b'Yu Rong'

research

∙ 06/21/2023

Structure-Aware DropEdge Towards Deep Graph Convolutional Networks

It has been discovered that Graph Convolutional Networks (GCNs) encounte...

0 Jiaqi Han, et al. ∙

research

∙ 06/18/2023

Vision Guided MIMO Radar Beamforming for Enhanced Vital Signs Detection in Crowds

Radar as a remote sensing technology has been used to analyze human acti...

0 Shuaifeng Jiang, et al. ∙

research

∙ 03/04/2023

Decision Support System for Chronic Diseases Based on Drug-Drug Interactions

Many patients with chronic diseases resort to multiple medications to re...

0 Tian Bian, et al. ∙

research

∙ 10/20/2022

Vertical Federated Linear Contextual Bandits

In this paper, we investigate a novel problem of building contextual ban...

0 Zeyu Cao, et al. ∙

research

∙ 06/23/2022

Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training

Graph instance contrastive learning has been proved as an effective task...

0 Xueyi Liu, et al. ∙

research

∙ 06/11/2022

Semi-Supervised Hierarchical Graph Classification

Node classification and graph classification are two graph learning prob...

0 Jia Li, et al. ∙

research

∙ 05/25/2022

Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis

The ability to synthesize long-term human motion sequences in real-world...

13 Jingbo Wang, et al. ∙

research

∙ 05/20/2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

Deep graph learning has achieved remarkable progresses in both business ...

0 Bingzhe Wu, et al. ∙

research

∙ 03/31/2022

Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs

As a powerful tool for modeling complex relationships, hypergraphs are g...

0 Jiying Zhang, et al. ∙

research

∙ 03/20/2022

Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport

Recently, the pretrain-finetuning paradigm has attracted tons of attenti...

0 Jiying Zhang, et al. ∙

research

∙ 03/15/2022

Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation

After the great success of Vision Transformer variants (ViTs) in compute...

0 Runfa Chen, et al. ∙

research

∙ 03/12/2022

Equivariant Graph Mechanics Networks with Constraints

Learning to reason about relations and dynamics over multiple interactin...

0 Wenbing Huang, et al. ∙

research

∙ 02/22/2022

Equivariant Graph Hierarchy-Based Neural Networks

Equivariant Graph neural Networks (EGNs) are powerful in characterizing ...

0 Jiaqi Han, et al. ∙

research

∙ 02/17/2022

Transformer for Graphs: An Overview from Architecture Perspective

Recently, Transformer model, which has achieved great success in many ar...

0 Erxue Min, et al. ∙

research

∙ 02/15/2022

Geometrically Equivariant Graph Neural Networks: A Survey

Many scientific problems require to process data in the form of geometri...

0 Jiaqi Han, et al. ∙

research

∙ 01/25/2022

Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction

Click-Through Rate (CTR) prediction, is an essential component of online...

0 Erxue Min, et al. ∙

research

∙ 01/24/2022

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery – A Focus on Affinity Prediction Problems with Noise Annotations

AI-aided drug discovery (AIDD) is gaining increasing popularity due to i...

1 Yuanfeng Ji, et al. ∙

research

∙ 12/01/2021

Graph Convolutional Module for Temporal Action Localization in Videos

Temporal action localization has long been researched in computer vision...

0 Runhao Zeng, et al. ∙

research

∙ 11/01/2021

Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements

3D interacting hand reconstruction is essential to facilitate human-mach...

0 Yu Rong, et al. ∙

research

∙ 10/17/2021

VoteHMR: Occlusion-Aware Voting Network for Robust 3D Human Mesh Recovery from Partial Point Clouds

3D human mesh recovery from point clouds is essential for various tasks,...

0 Guanze Liu, et al. ∙

research

∙ 09/08/2021

Local Augmentation for Graph Neural Networks

Data augmentation has been widely used in image data and linguistic data...

1 Songtao Liu, et al. ∙

research

∙ 08/13/2021

FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration

Most existing monocular 3D pose estimation approaches only focus on a si...

19 Yu Rong, et al. ∙

research

∙ 06/17/2021

Frustratingly Easy Transferability Estimation

Transferability estimation has been an essential tool in selecting a pre...

3 Long-Kai Huang, et al. ∙

research

∙ 06/14/2021

PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels

Semi-supervised node classification, as a fundamental problem in graph l...

0 Xuefeng Du, et al. ∙

research

∙ 06/11/2021

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising

In online advertising, auto-bidding has become an essential tool for adv...

0 Chao Wen, et al. ∙

research

∙ 06/07/2021

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising

In e-commerce advertising, it is crucial to jointly consider various per...

0 Xiangyu Liu, et al. ∙

research

∙ 06/05/2021

Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations

Valuation problems, such as attribution-based feature interpretation, da...

0 Yatao Bian, et al. ∙

research

∙ 05/26/2021

Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge

With the success of the graph embedding model in both academic and indus...

0 Heng Chang, et al. ∙

research

∙ 05/23/2021

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation

Recent studies imply that deep neural networks are vulnerable to adversa...

0 Jinyu Yang, et al. ∙

research

∙ 04/14/2021

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Graph Neural Network (GNN) research is rapidly growing thanks to the cap...

54 Chaoyang He, et al. ∙

research

∙ 04/08/2021

QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search

Recently, attributed community search, a related but different problem t...

4 Yuli Jiang, et al. ∙

research

∙ 03/20/2021

Recognizing Predictive Substructures with Subgraph Information Bottleneck

The emergence of Graph Convolutional Network (GCN) has greatly boosted t...

0 Junchi Yu, et al. ∙

research

∙ 03/17/2021

Diversified Multiscale Graph Learning with Graph Self-Correction

Though the multiscale graph learning techniques have enabled advanced fe...

0 Yuzhao Chen, et al. ∙

research

∙ 02/03/2021

Learning Diverse-Structured Networks for Adversarial Robustness

In adversarial training (AT), the main focus has been the objective and ...

1 Xuefeng Du, et al. ∙

research

∙ 01/22/2021

Towards Expectation-Maximization by SQL in RDBMS

Integrating machine learning techniques into RDBMSs is an important task...

0 Kangfei Zhao, et al. ∙

research

∙ 12/29/2020

Chasing the Tail in Monocular 3D Human Reconstruction with Prototype Memory

Deep neural networks have achieved great progress in single-image 3D hum...

2 Yu Rong, et al. ∙

research

∙ 12/16/2020

Hierarchical Graph Capsule Network

Graph Neural Networks (GNNs) draw their strength from explicitly modelin...

0 Jinyu Yang, et al. ∙

research

∙ 11/10/2020

Deep Multimodal Fusion by Channel Exchanging

Deep multimodal fusion by using multiple sources of data for classificat...

8 Yikai Wang, et al. ∙

research

∙ 11/04/2020

On Self-Distilling Graph Neural Network

Recently, the teacher-student knowledge distillation framework has demon...

0 Yuzhao Chen, et al. ∙

research

∙ 10/12/2020

Graph Information Bottleneck for Subgraph Recognition

Given the input graph and its label/property, several key problems of gr...

0 Junchi Yu, et al. ∙

research

∙ 10/09/2020

Dirichlet Graph Variational Autoencoder

Graph Neural Networks (GNNs) and Variational Autoencoders (VAEs) have be...

0 Jia Li, et al. ∙

research

∙ 08/28/2020

Pixel-Face: A Large-Scale, High-Resolution Benchmark for 3D Face Reconstruction

3D face reconstruction is a fundamental task that can facilitate numerou...

11 Yunxuan Zhang, et al. ∙

research

∙ 08/22/2020

Tackling Over-Smoothing for General Graph Convolutional Networks

Increasing the depth of Graph Convolutional Networks (GCN), which in pri...

0 Wenbing Huang, et al. ∙

research

∙ 08/19/2020

FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration

Although the essential nuance of human motion is often conveyed as a com...

7 Yu Rong, et al. ∙

research

∙ 07/12/2020

Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?

Graph Identification (GI) has long been researched in graph learning and...

0 Tian Bian, et al. ∙

research

∙ 06/01/2020

Leveraging TSP Solver Complementarity via Deep Learning

The Travelling Salesman Problem (TSP) is a classical NP-hard problem and...

0 Kangfei Zhao, et al. ∙

research

∙ 03/16/2020

Spectral Graph Attention Network

Variants of Graph Neural Networks (GNNs) for representation learning hav...

0 Heng Chang, et al. ∙

research

∙ 02/04/2020

Graph Representation Learning via Graphical Mutual Information Maximization

The richness in the content of various information networks such as soci...

0 Zhen Peng, et al. ∙

research

∙ 01/22/2020

Adversarial Attack on Community Detection by Hiding Individuals

It has been demonstrated that adversarial graphs, i.e., graphs with impe...

0 Jia Li, et al. ∙

research

∙ 01/17/2020

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

Social media has been developing rapidly in public due to its nature of ...

0 Tian Bian, et al. ∙

Yu Rong

Featured Co-authors