b'Wei Guo'

research

∙ 09/10/2023

A multi-fidelity machine learning based semi-Lagrangian finite volume scheme for linear transport equations and the nonlinear Vlasov-Poisson system

Machine-learning (ML) based discretization has been developed to simulat...

0 Yongsheng Chen, et al. ∙

research

∙ 09/09/2023

Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations

Counterfactual explanations (CFEs) exemplify how to minimally modify a f...

0 Yongjie Wang, et al. ∙

research

∙ 08/30/2023

Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems

In sequential recommendation, multi-modal information (e.g., text or ima...

0 Hengchang Hu, et al. ∙

research

∙ 08/19/2023

Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction

Click-Through Rate (CTR) prediction, crucial in applications like recomm...

0 Hengyu Zhang, et al. ∙

research

∙ 08/03/2023

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction

With the widespread application of personalized online services, click-t...

0 Jianghao Lin, et al. ∙

research

∙ 07/11/2023

ATWM: Defense against adversarial malware based on adversarial training

Deep learning technology has made great achievements in the field of ima...

0 Kun Li, et al. ∙

research

∙ 05/22/2023

FGAM:Fast Adversarial Malware Generation Method Based on Gradient Sign

Malware detection models based on deep learning have been widely used, b...

0 Kun Li, et al. ∙

research

∙ 02/22/2023

A Survey on User Behavior Modeling in Recommender Systems

User Behavior Modeling (UBM) plays a critical role in user interest lear...

0 Zhicheng He, et al. ∙

research

∙ 02/21/2023

A learned conservative semi-Lagrangian finite volume scheme for transport simulations

Semi-Lagrangian (SL) schemes are known as a major numerical tool for sol...

0 Yongsheng Chen, et al. ∙

research

∙ 01/25/2023

Editing Language Model-based Knowledge Graph Embeddings

Recently decades have witnessed the empirical success of framing Knowled...

0 Siyuan Cheng, et al. ∙

research

∙ 01/11/2023

Universal Detection of Backdoor Attacks via Density-based Clustering and Centroids Analysis

In this paper, we propose a Universal Defence based on Clustering and Ce...

0 Wei Guo, et al. ∙

research

∙ 11/28/2022

Incentive-boosted Federated Crowdsourcing

Crowdsourcing is a favorable computing paradigm for processing computer-...

0 Xiangping Kang, et al. ∙

research

∙ 11/11/2022

Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation

To offer accurate and diverse recommendation services, recent methods us...

0 Haolun Wu, et al. ∙

research

∙ 11/03/2022

A Survey on Reinforcement Learning in Aviation Applications

Compared with model-based control and optimization methods, reinforcemen...

3 Pouria Razzaghi, et al. ∙

research

∙ 11/03/2022

Adaptive sparse grid discontinuous Galerkin method: review and software implementation

This paper reviews the adaptive sparse grid discontinuous Galerkin (aSG-...

0 Juntao Huang, et al. ∙

research

∙ 10/26/2022

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks

Sequential recommendation (SR) plays an important role in personalized r...

0 Hengyu Zhang, et al. ∙

research

∙ 10/18/2022

IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System

Scoring a large number of candidates precisely in several milliseconds i...

0 Xiangyang Li, et al. ∙

research

∙ 10/13/2022

A Local Macroscopic Conservative (LoMaC) low rank tensor method with the discontinuous Galerkin method for the Vlasov dynamics

In this paper, we propose a novel Local Macroscopic Conservative (LoMaC)...

0 Wei Guo, et al. ∙

research

∙ 08/03/2022

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation

Multi-types of behaviors (e.g., clicking, adding to cart, purchasing, et...

0 Chang Meng, et al. ∙

research

∙ 07/01/2022

A Local Macroscopic Conservative (LoMaC) low rank tensor method for the Vlasov dynamics

In this paper, we propose a novel Local Macroscopic Conservative (LoMaC)...

0 Wei Guo, et al. ∙

research

∙ 06/02/2022

A temporal chrominance trigger for clean-label backdoor attack against anti-spoof rebroadcast detection

We propose a stealthy clean-label video backdoor attack against Deep Lea...

0 Wei Guo, et al. ∙

research

∙ 05/19/2022

Dynamic Clustering and Power Control for Two-Tier Wireless Federated Learning

Federated learning (FL) has been recognized as a promising distributed l...

0 Wei Guo, et al. ∙

research

∙ 05/19/2022

Joint Device Selection and Power Control for Wireless Federated Learning

This paper studies the joint device selection and power control scheme f...

0 Wei Guo, et al. ∙

research

∙ 05/09/2022

Improved-Flow Warp Module for Remote Sensing Semantic Segmentation

Remote sensing semantic segmentation aims to assign automatically each p...

4 Yinjie Zhang, et al. ∙

research

∙ 04/26/2022

Cross Pairwise Ranking for Unbiased Item Recommendation

Most recommender systems optimize the model on observed interaction data...

0 Qi Wan, et al. ∙

research

∙ 04/02/2022

Rotated Object Detection via Scale-invariant Mahalanobis Distance in Aerial Images

Rotated object detection in aerial images is a meaningful yet challengin...

15 Siyang Wen, et al. ∙

research

∙ 01/25/2022

A conservative low rank tensor method for the Vlasov dynamics

In this paper, we propose a conservative low rank tensor method to appro...

0 Wei Guo, et al. ∙

research

∙ 12/09/2021

Extending the WILDS Benchmark for Unsupervised Adaptation

Machine learning systems deployed in the wild are often trained on a sou...

17 Shiori Sagawa, et al. ∙

research

∙ 11/16/2021

An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences

Together with impressive advances touching every aspect of our society, ...

16 Wei Guo, et al. ∙

research

∙ 06/16/2021

A Low Rank Tensor Representation of Linear Transport and Nonlinear Vlasov Solutions and Their Associated Flow Maps

We propose a low-rank tensor approach to approximate linear transport an...

0 Wei Guo, et al. ∙

research

∙ 06/01/2021

Dual Graph enhanced Embedding Neural Network for CTR Prediction

CTR prediction, which aims to estimate the probability that a user will ...

0 Wei Guo, et al. ∙

research

∙ 05/25/2021

Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution

Early-stage plant density is an essential trait that determines the fate...

23 Kaaviya Velumani, et al. ∙

research

∙ 05/17/2021

Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity

The Global Wheat Head Detection (GWHD) dataset was created in 2020 and h...

6 Etienne David, et al. ∙

research

∙ 05/13/2021

Global Wheat Challenge 2020: Analysis of the competition design and winning models

Data competitions have become a popular approach to crowdsource new data...

28 Etienne David, et al. ∙

research

∙ 05/05/2021

Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance

The separation assurance task will be extremely challenging for air traf...

0 Wei Guo, et al. ∙

research

∙ 05/01/2021

A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification

We introduce a new attack against face verification systems based on Dee...

0 Wei Guo, et al. ∙

research

∙ 04/21/2021

Deep Learning for Click-Through Rate Estimation

Click-through rate (CTR) estimation plays as a core function module in v...

0 Weinan Zhang, et al. ∙

research

∙ 04/17/2021

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table

Because of the superior feature representation ability of deep learning,...

0 Huifeng Guo, et al. ∙

research

∙ 01/09/2021

FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data

Interactive response time is important in analytical pipelines for users...

22 Shuyuan Yan, et al. ∙

research

∙ 12/12/2020

Multi-Scale Cascading Network with Compact Feature Learning for RGB-Infrared Person Re-Identification

RGB-Infrared person re-identification (RGB-IR Re-ID) aims to match perso...

0 Can Zhang, et al. ∙

research

∙ 10/25/2020

Commonsense knowledge adversarial dataset that challenges ELECTRA

Commonsense knowledge is critical in human reading comprehension. While ...

0 Gongqi Lin, et al. ∙

research

∙ 08/25/2020

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems

Given the convenience of collecting information through online services,...

39 Yishi Xu, et al. ∙

research

∙ 07/03/2020

An adaptive multiresolution ultra-weak discontinuous Galerkin method for nonlinear Schrodinger equations

This paper develops a high order adaptive scheme for solving nonlinear S...

0 Zhanjing Tao, et al. ∙

research

∙ 06/18/2020

Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey

In light of growing challenges in agriculture with ever growing food dem...

24 Akshay L Chandra, et al. ∙

research

∙ 06/06/2020

Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases

With the starting point that implicit human biases are reflected in the ...

9 Wei Guo, et al. ∙

research

∙ 05/29/2020

An adaptive sparse grid local discontinuous Galerkin method for Hamilton-Jacobi equations in high dimensions

We are interested in numerically solving the Hamilton-Jacobi (HJ) equati...

0 Wei Guo, et al. ∙

research

∙ 04/25/2020

Inter-sequence Enhanced Framework for Personalized Sequential Recommendation

Modeling the sequential correlation of users' historical interactions is...

0 Feng Liu, et al. ∙

research

∙ 04/18/2020

Pro-Russian Biases in Anti-Chinese Tweets about the Novel Coronavirus

The recent COVID-19 pandemic, which was first detected in Wuhan, China, ...

0 Autumn Toney, et al. ∙

research

∙ 04/18/2020

An adaptive multiresolution interior penalty discontinuous Galerkin method for wave equations in second order form

In this paper, we propose a class of adaptive multiresolution (also call...

0 Juntao Huang, et al. ∙

research

∙ 04/07/2020

5G Radio Access Network Architecture for Terrestrial Broadcast Services

The 3rd Generation Partnership Project (3GPP) has defined based on the L...

0 Mikko Säily, et al. ∙

Wei Guo

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