Xiaolong Li | DeepAI

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Featured Co-authors

Jun Wang
360 publications
Bin Li
210 publications
Ming Li
199 publications
Li Wang
151 publications
Bin Liu
139 publications
Stefano Soatto
136 publications
Ce Zhang
133 publications
Jun Zhou
122 publications
Yao Zhao
119 publications
Le Song
105 publications
Leonidas Guibas
102 publications

∙ 06/06/2023

Towards Visual Foundational Models of Physical Scenes

We describe a first step towards learning general-purpose visual represe...

0 Chethan Parameshwara, et al. ∙

∙ 10/18/2022

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation

3D point cloud semantic segmentation is one of the fundamental tasks for...

0 Yangheng Zhao, et al. ∙

∙ 07/12/2021

Denoising User-aware Memory Network for Recommendation

For better user satisfaction and business effectiveness, more and more a...

0 Zhi Bian, et al. ∙

∙ 12/17/2020

Interactive Question Clarification in Dialogue via Reinforcement Learning

Coping with ambiguous questions has been a perennial problem in real-wor...

0 Xiang Hu, et al. ∙

∙ 12/14/2020

LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding

The pre-training models such as BERT have achieved great results in vari...

0 Hao Fu, et al. ∙

∙ 04/03/2020

Unpack Local Model Interpretation for GBDT

A gradient boosting decision tree (GBDT), which aggregates a collection ...

0 Wenjing Fang, et al. ∙

∙ 04/01/2020

NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay

Ant Credit Pay is a consumer credit service in Ant Financial Service Gro...

0 Jianbin Lin, et al. ∙

∙ 03/12/2020

Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition

Dialogue act recognition is a fundamental task for an intelligent dialog...

0 Zhigang Dai, et al. ∙

∙ 03/12/2020

Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization

Points of interest (POI) recommendation has been drawn much attention re...

0 Chaochao Chen, et al. ∙

∙ 03/10/2020

RNE: A Scalable Network Embedding for Billion-scale Recommendation

Nowadays designing a real recommendation system has been a critical prob...

0 Jianbin Lin, et al. ∙

∙ 03/02/2020

Long Short-Term Sample Distillation

In the past decade, there has been substantial progress at training incr...

5 Liang Jiang, et al. ∙

∙ 02/27/2020

Heterogeneous Graph Neural Networks for Malicious Account Detection

We present, GEM, the first heterogeneous graph neural network approach f...

0 Ziqi Liu, et al. ∙

∙ 02/27/2020

Uncovering Insurance Fraud Conspiracy with Network Learning

Fraudulent claim detection is one of the greatest challenges the insuran...

9 Chen Liang, et al. ∙

∙ 02/27/2020

How Much Can A Retailer Sell? Sales Forecasting on Tmall

Time-series forecasting is an important task in both academic and indust...

0 Chaochao Chen, et al. ∙

∙ 12/26/2019

Category-Level Articulated Object Pose Estimation

This paper addresses the task of category-level pose estimation for arti...

8 Xiaolong Li, et al. ∙

∙ 12/26/2019

A Time Attention based Fraud Transaction Detection Framework

With online payment platforms being ubiquitous and important, fraud tran...

0 Longfei Li, et al. ∙

∙ 06/18/2019

TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial

With the explosive growth of e-commerce and the booming of e-payment, de...

0 Shaosheng Cao, et al. ∙

∙ 08/29/2018

Review Helpfulness Prediction with Embedding-Gated CNN

Product reviews, in the form of texts dominantly, significantly help con...

0 Cen Chen, et al. ∙

∙ 05/11/2018

Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud

Internet companies are facing the need of handling large scale machine l...

0 Ya-Lin Zhang, et al. ∙

∙ 04/17/2018

Feature Propagation on Graph: A New Perspective to Graph Representation Learning

We study feature propagation on graph, an inference process involved in ...

0 Biao Xiang, et al. ∙

∙ 04/17/2018

A Boosting Framework of Factorization Machine

Recently, Factorization Machines (FM) has become more and more popular f...

0 Longfei Li, et al. ∙

∙ 04/13/2018

Distributed Collaborative Hashing and Its Applications in Ant Financial

Collaborative filtering, especially latent factor model, has been popula...

0 Chaochao Chen, et al. ∙

∙ 02/27/2018

Time-sensitive Customer Churn Prediction based on PU Learning

With the fast development of Internet companies throughout the world, cu...

0 Li Wang, et al. ∙

∙ 02/20/2018

Non-Local Graph-Based Prediction For Reversible Data Hiding In Images

Reversible data hiding (RDH) is desirable in applications where both the...

0 Qi Chang, et al. ∙

∙ 02/03/2018

GeniePath: Graph Neural Networks with Adaptive Receptive Paths

We present, GeniePath, a scalable approach for learning adaptive recepti...

0 Ziqi Liu, et al. ∙

∙ 02/02/2018

Secure Detection of Image Manipulation by means of Random Feature Selection

We address the problem of data-driven image manipulation detection in th...

0 Zhipeng Chen, et al. ∙

∙ 09/12/2017

Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier

Mainly for the sake of solving the lack of keyword-specific data, we pro...

0 Zhiming Wang, et al. ∙

∙ 05/29/2014

JPEG Noises beyond the First Compression Cycle

This paper focuses on the JPEG noises, which include the quantization no...

0 Bin Li, et al. ∙

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