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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...
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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...
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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...
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04/05/2023
ParroT: Translating During Chat Using Large Language Models
Large language models (LLMs) like ChatGPT and GPT-4 have exhibited remar...
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02/28/2023
Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction
Cellular traffic prediction is an indispensable part for intelligent tel...
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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...
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01/20/2023
Is ChatGPT A Good Translator? A Preliminary Study
This report provides a preliminary evaluation of ChatGPT for machine tra...
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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 ...
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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,...
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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...
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05/31/2022
Asynchronous Hierarchical Federated Learning
Federated Learning is a rapidly growing area of research and with variou...
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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...
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05/31/2022
Sepsis Prediction with Temporal Convolutional Networks
We design and implement a temporal convolutional network model to predic...
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05/25/2022
MoCoViT: Mobile Convolutional Vision Transformer
Recently, Transformer networks have achieved impressive results on a var...
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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...
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04/19/2022
Network Topology Optimization via Deep Reinforcement Learning
Topology impacts important network performance metrics, including link u...
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03/29/2022
SepViT: Separable Vision Transformer
Vision Transformers have witnessed prevailing success in a series of vis...
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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...
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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...
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12/08/2021
Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards
Field robotic harvesting is a promising technique in recent development ...
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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 ...
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10/27/2021
Failure-averse Active Learning for Physics-constrained Systems
Active learning is a subfield of machine learning that is devised for de...
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10/18/2021
A Tactile-enabled Grasping Method for Robotic Fruit Harvesting
In the robotic crop harvesting environment, foreign objects intrusion in...
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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...
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05/27/2021
TranSmart: A Practical Interactive Machine Translation System
Automatic machine translation is super efficient to produce translations...
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02/24/2021
Benchmarking Graph Neural Networks on Link Prediction
In this paper, we benchmark several existing graph neural network (GNN) ...
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12/29/2020
Hierarchical Representation via Message Propagation for Robust Model Fitting
In this paper, we propose a novel hierarchical representation via messag...
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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...
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10/24/2020
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation
Non-Autoregressive machine Translation (NAT) models have demonstrated si...
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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...
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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...
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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...
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09/29/2020
Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network
Existing exploration strategies in reinforcement learning (RL) often eit...
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09/29/2020
Cross Learning in Deep Q-Networks
In this work, we propose a novel cross Q-learning algorithm, aim at alle...
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05/03/2020
How Does Selective Mechanism Improve Self-Attention Networks?
Self-attention networks (SANs) with selective mechanism has produced sub...
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04/28/2020
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models
Machine translation (MT) systems translate text between different langua...
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11/22/2019
Neuron Interaction Based Representation Composition for Neural Machine Translation
Recent NLP studies reveal that substantial linguistic information can be...
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09/05/2019
Multi-Granularity Self-Attention for Neural Machine Translation
Current state-of-the-art neural machine translation (NMT) uses a deep mu...
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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...
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09/01/2019
Self-Attention with Structural Position Representations
Although self-attention networks (SANs) have advanced the state-of-the-a...
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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...
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09/01/2019
Towards Understanding Neural Machine Translation with Word Importance
Although neural machine translation (NMT) has advanced the state-of-the-...
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06/04/2019
Exploiting Sentential Context for Neural Machine Translation
In this work, we present novel approaches to exploit sentential context ...
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05/10/2019
Multiple Independent Subspace Clusterings
Multiple clustering aims at discovering diverse ways of organizing data ...
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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...
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04/05/2019
Modeling Recurrence for Transformer
Recently, the Transformer model that is based solely on attention mechan...
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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...
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02/15/2019
Context-Aware Self-Attention Networks
Self-attention model have shown its flexibility in parallel computation ...
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12/26/2018
Learning to Refine Source Representations for Neural Machine Translation
Neural machine translation (NMT) models generally adopt an encoder-decod...
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11/01/2018