research
∙
08/31/2023
AntM^2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction
Click-through rate (CTR) prediction is a crucial issue in recommendation...
share
research
∙
07/18/2023
Federated Large Language Model: A Position Paper
Large scale language models (LLM) have received significant attention an...
research
∙
06/19/2023
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
General-purpose foundation models have become increasingly important in ...
research
∙
10/24/2022
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems
Assigning items to owners is a common problem found in various real-worl...
research
∙
06/23/2022
Agriculture-Vision Challenge 2022 – The Runner-Up Solution for Agricultural Pattern Recognition via Transformer-based Models
The Agriculture-Vision Challenge in CVPR is one of the most famous and c...
research
∙
05/28/2022
BadDet: Backdoor Attacks on Object Detection
Deep learning models have been deployed in numerous real-world applicati...
research
∙
12/28/2021
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
In federated learning (FL) problems, client sampling plays a key role in...
research
∙
11/22/2021
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records
There is a continuously growing demand for emergency department (ED) ser...
research
∙
09/07/2021
PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System
Optical Character Recognition (OCR) systems have been widely used in var...
research
∙
09/21/2020
PP-OCR: A Practical Ultra Lightweight OCR System
The Optical Character Recognition (OCR) systems have been widely used in...
research
∙
09/02/2020
Heterogeneous Graph Neural Network for Recommendation
The prosperous development of e-commerce has spawned diverse recommendat...
research
∙
03/05/2020
Practical Privacy Preserving POI Recommendation
Point-of-Interest (POI) recommendation has been extensively studied and ...
research
∙
12/26/2019
A Time Attention based Fraud Transaction Detection Framework
With online payment platforms being ubiquitous and important, fraud tran...
research
∙
04/17/2018
