b'Chao Liu'

research

∙ 05/15/2023

Improving ChatGPT Prompt for Code Generation

Automated code generation can be a powerful technique for software devel...

0 Chao Liu, et al. ∙

research

∙ 05/03/2023

Real-Time Radiance Fields for Single-Image Portrait View Synthesis

We present a one-shot method to infer and render a photorealistic 3D rep...

4 Alex Trevithick, et al. ∙

research

∙ 04/20/2023

Is ChatGPT a Good Recommender? A Preliminary Study

Recommendation systems have witnessed significant advancements and have ...

0 Junling Liu, et al. ∙

research

∙ 04/14/2023

BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning

Automatic and periodic recompiling of building databases with up-to-date...

0 Cheng Liao, et al. ∙

research

∙ 03/08/2023

Corner Detection Based on Multi-directional Gabor Filters with Multi-scales

Gabor wavelet is an essential tool for image analysis and computer visio...

0 Huaqing Wang, et al. ∙

research

∙ 12/07/2022

Generalized Hamming Weights of Linear Codes from Quadratic Forms over Finite Fields of Even Characteristic

The generalized Hamming weight of linear codes is a natural generalizati...

0 Chao Liu, et al. ∙

research

∙ 09/13/2022

Look Before You Leap: Improving Text-based Person Retrieval by Learning A Consistent Cross-modal Common Manifold

The core problem of text-based person retrieval is how to bridge the het...

0 Zijie Wang, et al. ∙

research

∙ 09/13/2022

CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval

Given a natural language description, text-based person retrieval aims t...

0 Zijie Wang, et al. ∙

research

∙ 08/28/2022

Asynchronous Training Schemes in Distributed Learning with Time Delay

In the context of distributed deep learning, the issue of stale weights ...

0 Haoxiang Wang, et al. ∙

research

∙ 07/14/2022

Immunofluorescence Capillary Imaging Segmentation: Cases Study

Nonunion is one of the challenges faced by orthopedics clinics for the t...

0 Runpeng Hou, et al. ∙

research

∙ 06/27/2022

SARNet: Semantic Augmented Registration of Large-Scale Urban Point Clouds

Registering urban point clouds is a quite challenging task due to the la...

0 Chao Liu, et al. ∙

research

∙ 04/27/2022

TransHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction

Knowledge graph embedding methods are important for knowledge graph comp...

0 Yizhi Li, et al. ∙

research

∙ 04/25/2022

Enhancing Marine Data Transmission with Socially-Aware Resilient Vessel Networks

With the multi-dimensional exploration towards oceans, enormous sensing ...

0 Ruobing Jiang, et al. ∙

research

∙ 04/09/2022

S4OD: Semi-Supervised learning for Single-Stage Object Detection

Single-stage detectors suffer from extreme foreground-background class i...

2 Yueming Zhang, et al. ∙

research

∙ 03/28/2022

MixNN: A design for protecting deep learning models

In this paper, we propose a novel design, called MixNN, for protecting d...

0 Chao Liu, et al. ∙

research

∙ 03/26/2022

Implementation of an Automated Learning System for Non-experts

Automated machine learning systems for non-experts could be critical for...

0 Phoenix X. Huang, et al. ∙

research

∙ 03/07/2022

Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Context

Task-oriented dialogue systems have become overwhelmingly popular in rec...

9 Nan Su, et al. ∙

research

∙ 01/13/2022

Recursive Least Squares Policy Control with Echo State Network

The echo state network (ESN) is a special type of recurrent neural netwo...

0 Chunyuan Zhang, et al. ∙

research

∙ 01/11/2022

A Low-Cost, Highly Customizable Solution for Position Estimation in Modular Robots

Accurate position sensing is important for state estimation and control ...

0 Chao Liu, et al. ∙

research

∙ 01/04/2022

Efficient-Dyn: Dynamic Graph Representation Learning via Event-based Temporal Sparse Attention Network

Static graph neural networks have been widely used in modeling and repre...

0 Yan Pang, et al. ∙

research

∙ 01/04/2022

Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification

Graph neural networks can be effectively applied to find solutions for m...

0 Yan Pang, et al. ∙

research

∙ 12/01/2021

Trusted And Confidential Program Analysis

We develop the concept of Trusted and Confidential Program Analysis (TCP...

0 Han Liu, et al. ∙

research

∙ 10/31/2021

Learned Image Compression with Separate Hyperprior Decoders

Learned image compression techniques have achieved considerable developm...

0 Zhao Zan, et al. ∙

research

∙ 09/05/2021

Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning

Adversarial attacks attempt to disrupt the training, retraining and util...

34 Yusen Wu, et al. ∙

research

∙ 08/19/2021

Learned Video Compression with Residual Prediction and Loop Filter

In this paper, we propose a learned video codec with a residual predicti...

0 Chao Liu, et al. ∙

research

∙ 08/10/2021

MiB: Asynchronous BFT with More Replicas

State-of-the-art asynchronous Byzantine fault-tolerant (BFT) protocols, ...

0 Chao Liu, et al. ∙

research

∙ 07/31/2021

Motion Planning for Variable Topology Trusses: Reconfiguration and Locomotion

Truss robots are highly redundant parallel robotic systems and can be ap...

0 Chao Liu, et al. ∙

research

∙ 06/16/2021

2nd Place Solution for Waymo Open Dataset Challenge – Real-time 2D Object Detection

In an autonomous driving system, it is essential to recognize vehicles, ...

0 Yueming Zhang, et al. ∙

research

∙ 04/06/2021

A Quadratic Programming Approach to Manipulation in Real-Time Using Modular Robots

Motion planning in high-dimensional space is a challenging task. In orde...

0 Chao Liu, et al. ∙

research

∙ 04/01/2021

SMORES-EP, a Modular Robot with Parallel Self-assembly

Self-assembly of modular robotic systems enables the construction of com...

0 Chao Liu, et al. ∙

research

∙ 03/04/2021

BLOCKEYE: Hunting For DeFi Attacks on Blockchain

Decentralized finance, i.e., DeFi, has become the most popular type of a...

0 Bin Wang, et al. ∙

research

∙ 12/24/2020

LEUGAN:Low-Light Image Enhancement by Unsupervised Generative Attentional Networks

Restoring images from low-light data is a challenging problem. Most exis...

0 Yangyang Qu, et al. ∙

research

∙ 12/24/2020

UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement

Low-light image enhancement, such as recovering color and texture detail...

2 Yangyang Qu, et al. ∙

research

∙ 11/04/2020

Opportunities and Challenges in Code Search Tools

Code search is a core software engineering task. Effective code search t...

0 Chao Liu, et al. ∙

research

∙ 11/02/2020

FeatherTTS: Robust and Efficient attention based Neural TTS

Attention based neural TTS is elegant speech synthesis pipeline and has ...

0 Qiao Tian, et al. ∙

research

∙ 10/25/2020

A QP-adaptive Mechanism for CNN-based Filter in Video Coding

Convolutional neural network (CNN)-based filters have achieved great suc...

0 Chao Liu, et al. ∙

research

∙ 09/06/2020

A Convolutional Neural Network-Based Low Complexity Filter

Convolutional Neural Network (CNN)-based filters have achieved significa...

0 Chao Liu, et al. ∙

research

∙ 09/05/2020

Reverse-engineering Bar Charts Using Neural Networks

Reverse-engineering bar charts extracts textual and numeric information ...

18 Fangfang Zhou, et al. ∙

research

∙ 06/25/2020

On the Replicability and Reproducibility of Deep Learning in Software Engineering

Deep learning (DL) techniques have gained significant popularity among s...

0 Chao Liu, et al. ∙

research

∙ 05/29/2020

Simplifying Deep-Learning-Based Model for Code Search

To accelerate software development, developers frequently search and reu...

0 Chao Liu, et al. ∙

research

∙ 01/28/2020

Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study an

Background: Elderly patients with MODS have high risk of death and poor ...

0 Xiaoli Liu, et al. ∙

research

∙ 11/22/2019

Dual Learning-based Video Coding with Inception Dense Blocks

In this paper, a dual learning-based method in intra coding is introduce...

0 Chao Liu, et al. ∙

research

∙ 10/21/2019

Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net

The clinical treatment of degenerative and developmental lumbar spinal s...

19 He Tang, et al. ∙

research

∙ 09/30/2019

MIOpen: An Open Source Library For Deep Learning Primitives

Deep Learning has established itself to be a common occurrence in the bu...

71 Jehandad Khan, et al. ∙

research

∙ 09/29/2019

Salient Instance Segmentation via Subitizing and Clustering

The goal of salient region detection is to identify the regions of an im...

12 Jialun Pei, et al. ∙

research

∙ 08/02/2019

DELTA: A DEep learning based Language Technology plAtform

In this paper we present DELTA, a deep learning based language technolog...

0 Kun Han, et al. ∙

research

∙ 01/09/2019

Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera

Depth sensing is crucial for 3D reconstruction and scene understanding. ...

14 Chao Liu, et al. ∙

research

∙ 11/09/2018

EASYFLOW: Keep Ethereum Away From Overflow

While Ethereum smart contracts enabled a wide range of blockchain applic...

0 Jianbo Gao, et al. ∙

research

∙ 07/03/2018

Implementing SCRUM to develop a connected robot

Agile methods are receiving a growing interest from industry and these a...

0 Diego Armando Diaz Vargas, et al. ∙

research

∙ 06/21/2018

Behavior-based evaluation of session satisfaction

Nowadays, web search becomes more and more popular all over the world. M...

0 Chao Liu, et al. ∙

Chao Liu

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