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08/09/2023
Unified Matrix Factorization with Dynamic Multi-view Clustering
Matrix factorization (MF) is a classical collaborative filtering algorit...
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07/27/2023
Contrastive Knowledge Amalgamation for Unsupervised Image Classification
Knowledge amalgamation (KA) aims to learn a compact student model to han...
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07/06/2023
Theoretical Bounds for the Size of Elementary Trapping Sets by Graphic Methods
Elementary trapping sets (ETSs) are the main culprits for the performanc...
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06/28/2023
S2SNet: A Pretrained Neural Network for Superconductivity Discovery
Superconductivity allows electrical current to flow without any energy l...
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06/11/2023
E(2)-Equivariant Vision Transformer
Vision Transformer (ViT) has achieved remarkable performance in computer...
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06/29/2022
Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning
Case-based Reasoning (CBR) on high-dimensional and heterogeneous data is...
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06/27/2022
BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT
Developers use shell commands for many tasks, such as file system manage...
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02/20/2022
SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow
On Stack Overflow, developers can not only browse question posts to solv...
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10/20/2021
Learning Universal User Representations via Self-Supervised Lifelong Behaviors Modeling
Universal user representation is an important research topic in industry...
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08/14/2021
Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
In industry, there exist plenty of scenarios where old gray photos need ...
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08/09/2021
ChemiRise: a data-driven retrosynthesis engine
We have developed an end-to-end, retrosynthesis system, named ChemiRise,...
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07/28/2021
Mechanical Cloak via Data-Driven Aperiodic Metamaterial Design
Mechanical cloaks are materials engineered to manipulate the elastic res...
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07/08/2021
ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation
Developers often write low-quality code comments due to the lack of prog...
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04/20/2021
Semantic Segmentation by Improved Generative Adversarial Networks
While most existing segmentation methods usually combined the powerful f...
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03/06/2021
Molecular modeling with machine-learned universal potential functions
Molecular modeling is an important topic in drug discovery. Decades of r...
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02/12/2021
DeepPseudo: Deep Pseudo-code Generation via Transformer and Code Feature Extraction
Pseudo-code written by natural language is helpful for novice developers...
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02/01/2021
Machine-Learned Phase Diagrams of Generalized Kitaev Honeycomb Magnets
We use a recently developed interpretable and unsupervised machine-learn...
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10/24/2020
Electromagnetic Source Imaging via a Data-Synthesis-Based Denoising Autoencoder
Electromagnetic source imaging (ESI) is a highly ill-posed inverse probl...
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10/04/2020
Heterogeneous Graph Collaborative Filtering using Textual Information
Due to the development of graph neural network models, like graph convol...
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04/29/2020
Revealing the Phase Diagram of Kitaev Materials by Machine Learning: Cooperation and Competition between Spin Liquids
Kitaev materials are promising materials for hosting quantum spin liquid...
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01/21/2020
How Fast You Can Actually Fly: A Comparative Investigation of Flight Airborne Time in China and the U.S
Actual airborne time (AAT) is the time between wheels-off and wheels-on ...
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08/16/2019
Exploring Properties of Icosoku by Constraint Satisfaction Approach
Icosoku is a challenging and interesting puzzle that exhibits highly sym...
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08/16/2019
The Regularization of Small Sub-Constraint Satisfaction Problems
This paper describes a new approach on optimization of constraint satisf...
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01/07/2019
ATP: a Datacenter Approximate Transmission Protocol
Many datacenter applications such as machine learning and streaming syst...
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03/16/2018
Chemi-net: a graph convolutional network for accurate drug property prediction
Absorption, distribution, metabolism, and excretion (ADME) studies are c...
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01/08/2018
Optimizing TCP Loss Recovery Performance Over Mobile Data Networks
Recent advances in high-speed mobile networks have revealed new bottlene...
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01/06/2018
Optimized Preference-Aware Multi-path Video Streaming with Scalable Video Coding
Most client hosts are equipped with multiple network interfaces (e.g., W...
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07/26/2017
Prediction of amino acid side chain conformation using a deep neural network
A deep neural network based architecture was constructed to predict amin...
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12/06/2016
Porous Structure Design in Tissue Engineering Using Anisotropic Radial Basis Function
Development of additive manufacturing in last decade greatly improves ti...
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06/27/2014