones based on currently observed partial networks, it is a fundamental problem in network science with tremendous real-world applications.

Graph Attention Information Retrieval +3

Gumbel-softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs

no code implementations16 Sep 2019 Jing Liu, Fei Gao, Jiang Zhang

Many problems in real life can be converted to combinatorial optimization problems (COPs) on graphs, that is to find a best node state configuration or a network structure such that the designed objective function is optimized under some constraints.

Combinatorial Optimization

Real-time Scalable Dense Surfel Mapping

1 code implementation10 Sep 2019 Kaixuan Wang, Fei Gao, Shaojie Shen

First, superpixels extracted from both intensity and depth images are used to model surfels in the system.

Superpixels

Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo

1 code implementation2 Aug 2019 Hengrong Lan, Daohuai Jiang, Changchun Yang, Fei Gao

Photoacoustic imaging (PAI) is an emerging non-invasive imaging modality combining the advantages of deep ultrasound penetration and high optical contrast.

Image Reconstruction

Depth Growing for Neural Machine Translation

1 code implementation ACL 2019 Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jian-Huang Lai, Tie-Yan Liu

While very deep neural networks have shown effectiveness for computer vision and text classification applications, how to increase the network depth of neural machine translation (NMT) models for better translation quality remains a challenging problem.

Machine Translation Text Classification +1

Soft Contextual Data Augmentation for Neural Machine Translation

1 code implementation ACL 2019 Jinhua Zhu, Fei Gao, Lijun Wu, Yingce Xia, Tao Qin, Wengang Zhou, Xue-Qi Cheng, Tie-Yan Liu

While data augmentation is an important trick to boost the accuracy of deep learning methods in computer vision tasks, its study in natural language tasks is still very limited.

Data Augmentation Language Modelling +2

Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization

no code implementations25 Apr 2019 Jingyuan Wang, Junjie Wu, Ze Wang, Fei Gao, Zhang Xiong

In this paper, we propose a Neighbor-Regularized and context-aware Non-negative Tensor Factorization model (NR-cNTF) to discover interpretable urban dynamics from urban heterogeneous data.

Traffic Prediction

Flying through a narrow gap using neural network: an end-to-end planning and control approach

1 code implementation21 Mar 2019 Jiarong Lin, Luqi Wang, Fei Gao, Shaojie Shen, Fu Zhang

To this end, we propose an end-to-end policy network, which imitates from the traditional pipeline and is fine-tuned using reinforcement learning.

Robotics

FIESTA: Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots

2 code implementations6 Mar 2019 Luxin Han, Fei Gao, Boyu Zhou, Shaojie Shen

We integrate FIESTA into a completed quadrotor system and validate it by both simulation and onboard experiments.

Robotics

Efficient Sequence Learning with Group Recurrent Networks

no code implementations NAACL 2018 Fei Gao, Lijun Wu, Li Zhao, Tao Qin, Xue-Qi Cheng, Tie-Yan Liu

Recurrent neural networks have achieved state-of-the-art results in many artificial intelligence tasks, such as language modeling, neural machine translation, speech recognition and so on.

Machine Translation Speech Recognition +1

SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis

no code implementations1 Mar 2018 Fei Gao, Teresa Wu, Jing Li, Bin Zheng, Lingxiang Ruan, Desheng Shang, Bhavika Patel

To evaluate the validity of our approach, we first develop a deep-CNN using 49 CEDM cases collected from Mayo Clinic to prove the contributions from recombined images for improved breast cancer diagnosis (0. 86 in accuracy using LE imaging vs. 0. 90 in accuracy using both LE and recombined imaging).

Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs

2 code implementations4 Dec 2017 Jun Yu, Xingxin Xu, Fei Gao, Shengjie Shi, Meng Wang, DaCheng Tao, Qingming Huang

Experimental results show that our method is capable of generating both visually comfortable and identity-preserving face sketches/photos over a wide range of challenging data.

 Ranked #1 on Face Sketch Synthesis on CUFS (FID metric)

Face Sketch Synthesis

FingerNet: An Unified Deep Network for Fingerprint Minutiae Extraction

no code implementations7 Sep 2017 Yao Tang, Fei Gao, Jufu Feng, Yuhang Liu

In this paper, we propose a new way to design deep convolutional network combining domain knowledge and the representation ability of deep learning.

Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems

no code implementations29 Dec 2016 Quanming Yao, James T. Kwok, Fei Gao, Wei Chen, Tie-Yan Liu

The proximal gradient algorithm has been popularly used for convex optimization.

Optimization and Control

Latent fingerprint minutia extraction using fully convolutional network

no code implementations30 Sep 2016 Yao Tang, Fei Gao, Jufu Feng

The CNN shares convolutional layers with the fully convolutional network to speed up.

A Novel Paradigm for Calculating Ramsey Number via Artificial Bee Colony Algorithm

no code implementations5 Dec 2015 Wei-Hao Mao, Fei Gao, Yi-Jin Dong, Wen-Ming Li

This paper proposed a novel methodology for constructing Ramsey graphs about R(3, 10), which uses Artificial Bee Colony optimization(ABC) to raise the lower bound of Ramsey number R(3, 10).

LightLDA: Big Topic Models on Modest Compute Clusters

1 code implementation4 Dec 2014 Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma

When building large-scale machine learning (ML) programs, such as big topic models or deep neural nets, one usually assumes such tasks can only be attempted with industrial-sized clusters with thousands of nodes, which are out of reach for most practitioners or academic researchers.

Topic Models

Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Applications on Reconstruction of 3D Ischemic Myocardium

no code implementations CVPR 2014 Jingjia Xu, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang

This paper describes the development and application of a new approach to total-variation (TV) minimization for reconstruction problems on geometrically-complex and unstructured volumetric mesh.

Cannot find the paper you are looking for? You can Submit a new open access paper.