activity
20182023
most citedSea Ice Forecasting using Attention-based Ensemble LSTM

19 citations · 53 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2023★ 9 cited

MT-IceNet -- A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting

Sahara Ali, Jianwu Wang

Arctic amplification has altered the climate patterns both regionally and globally, resulting in more frequent and more intense extreme weather events in the past few decades. The…

cs.DC2022★ 8 cited

An Edge-Cloud Integrated Framework for Flexible and Dynamic Stream Analytics

Xin Wang, Azim Khan, Jianwu Wang +3

With the popularity of Internet of Things (IoT), edge computing and cloud computing, more and more stream analytics applications are being developed including real-time trend predi…

cs.DC2021★ 15 cited

Reproducible and Portable Big Data Analytics in the Cloud

Xin Wang, Pei Guo, Xingyan Li +4

Cloud computing has become a major approach to help reproduce computational experiments. Yet there are still two main difficulties in reproducing batch based big data analytics (in…

physics.ao-ph2021★ 19 cited

Sea Ice Forecasting using Attention-based Ensemble LSTM

Sahara Ali, Yiyi Huang, Xin Huang +1

Accurately forecasting Arctic sea ice from subseasonal to seasonal scales has been a major scientific effort with fundamental challenges at play. In addition to physics-based earth…

cs.LG2018★ 2 cited

A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification

Wenbin Zhang, Jianwu Wang, Daeho Jin +2

A self-organizing map (SOM) is a type of competitive artificial neural network, which projects the high-dimensional input space of the training samples into a low-dimensional space…