Search Results for author: Jun Cao

Found 12 papers, 3 papers with code

Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning

no code implementations21 Nov 2021 Daniel J. B. Harrold, Jun Cao, Zhong Fan

In this paper, multi-agent reinforcement learning is used to control a hybrid energy storage system working collaboratively to reduce the energy costs of a microgrid through maximising the value of renewable energy and trading.

Multi-agent Reinforcement Learning

Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints

no code implementations20 Aug 2021 Cephas Samende, Jun Cao, Zhong Fan

In this paper, we investigate an energy cost minimization problem for prosumers participating in peer-to-peer energy trading.

Curvature Graph Neural Network

no code implementations30 Jun 2021 Haifeng Li, Jun Cao, Jiawei Zhu, Yu Liu, Qing Zhu, Guohua Wu

And we propose Curvature Graph Neural Network (CGNN), which effectively improves the adaptive locality ability of GNNs by leveraging the structural property of graph curvature.

Node Classification

Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning

no code implementations10 Jun 2021 Daniel J. B. Harrold, Jun Cao, Zhong Fan

As the world seeks to become more sustainable, intelligent solutions are needed to increase the penetration of renewable energy.

Continuous Control

The Volctrans Neural Speech Translation System for IWSLT 2021

1 code implementation ACL (IWSLT) 2021 Chengqi Zhao, Zhicheng Liu, Jian Tong, Tao Wang, Mingxuan Wang, Rong Ye, Qianqian Dong, Jun Cao, Lei LI

For offline speech translation, our best end-to-end model achieves 8. 1 BLEU improvements over the benchmark on the MuST-C test set and is even approaching the results of a strong cascade solution.


Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks

no code implementations2 Mar 2021 Haifeng Li, Jun Cao, Jiawei Zhu, Qing Zhu, Guohua Wu

A class of GNNs solves this problem by learning implicit weights to represent the importance of neighbor nodes, which we call implicit GNNs such as Graph Attention Network.

Graph Attention

A liquid scintillator for a neutrino Detector working at -50 degree

no code implementations22 Dec 2020 Zhangquan Xie, Jun Cao, Yayun Ding, Mengchao Liu, Xilei Sun, Wei Wang, Yuguang Xie

A liquid scintillator (LS) is developed for the Taishan Antineutrino Observatory (TAO), a ton-level neutrino detector to measure the reactor antineutrino spectrum with sub-percent energy resolution by adopting Silicon Photomultipliers (SiPMs) as photosensor.

Instrumentation and Detectors High Energy Physics - Experiment

Volctrans Parallel Corpus Filtering System for WMT 2020

no code implementations WMT (EMNLP) 2020 Runxin Xu, Zhuo Zhi, Jun Cao, Mingxuan Wang, Lei LI

In this paper, we describe our submissions to the WMT20 shared task on parallel corpus filtering and alignment for low-resource conditions.

Word Alignment

Xiaomingbot: A Multilingual Robot News Reporter

no code implementations ACL 2020 Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yu-Ping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei LI

This paper proposes the building of Xiaomingbot, an intelligent, multilingual and multimodal software robot equipped with four integral capabilities: news generation, news translation, news reading and avatar animation.

News Generation Translation

Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency

1 code implementation6 Apr 2020 Xinglei Wang, Xuefeng Guan, Jun Cao, Na Zhang, Huayi Wu

This model builds on sequence to sequence (seq2seq) architecture to capture temporal feature and relies on graph convolution for aggregating spatial information.

A Hybrid Traffic Speed Forecasting Approach Integrating Wavelet Transform and Motif-based Graph Convolutional Recurrent Neural Network

no code implementations14 Apr 2019 Na Zhang, Xuefeng Guan, Jun Cao, Xinglei Wang, Huayi Wu

In this paper, we propose a hybrid approach that learns the spatio-temporal dependency in traffic flows and predicts short-term traffic speeds on a road network.

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