b'Liang Chen'

Personalized Bundle Recommendation in Online Games

In business domains, bundling is one of the most important marketing str...
04/12/2021 ∙ by Qilin Deng, et al. ∙ 0 ∙ share

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Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

In recent years, there are great interests as well as challenges in appl...
04/07/2021 ∙ by Kai Wang, et al. ∙ 0 ∙ share

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Neural Architecture Search based on Cartesian Genetic Programming Coding Method

Neural architecture search (NAS) is a hot topic in the field of AutoML, ...
03/12/2021 ∙ by Xuan Wu, et al. ∙ 0 ∙ share

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A High-dimensional Sparse Fourier Transform in the Continuous Setting

In this paper, we theoretically propose a new hashing scheme to establis...
02/22/2021 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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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...
02/16/2021 ∙ by Jintang Li, et al. ∙ 0 ∙ share

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Material absorption-based carrier generation model for modeling optoelectronic devices

The generation rate of photocarriers in optoelectronic materials is comm...
02/12/2021 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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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...
01/21/2021 ∙ by Qiong Wu, et al. ∙ 11 ∙ share

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Learning to Sample the Most Useful Training Patches from Images

Some image restoration tasks like demosaicing require difficult training...
11/24/2020 ∙ by Shuyang Sun, et al. ∙ 0 ∙ share

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Ensembled CTR Prediction via Knowledge Distillation

Recently, deep learning-based models have been widely studied for click-...
11/08/2020 ∙ by Jieming Zhu, et al. ∙ 0 ∙ share

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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...
11/03/2020 ∙ by Yunpeng Weng, et al. ∙ 0 ∙ share

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Self-supervised Graph Learning for Recommendation

Representation learning on user-item graph for recommendation has evolve...
10/21/2020 ∙ by Jiancan Wu, et al. ∙ 0 ∙ share

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Topology Optimization through Differentiable Finite Element Solver

In this paper, a topology optimization framework utilizing automatic dif...
09/20/2020 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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

This paper reviews the AIM 2020 challenge on efficient single image supe...
09/15/2020 ∙ by Kai Zhang, et al. ∙ 6 ∙ share

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Adversarial Attack on Large Scale Graph

Recent studies have shown that graph neural networks are vulnerable agai...
09/08/2020 ∙ by Jintang Li, et al. ∙ 9 ∙ share

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Variance-reduced Language Pretraining via a Mask Proposal Network

Self-supervised learning, a.k.a., pretraining, is important in natural l...
08/12/2020 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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Interactive Path Reasoning on Graph for Conversational Recommendation

Traditional recommendation systems estimate user preference on items fro...
07/01/2020 ∙ by Wenqiang Lei, et al. ∙ 0 ∙ share

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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...
06/04/2020 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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Crossed-Time Delay Neural Network for Speaker Recognition

Time Delay Neural Network (TDNN) is a well-performing structure for DNN-...
05/31/2020 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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

Photoconductive devices (PCDs) enhanced with nanostructures have shown a...
05/29/2020 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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

In an electrostatic simulation, an equipotential condition with an undef...
05/29/2020 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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Modelling High-Order Social Relations for Item Recommendation

The prevalence of online social network makes it compulsory to study how...
03/23/2020 ∙ by Yang Liu, et al. ∙ 0 ∙ share

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A Survey of Adversarial Learning on Graphs

Deep learning models on graphs have achieved remarkable performance in v...
03/10/2020 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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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...
03/09/2020 ∙ by Qiong Wu, et al. ∙ 0 ∙ share

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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 ...
12/25/2019 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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Multiphysics Simulation of Plasmonic Photoconductive Antennas using Discontinuous Galerkin Methods

Plasmonic nanostructures significantly improve the performance of photoc...
12/08/2019 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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Multiphysics Modeling of Plasmonic Photoconductive Devices using Discontinuous Galerkin Methods

Plasmonic nanostructures can significantly improve the performance of ph...
12/08/2019 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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Data Poisoning Attacks on Neighborhood-based Recommender Systems

Nowadays, collaborative filtering recommender systems have been widely d...
12/01/2019 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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The Intrinsic Properties of Brain Based on the Network Structure

Objective: Brain is a fantastic organ that helps creature adapting to th...
11/02/2019 ∙ by Xiang Zou, et al. ∙ 10 ∙ share

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Selecting Reliable Blockchain Peers via Hybrid Blockchain Reliability Prediction

Blockchain and blockchain-based decentralized applications are attractin...
10/31/2019 ∙ by Peilin Zheng, et al. ∙ 0 ∙ share

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Steady-state Simulation of Semiconductor Devices using Discontinuous Galerkin Methods

Design of modern nanostructured semiconductor devices often calls for si...
10/14/2019 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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Intelligent image synthesis to attack a segmentation CNN using adversarial learning

Deep learning approaches based on convolutional neural networks (CNNs) h...
09/24/2019 ∙ by Liang Chen, et al. ∙ 15 ∙ share

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A New CGAN Technique for Constrained Topology Design Optimization

This paper presents a new conditional GAN (named convex relaxing CGAN or...
01/22/2019 ∙ by M. H. Herman Shen, et al. ∙ 24 ∙ share

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GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks

One of the biggest issues facing the use of machine learning in medical ...
10/25/2018 ∙ by Christopher Bowles, et al. ∙ 4 ∙ share

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Attention-Gated Networks for Improving Ultrasound Scan Plane Detection

In this work, we apply an attention-gated network to real-time automated...
04/15/2018 ∙ by Jo Schlemper, et al. ∙ 0 ∙ share

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A Broad Learning Approach for Context-Aware Mobile Application Recommendation

With the rapid development of mobile apps, the availability of a large n...
09/11/2017 ∙ by Tingting Liang, et al. ∙ 0 ∙ share

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Object Recognition Based on Amounts of Unlabeled Data

This paper proposes a novel semi-supervised method on object recognition...
03/25/2016 ∙ by Fuqiang Liu, et al. ∙ 0 ∙ share

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Feature-Area Optimization: A Novel SAR Image Registration Method

This letter proposes a synthetic aperture radar (SAR) image registration...
02/18/2016 ∙ by Fuqiang Liu, et al. ∙ 0 ∙ share

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Boost Picking: A Universal Method on Converting Supervised Classification to Semi-supervised Classification

This paper proposes a universal method, Boost Picking, to train supervis...
02/18/2016 ∙ by Fuqiang Liu, et al. ∙ 0 ∙ share

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Robustness of Regional Matching Scheme over Global Matching Scheme

The paper has established and verified the theory prevailing widely amon...
05/03/2000 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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Liang Chen

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