b'He Zhang'

research

∙ 03/22/2023

LightPainter: Interactive Portrait Relighting with Freehand Scribble

Recent portrait relighting methods have achieved realistic results of po...

0 Yiqun Mei, et al. ∙

research

∙ 03/22/2023

From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding

Knowledge graph embedding (KGE) that maps entities and relations into ve...

0 Borui Cai, et al. ∙

research

∙ 03/01/2023

Semi-supervised Parametric Real-world Image Harmonization

Learning-based image harmonization techniques are usually trained to und...

0 Ke Wang, et al. ∙

research

∙ 02/28/2023

PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing

Lighting effects such as shadows or reflections are key in making synthe...

0 Yichen Sheng, et al. ∙

research

∙ 02/13/2023

A Reference Architecture for Blockchain-based Traceability Systems Using Domain-Driven Design and Microservices

Traceability systems are important for solving problems due to the incre...

0 Yanze Wang, et al. ∙

research

∙ 01/30/2023

On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks

Due to the emergence of graph neural networks (GNNs) and their widesprea...

0 He Zhang, et al. ∙

research

∙ 01/16/2023

Metrics for Software Process Simulation Modeling

Background: Software Process Simulation (SPS) has become an effective to...

0 Bohan Liu, et al. ∙

research

∙ 10/30/2022

How Far are We from Robust Long Abstractive Summarization?

Abstractive summarization has made tremendous progress in recent years. ...

0 Huan Yee Koh, et al. ∙

research

∙ 10/26/2022

LinearCoFold and LinearCoPartition: Linear-Time Algorithms for Secondary Structure Prediction of Interacting RNA molecules

Many ncRNAs function through RNA-RNA interactions. Fast and reliable RNA...

0 He Zhang, et al. ∙

research

∙ 09/05/2022

Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery

Traceability approves trace links among software artifacts based on whet...

0 Hui Gao, et al. ∙

research

∙ 08/21/2022

A predictor-corrector deep learning algorithm for high dimensional stochastic partial differential equations

In this paper, we present a deep learning-based numerical method for app...

0 He Zhang, et al. ∙

research

∙ 06/29/2022

LinearAlifold: Linear-Time Consensus Structure Prediction for RNA Alignments

Predicting the consensus structure of a set of aligned RNA homologs is a...

0 Liang Zhang, et al. ∙

research

∙ 06/17/2022

A Flexible Diffusion Model

Diffusion (score-based) generative models have been widely used for mode...

13 Weitao Du, et al. ∙

research

∙ 05/16/2022

Trustworthy Graph Neural Networks: Aspects, Methods and Trends

Graph neural networks (GNNs) have emerged as a series of competent graph...

0 He Zhang, et al. ∙

research

∙ 05/03/2022

A Cross-Company Ethnographic Study on Software Teams for DevOps and Microservices: Organization, Benefits, and Issues

Context: DevOps and microservices are acknowledged to be important new p...

0 Xin Zhou, et al. ∙

research

∙ 05/01/2022

Unified Abstract Syntax Tree Representation Learning for Cross-Language Program Classification

Program classification can be regarded as a high-level abstraction of co...

0 Kesu Wang, et al. ∙

research

∙ 04/21/2022

An Industrial Experience Report on Retro-inspection

To reinforce the quality of code delivery, especially to improve future ...

0 Lanxin Yang, et al. ∙

research

∙ 04/20/2022

Modeling Review History for Reviewer Recommendation:A Hypergraph Approach

Modern code review is a critical and indispensable practice in a pull-re...

0 Guoping Rong, et al. ∙

research

∙ 02/25/2022

Projective Ranking-based GNN Evasion Attacks

Graph neural networks (GNNs) offer promising learning methods for graph-...

0 He Zhang, et al. ∙

research

∙ 01/18/2022

Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation

Deep image matting methods have achieved increasingly better results on ...

0 Yutong Dai, et al. ∙

research

∙ 01/16/2022

Temporal Knowledge Graph Completion: A Survey

Knowledge graph completion (KGC) can predict missing links and is crucia...

0 Borui Cai, et al. ∙

research

∙ 12/20/2021

Lite Vision Transformer with Enhanced Self-Attention

Despite the impressive representation capacity of vision transformer mod...

0 Chenglin Yang, et al. ∙

research

∙ 12/19/2021

HVTR: Hybrid Volumetric-Textural Rendering for Human Avatars

We propose a novel neural rendering pipeline, Hybrid Volumetric-Textural...

0 Tao Hu, et al. ∙

research

∙ 10/29/2021

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model

Understanding protein sequences is vital and urgent for biology, healthc...

0 Liang He, et al. ∙

research

∙ 10/26/2021

Equivariant vector field network for many-body system modeling

Modeling many-body systems has been a long-standing challenge in science...

0 Weitao Du, et al. ∙

research

∙ 08/15/2021

SSH: A Self-Supervised Framework for Image Harmonization

Image harmonization aims to improve the quality of image compositing by ...

0 Yifan Jiang, et al. ∙

research

∙ 07/27/2021

Federated Learning Meets Natural Language Processing: A Survey

Federated Learning aims to learn machine learning models from multiple d...

24 Ming Liu, et al. ∙

research

∙ 06/21/2021

HFContractFuzzer: Fuzzing Hyperledger Fabric Smart Contracts for Vulnerability Detection

With its unique advantages such as decentralization and immutability, bl...

0 Mengjie Ding, et al. ∙

research

∙ 06/07/2021

DoubleField: Bridging the Neural Surface and Radiance Fields for High-fidelity Human Rendering

We introduce DoubleField, a novel representation combining the merits of...

7 Ruizhi Shao, et al. ∙

research

∙ 05/21/2021

Error Bounds of the Invariant Statistics in Machine Learning of Ergodic Itô Diffusions

This paper studies the theoretical underpinnings of machine learning of ...

0 He Zhang, et al. ∙

research

∙ 03/24/2021

Exploiting the Unique Expression for Improved Sentiment Analysis in Software Engineering Text

Sentiment analysis on software engineering (SE) texts has been widely us...

0 Kexin Sun, et al. ∙

research

∙ 03/18/2021

Enhanced AGCM3D: A Highly Scalable Dynamical Core of Atmospheric General Circulation Model Based on Leap-Format

The finite-difference dynamical core based on the equal-interval latitud...

0 Hang Cao, et al. ∙

research

∙ 03/17/2021

CrowdSim: A Hybrid Simulation Model for Failure Prediction in Crowdsourced Software Development

A typical crowdsourcing software development(CSD) marketplace consists o...

0 Razieh Saremi, et al. ∙

research

∙ 03/15/2021

Solving Backward Doubly Stochastic Differential Equations through Splitting Schemes

A splitting scheme for backward doubly stochastic differential equations...

0 Feng Bao, et al. ∙

research

∙ 03/11/2021

Using Relative Lines of Code to Guide Automated Test Generation for Python

Raw lines of code (LOC) is a metric that does not, at first glance, seem...

0 Josie Holmes, et al. ∙

research

∙ 12/13/2020

Meticulous Object Segmentation

Compared with common image segmentation tasks targeted at low-resolution...

0 Chenglin Yang, et al. ∙

research

∙ 12/12/2020

Mask Guided Matting via Progressive Refinement Network

We propose Mask Guided (MG) Matting, a robust matting framework that tak...

0 Qihang Yu, et al. ∙

research

∙ 11/28/2020

Uncertainty Quantification in Deep Learning through Stochastic Maximum Principle

We develop a probabilistic machine learning method, which formulates a c...

0 Richard Archibald, et al. ∙

research

∙ 11/04/2020

Deep Image Compositing

Image compositing is a task of combining regions from different images t...

0 He Zhang, et al. ∙

research

∙ 08/12/2020

Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?

Since 2009, the deep learning revolution, which was triggered by the int...

0 Simin Wang, et al. ∙

research

∙ 07/17/2020

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression

Obtaining training data for multi-document summarization (MDS) is time c...

0 Jinming Zhao, et al. ∙

research

∙ 07/06/2020

Traffic Agent Trajectory Prediction Using Social Convolution and Attention Mechanism

The trajectory prediction is significant for the decision-making of auto...

0 Tao Yang, et al. ∙

research

∙ 04/08/2020

Efficient mesh deformation using radial basis functions with a grouping-circular-based greedy algorithm

A grouping-circular-based (GCB) greedy algorithm is proposed to promote ...

0 Hong Fang, et al. ∙

research

∙ 01/20/2020

FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing

Recently, convolutional neural networks (CNNs) have achieved great impro...

16 Yu Dong, et al. ∙

research

∙ 12/31/2019

LinearPartition: Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities

RNA secondary structure prediction is widely used to understand RNA func...

0 He Zhang, et al. ∙

research

∙ 12/23/2019

Kernel Embedding Linear Response

In the paper, we study the problem of estimating linear response statist...

0 He Zhang, et al. ∙

research

∙ 12/22/2019

LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search

Motivation: Predicting the secondary structure of an RNA sequence is use...

0 Liang Huang, et al. ∙

research

∙ 11/19/2019

Dual affine moment invariants

Affine transformation is one of the most common transformations in natur...

0 You Hao, et al. ∙

research

∙ 10/30/2019

Linear Response Based Parameter Estimation in the Presence of Model Error

Recently, we proposed a method to estimate parameters in stochastic dyna...

0 He Zhang, et al. ∙

research

∙ 03/20/2019

Convolutional Sparse Coding for Compressed Sensing CT Reconstruction

Over the past few years, dictionary learning (DL)-based methods have bee...

0 Peng Bao, et al. ∙

He Zhang

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