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10/20/2022
The VolcTrans System for WMT22 Multilingual Machine Translation Task
This report describes our VolcTrans system for the WMT22 shared task on ...
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10/15/2022
Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations
The pretasks are mainly built on mutual information estimation, which re...
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09/23/2022
Zero-shot Domain Adaptation for Neural Machine Translation with Retrieved Phrase-level Prompts
Domain adaptation is an important challenge for neural machine translati...
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08/26/2022
Battery and Hydrogen Energy Storage Control in a Smart Energy Network with Flexible Energy Demand using Deep Reinforcement Learning
Smart energy networks provide for an effective means to accommodate high...
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04/08/2022
GigaST: A 10,000-hour Pseudo Speech Translation Corpus
This paper introduces GigaST, a large-scale pseudo speech translation (S...
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11/21/2021
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
In this paper, multi-agent reinforcement learning is used to control a h...
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09/21/2021
Learning Kernel-Smoothed Machine Translation with Retrieved Examples
How to effectively adapt neural machine translation (NMT) models accordi...
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08/18/2021
A Review on Cybersecurity in Smart Local Energy Systems: Requirements, Challenges, and Standards
Smart local energy system (SLES) is considered as a promising pathway fa...
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06/30/2021
Curvature Graph Neural Network
Graph neural networks (GNNs) have achieved great success in many graph-b...
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06/10/2021
Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning
As the world seeks to become more sustainable, intelligent solutions are...
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05/16/2021
The Volctrans Neural Speech Translation System for IWSLT 2021
This paper describes the systems submitted to IWSLT 2021 by the Volctran...
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03/02/2021
Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks
One of the key problems of GNNs is how to describe the importance of nei...
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10/27/2020
Volctrans Parallel Corpus Filtering System for WMT 2020
In this paper, we describe our submissions to the WMT20 shared task on p...
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07/12/2020
Xiaomingbot: A Multilingual Robot News Reporter
This paper proposes the building of Xiaomingbot, an intelligent, multili...
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04/06/2020
Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency
Obtaining accurate information about future traffic flows of all links i...
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04/14/2019
A Hybrid Traffic Speed Forecasting Approach Integrating Wavelet Transform and Motif-based Graph Convolutional Recurrent Neural Network
Traffic forecasting is crucial for urban traffic management and guidance...
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09/12/2018