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09/19/2023
Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for Efficient Thematic Analysis
Thematic analysis is a cornerstone of qualitative research, yet it is of...
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08/27/2023
Reconnecting An International Travel Network: The Personal Infrastructuring Work of International Travelers in A Multi-facet Crisis
In times of crisis, international travel becomes tenuous and anxiety pro...
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08/14/2023
Neural Categorical Priors for Physics-Based Character Control
Recent advances in learning reusable motion priors have demonstrated the...
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08/13/2023
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans with Guidance from High-Quality Isotropic Volumes
Accurate tissue segmentation of thick-slice fetal brain magnetic resonan...
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07/30/2023
Recent Advances in Hierarchical Multi-label Text Classification: A Survey
Hierarchical multi-label text classification aims to classify the input ...
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07/18/2023
LinearSankoff: Linear-time Simultaneous Folding and Alignment of RNA Homologs
The classical Sankoff algorithm for the simultaneous folding and alignme...
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06/13/2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
Real-world graphs generally have only one kind of tendency in their conn...
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06/08/2023
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning
Advances in deep learning have greatly improved structure prediction of ...
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06/07/2023
RD-Suite: A Benchmark for Ranking Distillation
The distillation of ranking models has become an important topic in both...
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06/01/2023
A Survey on Fairness-aware Recommender Systems
As information filtering services, recommender systems have extremely en...
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05/29/2023
Photoswap: Personalized Subject Swapping in Images
In an era where images and visual content dominate our digital landscape...
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03/22/2023
LightPainter: Interactive Portrait Relighting with Freehand Scribble
Recent portrait relighting methods have achieved realistic results of po...
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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...
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03/01/2023
Semi-supervised Parametric Real-world Image Harmonization
Learning-based image harmonization techniques are usually trained to und...
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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...
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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...
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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...
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01/16/2023
Metrics for Software Process Simulation Modeling
Background: Software Process Simulation (SPS) has become an effective to...
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10/30/2022
How Far are We from Robust Long Abstractive Summarization?
Abstractive summarization has made tremendous progress in recent years. ...
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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...
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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...
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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...
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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...
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06/17/2022
A Flexible Diffusion Model
Diffusion (score-based) generative models have been widely used for mode...
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05/16/2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Graph neural networks (GNNs) have emerged as a series of competent graph...
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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...
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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...
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04/21/2022
An Industrial Experience Report on Retro-inspection
To reinforce the quality of code delivery, especially to improve future ...
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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...
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02/25/2022
Projective Ranking-based GNN Evasion Attacks
Graph neural networks (GNNs) offer promising learning methods for graph-...
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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 ...
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01/16/2022
Temporal Knowledge Graph Completion: A Survey
Knowledge graph completion (KGC) can predict missing links and is crucia...
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12/20/2021
Lite Vision Transformer with Enhanced Self-Attention
Despite the impressive representation capacity of vision transformer mod...
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12/19/2021
HVTR: Hybrid Volumetric-Textural Rendering for Human Avatars
We propose a novel neural rendering pipeline, Hybrid Volumetric-Textural...
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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...
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10/26/2021
Equivariant vector field network for many-body system modeling
Modeling many-body systems has been a long-standing challenge in science...
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08/15/2021
SSH: A Self-Supervised Framework for Image Harmonization
Image harmonization aims to improve the quality of image compositing by ...
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07/27/2021
Federated Learning Meets Natural Language Processing: A Survey
Federated Learning aims to learn machine learning models from multiple d...
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06/21/2021
HFContractFuzzer: Fuzzing Hyperledger Fabric Smart Contracts for Vulnerability Detection
With its unique advantages such as decentralization and immutability, bl...
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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...
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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 ...
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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...
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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...
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03/17/2021
CrowdSim: A Hybrid Simulation Model for Failure Prediction in Crowdsourced Software Development
A typical crowdsourcing software development(CSD) marketplace consists o...
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03/15/2021
Solving Backward Doubly Stochastic Differential Equations through Splitting Schemes
A splitting scheme for backward doubly stochastic differential equations...
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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...
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12/13/2020
Meticulous Object Segmentation
Compared with common image segmentation tasks targeted at low-resolution...
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12/12/2020
Mask Guided Matting via Progressive Refinement Network
We propose Mask Guided (MG) Matting, a robust matting framework that tak...
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11/28/2020
Uncertainty Quantification in Deep Learning through Stochastic Maximum Principle
We develop a probabilistic machine learning method, which formulates a c...
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11/04/2020