b'Xing Wang'

research

∙ 08/31/2023

A Novel Perception and Semantic Mapping Method for Robot Autonomy in Orchards

In this work, we propose a novel framework for achieving robotic autonom...

0 Yaoqiang Pan, et al. ∙

research

∙ 06/12/2023

MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting

Long-term time series forecasting plays an important role in various rea...

0 Xing Wang, et al. ∙

research

∙ 05/18/2023

Cross-modality Data Augmentation for End-to-End Sign Language Translation

End-to-end sign language translation (SLT) aims to convert sign language...

0 Jinhui Ye, et al. ∙

research

∙ 04/05/2023

ParroT: Translating During Chat Using Large Language Models

Large language models (LLMs) like ChatGPT and GPT-4 have exhibited remar...

0 Wenxiang Jiao, et al. ∙

research

∙ 02/28/2023

Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction

Cellular traffic prediction is an indispensable part for intelligent tel...

0 Xing Wang, et al. ∙

research

∙ 02/26/2023

The misuse of the nonlinear field normalization method: Nonlinear field normalization citation counts at the paper level cannot be added or averaged

There is a very important problem that has not attracted sufficient atte...

0 Xing Wang, et al. ∙

research

∙ 01/20/2023

Is ChatGPT A Good Translator? A Preliminary Study

This report provides a preliminary evaluation of ChatGPT for machine tra...

0 Wenxiang Jiao, et al. ∙

research

∙ 10/13/2022

Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation

Sign language gloss translation aims to translate the sign glosses into ...

0 Jinhui Ye, et al. ∙

research

∙ 09/03/2022

STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction

We present a simple yet effective self-training approach, named as STAD,...

0 JunJie Yu, et al. ∙

research

∙ 08/04/2022

Semantic Segmentation of Fruits on Multi-sensor Fused Data in Natural Orchards

Semantic segmentation is a fundamental task for agricultural robots to u...

9 Hanwen Kang, et al. ∙

research

∙ 05/31/2022

Asynchronous Hierarchical Federated Learning

Federated Learning is a rapidly growing area of research and with variou...

0 Xing Wang, et al. ∙

research

∙ 05/31/2022

Reliable and Efficient Broadcast Routing Using Multipoint Relays Over VANET For Vehicle Platooning

In this paper, we design and implement a reliable broadcast algorithm ov...

0 Xing Wang, et al. ∙

research

∙ 05/31/2022

Sepsis Prediction with Temporal Convolutional Networks

We design and implement a temporal convolutional network model to predic...

0 Xing Wang, et al. ∙

research

∙ 05/25/2022

MoCoViT: Mobile Convolutional Vision Transformer

Recently, Transformer networks have achieved impressive results on a var...

0 Hailong Ma, et al. ∙

research

∙ 05/01/2022

Accurate Fruit Localisation for Robotic Harvesting using High Resolution LiDAR-Camera Fusion

Accurate depth-sensing plays a crucial role in securing a high success r...

0 Hanwen Kang, et al. ∙

research

∙ 04/19/2022

Network Topology Optimization via Deep Reinforcement Learning

Topology impacts important network performance metrics, including link u...

0 Zhuoran Li, et al. ∙

research

∙ 03/29/2022

SepViT: Separable Vision Transformer

Vision Transformers have witnessed prevailing success in a series of vis...

0 Wei Li, et al. ∙

research

∙ 03/16/2022

Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation

In this paper, we present a substantial step in better understanding the...

0 Wenxuan Wang, et al. ∙

research

∙ 12/28/2021

Soft Robotic Finger with Variable Effective Length enabled by an Antagonistic Constraint Mechanism

Compared to traditional rigid robotics, soft robotics has attracted incr...

0 Xing Wang, et al. ∙

research

∙ 12/08/2021

Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards

Field robotic harvesting is a promising technique in recent development ...

4 Hanwen Kang, et al. ∙

research

∙ 11/01/2021

Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

Mobile network traffic forecasting is one of the key functions in daily ...

0 Xing Wang, et al. ∙

research

∙ 10/27/2021

Failure-averse Active Learning for Physics-constrained Systems

Active learning is a subfield of machine learning that is devised for de...

0 Cheolhei Lee, et al. ∙

research

∙ 10/18/2021

A Tactile-enabled Grasping Method for Robotic Fruit Harvesting

In the robotic crop harvesting environment, foreign objects intrusion in...

0 Hongyu Zhou, et al. ∙

research

∙ 06/02/2021

Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation

Self-training has proven effective for improving NMT performance by augm...

0 Wenxiang Jiao, et al. ∙

research

∙ 05/27/2021

TranSmart: A Practical Interactive Machine Translation System

Automatic machine translation is super efficient to produce translations...

7 Guoping Huang, et al. ∙

research

∙ 02/24/2021

Benchmarking Graph Neural Networks on Link Prediction

In this paper, we benchmark several existing graph neural network (GNN) ...

0 Xing Wang, et al. ∙

research

∙ 12/29/2020

Hierarchical Representation via Message Propagation for Robust Model Fitting

In this paper, we propose a novel hierarchical representation via messag...

1 Shuyuan Lin, et al. ∙

research

∙ 10/27/2020

Non-Newtonian and poroelastic effects in simulations of arterial flows

In this paper, we focus on investigating the influence on hydrodynamic f...

0 Tongtong Li, et al. ∙

research

∙ 10/24/2020

Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation

Non-Autoregressive machine Translation (NAT) models have demonstrated si...

0 Yongchang Hao, et al. ∙

research

∙ 10/18/2020

Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism

Data Parallelism (DP) and Model Parallelism (MP) are two common paradigm...

8 Vipul Gupta, et al. ∙

research

∙ 10/06/2020

Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation

Large-scale training datasets lie at the core of the recent success of n...

0 Wenxiang Jiao, et al. ∙

research

∙ 09/29/2020

Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network

We have proposed to develop a global hybrid deep learning framework to p...

0 Xing Wang, et al. ∙

research

∙ 09/29/2020

Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network

Existing exploration strategies in reinforcement learning (RL) often eit...

0 Xing Wang, et al. ∙

research

∙ 09/29/2020

Cross Learning in Deep Q-Networks

In this work, we propose a novel cross Q-learning algorithm, aim at alle...

0 Xing Wang, et al. ∙

research

∙ 05/03/2020

How Does Selective Mechanism Improve Self-Attention Networks?

Self-attention networks (SANs) with selective mechanism has produced sub...

0 Xinwei Geng, et al. ∙

research

∙ 04/28/2020

Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models

Machine translation (MT) systems translate text between different langua...

0 Shilin He, et al. ∙

research

∙ 11/22/2019

Neuron Interaction Based Representation Composition for Neural Machine Translation

Recent NLP studies reveal that substantial linguistic information can be...

0 Jian Li, et al. ∙

research

∙ 09/05/2019

Multi-Granularity Self-Attention for Neural Machine Translation

Current state-of-the-art neural machine translation (NMT) uses a deep mu...

0 Jie Hao, et al. ∙

research

∙ 09/04/2019

Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons

Recent studies have shown that a hybrid of self-attention networks (SANs...

0 Jie Hao, et al. ∙

research

∙ 09/01/2019

Self-Attention with Structural Position Representations

Although self-attention networks (SANs) have advanced the state-of-the-a...

0 Xing Wang, et al. ∙

research

∙ 09/01/2019

One Model to Learn Both: Zero Pronoun Prediction and Translation

Zero pronouns (ZPs) are frequently omitted in pro-drop languages, but sh...

0 Longyue Wang, et al. ∙

research

∙ 09/01/2019

Towards Understanding Neural Machine Translation with Word Importance

Although neural machine translation (NMT) has advanced the state-of-the-...

0 Shilin He, et al. ∙

research

∙ 06/04/2019

Exploiting Sentential Context for Neural Machine Translation

In this work, we present novel approaches to exploit sentential context ...

0 Xing Wang, et al. ∙

research

∙ 05/10/2019

Multiple Independent Subspace Clusterings

Multiple clustering aims at discovering diverse ways of organizing data ...

4 Xing Wang, et al. ∙

research

∙ 04/05/2019

Information Aggregation for Multi-Head Attention with Routing-by-Agreement

Multi-head attention is appealing for its ability to jointly extract dif...

0 Jian Li, et al. ∙

research

∙ 04/05/2019

Modeling Recurrence for Transformer

Recently, the Transformer model that is based solely on attention mechan...

0 Jie Hao, et al. ∙

research

∙ 02/15/2019

Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement

With the promising progress of deep neural networks, layer aggregation h...

0 Zi-Yi Dou, et al. ∙

research

∙ 02/15/2019

Context-Aware Self-Attention Networks

Self-attention model have shown its flexibility in parallel computation ...

0 Baosong Yang, et al. ∙

research

∙ 12/26/2018

Learning to Refine Source Representations for Neural Machine Translation

Neural machine translation (NMT) models generally adopt an encoder-decod...

0 Xinwei Geng, et al. ∙

research

∙ 11/01/2018

A Deep Dive into Blockchain Selfish Mining

This paper studies a fundamental problem regarding the security of block...

0 Qianlan Bai, et al. ∙

Xing Wang

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