b'Hongwei Wang'

research

∙ 09/15/2023

LASER: LLM Agent with State-Space Exploration for Web Navigation

Large language models (LLMs) have been successfully adapted for interact...

0 Kaixin Ma, et al. ∙

research

∙ 09/08/2023

Unsupervised Multi-document Summarization with Holistic Inference

Multi-document summarization aims to obtain core information from a coll...

0 Haopeng Zhang, et al. ∙

research

∙ 06/27/2023

Internal Contrastive Learning for Generalized Out-of-distribution Fault Diagnosis (GOOFD) Framework

Fault diagnosis is essential in industrial processes for monitoring the ...

0 Xingyue Wang, et al. ∙

research

∙ 06/26/2023

Hard Sample Mining Enabled Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis

The efficient utilization of wind power by wind turbines relies on the a...

0 Zixuan Wang, et al. ∙

research

∙ 05/22/2023

Open-Domain Event Graph Induction for Mitigating Framing Bias

Researchers have proposed various information extraction (IE) techniques...

0 Siyi Liu, et al. ∙

research

∙ 03/01/2023

Deep Learning Methods for Small Molecule Drug Discovery: A Survey

With the development of computer-assisted techniques, research communiti...

0 Wenhao Hu, et al. ∙

research

∙ 02/28/2023

Focus On Details: Online Multi-object Tracking with Diverse Fine-grained Representation

Discriminative representation is essential to keep a unique identifier f...

0 Hao Ren, et al. ∙

research

∙ 02/13/2023

An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis

Fault detection and diagnosis is significant for reducing maintenance co...

0 Mengxuan Li, et al. ∙

research

∙ 02/12/2023

SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data

Intelligent fault diagnosis has made extraordinary advancements currentl...

0 Peng Peng, et al. ∙

research

∙ 02/03/2023

SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples

In real industrial processes, fault diagnosis methods are required to le...

0 Mengxuan Li, et al. ∙

research

∙ 12/21/2022

UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering

Medical Visual Question Answering (Medical-VQA) aims to to answer clinic...

0 Chenlu Zhan, et al. ∙

research

∙ 06/06/2022

Schema-Guided Event Graph Completion

We tackle a new task, event graph completion, which aims to predict miss...

0 Hongwei Wang, et al. ∙

research

∙ 09/21/2021

Chemical-Reaction-Aware Molecule Representation Learning

Molecule representation learning (MRL) methods aim to embed molecules in...

16 Hongwei Wang, et al. ∙

research

∙ 08/11/2021

An efficient algorithm for simulating ensembles of parameterized MHD flow problems

In this paper, we propose, analyze, and test an efficient algorithm for ...

0 Muhammad Mohebujjaman, et al. ∙

research

∙ 07/10/2021

Multi-Agent Imitation Learning with Copulas

Multi-agent imitation learning aims to train multiple agents to perform ...

7 Hongwei Wang, et al. ∙

research

∙ 05/10/2021

RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation

Existing online multiple object tracking (MOT) algorithms often consist ...

0 En Yu, et al. ∙

research

∙ 11/26/2020

Outlier-robust Kalman Filter in the Presence of Correlated Measurements

We consider the robust filtering problem for a state-space model with ou...

0 Hongwei Wang, et al. ∙

research

∙ 09/10/2020

MAT: Motion-Aware Multi-Object Tracking

Modern multi-object tracking (MOT) systems usually model the trajectorie...

7 Shoudong Han, et al. ∙

research

∙ 08/31/2020

Distance Encoding – Design Provably More Powerful Graph Neural Networks for Structural Representation Learning

Learning structural representations of node sets from graph-structured d...

42 Pan Li, et al. ∙

research

∙ 03/16/2020

Refinements in Motion and Appearance for Online Multi-Object Tracking

Modern multi-object tracking (MOT) system usually involves separated mod...

6 Piao Huang, et al. ∙

research

∙ 02/17/2020

Entity Context and Relational Paths for Knowledge Graph Completion

Knowledge graph completion aims to predict missing relations between ent...

7 Hongwei Wang, et al. ∙

research

∙ 02/17/2020

Unifying Graph Convolutional Neural Networks and Label Propagation

Label Propagation (LPA) and Graph Convolutional Neural Networks (GCN) ar...

9 Hongwei Wang, et al. ∙

research

∙ 09/22/2019

Outlier-Detection Based Robust Information Fusion for Networked Systems

We consider state estimation for networked systems where measurements fr...

0 Hongwei Wang, et al. ∙

research

∙ 06/30/2019

An outlier-robust Kalman filter with mixture correntropy

We consider the robust filtering problem for a nonlinear state-space mod...

0 Hongwei Wang, et al. ∙

research

∙ 05/11/2019

Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization

Knowledge graphs capture interlinked information between entities and th...

9 Hongwei Wang, et al. ∙

research

∙ 05/11/2019

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

Knowledge graphs capture structured information and relations between a ...

0 Hongwei Wang, et al. ∙

research

∙ 05/11/2019

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommendation

Knowledge graphs capture structured information and relations between a ...

0 Hongwei Wang, et al. ∙

research

∙ 03/18/2019

Knowledge Graph Convolutional Networks for Recommender Systems

To alleviate sparsity and cold start problem of collaborative filtering ...

0 Hongwei Wang, et al. ∙

research

∙ 02/15/2019

Lipschitz Generative Adversarial Nets

In this paper we study the convergence of generative adversarial network...

0 Zhiming Zhou, et al. ∙

research

∙ 01/23/2019

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

Collaborative filtering often suffers from sparsity and cold start probl...

0 Hongwei Wang, et al. ∙

research

∙ 11/19/2018

Visual-Texual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks

User emotion analysis toward videos is to automatically recognize the ge...

0 Chenchen Li, et al. ∙

research

∙ 11/13/2018

Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks

Recurrent Neural Networks (RNNs) have been widely used in processing nat...

0 Chang Xu, et al. ∙

research

∙ 09/29/2018

AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods

Adam is shown not being able to converge to the optimal solution in cert...

0 Zhiming Zhou, et al. ∙

research

∙ 09/07/2018

Maximum Correntropy Derivative-Free Robust Kalman Filter and Smoother

We consider the problem of robust estimation involving filtering and smo...

0 Hongwei Wang, et al. ∙

research

∙ 03/09/2018

Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems

To address the sparsity and cold start problem of collaborative filterin...

0 Hongwei Wang, et al. ∙

research

∙ 01/25/2018

DKN: Deep Knowledge-Aware Network for News Recommendation

Online news recommender systems aim to address the information explosion...

0 Hongwei Wang, et al. ∙

research

∙ 12/03/2017

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

In online social networks people often express attitudes towards others,...

0 Hongwei Wang, et al. ∙

research

∙ 12/03/2017

Joint Topic-Semantic-aware Social Recommendation for Online Voting

Online voting is an emerging feature in social networks, in which users ...

0 Hongwei Wang, et al. ∙

research

∙ 11/22/2017

GraphGAN: Graph Representation Learning with Generative Adversarial Nets

The goal of graph representation learning is to embed each vertex in a g...

0 Hongwei Wang, et al. ∙

Hongwei Wang

Featured Co-authors