b'Xiang Gao'

research

∙ 07/20/2023

Sensing User's Activity, Channel, and Location with Near-Field Extra-Large-Scale MIMO

This paper proposes a grant-free massive access scheme based on the mill...

0 Li Qiao, et al. ∙

research

∙ 06/08/2023

Open Set Relation Extraction via Unknown-Aware Training

The existing supervised relation extraction methods have achieved impres...

0 Jun Zhao, et al. ∙

research

∙ 06/01/2023

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems

More and more edge devices and mobile apps are leveraging deep learning ...

0 Mingyi Zhou, et al. ∙

research

∙ 05/22/2023

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model

Pretrained language models have achieved remarkable success in various n...

0 Xiao Wang, et al. ∙

research

∙ 11/23/2022

Program Repair

Automated program repair is an emerging technology which consists of a s...

0 Xiang Gao, et al. ∙

research

∙ 08/02/2022

Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization

Image cartoonization is recently dominated by generative adversarial net...

2 Xiang Gao, et al. ∙

research

∙ 06/26/2022

Multi-view Feature Augmentation with Adaptive Class Activation Mapping

We propose an end-to-end-trainable feature augmentation module built for...

5 Xiang Gao, et al. ∙

research

∙ 05/21/2022

Improving automatically generated code from Codex via Automated Program Repair

Large language models, e.g., Codex and AlphaCode, have shown capability ...

0 Zhiyu Fan, et al. ∙

research

∙ 01/08/2022

SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception

Due to the wavelength-dependent light attenuation, refraction and scatte...

7 Qi Qi, et al. ∙

research

∙ 08/30/2021

How to trust auto-generated code patches? A developer survey and empirical assessment of existing program repair tools

Automated program repair is an emerging technology that seeks to automat...

0 Yannic Noller, et al. ∙

research

∙ 08/05/2021

A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective

Objective: We develop a computer-aided diagnosis (CAD) system using deep...

13 Wei-Wen Hsu, et al. ∙

research

∙ 05/14/2021

Joint Retrieval and Generation Training for Grounded Text Generation

Recent advances in large-scale pre-training such as GPT-3 allow seemingl...

2 Yizhe Zhang, et al. ∙

research

∙ 04/16/2021

An Adversarially-Learned Turing Test for Dialog Generation Models

The design of better automated dialogue evaluation metrics offers the po...

11 Xiang Gao, et al. ∙

research

∙ 09/15/2020

Dialogue Response Ranking Training with Large-Scale Human Feedback Data

Existing open-domain dialog models are generally trained to minimize the...

0 Xiang Gao, et al. ∙

research

∙ 06/16/2020

Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration

This study is motivated by a new class of challenging control problems d...

0 Xiang Gao, et al. ∙

research

∙ 05/17/2020

MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform

We present MixingBoard, a platform for quickly building demos with a foc...

0 Xiang Gao, et al. ∙

research

∙ 05/01/2020

A Controllable Model of Grounded Response Generation

Current end-to-end neural conversation models inherently lack the flexib...

0 Zeqiu Wu, et al. ∙

research

∙ 04/05/2020

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space

When trained effectively, the Variational Autoencoder (VAE) can be both ...

1 Chunyuan Li, et al. ∙

research

∙ 03/17/2020

3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning

The prevalence of accessible depth sensing and 3D laser scanning techniq...

2 Qianjiang Hu, et al. ∙

research

∙ 11/19/2019

GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations

Recent advances in Graph Convolutional Neural Networks (GCNNs) have show...

0 Xiang Gao, et al. ∙

research

∙ 11/01/2019

DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

We present a large, tunable neural conversational response generation mo...

0 Yizhe Zhang, et al. ∙

research

∙ 09/11/2019

Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks

Graph Convolutional Neural Networks (GCNNs) extend classical CNNs to gra...

17 Jiaxiang Tang, et al. ∙

research

∙ 09/03/2019

Structuring Latent Spaces for Stylized Response Generation

Generating responses in a targeted style is a useful yet challenging tas...

0 Xiang Gao, et al. ∙

research

∙ 07/22/2019

Feature Graph Learning for 3D Point Cloud Denoising

Identifying an appropriate underlying graph kernel that reflects pairwis...

4 Xiang Gao, et al. ∙

research

∙ 06/06/2019

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading

Although neural conversation models are effective in learning how to pro...

5 Lianhui Qin, et al. ∙

research

∙ 04/28/2019

3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling

The prevalence of accessible depth sensing and 3D laser scanning techniq...

0 Qianjiang Hu, et al. ∙

research

∙ 04/23/2019

Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data

Semi-supervised classification on graph-structured data has received inc...

0 Xiang Gao, et al. ∙

research

∙ 04/21/2019

Complete Scene Reconstruction by Merging Images and Laser Scans

Image based modeling and laser scanning are two commonly used approaches...

0 Xiang Gao, et al. ∙

research

∙ 04/17/2019

A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition

Recently, data-driven based Automatic Speech Recognition (ASR) systems h...

0 Jiabin Xue, et al. ∙

research

∙ 04/08/2019

Visual Localization Using Sparse Semantic 3D Map

Accurate and robust visual localization under a wide range of viewing co...

1 Tianxin Shi, et al. ∙

research

∙ 03/13/2019

Consistent Dialogue Generation with Self-supervised Feature Learning

Generating responses that are consistent with the dialogue context is on...

0 Yizhe Zhang, et al. ∙

research

∙ 03/04/2019

Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer

The computer-aided detection (CADe) systems are developed to assist path...

32 Wei-Wen Hsu, et al. ∙

research

∙ 02/28/2019

Jointly Optimizing Diversity and Relevance in Neural Response Generation

Although recent neural conversation models have shown great potential, t...

0 Xiang Gao, et al. ∙

research

∙ 01/11/2019

Dialog System Technology Challenge 7

This paper introduces the Seventh Dialog System Technology Challenges (D...

0 Koichiro Yoshino, et al. ∙

research

∙ 11/29/2018

Generalized Graph Convolutional Networks for Skeleton-based Action Recognition

With the prevalence of accessible depth sensors, dynamic human body skel...

10 Xiang Gao, et al. ∙

research

∙ 08/03/2018

LDSO: Direct Sparse Odometry with Loop Closure

In this paper we present an extension of Direct Sparse Odometry (DSO) to...

0 Xiang Gao, et al. ∙

research

∙ 08/01/2018

Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate

In this paper, we propose a novel Global Norm-Aware Pooling (GNAP) block...

0 Sheng Chen, et al. ∙

research

∙ 04/20/2018

MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices

In this paper, we present a class of extremely efficient CNN models call...

0 Sheng Chen, et al. ∙

research

∙ 03/23/2018

CSfM: Community-based Structure from Motion

Structure-from-Motion approaches could be broadly divided into two class...

0 Hainan Cui, et al. ∙

research

∙ 03/11/2018

Deep reinforcement learning for time series: playing idealized trading games

Deep Q-learning is investigated as an end-to-end solution to estimate th...

0 Xiang Gao, et al. ∙

research

∙ 09/26/2017

Exploring the Design Space of Immersive Urban Analytics

Recent years have witnessed the rapid development and wide adoption of i...

0 Zhutian Chen, et al. ∙

research

∙ 05/11/2017

Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect

Monocular visual odometry (VO) has seen tremendous improvements in accur...

0 Nan Yang, et al. ∙

research

∙ 05/19/2016

Randomized Primal-Dual Proximal Block Coordinate Updates

In this paper we propose a randomized primal-dual proximal block coordin...

0 Xiang Gao, et al. ∙

Xiang Gao

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