b'Jun Zhou'

research

∙ 09/20/2023

Long-tail Augmented Graph Contrastive Learning for Recommendation

Graph Convolutional Networks (GCNs) has demonstrated promising results f...

0 Qian Zhao, et al. ∙

research

∙ 09/06/2023

Enhancing Event Sequence Modeling with Contrastive Relational Inference

Neural temporal point processes(TPPs) have shown promise for modeling co...

0 Yan Wang, et al. ∙

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...

0 ZhaoXin Huan, et al. ∙

research

∙ 08/21/2023

Enhancing Recommender Systems with Large Language Model Reasoning Graphs

Recommendation systems aim to provide users with relevant suggestions, b...

0 Yan Wang, et al. ∙

research

∙ 08/17/2023

Fine-grained Text and Image Guided Point Cloud Completion with CLIP Model

This paper focuses on the recently popular task of point cloud completio...

0 Wei Song, et al. ∙

research

∙ 08/10/2023

Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation

One critical challenge in 6D object pose estimation from a single RGBD i...

0 Jun Zhou, et al. ∙

research

∙ 07/29/2023

Continual Learning in Predictive Autoscaling

Predictive Autoscaling is used to forecast the workloads of servers and ...

0 Hongyan Hao, et al. ∙

research

∙ 07/18/2023

Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis

This paper presents ER-NeRF, a novel conditional Neural Radiance Fields ...

0 Jiahe Li, et al. ∙

research

∙ 07/18/2023

Federated Large Language Model: A Position Paper

Large scale language models (LLM) have received significant attention an...

0 Chaochao Chen, et al. ∙

research

∙ 06/20/2023

Deep Double Self-Expressive Subspace Clustering

Deep subspace clustering based on auto-encoder has received wide attenti...

0 Ling Zhao, et al. ∙

research

∙ 06/19/2023

RemoteCLIP: A Vision Language Foundation Model for Remote Sensing

General-purpose foundation models have become increasingly important in ...

0 Fan Liu, et al. ∙

research

∙ 05/19/2023

ALT: An Automatic System for Long Tail Scenario Modeling

In this paper, we consider the problem of long tail scenario modeling wi...

0 Ya-Lin Zhang, et al. ∙

research

∙ 04/30/2023

Few-shot Classification via Ensemble Learning with Multi-Order Statistics

Transfer learning has been widely adopted for few-shot classification. R...

0 Sai Yang, et al. ∙

research

∙ 04/25/2023

COUPA: An Industrial Recommender System for Online to Offline Service Platforms

Aiming at helping users locally discovery retail services (e.g., enterta...

0 Sicong Xie, et al. ∙

research

∙ 04/25/2023

GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning

Recently, the growth of service platforms brings great convenience to bo...

0 Weifan Wang, et al. ∙

research

∙ 03/27/2023

Towards Open Temporal Graph Neural Networks

Graph neural networks (GNNs) for temporal graphs have recently attracted...

0 Kaituo Feng, et al. ∙

research

∙ 02/16/2023

Spectral 3D Computer Vision – A Review

Spectral 3D computer vision examines both the geometric and spectral pro...

0 Yajie Sun, et al. ∙

research

∙ 02/13/2023

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation

In recommendation scenarios, there are two long-standing challenges, i.e...

0 Feng Zhu, et al. ∙

research

∙ 02/10/2023

GCNet: Probing Self-Similarity Learning for Generalized Counting Network

The class-agnostic counting (CAC) problem has caught increasing attentio...

0 Mingjie Wang, et al. ∙

research

∙ 11/01/2022

Robust Direct Learning for Causal Data Fusion

In the era of big data, the explosive growth of multi-source heterogeneo...

0 Xinyu Li, et al. ∙

research

∙ 10/27/2022

Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks

Spiking neural networks (SNNs) are well suited for resource-constrained ...

0 Zhanglu Yan, et al. ∙

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...

0 Jun Zhou, et al. ∙

research

∙ 10/11/2022

PP-StructureV2: A Stronger Document Analysis System

A large amount of document data exists in unstructured form such as raw ...

9 Chenxia Li, et al. ∙

research

∙ 08/18/2022

GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search

Current Graph Neural Networks (GNNs) suffer from the over-smoothing prob...

0 Xinshun Feng, et al. ∙

research

∙ 08/17/2022

Ask Question First for Enhancing Lifelong Language Learning

Lifelong language learning aims to stream learning NLP tasks while retai...

0 Han Wang, et al. ∙

research

∙ 08/17/2022

SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation

6D pose estimation of rigid objects from RGB-D images is crucial for obj...

31 Haoran Pan, et al. ∙

research

∙ 08/17/2022

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach

Graph anomaly detection on attributed networks has become a prevalent re...

0 Shujie Yang, et al. ∙

research

∙ 07/27/2022

Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce

E-commerce has gone a long way in empowering merchants through the inter...

0 Borui Ye, et al. ∙

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...

6 Zhicheng Yang, et al. ∙

research

∙ 05/28/2022

BadDet: Backdoor Attacks on Object Detection

Deep learning models have been deployed in numerous real-world applicati...

0 Shih-Han Chan, et al. ∙

research

∙ 05/22/2022

RVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language Learning

Lifelong Language Learning (LLL) aims to train a neural network to learn...

0 Han Wang, et al. ∙

research

∙ 05/17/2022

KGNN: Distributed Framework for Graph Neural Knowledge Representation

Knowledge representation learning has been commonly adopted to incorpora...

0 Binbin Hu, et al. ∙

research

∙ 04/07/2022

Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings

One intriguing property of adversarial attacks is their "transferability...

0 Yuhao Mao, et al. ∙

research

∙ 03/15/2022

CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP

Existing state-of-the-art crowd counting algorithms rely excessively on ...

0 Mingjie Wang, et al. ∙

research

∙ 03/03/2022

Neural Graph Matching for Pre-training Graph Neural Networks

Recently, graph neural networks (GNNs) have been shown powerful capacity...

0 Yupeng Hou, et al. ∙

research

∙ 03/01/2022

An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022

Temporal link prediction, as one of the most crucial work in temporal gr...

0 Qian Zhao, et al. ∙

research

∙ 01/27/2022

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift

Graph Convolutional Networks (GCNs) have recently attracted vast interes...

0 Hongrui Liu, et al. ∙

research

∙ 01/21/2022

Robust Unsupervised Graph Representation Learning via Mutual Information Maximization

Recent studies have shown that GNNs are vulnerable to adversarial attack...

11 Jihong Wang, et al. ∙

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...

0 Boxin Zhao, et al. ∙

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...

13 Feng Xie, et al. ∙

research

∙ 11/03/2021

Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation

Knowledge graph is generally incorporated into recommender systems to im...

0 Ke Tu, et al. ∙

research

∙ 10/27/2021

MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

Time series forecasting is widely used in business intelligence, e.g., f...

0 Zhibo Zhu, et al. ∙

research

∙ 10/26/2021

Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable

Multi-hop QA requires the machine to answer complex questions through fi...

0 Ruiliu Fu, et al. ∙

research

∙ 10/22/2021

PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method

Graph convolutional networks (GCNs) have been widely adopted for graph r...

0 Binchi Zhang, et al. ∙

research

∙ 10/17/2021

Reminding the Incremental Language Model via Data-Free Self-Distillation

Incremental language learning with pseudo-data can alleviate catastrophi...

0 Han Wang, et al. ∙

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...

70 Yuning Du, et al. ∙

research

∙ 08/18/2021

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation

Recent studies in recommender systems have managed to achieve significan...

11 Kai Zhang, et al. ∙

research

∙ 08/18/2021

A Unified Framework for Cross-Domain and Cross-System Recommendations

Cross-Domain Recommendation (CDR) and Cross-System Recommendation (CSR) ...

0 Feng Zhu, et al. ∙

research

∙ 06/29/2021

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

Face recognition is greatly improved by deep convolutional neural networ...

5 Zihao Xiao, et al. ∙

research

∙ 06/09/2021

A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs

Combinatorial Optimization (CO) has been a long-standing challenging res...

0 Runzhong Wang, et al. ∙

Jun Zhou

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