Jianqiang Li

发表

Multi-dimensional motif discovery in air pollution data

Jianqiang Li, Rentao Gu, Bo Liu, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Threatened Species List of China’s Higher Plants

Jianqiang Li, QIN-WEN Lin, HONG-BO Jiang, 2017 .

A Query-specific Reasoning Method for Inconsistent and Uncertain Ontology

Jianqiang Li, Bo Liu, O. Yuzhao, 2022 .

Evaluating the endangerment status of China’s angiosperms through the red list assessment

Jianqiang Li, QIN-WEN Lin, HONG-BO Jiang, 2017 .

Comparison of algorithms for road surface temperature prediction

Y. Dong, Bo Liu, Jianqiang Li, 2018, International Journal of Crowd Science.

Automatic text summary generation method based on hybrid model DNM

Bo Liu, Jianqiang Li, Yong Li, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Exploiting semantic resources for large scale text categorization

Jianqiang Li, Bo Liu, Yu Zhao, 2012, Journal of Intelligent Information Systems.

A path-based approach for web page retrieval

H. Garcia-Molina, Jianqiang Li, Yu Zhao, 2012, World Wide Web.

PathRank: Web Page Retrieval with Navigation Path

Jianqiang Li, Yu Zhao, Jianqiang Li, 2009, ECIR.

Fully Automatic Text Categorization by Exploiting WordNet

Jianqiang Li, Bo Liu, Yu Zhao, 2009, AIRS.

Discovering multi‐dimensional motifs from multi‐dimensional time series for air pollution control

Rentao Gu, Bo Liu, Jianqiang Li, 2020, Concurr. Comput. Pract. Exp..

Efficient Motif Discovery for Large-Scale Time Series in Healthcare

MengChu Zhou, Cheng Chen, Jianqiang Li, 2015, IEEE Transactions on Industrial Informatics.

A Method for Mining Granger Causality Relationship on Atmospheric Visibility

Rentao Gu, Guangzhi Qu, Jianlei Lang, 2021, ACM Trans. Knowl. Discov. Data.

Granger-Causality Mining in Atmospheric Visibility Based on Deep Learning

Bo Liu, Jianlei Lang, Rentao Gu, 2019 .

Using BP nerual networks for the simulation of energy consumption

Jianqiang Li, Lu Yu, Jianqiang Li, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A Sequence-to-Sequence Air Quality Predictor Based on the n-Step Recurrent Prediction

Jianqiang Li, Rentao Gu, Yong Li, 2019, IEEE Access.

Comparison of Different Machine Learning Methods to Forecast Air Quality Index

Rentao Gu, B. Liu, Jianqiang Li, 2018, Lecture Notes in Electrical Engineering.

Forecasting PM2.5 Concentration Using Spatio-Temporal Extreme Learning Machine

Jianqiang Li, Yong Li, Bo Liu, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Repairing and reasoning with inconsistent and uncertain ontologies

Jianqiang Li, Bo Liu, Yu Zhao, 2012, Adv. Eng. Softw..

A multi-label classification model for full slice brain computerised tomography image

Jianqiang Li, Bo Liu, Yan Pei, 2020, BMC Bioinformatics.

Retyping of triple‐negative breast cancer based on clustering method

Jianqiang Li, Fei Wang, Bo Liu, 2020, Expert Syst. J. Knowl. Eng..

Low-pass U-Net: a segmentation method to improve strip steel defect detection

Jianqiang Li, Yelong Zhao, bo liu, 2022, Measurement Science and Technology.

Semi-supervised learning in large scale text categorization

Rui Mao, Jianqiang Li, Bo Liu, 2017, Journal of Shanghai Jiaotong University (Science).

A Location-Based Approach for Web Service QoS Prediction via Multivariate Time Series Forecast

Jianqiang Li, Bo Liu, Yong Li, 2020, 2020 IEEE 11th International Conference on Software Engineering and Service Science (ICSESS).

Exploiting semantic linkages among multiple sources for semantic information retrieval

Jianqiang Li, Yuliang Shi, Bo Liu, 2014, Enterp. Inf. Syst..

Building biomedical pipelines for large-scale sequencing analysis based on Galaxy and Cloud

Jianqiang Li, Bo Liu, Chunchen Liu, 2013, The 6th 2013 Biomedical Engineering International Conference.

Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses

Borja Sotomayor, Jianqiang Li, Ian T. Foster, 2014, J. Biomed. Informatics.

Enforcing Differential Privacy for Shared Collaborative Filtering

Jianqiang Li, Qing Wang, Jing Bi, 2017, IEEE Access.

A multimodal sentiment recognition method based on attention mechanism

Jianqiang Li, Bo Liu, Yan Pei, 2022, AICCC.

A top-down approach for approximate data anonymisation

Jianqiang Li, Bo Liu, Ji-Jiang Yang, 2013, Enterp. Inf. Syst..

A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5: A Case Study of Beijing

Guangzhi Qu, Jianlei Lang, Yong Li, 2021, IEEE Transactions on Computational Social Systems.