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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...
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09/09/2023
Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations
Counterfactual explanations (CFEs) exemplify how to minimally modify a f...
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08/30/2023
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems
In sequential recommendation, multi-modal information (e.g., text or ima...
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08/19/2023
Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction
Click-Through Rate (CTR) prediction, crucial in applications like recomm...
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08/03/2023
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
With the widespread application of personalized online services, click-t...
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07/11/2023
ATWM: Defense against adversarial malware based on adversarial training
Deep learning technology has made great achievements in the field of ima...
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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...
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02/22/2023
A Survey on User Behavior Modeling in Recommender Systems
User Behavior Modeling (UBM) plays a critical role in user interest lear...
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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...
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01/25/2023
Editing Language Model-based Knowledge Graph Embeddings
Recently decades have witnessed the empirical success of framing Knowled...
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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...
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11/28/2022
Incentive-boosted Federated Crowdsourcing
Crowdsourcing is a favorable computing paradigm for processing computer-...
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11/11/2022
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation
To offer accurate and diverse recommendation services, recent methods us...
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11/03/2022
A Survey on Reinforcement Learning in Aviation Applications
Compared with model-based control and optimization methods, reinforcemen...
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11/03/2022
Adaptive sparse grid discontinuous Galerkin method: review and software implementation
This paper reviews the adaptive sparse grid discontinuous Galerkin (aSG-...
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10/26/2022
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks
Sequential recommendation (SR) plays an important role in personalized r...
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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...
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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)...
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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...
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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)...
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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...
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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...
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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...
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05/09/2022
Improved-Flow Warp Module for Remote Sensing Semantic Segmentation
Remote sensing semantic segmentation aims to assign automatically each p...
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04/26/2022
Cross Pairwise Ranking for Unbiased Item Recommendation
Most recommender systems optimize the model on observed interaction data...
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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...
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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...
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12/09/2021
Extending the WILDS Benchmark for Unsupervised Adaptation
Machine learning systems deployed in the wild are often trained on a sou...
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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, ...
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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...
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06/01/2021
Dual Graph enhanced Embedding Neural Network for CTR Prediction
CTR prediction, which aims to estimate the probability that a user will ...
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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...
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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...
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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...
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05/05/2021
Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance
The separation assurance task will be extremely challenging for air traf...
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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...
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04/21/2021
Deep Learning for Click-Through Rate Estimation
Click-through rate (CTR) estimation plays as a core function module in v...
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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,...
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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...
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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...
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10/25/2020
Commonsense knowledge adversarial dataset that challenges ELECTRA
Commonsense knowledge is critical in human reading comprehension. While ...
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08/25/2020
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
Given the convenience of collecting information through online services,...
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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...
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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...
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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 ...
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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...
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04/25/2020
Inter-sequence Enhanced Framework for Personalized Sequential Recommendation
Modeling the sequential correlation of users' historical interactions is...
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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, ...
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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...
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04/07/2020
