"False"
Umeå University
printicon
Main menu hidden.

Lili Jiang

Research focus on fusing data science and artificial intelligence, AI trustworthiness (e.g., privacy, fairness).  Programme Director of the MSc programme in Computing Science. 

Research qualifications: Docent

Contact

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

Works at

Affiliation
Associate professor at Department of Computing Science Role: Director of studies
Location
MIT-huset, Umeå universitet, MIT.E.240 Umeå universitet, 901 87 Umeå

Homepage: https://people.cs.umu.se/ljiang/   

Doctoral degree in computer science. Expertise in data science, information retrieval, data federation, machine learning based AI trustworthiness (privacy, fairness), 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, hiking, skiing, and road bike. Personal marathon best record 3h19m27s in Berlin marathon 2013.

Impact based fairness framework for socio-technical decision making
Proceedings of the 1st workshop on fairness and bias in AIco-located with 26th european conference on artificial intelligence (ECAI 2023)
Brännström, Mattias; Jiang, Lili; Aler Tubella, Andrea; et al.
Data protection and multi-database data-driven models
Future Internet, MDPI 2023, Vol. 15, (3)
Jiang, Lili; Torra, Vicenç
Timing performance benchmarking of out-of-distribution detection algorithms
Journal of Signal Processing Systems
Luan, Siyu; Gu, Zonghua; Saremi, Amin; et al.
Few-shot named entity recognition via Label-Attention Mechanism
ICCAI '23: proceedings of the 2023 9th international conference on computing and artificial intelligence, Association for Computing Machinery (ACM) 2023 : 466-471
Pan, Yan; Yang, Jiaoyun; Ming, Hong; et al.
Self-adaptive privacy concern detection for user-generated content
Computational linguistics and intelligent text processing: 19th International Conference on CiCLing 2018, Hanoi, Vietnam, March 18-24, 2018Revised selected papers, part 1, Springer Science+Business Media B.V. 2023 : 153-167
Vu, Xuan-Son; Jiang, Lili
dpUGC: learn differentially private representation for user generated contents
Computational linguistics and intelligent text processing: 20th international conference, CICLing 2019, La Rochelle, France, April 7–13, 2019, revised selected papers, part I, Springer 2023 : 316-331
Vu, Xuan-Son; Tran, Son N.; Jiang, Lili
Proceedings of Umeå's 25th Student Conference in Computing Science (USCCS 2022)
Report / UMINF, 22.01
Jiang, Lili; Jonsson, Anna; Vanhée, Loïs
On the Effects of Data Protection on Multi-database Data-Driven Models
Integrated Uncertainty in Knowledge Modelling and Decision Making: 9th International Symposium, IUKM 2022, Ishikawa, Japan, March 18–19, 2022, Proceedings, Springer 2022 : 226-238
Jiang, Lili; Torra, Vicenç
SoBigDemicSys: a social media based monitoring system for emerging pandemics with big data
Proceedings - IEEE 8th International Conference on Big Data Computing Service and Applications, BigDataService 2022, IEEE Computer Society 2022 : 103-107
Tran, Tung Khanh; Vu, Xuan-Son; Jiang, Lili
Toward Delicate Anomaly Detection of Energy Consumption for Buildings: Enhance the Performance From Two Levels
IEEE Access, IEEE 2022, Vol. 10 : 31649-31659
Wang, Dong; Enlund, Therese; Trygg, Johan; et al.
Towards better process management in wastewater treatment plants: Process analytics based on SHAP values for tree-based machine learning methods
Journal of Environmental Management, Elsevier 2022, Vol. 301
Wang, Dong; Thunéll, Sven; Lindberg, Ulrika; et al.
Visual Explanations for DNNs with Contextual Importance
Explainable and Transparent AI and Multi-Agent Systems: Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3–7, 2021, Revised Selected Papers, Springer 2021 : 83-96
Anjomshoae, Sule; Jiang, Lili; Främling, Kary
Context-based image explanations for deep neural networks
Image and Vision Computing, Elsevier 2021, Vol. 116
Anjomshoae, Sule; Omeiza, Daniel; Jiang, Lili
Out-of-Distribution Detection for Deep Neural Networks with Isolation Forest and Local Outlier Factor
IEEE Access, Institute of Electrical and Electronics Engineers (IEEE) 2021, Vol. 9 : 132980-132989
Luan, Siyu; Gu, Zonghua; Freidovich, Leonid B.; et al.
ICDAR 2021 Competition on Multimodal Emotion Recognition on Comics Scenes
Document Analysis and Recognition – ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I, Springer 2021 : 767-782
Nguyen, Nhu-Van; Vu, Xuan-Son; Rigaud, Christophe; et al.
A machine learning framework to improve effluent quality control in wastewater treatment plants
Science of the Total Environment, Elsevier 2021, Vol. 784
Wang, Dong; Thunéll, Sven; Lindberg, Ulrika; et al.
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
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
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
Privacy-Preserving Visual Content Tagging using Graph Transformer Networks
Proceedings of the 28th ACM International Conference on Multimedia (MM ’20), ACM Digital Library 2020 : 2299-2307
Vu, Xuan-Son; Le, Duc-Trong; Edlund, Christoffer; et al.
Multimodal Review Generation with Privacy and Fairness Awareness
Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020, International Committee on Computational LinguisticsInternational Committee on Computational Linguistics 2020 : 414-425
Vu, Xuan-Son; Nguyen, Thanh-Son; Le, Duc-Trong; et al.
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.
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.
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.
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.
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.
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.
Entity markup for knowledge base population
Big data analytics: 5th international conference, BDA 2017, Hyderabad, India, December 12-15, 2017, proceedings, Springer 2017 : 71-89
Jiang, Lili
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.
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.
Towards delicate anomaly detection of energy consumption for buildings: enhance the performance from two levels
Wang, Dong; Enlund, Therese; Fors, Amanda; et al.
Investigation into causes of boiler failures in waste-to-energy plants with a coupled engineering and data mining solution
Wang, Dong; Jiang, Lili; Kjellander, Måns; et al.
View publications in DiVA

Machine Learning (7.5hp)

Computing Science Research Methodology, Publication and Presentation Techniques (7.5hp)