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09/15/2023
LASER: LLM Agent with State-Space Exploration for Web Navigation
Large language models (LLMs) have been successfully adapted for interact...
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09/08/2023
Unsupervised Multi-document Summarization with Holistic Inference
Multi-document summarization aims to obtain core information from a coll...
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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 ...
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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...
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05/22/2023
Open-Domain Event Graph Induction for Mitigating Framing Bias
Researchers have proposed various information extraction (IE) techniques...
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03/01/2023
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
With the development of computer-assisted techniques, research communiti...
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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...
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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...
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02/12/2023
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data
Intelligent fault diagnosis has made extraordinary advancements currentl...
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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...
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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...
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06/06/2022
Schema-Guided Event Graph Completion
We tackle a new task, event graph completion, which aims to predict miss...
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09/21/2021
Chemical-Reaction-Aware Molecule Representation Learning
Molecule representation learning (MRL) methods aim to embed molecules in...
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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 ...
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07/10/2021
Multi-Agent Imitation Learning with Copulas
Multi-agent imitation learning aims to train multiple agents to perform ...
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05/10/2021
RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation
Existing online multiple object tracking (MOT) algorithms often consist ...
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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...
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09/10/2020
MAT: Motion-Aware Multi-Object Tracking
Modern multi-object tracking (MOT) systems usually model the trajectorie...
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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...
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03/16/2020
Refinements in Motion and Appearance for Online Multi-Object Tracking
Modern multi-object tracking (MOT) system usually involves separated mod...
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02/17/2020
Entity Context and Relational Paths for Knowledge Graph Completion
Knowledge graph completion aims to predict missing relations between ent...
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02/17/2020
Unifying Graph Convolutional Neural Networks and Label Propagation
Label Propagation (LPA) and Graph Convolutional Neural Networks (GCN) ar...
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09/22/2019
Outlier-Detection Based Robust Information Fusion for Networked Systems
We consider state estimation for networked systems where measurements fr...
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06/30/2019
An outlier-robust Kalman filter with mixture correntropy
We consider the robust filtering problem for a nonlinear state-space mod...
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05/11/2019
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
Knowledge graphs capture interlinked information between entities and th...
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05/11/2019
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
Knowledge graphs capture structured information and relations between a ...
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05/11/2019
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommendation
Knowledge graphs capture structured information and relations between a ...
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03/18/2019
Knowledge Graph Convolutional Networks for Recommender Systems
To alleviate sparsity and cold start problem of collaborative filtering ...
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02/15/2019
Lipschitz Generative Adversarial Nets
In this paper we study the convergence of generative adversarial network...
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01/23/2019
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
Collaborative filtering often suffers from sparsity and cold start probl...
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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...
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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...
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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...
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09/07/2018
Maximum Correntropy Derivative-Free Robust Kalman Filter and Smoother
We consider the problem of robust estimation involving filtering and smo...
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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...
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01/25/2018
DKN: Deep Knowledge-Aware Network for News Recommendation
Online news recommender systems aim to address the information explosion...
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12/03/2017
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
In online social networks people often express attitudes towards others,...
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12/03/2017
Joint Topic-Semantic-aware Social Recommendation for Online Voting
Online voting is an emerging feature in social networks, in which users ...
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11/22/2017
