b'Jun Zhou'

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...

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...

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...

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...

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...

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 ...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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) ...

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...

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...

Runzhong Wang, et al. ∙

research

∙ 04/21/2021

Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting

With the burst development of neural networks in recent years, the task ...

Jun Zhou, et al. ∙

research

∙ 03/30/2021

Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching

This paper presents an effective normal estimation method adopting multi...

Jun Zhou, et al. ∙

research

∙ 03/02/2021

Cross-Domain Recommendation: Challenges, Progress, and Prospects

To address the long-standing data sparsity problem in recommender system...

Feng Zhu, et al. ∙

research

∙ 12/18/2020

STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting

Crowd counting remains a challenging task because the presence of drasti...

Mingjie Wang, et al. ∙

research

∙ 12/17/2020

Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design

Deep Neural Networks (DNNs) have achieved remarkable progress in various...

Chaochao Chen, et al. ∙

research

∙ 12/13/2020

Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction

In the Click-Through Rate (CTR) prediction scenario, user's sequential b...

Kai Zhang, et al. ∙

research

∙ 12/03/2020

SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising

Deep learning (DL) based hyperspectral images (HSIs) denoising approache...

Fengchao Xiong, et al. ∙

research

∙ 11/18/2020

ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission

SMART NoC, which transmits unconflicted flits to distant processing elem...

Hui Chen, et al. ∙

research

∙ 11/06/2020

ASFGNN: Automated Separated-Federated Graph Neural Network

Graph Neural Networks (GNNs) have achieved remarkable performance by tak...

Longfei Zheng, et al. ∙

research

∙ 11/04/2020

Multi-layer Feature Aggregation for Deep Scene Parsing Models

Scene parsing from images is a fundamental yet challenging problem in vi...

Litao Yu, et al. ∙

research

∙ 11/03/2020

Parameter Efficient Deep Neural Networks with Bilinear Projections

Recent research on deep neural networks (DNNs) has primarily focused on ...

Litao Yu, et al. ∙

research

∙ 09/22/2020

Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss

Person Re-IDentification (ReID) aims at re-identifying persons from diff...

Cheng Yan, et al. ∙

research

∙ 09/21/2020

PP-OCR: A Practical Ultra Lightweight OCR System

The Optical Character Recognition (OCR) systems have been widely used in...

Yuning Du, et al. ∙

research

∙ 09/16/2020

Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning

Zero-shot learning (ZSL) aims to recognize novel classes by transferring...

Yang Liu, et al. ∙

research

∙ 09/15/2020

3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation

In this paper, we focus on estimating the 6D pose of objects in point cl...

Yuanpeng Liu, et al. ∙

research

∙ 09/04/2020

A Comprehensive Analysis of Information Leakage in Deep Transfer Learning

Transfer learning is widely used for transferring knowledge from a sourc...

Cen Chen, et al. ∙

research

∙ 09/02/2020

Self-supervised Smoothing Graph Neural Networks

This paper studies learning node representations with GNNs for unsupervi...

Lu Yu, et al. ∙

research

∙ 09/02/2020

Heterogeneous Graph Neural Network for Recommendation

The prosperous development of e-commerce has spawned diverse recommendat...

Jinghan Shi, et al. ∙

research

∙ 06/10/2020

Bandit Samplers for Training Graph Neural Networks

Several sampling algorithms with variance reduction have been proposed f...

Ziqi Liu, et al. ∙

research

∙ 05/25/2020

Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting

Crowd counting is an important vision task, which faces challenges on co...

Mingjie Wang, et al. ∙

research

∙ 05/25/2020

Privacy-Preserving Graph Neural Network for Node Classification

Recently, Graph Neural Network (GNN) has achieved remarkable progresses ...

Jun Zhou, et al. ∙

research

∙ 04/03/2020

Unpack Local Model Interpretation for GBDT

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

Wenjing Fang, et al. ∙

research

∙ 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...

Jianbin Lin, et al. ∙

research

∙ 03/12/2020

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

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

Chaochao Chen, et al. ∙

research

∙ 03/10/2020

RNE: A Scalable Network Embedding for Billion-scale Recommendation

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

Jianbin Lin, et al. ∙

research

∙ 03/10/2020

Generating Natural Language Adversarial Examples on a Large Scale with Generative Models

Today text classification models have been widely used. However, these c...

Yankun Ren, et al. ∙

research

∙ 03/05/2020

Practical Privacy Preserving POI Recommendation

Point-of-Interest (POI) recommendation has been extensively studied and ...

Chaochao Chen, et al. ∙

research

∙ 03/05/2020

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance

The insurance industry has been creating innovative products around the ...

Cen Chen, et al. ∙

Jun Zhou

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