Lili Jiang

Orcid: 0000-0002-7788-3986

Affiliations:
  • Umeå University, Department of Computing Sicence, Sweden
  • Max Planck Institute for Informatics, Saarbrücken, Germany (former)
  • Lanzhou University, China (PhD 2012)


According to our database1, Lili Jiang authored at least 41 papers between 2008 and 2024.

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Bibliography

2024
Few-shot nested named entity recognition.
Knowl. Based Syst., 2024

2023
Timing Performance Benchmarking of Out-of-Distribution Detection Algorithms.
J. Signal Process. Syst., December, 2023

Data Protection and Multi-Database Data-Driven Models.
Future Internet, March, 2023

Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data.
CoRR, 2023

Few-Shot Named Entity Recognition via Label-Attention Mechanism.
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Impact based fairness framework for socio-technical decision making.
Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

2022
Few-Shot Nested Named Entity Recognition.
CoRR, 2022

Toward Delicate Anomaly Detection of Energy Consumption for Buildings: Enhance the Performance From Two Levels.
IEEE Access, 2022

On the Effects of Data Protection on Multi-database Data-Driven Models.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022

SoBigDemicSys: A Social Media based Monitoring System for Emerging Pandemics with Big Data.
Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

2021
Context-based image explanations for deep neural networks.
Image Vis. Comput., 2021

Out-of-Distribution Detection for Deep Neural Networks With Isolation Forest and Local Outlier Factor.
IEEE Access, 2021

ICDAR 2021 Competition on Multimodal Emotion Recognition on Comics Scenes.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Visual Explanations for DNNs with Contextual Importance.
Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2021

2020
KBot: A Knowledge Graph Based ChatBot for Natural Language Understanding Over Linked Data.
IEEE Access, 2020

Privacy-Preserving Visual Content Tagging using Graph Transformer Networks.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

A Web-Based Platform for Mining and Ranking Association Rules.
Proceedings of the Advances in Information Retrieval, 2020

Multimodal Review Generation with Privacy and Fairness Awareness.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Microarray Missing Value Imputation: A Regularized Local Learning Method.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Generic Multilayer Network Data Analysis with the Fusion of Content and Structure.
CoRR, 2019

dpUGC: Learn Differentially Private Representation for User Generated Contents.
CoRR, 2019

ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings.
CoRR, 2019

Graph-based Interactive Data Federation System for Heterogeneous Data Retrieval and Analytics.
Proceedings of the World Wide Web Conference, 2019

ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

dpUGC: Learn Differentially Private Representation for User Generated Contents (Best Paper Award, Third Place, Shared).
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

2018
Lexical-semantic resources: yet powerful resources for automatic personality classification.
Proceedings of the 9th Global Wordnet Conference, 2018

Self-adaptive Privacy Concern Detection for User-Generated Content.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

2017
The cookie recipe: Untangling the use of cookies in the wild.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2017

Personality-based Knowledge Extraction for Privacy-preserving Data Analysis.
Proceedings of the Knowledge Capture Conference, 2017

Entity Markup for Knowledge Base Population.
Proceedings of the Big Data Analytics - 5th International Conference, 2017

2016
A global learning with local preservation method for microarray data imputation.
Comput. Biol. Medicine, 2016

2014
Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM.
Trans. Assoc. Comput. Linguistics, 2014

Toward detection of aliases without string similarity.
Inf. Sci., 2014

2013
YaLi: a crowdsourcing plug-in for NERD.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Crowdsourced Entity Markup.
Proceedings of the 1st International Workshop on Crowdsourcing the Semantic Web, 2013

GRIAS: An Entity-Relation Graph Based Framework for Discovering Entity Aliases.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Towards alias detection without string similarity: an active learning based approach.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2010
GRAPE: a system for disambiguating and tagging people names in web search.
Proceedings of the 19th International Conference on World Wide Web, 2010

2009
Two birds with one stone: a graph-based framework for disambiguating and tagging people names in web search.
Proceedings of the 18th International Conference on World Wide Web, 2009

GRAPE: A Graph-Based Framework for Disambiguating People Appearances in Web Search.
Proceedings of the ICDM 2009, 2009

2008
Utilizing User Behaviors with Semantic Metadata.
Proceedings of the Fifth International Conference on Information Technology: New Generations (ITNG 2008), 2008


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