47 citations · 87 across the 6 of their papers we have counts for
6 papers
Prediction of properties of metal alloy materials based on machine learning
Houchen Zuo, Yongquan Jiang, Yan Yang +1
Density functional theory and its optimization algorithm are the main methods to calculate the properties in the field of materials. Although the calculation results are accurate,…
DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction
Dongjie Wang, Yan Yang, Shangming Ning
Urban resource scheduling is an important part of the development of a smart city, and transportation resources are the main components of urban resources. Currently, a series of p…
Learning with Noisy Labels for Sentence-level Sentiment Classification
Hao Wang, Bing Liu, Chaozhuo Li +2
Deep neural networks (DNNs) can fit (or even over-fit) the training data very well. If a DNN model is trained using data with noisy labels and tested on data with clean labels, the…
Forward and Backward Knowledge Transfer for Sentiment Classification
Hao Wang, Bing Liu, Shuai Wang +2
This paper studies the problem of learning a sequence of sentiment classification tasks. The learned knowledge from each task is retained and used to help future or subsequent task…
Spectral Perturbation Meets Incomplete Multi-view Data
Hao Wang, Linlin Zong, Bing Liu +2
Beyond existing multi-view clustering, this paper studies a more realistic clustering scenario, referred to as incomplete multi-view clustering, where a number of data instances ar…
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework
Shengdong Du, Tianrui Li, Yan Yang +1
Air quality forecasting has been regarded as the key problem of air pollution early warning and control management. In this paper, we propose a novel deep learning model for air qu…