b'Liang Chen'

research

∙ 05/20/2022

MaskGAE: Masked Graph Modeling Meets Graph Autoencoders

We present masked graph autoencoder (MaskGAE), a self-supervised learnin...

Jintang Li, et al. ∙

research

∙ 05/20/2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

Deep graph learning has achieved remarkable progresses in both business ...

Bingzhe Wu, et al. ∙

research

∙ 05/05/2022

Spiking Graph Convolutional Networks

Graph Convolutional Networks (GCNs) achieve an impressive performance du...

Zulun Zhu, et al. ∙

research

∙ 05/03/2022

A Survey of Deep Learning Models for Structural Code Understanding

In recent years, the rise of deep learning and automation requirements i...

Ruoting Wu, et al. ∙

research

∙ 05/02/2022

FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation

Graph contrastive learning (GCL), as a popular approach to graph self-su...

Yuansheng Wang, et al. ∙

research

∙ 04/20/2022

GUARD: Graph Universal Adversarial Defense

Recently, graph convolutional networks (GCNs) have shown to be vulnerabl...

Jintang Li, et al. ∙

research

∙ 04/19/2022

Self-Calibrated Efficient Transformer for Lightweight Super-Resolution

Recently, deep learning has been successfully applied to the single-imag...

Wenbin Zou, et al. ∙

research

∙ 04/19/2022

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs

As Abstract Meaning Representation (AMR) implicitly involves compound se...

Liang Chen, et al. ∙

research

∙ 03/23/2022

Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

Recent studies in deepfake detection have yielded promising results when...

Liang Chen, et al. ∙

research

∙ 03/14/2022

CAR: Class-aware Regularizations for Semantic Segmentation

Recent segmentation methods, such as OCR and CPNet, utilizing "class lev...

Ye Huang, et al. ∙

research

∙ 03/06/2022

Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation

Label smoothing and vocabulary sharing are two widely used techniques in...

Liang Chen, et al. ∙

research

∙ 02/25/2022

Faithful learning with sure data for lung nodule diagnosis

Recent evolution in deep learning has proven its value for CT-based lung...

Hanxiao Zhang, et al. ∙

research

∙ 02/17/2022

Enhanced DeepONet for Modeling Partial Differential Operators Considering Multiple Input Functions

Machine learning, especially deep learning is gaining much attention due...

Lesley Tan, et al. ∙

research

∙ 02/15/2022

Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift

Deep graph learning (DGL) has achieved remarkable progress in both busin...

Bingzhe Wu, et al. ∙

research

∙ 11/18/2021

Perceiving and Modeling Density is All You Need for Image Dehazing

In the real world, the degradation of images taken under haze can be qui...

Tian Ye, et al. ∙

research

∙ 10/15/2021

Hierarchical Curriculum Learning for AMR Parsing

Abstract Meaning Representation (AMR) parsing translates sentences to th...

Peiyi Wang, et al. ∙

research

∙ 10/12/2021

SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring

Image deblurring is a classical computer vision problem that aims to rec...

Wenbin Zou, et al. ∙

research

∙ 09/05/2021

Statistical computation methods for microbiome compositional data network inference

Microbes can affect processes from food production to human health. Such...

Liang Chen, et al. ∙

research

∙ 08/25/2021

Surprisingly Popular Algorithm-based Adaptive Euclidean Distance Topology Learning PSO

The surprisingly popular algorithm (SPA) is a powerful crowd decision mo...

Xuan Wu, et al. ∙

research

∙ 08/16/2021

DGCN: Diversified Recommendation with Graph Convolutional Networks

These years much effort has been devoted to improving the accuracy or re...

Yu Zheng, et al. ∙

research

∙ 08/07/2021

Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation

In object re-identification (ReID), the development of deep learning tec...

Shengsen Wu, et al. ∙

research

∙ 07/27/2021

Physics-Enforced Modeling for Insertion Loss of Transmission Lines by Deep Neural Networks

In this paper, we investigate data-driven parameterized modeling of inse...

Liang Chen, et al. ∙

research

∙ 06/02/2021

DNA-GCN: Graph convolutional networks for predicting DNA-protein binding

Predicting DNA-protein binding is an important and classic problem in bi...

Yuhang Guo, et al. ∙

research

∙ 05/10/2021

AutoDebias: Learning to Debias for Recommendation

Recommender systems rely on user behavior data like ratings and clicks t...

Jiawei Chen, et al. ∙

research

∙ 04/12/2021

Personalized Bundle Recommendation in Online Games

In business domains, bundling is one of the most important marketing str...

Qilin Deng, et al. ∙

research

∙ 04/07/2021

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

In recent years, there are great interests as well as challenges in appl...

Kai Wang, et al. ∙

research

∙ 03/12/2021

Neural Architecture Search based on Cartesian Genetic Programming Coding Method

Neural architecture search (NAS) is a hot topic in the field of automate...

Xuan Wu, et al. ∙

research

∙ 02/22/2021

A High-dimensional Sparse Fourier Transform in the Continuous Setting

In this paper, we theoretically propose a new hashing scheme to establis...

Liang Chen, et al. ∙

research

∙ 02/16/2021

GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software

Graph Neural Networks (GNNs) have recently shown to be powerful tools fo...

Jintang Li, et al. ∙

research

∙ 02/12/2021

Material absorption-based carrier generation model for modeling optoelectronic devices

The generation rate of photocarriers in optoelectronic materials is comm...

Liang Chen, et al. ∙

research

∙ 01/21/2021

Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control

To meet the ever increasing mobile traffic demand in 5G era, base statio...

Qiong Wu, et al. ∙

research

∙ 11/24/2020

Learning to Sample the Most Useful Training Patches from Images

Some image restoration tasks like demosaicing require difficult training...

Shuyang Sun, et al. ∙

research

∙ 11/08/2020

Ensembled CTR Prediction via Knowledge Distillation

Recently, deep learning-based models have been widely studied for click-...

Jieming Zhu, et al. ∙

research

∙ 11/03/2020

GAIN: Graph Attention Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs

Graph Neural Networks (GNNs) have led to state-of-the-art performance on...

Yunpeng Weng, et al. ∙

research

∙ 10/21/2020

Self-supervised Graph Learning for Recommendation

Representation learning on user-item graph for recommendation has evolve...

Jiancan Wu, et al. ∙

research

∙ 09/20/2020

Topology Optimization through Differentiable Finite Element Solver

In this paper, a topology optimization framework utilizing automatic dif...

Liang Chen, et al. ∙

research

∙ 09/15/2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

This paper reviews the AIM 2020 challenge on efficient single image supe...

Kai Zhang, et al. ∙

research

∙ 09/08/2020

Adversarial Attack on Large Scale Graph

Recent studies have shown that graph neural networks are vulnerable agai...

Jintang Li, et al. ∙

research

∙ 08/12/2020

Variance-reduced Language Pretraining via a Mask Proposal Network

Self-supervised learning, a.k.a., pretraining, is important in natural l...

Liang Chen, et al. ∙

research

∙ 07/01/2020

Interactive Path Reasoning on Graph for Conversational Recommendation

Traditional recommendation systems estimate user preference on items fro...

Wenqiang Lei, et al. ∙

research

∙ 06/04/2020

A Memory-efficient Implementation of Perfectly Matched Layer with Smoothly-varying Coefficients in Discontinuous Galerkin Time-Domain Method

Wrapping a computation domain with a perfectly matched layer (PML) is on...

Liang Chen, et al. ∙

research

∙ 05/31/2020

Crossed-Time Delay Neural Network for Speaker Recognition

Time Delay Neural Network (TDNN) is a well-performing structure for DNN-...

Liang Chen, et al. ∙

research

∙ 05/29/2020

An Efficient Discontinuous Galerkin Scheme for Simulating Terahertz Photoconductive Devices with Periodic Nanostructures

Photoconductive devices (PCDs) enhanced with nanostructures have shown a...

Liang Chen, et al. ∙

research

∙ 05/29/2020

A hybridizable discontinuous Galerkin method for simulation of electrostatic problems with floating potential conductors

In an electrostatic simulation, an equipotential condition with an undef...

Liang Chen, et al. ∙

research

∙ 03/23/2020

Modelling High-Order Social Relations for Item Recommendation

The prevalence of online social network makes it compulsory to study how...

Yang Liu, et al. ∙

research

∙ 03/10/2020

A Survey of Adversarial Learning on Graphs

Deep learning models on graphs have achieved remarkable performance in v...

Liang Chen, et al. ∙

research

∙ 03/09/2020

DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network

Online social networks (OSNs) are emerging as the most popular mainstrea...

Qiong Wu, et al. ∙

research

∙ 12/25/2019

A re-formulization of the transfer matrix method for calculating wave-functions in higher dimensional disordered open systems

We present a numerically stable re-formulization of the transfer matrix ...

Liang Chen, et al. ∙

research

∙ 12/08/2019

Multiphysics Simulation of Plasmonic Photoconductive Antennas using Discontinuous Galerkin Methods

Plasmonic nanostructures significantly improve the performance of photoc...

Liang Chen, et al. ∙

research

∙ 12/08/2019

Multiphysics Modeling of Plasmonic Photoconductive Devices using Discontinuous Galerkin Methods

Plasmonic nanostructures can significantly improve the performance of ph...

Liang Chen, et al. ∙

Liang Chen

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