b'Wenbing Huang'

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

∙ 05/30/2023

Subequivariant Graph Reinforcement Learning in 3D Environments

Learning a shared policy that guides the locomotion of different agents ...

0 Runfa Chen, et al. ∙

research

∙ 03/25/2023

Compacting Binary Neural Networks by Sparse Kernel Selection

Binary Neural Network (BNN) represents convolution weights with 1-bit va...

0 Yikai Wang, et al. ∙

research

∙ 10/15/2022

When to Update Your Model: Constrained Model-based Reinforcement Learning

Designing and analyzing model-based RL (MBRL) algorithms with guaranteed...

0 Tianying Ji, et al. ∙

research

∙ 10/14/2022

Learning Active Camera for Multi-Object Navigation

Getting robots to navigate to multiple objects autonomously is essential...

0 Peihao Chen, et al. ∙

research

∙ 10/11/2022

Benefits of Permutation-Equivariance in Auction Mechanisms

Designing an incentive-compatible auction mechanism that maximizes the a...

0 Tian Qin, et al. ∙

research

∙ 10/11/2022

Planning Assembly Sequence with Graph Transformer

Assembly sequence planning (ASP) is the essential process for modern man...

0 Lin Ma, et al. ∙

research

∙ 10/04/2022

Bridged Transformer for Vision and Point Cloud 3D Object Detection

3D object detection is a crucial research topic in computer vision, whic...

0 Yikai Wang, 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

∙ 06/03/2022

SNAKE: Shape-aware Neural 3D Keypoint Field

Detecting 3D keypoints from point clouds is important for shape reconstr...

0 Chengliang Zhong, et al. ∙

research

∙ 04/19/2022

Multimodal Token Fusion for Vision Transformers

Many adaptations of transformers have emerged to address the single-moda...

0 Yikai Wang, 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

Sound Adversarial Audio-Visual Navigation

Audio-visual navigation task requires an agent to find a sound source in...

0 Yinfeng Yu, 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

∙ 02/01/2022

Sim2Real Object-Centric Keypoint Detection and Description

Keypoint detection and description play a central role in computer visio...

0 Chengliang Zhong, et al. ∙

research

∙ 12/04/2021

Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction

Multimodal fusion and multitask learning are two vital topics in machine...

0 Yikai Wang, 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

∙ 08/11/2021

Elastic Tactile Simulation Towards Tactile-Visual Perception

Tactile sensing plays an important role in robotic perception and manipu...

5 Yikai Wang, 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

∙ 06/10/2021

Adversarial Option-Aware Hierarchical Imitation Learning

It has been a challenge to learning skills for an agent from long-horizo...

6 Mingxuan Jing, 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

∙ 11/23/2020

Elastic Interaction of Particles for Robotic Tactile Simulation

Tactile sensing plays an important role in robotic perception and manipu...

0 Yikai Wang, 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

∙ 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

∙ 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

∙ 04/07/2020

Dense Regression Network for Video Grounding

We address the problem of video grounding from natural language queries....

0 Runhao Zeng, 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

∙ 02/29/2020

Reusing Discriminators for Encoding Towards Unsupervised Image-to-Image Translation

Unsupervised image-to-image translation is a central task in computer vi...

0 Runfa Chen, 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

∙ 01/17/2020

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. ∙

research

∙ 11/16/2019

Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance

In this paper, we study Reinforcement Learning from Demonstrations (RLfD...

0 Mingxuan Jing, et al. ∙

research

∙ 10/10/2019

Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement

This paper studies Learning from Observations (LfO) for imitation learni...

5 Chao Yang, et al. ∙

research

∙ 09/07/2019

Graph Convolutional Networks for Temporal Action Localization

Most state-of-the-art action localization systems process each action pr...

0 Runhao Zeng, et al. ∙

research

∙ 08/18/2019

A Fast and Accurate One-Stage Approach to Visual Grounding

We propose a simple, fast, and accurate one-stage approach to visual gro...

1 Zhengyuan Yang, et al. ∙

research

∙ 08/04/2019

A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models

With the great success of graph embedding model on both academic and ind...

0 Heng Chang, et al. ∙

research

∙ 08/04/2019

The General Black-box Attack Method for Graph Neural Networks

With the great success of Graph Neural Networks (GNNs) towards represent...

0 Heng Chang, et al. ∙

research

∙ 07/25/2019

DropEdge: Towards the Very Deep Graph Convolutional Networks for Node Classification

Existing Graph Convolutional Networks (GCNs) are shallow---the number of...

0 Yu Rong, et al. ∙

research

∙ 07/25/2019

The Truly Deep Graph Convolutional Networks for Node Classification

Existing Graph Convolutional Networks (GCNs) are shallow---the number of...

0 Yu Rong, et al. ∙

research

∙ 07/10/2019

Label Aware Graph Convolutional Network -- Not All Edges Deserve Your Attention

Graph classification is practically important in many domains. To solve ...

8 Hao Chen, et al. ∙

research

∙ 07/01/2019

Unsupervised Adversarial Graph Alignment with Graph Embedding

Graph alignment, also known as network alignment, is a fundamental task ...

0 Chaoqi Chen, et al. ∙

research

∙ 06/27/2019

Adversarial Representation Learning on Large-Scale Bipartite Graphs

Graph representation on large-scale bipartite graphs is central for a va...

3 Chaoyang He, et al. ∙

research

∙ 04/24/2019

Neural Collaborative Subspace Clustering

We introduce the Neural Collaborative Subspace Clustering, a neural mode...

0 Tong Zhang, et al. ∙

research

∙ 04/10/2019

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

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

0 Jia Li, et al. ∙

research

∙ 12/10/2018

Weakly Supervised Dense Event Captioning in Videos

Dense event captioning aims to detect and describe all events of interes...

0 Xuguang Duan, et al. ∙

research

∙ 11/21/2018

Progressive Feature Alignment for Unsupervised Domain Adaptation

Unsupervised domain adaptation (UDA) transfers knowledge from a label-ri...

0 Chaoqi Chen, et al. ∙

research

∙ 09/14/2018

Adaptive Sampling Towards Fast Graph Representation Learning

Graph Convolutional Networks (GCNs) have become a crucial tool on learni...

0 Wenbing Huang, et al. ∙

research

∙ 08/24/2018

Deep Feature Pyramid Reconfiguration for Object Detection

State-of-the-art object detectors usually learn multi-scale representati...

0 Tao Kong, et al. ∙

Wenbing Huang

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