b'Hui Chen'

research

∙ 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...

0 Hui Chen, et al. ∙

research

∙ 07/18/2023

RepViT: Revisiting Mobile CNN From ViT Perspective

Recently, lightweight Vision Transformers (ViTs) demonstrate superior pe...

0 Ao Wang, et al. ∙

research

∙ 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...

0 Wei Han, et al. ∙

research

∙ 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 ...

0 Le Huang, et al. ∙

research

∙ 05/23/2023

Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) is a subtask of Aspect-Based ...

0 Yew Ken Chia, et al. ∙

research

∙ 04/30/2023

Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation

Recently, transformers have shown strong ability as visual feature extra...

0 Tianxiang Hao, et al. ∙

research

∙ 04/26/2023

Bayesian Federated Learning: A Survey

Federated learning (FL) demonstrates its advantages in integrating distr...

0 Longbing Cao, et al. ∙

research

∙ 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...

0 Weijian Liu, et al. ∙

research

∙ 03/23/2023

Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels

Multi-label recognition (MLR) with incomplete labels is very challenging...

0 Zixuan Ding, et al. ∙

research

∙ 03/23/2023

Box-Level Active Detection

Active learning selects informative samples for annotation within budget...

0 Mengyao Lyu, et al. ∙

research

∙ 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...

0 An Chen, et al. ∙

research

∙ 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...

0 Yuzhen Qin, et al. ∙

research

∙ 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...

0 Xurong Xie, et al. ∙

research

∙ 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 ...

0 Fan Yang, et al. ∙

research

∙ 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...

0 Wei Han, et al. ∙

research

∙ 10/23/2022

Generative Knowledge Graph Construction: A Review

Generative Knowledge Graph Construction (KGC) refers to those methods th...

0 Hongbin Ye, et al. ∙

research

∙ 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...

0 Hui Chen, et al. ∙

research

∙ 09/30/2022

Construction and Applications of Open Business Knowledge Graph

Business Knowledge Graph is important to many enterprises today, providi...

11 Shumin Deng, et al. ∙

research

∙ 09/19/2022

Neural-Symbolic Entangled Framework for Complex Query Answering

Answering complex queries over knowledge graphs (KG) is an important yet...

0 Zezhong Xu, et al. ∙

research

∙ 09/13/2022

Ruleformer: Context-aware Differentiable Rule Mining over Knowledge Graph

Rule mining is an effective approach for reasoning over knowledge graph ...

0 Zezhong Xu, et al. ∙

research

∙ 09/12/2022

DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification

This paper proposes a simple yet effective interpolation-based data augm...

0 Hui Chen, et al. ∙

research

∙ 09/12/2022

Detecting Network-based Internet Censorship via Latent Feature Representation Learning

Internet censorship is a phenomenon of societal importance and attracts ...

0 Shawn P. Duncan, et al. ∙

research

∙ 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...

0 Wei Han, et al. ∙

research

∙ 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...

0 Xiangzhong Luo, et al. ∙

research

∙ 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...

0 Yincen Qu, et al. ∙

research

∙ 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...

0 Tianshu Wang, et al. ∙

research

∙ 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,...

0 Lukas Platinsky, et al. ∙

research

∙ 02/16/2022

Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective

Knowledge Extraction (KE) which aims to extract structural information f...

0 Shumin Deng, et al. ∙

research

∙ 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...

0 Xin Xie, et al. ∙

research

∙ 01/27/2022

Ontology-enhanced Prompt-tuning for Few-shot Learning

Few-shot Learning (FSL) is aimed to make predictions based on a limited ...

0 Hongbin Ye, et al. ∙

research

∙ 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...

0 Shien Zhu, et al. ∙

research

∙ 10/08/2021

Multi-trends Enhanced Dynamic Micro-video Recommendation

The explosively generated micro-videos on content sharing platforms call...

0 Yujie Lu, et al. ∙

research

∙ 10/01/2021

Learning to Ask for Data-Efficient Event Argument Extraction

Event argument extraction (EAE) is an important task for information ext...

0 Hongbin Ye, et al. ∙

research

∙ 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...

0 Wei Han, et al. ∙

research

∙ 08/20/2021

Knowledge Perceived Multi-modal Pretraining in E-commerce

In this paper, we address multi-modal pretraining of product data in the...

0 Yushan Zhu, et al. ∙

research

∙ 07/28/2021

Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

Multimodal sentiment analysis aims to extract and integrate semantic inf...

13 Wei Han, et al. ∙

research

∙ 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 ...

0 Ningyu Zhang, et al. ∙

research

∙ 05/23/2021

OntoED: Low-resource Event Detection with Ontology Embedding

Event Detection (ED) aims to identify event trigger words from a given t...

0 Shumin Deng, et al. ∙

research

∙ 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...

0 Chi-Man Wong, et al. ∙

research

∙ 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...

0 Simon Tarboush, et al. ∙

research

∙ 04/07/2021

Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging

Ghost imaging (GI) has been paid attention gradually because of its lens...

0 Yuchen He, et al. ∙

research

∙ 04/06/2021

Text-guided Legal Knowledge Graph Reasoning

Recent years have witnessed the prosperity of legal artificial intellige...

0 Luoqiu Li, et al. ∙

research

∙ 03/25/2021

Generative-Adversarial-Networks-based Ghost Recognition

Nowadays, target recognition technique plays an important role in many f...

0 Yuchen He, et al. ∙

research

∙ 03/16/2021

Learning to Shape Rewards using a Game of Switching Controls

Reward shaping (RS) is a powerful method in reinforcement learning (RL) ...

4 David Mguni, et al. ∙

research

∙ 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...

6 Hui Chen, et al. ∙

research

∙ 11/18/2020

ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission

SMART NoC, which transmits unconflicted flits to distant processing elem...

0 Hui Chen, et al. ∙

research

∙ 10/27/2020

Learning to Infer Unseen Attribute-Object Compositions

The composition recognition of unseen attribute-object is critical to ma...

6 Hui Chen, et al. ∙

research

∙ 09/26/2020

Decision-Aware Conditional GANs for Time Series Data

We introduce the decision-aware time-series conditional generative adver...

7 He Sun, et al. ∙

research

∙ 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...

14 Yushan Zhu, et al. ∙

research

∙ 09/10/2020

Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

Dialogue relation extraction (DRE) aims to detect the relation between t...

0 Hui Chen, et al. ∙

Hui Chen

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