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Tianrui Li
Researcher at Southwest Jiaotong University
Publications - 492
Citations - 13060
Tianrui Li is an academic researcher from Southwest Jiaotong University. The author has contributed to research in topics: Rough set & Computer science. The author has an hindex of 53, co-authored 409 publications receiving 8937 citations. Previous affiliations of Tianrui Li include Beihang University.
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Proceedings ArticleDOI
Forecasting Fine-Grained Air Quality Based on Big Data
TL;DR: This paper forecasts the reading of an air quality monitoring station over the next 48 hours, using a data-driven method that considers current meteorological data, weather forecasts, and air quality data of the station and that of other stations within a few hundred kilometers.
Journal ArticleDOI
Predicting citywide crowd flows using deep spatio-temporal residual networks
TL;DR: Zhang et al. as mentioned in this paper proposed a deep learning-based approach, called ST-ResNet, to collectively forecast two types of crowd flows (i.e. inflow and outflow) in each and every region of a city.
Journal ArticleDOI
A rough sets based characteristic relation approach for dynamic attribute generalization in data mining
TL;DR: An attribute generalization and its relation to feature selection and feature extraction are discussed and a new approach for incrementally updating approximations of a concept is presented under the characteristic relation-based rough sets.
Posted Content
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation.
TL;DR: Experimental results demonstrate that the UniVL can learn strong video-text representation and achieves state-of-the-art results on five downstream tasks.
Proceedings ArticleDOI
Deep Distributed Fusion Network for Air Quality Prediction
TL;DR: A deep neural network (DNN)-based approach, which consists of a spatial transformation component and a deep distributed fusion network, to predict the air quality of next 48 hours for each monitoring station, considering air quality data, meteorology data, and weather forecast data.