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Umeå University
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Staff photo Lili Jiang

Lili Jiang

Research group of Deep Data Mining.  Working on text understanding, machine learning based privacy preservation, information retrieval.   https://people.cs.umu.se/ljiang/

Contact

E-mail
lili.jiang@umu.se
Phone
+46 90 786 58 27

Works at

Affiliation
Associate professor at Department of Computing Science
Location
Naturvetarhuset, Umeå universitet, NAT.B2.212 Umeå universitet, 901 87 Umeå

Doctoral degree in computer science. Expertise in data mining, information retrieval, data federation, machine learning based privacy preservation, and natural language processing. Former research scientist at NEC Europe Ltd., post-doc researcher at the Max Planck Institute for Informatics in Germany.

Loves middle/long distance running, road bike, climbing, and hiking. Personal marathon best record 3h19m27s in Berlin marathon 2013.

2020
A Web-Based Platform for Mining and Ranking Association Rules
ECIR 2020: Advances in Information Retrieval, Springer 2020 : 443-448
Ait-Mlouk, Addi; Jiang, Lili
2020
KBot: a Knowledge graph based chatBot for natural language understanding over linked data
IEEE Access, IEEE 2020, Vol. 8 : 149220-149230
Ait-Mlouk, Addi; Jiang, Lili
2020
WINFRA: A Web-Based Platform for Semantic Data Retrieval and Data Analytics
Mathematics, MDPI 2020, Vol. 8, (11)
Ait-Mlouk, Addi; Vu, Xuan-Son; Jiang, Lili
2020
Privacy-Preserving Visual Content Tagging using Graph Transformer Networks
Proceedings of the 28th ACM International Conference on Multimedia (MM ’20), ACM Digital Library 2020 : 1-9
Vu, Xuan-Son; Le, Duc-Trong; Edlund, Christoffer; et al.
2019
Graph-based Interactive Data Federation System for Heterogeneous Data Retrieval and Analytics
Proceedings of The World Wide Web Conference WWW 2019, New York, NY, USA: ACM Digital Library 2019 : 3595-3599
Vu, Xuan-Son; Ait-Mlouk, Addi; Elmroth, Erik; et al.
2019
Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
Proceedings of the 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2019
Vu, Xuan-Son; Santra, Abhishek; Chakravarthy, Sharma; et al.
2019
dpUGC: Learn Differentially Private Representation for User Generated Contents
Proceedings of the 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2019
Vu, Xuan-Son; Tran, Son N.; Jiang, Lili
2019
ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Down Stream Task
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), Incoma Ltd. 2019 : 1285-1294
Vu, Xuan-Son; Vu, Thanh; Tran, Son N.; et al.
2019
Microarray Missing Value Imputation: A Regularized Local Learning Method
IEEE/ACM Transactions on Computational Biology & Bioinformatics, IEEE 2019, Vol. 16, (3) : 980-993
Wang, Aiguo; Chen, Ye; An, Ning; et al.
2018
Lexical-semantic resources: yet powerful resources for automatic personality classification
Proceedings of the 9th Global WordNet Conference (GWC 2018), Singapore: Nanyang Technological University (NTU) 2018 : 173-182
Vu, Xuan-Son; Flekova, Lucie; Jiang, Lili; et al.
2018
Self-adaptive Privacy Concern Detection for User-generated Content
Proceedings of the 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2018
Vu, Xuan-Son; Jiang, Lili
2017
The cookie recipe: Untangling the use of cookies in the wild
TMA Conference 2017: Proceedings of the 1st Network Traffic Measurement and Analysis Conference
Gonzalez, Roberto; Jiang, Lili; Ahmed, Mohamed; et al.
2017
Personality-based Knowledge Extraction for Privacy-preserving Data Analysis
K-CAP 2017: Proceedings of the Knowledge Capture Conference
Vu, Xuan-Son; Jiang, Lili; Brändström, Anders; et al.
2016
A global learning with local preservation method for microarray data imputation
Computers in Biology and Medicine, Elsevier 2016, Vol. 77 : 76-89
Chen, Ye; Wang, Aiguo; Ding, Huitong; et al.
Multimodal Review Generation with Privacy and Fairness Awareness
Vu, Xuan-Son; Nguyen, Thanh-Son; Le, Duc-Trong; et al.
View publications in DiVA

Machine Learning (7.5hp)