Ke Liu | DeepAI

DeepAI AI Chat

Featured Co-authors

Wei Chen
302 publications
Qi Zhang
223 publications
Wei Wu
163 publications
Liwei Wang
144 publications
Ji Liu
130 publications
Xiang Chen
128 publications
Vaneet Aggarwal
112 publications
Guang Yang
111 publications
Hong Liu
105 publications
Xin Jin
99 publications
Jun Ma
83 publications

∙ 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...

0 Qi Zhang, et al. ∙

∙ 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...

0 Chi Yu, et al. ∙

∙ 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...

0 Ke Liu, et al. ∙

∙ 10/20/2021

Learning Universal User Representations via Self-Supervised Lifelong Behaviors Modeling

Universal user representation is an important research topic in industry...

0 Bei Yang, et al. ∙

∙ 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 ...

7 Xin Jin, et al. ∙

∙ 08/09/2021

ChemiRise: a data-driven retrosynthesis engine

We have developed an end-to-end, retrosynthesis system, named ChemiRise,...

0 Xiangyan Sun, et al. ∙

∙ 07/28/2021

Mechanical Cloak via Data-Driven Aperiodic Metamaterial Design

Mechanical cloaks are materials engineered to manipulate the elastic res...

0 Liwei Wang, et al. ∙

∙ 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...

0 Guang Yang, et al. ∙

∙ 04/20/2021

Semantic Segmentation by Improved Generative Adversarial Networks

While most existing segmentation methods usually combined the powerful f...

0 ZengShun Zhaoa, et al. ∙

∙ 03/06/2021

Molecular modeling with machine-learned universal potential functions

Molecular modeling is an important topic in drug discovery. Decades of r...

0 Ke Liu, et al. ∙

∙ 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...

0 Guang Yang, et al. ∙

∙ 02/01/2021

Machine-Learned Phase Diagrams of Generalized Kitaev Honeycomb Magnets

We use a recently developed interpretable and unsupervised machine-learn...

6 Nihal Rao, et al. ∙

∙ 10/24/2020

Electromagnetic Source Imaging via a Data-Synthesis-Based Denoising Autoencoder

Electromagnetic source imaging (ESI) is a highly ill-posed inverse probl...

8 Gexin Huang, et al. ∙

∙ 10/04/2020

Heterogeneous Graph Collaborative Filtering using Textual Information

Due to the development of graph neural network models, like graph convol...

0 Chaoyang Wang, et al. ∙

∙ 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...

0 Ke Liu, et al. ∙

∙ 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 ...

0 Ke Liu, et al. ∙

∙ 08/16/2019

Exploring Properties of Icosoku by Constraint Satisfaction Approach

Icosoku is a challenging and interesting puzzle that exhibits highly sym...

0 Ke Liu, et al. ∙

∙ 08/16/2019

The Regularization of Small Sub-Constraint Satisfaction Problems

This paper describes a new approach on optimization of constraint satisf...

0 Sven Löffler, et al. ∙

∙ 01/07/2019

ATP: a Datacenter Approximate Transmission Protocol

Many datacenter applications such as machine learning and streaming syst...

0 Ke Liu, et al. ∙

∙ 03/16/2018

Chemi-net: a graph convolutional network for accurate drug property prediction

Absorption, distribution, metabolism, and excretion (ADME) studies are c...

0 Ke Liu, et al. ∙

∙ 01/08/2018

Optimizing TCP Loss Recovery Performance Over Mobile Data Networks

Recent advances in high-speed mobile networks have revealed new bottlene...

0 Ke Liu, et al. ∙

∙ 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...

0 Anis Elgabli, et al. ∙

∙ 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...

0 Ke Liu, et al. ∙

∙ 12/06/2016

Porous Structure Design in Tissue Engineering Using Anisotropic Radial Basis Function

Development of additive manufacturing in last decade greatly improves ti...

0 Ke Liu, et al. ∙

∙ 06/27/2014

Adaptive Mesh Representation and Restoration of Biomedical Images

The triangulation of images has become an active research area in recent...

0 Ke Liu, et al. ∙