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08/30/2023
6G Localization and Sensing in the Near Field: Fundamentals, Opportunities, and Challenges
The far-field channel model has historically been used in wireless commu...
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07/18/2023
RepViT: Revisiting Mobile CNN From ViT Perspective
Recently, lightweight Vision Transformers (ViTs) demonstrate superior pe...
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07/09/2023
SAS Video-QA: Self-Adaptive Sampling for Efficient Video Question-Answering
Video question–answering is a fundamental task in the field of video und...
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06/06/2023
Reconstructing human activities via coupling mobile phone data with location-based social networks
In the era of big data, the ubiquity of location-aware portable devices ...
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05/23/2023
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) is a subtask of Aspect-Based ...
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04/30/2023
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation
Recently, transformers have shown strong ability as visual feature extra...
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04/26/2023
Bayesian Federated Learning: A Survey
Federated learning (FL) demonstrates its advantages in integrating distr...
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04/14/2023
Detector Design and Performance Analysis for Target Detection in Subspace Interference
It is often difficult to obtain sufficient training data for adaptive si...
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03/23/2023
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
Multi-label recognition (MLR) with incomplete labels is very challenging...
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03/23/2023
Box-Level Active Detection
Active learning selects informative samples for annotation within budget...
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02/25/2023
A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for Hyperparameter Optimization in Deep Convolutional Neural Network
Convolutional neural networks (CNNs) have gained remarkable success in r...
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01/28/2023
MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring
The widespread emergence of smart devices for ECG has sparked demand for...
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11/17/2022
Unsupervised Model-based speaker adaptation of end-to-end lattice-free MMI model for speech recognition
Modeling the speaker variability is a key challenge for automatic speech...
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11/03/2022
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection
The ground plane prior is a very informative geometry clue in monocular ...
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10/23/2022
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences
Existing multimodal tasks mostly target at the complete input modality s...
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10/23/2022
Generative Knowledge Graph Construction: A Review
Generative Knowledge Graph Construction (KGC) refers to those methods th...
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10/23/2022
SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training
Self-training methods have been explored in recent years and have exhibi...
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09/30/2022
Construction and Applications of Open Business Knowledge Graph
Business Knowledge Graph is important to many enterprises today, providi...
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09/19/2022
Neural-Symbolic Entangled Framework for Complex Query Answering
Answering complex queries over knowledge graphs (KG) is an important yet...
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09/13/2022
Ruleformer: Context-aware Differentiable Rule Mining over Knowledge Graph
Rule mining is an effective approach for reasoning over knowledge graph ...
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09/12/2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification
This paper proposes a simple yet effective interpolation-based data augm...
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09/12/2022
Detecting Network-based Internet Censorship via Latent Feature Representation Learning
Internet censorship is a phenomenon of societal importance and attracts ...
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09/12/2022
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning
With the boom of e-commerce, Multimodal Review Helpfulness Prediction (M...
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08/30/2022
You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms
Benefiting from the search efficiency, differentiable neural architectur...
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05/22/2022
Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce
In e-commerce, the salience of commonsense knowledge (CSK) is beneficial...
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05/12/2022
Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction
Entity matching (EM) is the most critical step for entity resolution (ER...
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03/03/2022
Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data
With the Autonomous Vehicle (AV) industry shifting towards Autonomy 2.0,...
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02/16/2022
Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective
Knowledge Extraction (KE) which aims to extract structural information f...
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02/04/2022
From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer
Knowledge graph completion aims to address the problem of extending a KG...
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01/27/2022
Ontology-enhanced Prompt-tuning for Few-shot Learning
Few-shot Learning (FSL) is aimed to make predictions based on a limited ...
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01/19/2022
FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks
Convolutional Neural Networks (CNNs) demonstrate great performance in va...
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10/08/2021
Multi-trends Enhanced Dynamic Micro-video Recommendation
The explosively generated micro-videos on content sharing platforms call...
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10/01/2021
Learning to Ask for Data-Efficient Event Argument Extraction
Event argument extraction (EAE) is an important task for information ext...
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09/01/2021
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis
In multimodal sentiment analysis (MSA), the performance of a model highl...
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08/20/2021
Knowledge Perceived Multi-modal Pretraining in E-commerce
In this paper, we address multi-modal pretraining of product data in the...
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07/28/2021
Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis
Multimodal sentiment analysis aims to extract and integrate semantic inf...
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06/03/2021
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba
Conceptual graphs, which is a particular type of Knowledge Graphs, play ...
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05/23/2021
OntoED: Low-resource Event Detection with Ontology Embedding
Event Detection (ED) aims to identify event trigger words from a given t...
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04/30/2021
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph
Conversational Recommender Systems (CRSs) in E-commerce platforms aim to...
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04/22/2021
TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications
Following recent advances in terahertz (THz) technology, there is a cons...
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04/07/2021
Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging
Ghost imaging (GI) has been paid attention gradually because of its lens...
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04/06/2021
Text-guided Legal Knowledge Graph Reasoning
Recent years have witnessed the prosperity of legal artificial intellige...
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03/25/2021
Generative-Adversarial-Networks-based Ghost Recognition
Nowadays, target recognition technique plays an important role in many f...
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03/16/2021
Learning to Shape Rewards using a Game of Switching Controls
Reward shaping (RS) is a powerful method in reinforcement learning (RL) ...
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11/19/2020
Persuasive Dialogue Understanding: the Baselines and Negative Results
Persuasion aims at forming one's opinion and action via a series of pers...
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11/18/2020
ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission
SMART NoC, which transmits unconflicted flits to distant processing elem...
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10/27/2020
Learning to Infer Unseen Attribute-Object Compositions
The composition recognition of unseen attribute-object is critical to ma...
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09/26/2020
Decision-Aware Conditional GANs for Time Series Data
We introduce the decision-aware time-series conditional generative adver...
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09/13/2020
DistilE: Distiling Knowledge Graph Embeddings for Faster and Cheaper Reasoning
Knowledge Graph Embedding (KGE) is a popular method for KG reasoning and...
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09/10/2020