b'Tao Xu'

research

∙ 03/31/2023

AI-Oriented Two-Phase Multi-Factor Authentication in SAGINs: Prospects and Challenges

Space-air-ground integrated networks (SAGINs), which have emerged as an ...

0 Bin Yang, et al. ∙

research

∙ 02/06/2023

Challenges and Opportunities of Content Optimization for Freeform User Interfaces

While recent innovations on shape technologies allow for the creation of...

0 Aziz Niyazov, et al. ∙

research

∙ 12/06/2022

Robust Speech Recognition via Large-Scale Weak Supervision

We study the capabilities of speech processing systems trained simply to...

4 Alec Radford, et al. ∙

research

∙ 11/21/2022

Intelligent Computing: The Latest Advances, Challenges and Future

Computing is a critical driving force in the development of human civili...

16 Shiqiang Zhu, et al. ∙

research

∙ 11/12/2022

3D-Aware Encoding for Style-based Neural Radiance Fields

We tackle the task of NeRF inversion for style-based neural radiance fie...

4 Yu-Jhe Li, et al. ∙

research

∙ 05/24/2022

Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification

Extreme multi-label text classification (XMTC) refers to the problem of ...

14 Yuan Wang, et al. ∙

research

∙ 05/12/2022

Predictability Exponent of Stochastic Dynamical Systems

Predicting the trajectory of stochastic dynamical systems (SDSs) is an i...

0 Tao Xu, et al. ∙

research

∙ 04/29/2022

RAR-PINN algorithm for the data-driven vector-soliton solutions and parameter discovery of coupled nonlinear equations

This work aims to provide an effective deep learning framework to predic...

0 Shu-Mei Qin, et al. ∙

research

∙ 02/27/2022

DAGAM: A Domain Adversarial Graph Attention Model for Subject Independent EEG-Based Emotion Recognition

One of the most significant challenges of EEG-based emotion recognition ...

5 Tao Xu, et al. ∙

research

∙ 01/24/2022

Text and Code Embeddings by Contrastive Pre-Training

Text embeddings are useful features in many applications such as semanti...

5 Arvind Neelakantan, et al. ∙

research

∙ 10/11/2021

Unsupervised Neural Machine Translation with Generative Language Models Only

We show how to derive state-of-the-art unsupervised neural machine trans...

4 Jesse Michael Han, et al. ∙

research

∙ 07/09/2021

Deep Image Synthesis from Intuitive User Input: A Review and Perspectives

In many applications of computer graphics, art and design, it is desirab...

5 Yuan Xue, et al. ∙

research

∙ 03/09/2021

FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

With the rapid development of deep learning, many deep learning based ap...

7 Xian Sun, et al. ∙

research

∙ 03/08/2021

Autonomous object harvesting using synchronized optoelectronic microrobots

Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile micro...

11 Christopher Bendkowski, et al. ∙

research

∙ 01/13/2021

Asymmetric self-play for automatic goal discovery in robotic manipulation

We train a single, goal-conditioned policy that can solve many robotic m...

12 OpenAI OpenAI, et al. ∙

research

∙ 12/01/2020

Low Bandwidth Video-Chat Compression using Deep Generative Models

To unlock video chat for hundreds of millions of people hindered by poor...

2 Maxime Oquab, et al. ∙

research

∙ 10/31/2020

Differentially Private ADMM Algorithms for Machine Learning

In this paper, we study efficient differentially private alternating dir...

18 Tao Xu, et al. ∙

research

∙ 10/03/2020

A simulation environment for drone cinematography

In this paper, we present a workflow for the simulation of drone operati...

1 Fan Zhang, et al. ∙

research

∙ 04/12/2020

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

Differentiable Neural Architecture Search (DNAS) has demonstrated great ...

17 Alvin Wan, et al. ∙

research

∙ 04/24/2019

Computer-aided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms

Uterine cancer, also known as endometrial cancer, can seriously affect t...

36 Hao Sun, et al. ∙

research

∙ 10/22/2018

Applying Deep Learning To Airbnb Search

The application to search ranking is one of the biggest machine learning...

1 Malay Haldar, et al. ∙

research

∙ 09/17/2018

Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue

Objective: Ultrahigh-resolution optical coherence microscopy (OCM) has r...

0 Yutao Ma, et al. ∙

research

∙ 05/23/2018

GPU Accelerated Cascade Hashing Image Matching for Large Scale 3D Reconstruction

Image feature point matching is a key step in Structure from Motion(SFM)...

0 Tao Xu, et al. ∙

research

∙ 05/01/2018

Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization

Multiobjective optimization evolutionary algorithms have been successful...

0 Wei Huang, et al. ∙

research

∙ 04/30/2018

New Methods of Studying Valley Fitness Landscapes

The word "valley" is a popular term used in intuitively describing fitne...

0 Jun He, et al. ∙

research

∙ 03/05/2018

Segmentation of Drosophila Heart in Optical Coherence Microscopy Images Using Convolutional Neural Networks

Convolutional neural networks are powerful tools for image segmentation ...

0 Lian Duan, et al. ∙

research

∙ 02/10/2018

Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning

Bronchoscopy inspection as a follow-up procedure from the radiological i...

0 Tao Tan, et al. ∙

research

∙ 11/28/2017

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

In this paper, we propose an Attentional Generative Adversarial Network ...

1 Tao Xu, et al. ∙

research

∙ 11/07/2017

On the Discrimination-Generalization Tradeoff in GANs

Generative adversarial training can be generally understood as minimizin...

0 Pengchuan Zhang, et al. ∙

research

∙ 10/19/2017

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Although Generative Adversarial Networks (GANs) have shown remarkable su...

0 Han Zhang, et al. ∙

research

∙ 06/06/2017

SegAN: Adversarial Network with Multi-scale L_1 Loss for Medical Image Segmentation

Inspired by classic generative adversarial networks (GAN), we propose a ...

0 Yuan Xue, et al. ∙

research

∙ 12/10/2016

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Synthesizing high-quality images from text descriptions is a challenging...

0 Han Zhang, et al. ∙

research

∙ 09/30/2015

Multi-objective Differential Evolution with Helper Functions for Constrained Optimization

Solving constrained optimization problems by multi-objective evolutionar...

0 Tao Xu, et al. ∙

research

∙ 10/15/2014

High Order Structure Descriptors for Scene Images

Structure information is ubiquitous in natural scene images and it plays...

0 Wenya Zhu, et al. ∙

research

∙ 10/15/2014

Efficient Image Categorization with Sparse Fisher Vector

In object recognition, Fisher vector (FV) representation is one of the s...

0 Xiankai Lu, et al. ∙

Tao Xu

Featured Co-authors