Lili Jiang

Docent, Associate professor

Group Coordinator, Deep Data Mining Group (DDM)
Department of Computing Science
Umeå University
SE-901 87 Umeå
Sweden

Office: MIT-huset, Umeå universitet, MIT.E.240 campus maps
Email: firstname.lastname[at]cs[dot]umu[dot]se
Phone: +46 (0) 90 786 5827

News

!!! A Postdoc position is open: we are seeking a postdoctoral researcher in Computer Science with a focus on AI trustworthiness modeling in human-robot interactions. It is part of the newly funded EU project XCAVE. Full-time employment for three years starts in May 2025 or by agreement. The deadline for applications is January 31, 2025. More information can be found here.

Join us in our AITrust workshop affiliated with WASH-HS 2024 on 19 November in Gothenburg. We're very happy to invite you to submit one-page abstract. The workshop is a cross-disciplinary forum for advancing the designing, developing and deploying of reliable and trustworthy AI applications. The workshop is organized within a VR research environment project Grandma Karl is 27 years old, WASP Media\& Language, and STINT Projects.

August 2024: Congratulations! Glad to be partner of the newly funded project about knowledge graph-enhanced generative intelligent ICU delirium decision support system, coordinated by Capital Medical University in China and funded by the NSFC.(2025.01-2028.12)

July 2024: Congratulations! The EU HORIZON-CL4-2024-DIGITAL-EMERGING-01 project XSCAVE (Explainable, Safe, Contact-Aware Planning and Control for Heavy Machinery Manipulation and Navigation) was selected for granted. Department of Physics and Department of Computing Science from Umeå Universiy will participant. We will soon open a postdoc (36 months) in cs and 1-2 PhD students (48 months) in phyics.

[position filled] Welcome to apply a newly opened PhD position in Department of Computing Science, Umeå University in Sweden, with focus on trustworthy AI-empowered healthcare solutions. Deadline June 5th, 2023. Apply here

We are orgnaizng a workshop on Big Data and Machine Learning with Privacy Enhancing Tech on July 17 in conjunction with the IEEE Big Data Service Conference(July 17-20 | Athens, Greece). Very welcome to submit a draft (8-page full research paper or 5-page short research papers/demo papers, or 2-page posters). All accepted papers will be published by IEEE Computer Society Press (EI‐Index) and included in IEEE Digital Library. Deadline is June 1st, 2023. Submit here

April 19,2023: We are opening a new PhD position in Computing Science with focus on trustworthy AI-empowered healthcare solutions, the official advertisemnt for application will come in a few days.

December 2022: Congratulations! The HORIZON-HLTH-2022-TOOL-12-two-stage EU project COMFORT (COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care) was selecte for granted. Umeå University will lead WP5.

March 2022: Congratulations! The H2020 EU project AEQUITAS (Assessment and engineering of equitable, unbiased, impartial, and trustworthy AI systems) was selected for granted, Umeå University researchers include Virginia Dignum, Andrea AlerTubella, Lili Jiang

Jan. 2022: Congratulations Dong Wang on his PhD disertation: (How can data science contribute to a greener world?)

September 2021: Congratulations Sule and Daniel, for our paper "Context-based Image Explanations for Deep Neural Networks" was accepted by the journal (Image and Vision Computing) 2021.

April 2021: Congratulations Dong and co-authors, for our paper "A machine learning framework to improve effluent quality control in wastewater treatment plants" was accepted by the journal (Science of the Total Environment) 2021.

March 2021: Congratulations Sule for our paper "Visual Explanations for DNNs with Contextual Importance" was accepted by the International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, 2021.

Feb.2021: Our project “Analysis and Prediction via Multilayer Graph-Based Learning and Inferences with a Focus on Pandemics” got funded by STINT Mobility Grants for Internationalisation programme, led by me (PI in Sweden) and Prof. Sharma Chakravarthy from The University of Texas at Arlington (PI in US).

Nov. 2020: Congratulations Addi, for our paper "WINFRA: A Web-based Platform for Semantic Data Retrieval and Data Analytics" was accepted by the journal Mathematics (Special Issue "Applied Data Analytics"), 2020.

Nov.2020: Congratulations to the project "Climate-AI-infection-REsponse (CLAIRE)" got funded by Vinnova and Formas, led by professor Joacim Rocklöv at Department of Public Health and Clinical Medicine, Umeå University. We are kicking-off.

Oct.2020: Our competition proposal on Multimodal Emotion Recognition on Comics Scenes (EmoRecCom) was accepted by ICDAR 2021. Website here. Collaborating with researchers from Laboratoire Informatique, Image et Interaction (L3i), La Rochelle Université in France. Welcome to register and participant.

Oct. 2020: Xuan-Son Vu is going to have his PhD defense entitled " Privacy-Guardian: The Vital Need in Machine Learning with Big Data" on October 20. University news about the defense can be seen here

Oct.2020: Congratulations Xuan-Son (as well as our co-authors Thanh-Son Nguyen and Duc-Trong Le) for our paper "Multimodal Review Generation with Privacy and Fairness Awareness" was accepted by the conference (COLING ), 2020.

August 2020: Congratulations Xuan-Son, for our paper "Privacy-Preserving Visual Content Tagging using Graph Transformer Networks" was accepted by the conference ACM MM (ACM Multimedia) 2020.

August 2020: Congratulations Addi, for our paper "KBot: a Knowledge graph based chatBot for natural language understanding over linked data" was accepted by the journal ACM IEEE, 2020.

Research Interests

My research interest is knowledge harvesting through text mining, information retrieval, natural language processing, machine learning, data federation, and privacy preservation, especially on the following topics:
  • Data science (information extraction, data federation)
  • Machine learning
  • AI trustworthiness (privacy, fairness)
  • E-discovery:entity alias discovery in the Web/Enterprise
  • Crowd sourcing
  • Entity resolution/linking/Web people name disambiguation
  • Online social network mining

Selected Publications

Stoped updating here, please check google scholar.
  • Dong Wang, Therese Enlund, Johan Trygg, Mats Tysklind and Lili Jiang
    Toward Delicate Anomaly Detection of Energy Consumption for Buildings: Enhance the Performance From Two Levels
    IEEE Access, vol. 10, pp. 31649-31659, 2022, doi: 10.1109/ACCESS.2022.3160170.
  • Dong Wang, Sven Thunéll, Ulrika Lindberg, Lili Jiang, Johan Trygg, Mats Tysklind
    Towards better process management in wastewater treatment plants: process analytics based on SHAP values for tree-based machine learning methods.
    Journal of Environmental Management, 301 (2022) 113941.
  • Sule Anjomshoae, Daniel Omeiza, Lili Jiang
    Context-based Image Explanations for Deep Neural Networks.
    Image and Vision Computing, 2021.
  • Nhu-Van Nguyen, Xuan-Son Vu, Christophe Rigaud, Lili Jiang, Jean-Christophe Buri
    ICDAR2021 Competition on Multimodal Emotion Recognition on Comics Scene
    In: Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR), 2021.
  • S. Luan, Z. Gu, L. Freidovich, L. Jiang and Q. Zhao
    Out-Of-Distribution Detection for Deep Neural Networks with Isolation Forest and Local Outlier Factor
    IEEE Access, doi: 10.1109/ACCESS.2021.3108451.
  • Dong Wang, Sven Thunéll, Ulrika Lindberg, Lili Jiang, Johan Trygg, Mats Tysklind, Nabil Souihi
    A machine learning framework to improve effluent quality control in wastewater treatment plants.
    Science of the Total Environment, 2021.
  • Sule Anjomshoae, Lili Jiang, Kary Främling
    Visual Explanations for DNNs with Contextual Importance.
    International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems,(EXTRAAMAS) 2021.
  • Addi Ait-Mlouk, Xuan-Son Vu, Lili Jiang
    WINFRA: A Web-based Platform for Semantic Data Retrieval and Data Analytics
    Mathematics (special Issue "Applied Data Analytics"), 2020, 8(11).
  • Xuan-Son, Thanh-Son Nguyen, Duc-Trong Le, Lili Jiang
    Multimodal Review Generation with Privacy and Fairness Awareness
    Proceedings of The 28th International Conference on Computational Linguistics (COLING ), 2020.
  • Xuan-Son Vu, Duc-Trong Le, Christoffer Edlund, Lili Jiang, Hoang Nguyen
    Privacy-Preserving Visual Content Tagging using Graph Transformer Networks
    Proceedings of the 28th ACM International Conference on Multimedia (ACM MM), 2020.
  • Addi Ait-Mlouk, Lili Jiang
    KBot: a Knowledge graph based chatBot for natural language understanding over linked data
    IEEE Access, 2020.
  • Addi Ait-Mlouk and Lili Jiang
    A Web-based Platform for Mining and Ranking Association Rules
    Proceedings of the 42nd European Conference on Information Retrieval(ECIR), 2020.
  • Xuan-Son Vu, Thanh Vu, Son N. Tran, Lili Jiang
    ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream task.
    Proceedings of Recent Advacnes in Natural Language Processing (RANLP), 2019.
  • Xuan-Son Vu, Addi Ait-Mlouk, Erik Elmroth, Lili Jiang
    Graph-based Interactive Data Federation System for Heterogeneous Data Retrieval and Analytics
    The Web Conference (WWW), 2019
  • Xuan-Son Vu, Son Tran and Lili Jiang
    dpUGC: Learn Differentially Private Representationfor User Generated Contents
    CICLing 2019, Springer LNCS 2019.(3rd place for best paper awards)
  • Xuan-Son Vu, Abhishek Santra, Sharma Chakravarthy and Lili Jiang
    Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
    In Proceedings of International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2019.
  • Xuan-Son Vu and Lili Jiang
    Self-adaptive Privacy Concern Detection for User-generated Content (Best student paper award)
    In Proceedings of International Conference on Computational Linguistics and Intelligent Text Processing (CICLing),2018.
  • Xuan-Son Vu, Lucie Flekova, Lili Jiang and Iryna Gurevych
    Lexical-semantic resources: yet powerful resources for automatic personality classification
    In Proceedings of the 9th Global WordNet Conference (GWC), 2018.
  • Lili Jiang. Entity Markup for Knowledge Base Population.   PDF
    In Proceedings of International Conference on Big Data Analytics (BDA), 2017.
  • Xuan-Son Vu, Lili Jiang, Anders Brandstrom, and Erik Elmroth
    Personality-Based Knowledge Extraction for Privacy-preserving Data Analysis.    PDF
    In Proceedings of The Ninth International Conference on Knowledge Capture (K-CAP) 2017.
  • Roberto Gonzalez, Lili Jiang, Mohamed Ahmed, Miriam Marciel, Ruben Cuevas, Hassan Metwalley, Saverio Niccolini
    The cookie recipe: Untangling the use of cookies in the wild
    In Proceedings of new Network Traffic Measurement and Analysis Conference (TMA) 2017.
  • Chen Y, Wang A, Ding H, Que X, Li Y, An N, Jiang L
    A global learning with local preservation method for microarray data imputation
    Computers in Biology and Medicine. Aug 5;77:76-89. 2016.
  • Lizhen Qu, Yi Zhang, Rui Wang, Lili Jiang, Rainer Gemulla, Gerhard Weikum
    Senti-LSSVM:Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM    PDF
    Transactions of the Association for Computational Linguistics (TACL), 2014.
  • Ning An , Lili Jiang, Jianyong Wang, Ping Luo, Min Wang , and Bing Nan Li
    Toward detection of aliases without string similarity    PDF
    Information Science, 2014.
  • Lili Jiang, Yafang Wang, Johannes Hoffart, and Gerhard Weikum
    Crowdsourced Entity Markup    PDF
    The International Semantic Web Conference (CrowdSem) at ISWC, 2013.
  • Lili Jiang, Ping Luo, Jianyong Wang, Yuhong Xiong, Binduan Lin, Min Wang , and Ning An
    GRIAS: an Entity-Relation Graph based Framework for Discovering Entity Aliases   PDF
    The 13th IEEE International Conference on Data Mining (ICDM), 2013.
  • Yafang Wang, Lili Jiang, Johannes Hoffart, and Gerhard Weikum
    YaLi: a Crowdsourcing Plug-In for NERD   PDF
    The 36th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR), 2013.
  • Jianhua Yin and Lili Jiang
    CWePS: Chinese Web People Search   PDF
    The 14th International Conference on Web-Age Information Management (WAIM), 2013.
  • Lili Jiang, Jianyong Wang, Ping Luo, Ning An , Min Wang
    Towards Alias Detection Without String Similarity: an Active Learning based Approach    PDF
    The 35th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR), 2012.
  • Lili Jiang, Wei Shen, Jianyong Wang, Ning An
    GRAPE: A System for Disambiguating and Tagging People Names in Web Search    PDF
    The 19th International World Wide Web Conference (WWW), 2010.
  • Lili Jiang, Jianyong Wang, Ning An,Shengyuan Wang, Jian Zhan, Lian Li
    GRAPE: A Graph-Based Framework for Disambiguating People Appearances in Web Search    PDF
    The Internatinal Conference on Data Mining (ICDM). 2009.
  • Lili Jiang, Jianyong Wang, Ning An, Shengyuan Wang, Jian Zhan, Lian Li
    Two Birds with One Stone: A Graph-based Framework for Disambiguating and Tagging People Names in Web Search    PDF
    The 18th International World Wide Web Conference(WWW). 2009.
  • Lili Jiang, Jian Zhan, Lian Li, Changxian Shi, Ning An
    Utilizing User Behaviors with Semantic Metadata
    The 5th International Conference on Information Technology: New Generations(ITNG), April 2008.
  • Changxian Shi, Jian Zhan, Lian Li, Lili Jiang
    A Knowledge Construction System Design Based on Knowledge Grid [J]
    Computer Engineering and Science 2007, 10(29): 148-150.

Patents

  • Mathias Niepert, Lili Jiang, Mohamed Ahmed. Privacy-aware in-network personalization system. US10198753B2.
  • Roberto Gonzalez Sanchez, Miriam Marciel, Lili Jiang. Method and system for preserving privacy in an http communication between a client and a server. WO2017167391A1

Projects

  • The EU HORIZON-CL4-2024-DIGITAL-EMERGING-01 project XSCAVE (Explainable, Safe, Contact-Aware Planning and Control for Heavy Machinery Manipulation and Navigation) (2024-2027)
  • The HORIZON-HLTH-2022-TOOL-12-two-stage EU project COMFORT (COMputational Models FOR patienT stratification in urologic cancers - Creating robust and trustworthy multimodal AI for health care) (2023-2027)
  • Horizon Europe Framework Programme: AEQUITAS-Assessment And Engineering Of Equitable, Unbiased, Impartial And Trustworthy AI Systems (2022-2025)
  • STINT Mobility Grants for Internationalisation programme funded project “Analysis and Prediction via Multilayer Graph-Based Learning and Inferences with a Focus on Pandemics" (2021-2024)
  • Vinnova and Formas funded Porject “Climate-AI-infection-Response (CLAIRE)” in the program of AI in the service of climate" (2020-2023)
  • University funded project of Privacy-aware Data Federation on Heterogeneous Registry Data (2016-2021)
  • Faculty grant for Machine Learning Development Platform (Frank Drewes, Lili Jiang, Adam Dahlgren Lindström, Xuan-Son VU, 2019-)
  • STINT Initiation Project “Multilayer Networks Approach to Community Detection in Heterogeneous Personal Data” for one year (2018)
  • Cookie Mining for Online Advertisement concerning Privacy Preservation (2015-2016)
  • Entity Markup combining Structured and Unstructured Data (2015)
  • Crowdsourcing-based Entity Markup (2012-2014)
  • E-Discovey: Scalable Graph Mining and Indexing Methods for Entity Extraction, Relationship Mining, and Tagging from Heterogeneous Data (2009–2011)
  • Research on the Technologies for Chinese Web (2011)
  • People Name Disambiguation and Web People Search (2009-2010)

PhD students

Alumn

Master Thesis Supervision

Deep Data Mining Group has been working on AI-enhanced knowledge harvesting via heterogeneous data analytics & federation by applying the techniques of text mining, information retrieval, natural language processing, machine learning, and differential privacy. The main research topic are data driven and application-oriented such as entity-based social network analysis (e.g., sentiment, emotions, political view etc.), personal privacy analysis, and ontology-based knowledge graph construction etc. Additionally, the group has several connections to industry and academia who are interested to co-supervise master thesis projects, where we can conduct some interesting AI related interdisciplinary research (e.g., Covid pandemic event tracking and inference, medical screening, energy consumption and anomaly prediction, genetics&healthcare etc.). We are welcome for open discussion for a suitable master thesis project plan. Supervised/ing master thesis project see below:
  • André Arnqvist: Evaluating Fail-over and Recovery in Replicated SQL Databases, 2021 Spring
  • Jesper Hellgren: An Evaluation of Isolation versus Availability in Distributed Transactions, 2021 Spring
  • Usman Ahmed: Vertigo Classifcaiton using Neural Network, 2020 Autumn
  • Marzieh Farahani: Anomaly Detection on Gas Turbine Time-series' Data Using Deep LSTM-Autoencoder Approach, 2020 Autumn
  • Tobias Englund: Decentralization for power of attorneys in line with GDPR, 2020 Spring
  • Nils Karlsson: Techniques for GDPR compliant decentralized communication, 2020 Spring
  • Yohannes Samrawit and Bihil Takele: Research on Differential Privacy and Case Studies, 2016 Autumn
  • User Query Understanding in Search System
  • Personal Information Analysis (e.g., social network data)
  • Privacy Preservation Machine Learning (e.g., differential privacy)

Teaching

  • Machine Learning (every spring since 2018)
  • Database System Principles (six lectures in spring/fall 2017 and fall 2018)
  • Computing Science Research Methodology, Publication and Presentation Techniques. (PhD course, since 2021)

Experience

Awards

  • Australian Endeavour Fellowship, Australian Government, Department of Education, 2015
  • Award of Student Travel Grant & Donald B. Crouch Travel Grant, SIGIR, 2012
  • Rank Awards respectively in ShangHai,Dongying,Lanzhou and Hengshui International Marathons, 2011/2012
  • Excellent postgraduate student scholarship, Lanzhou University, 2009
  • Apple Inc. WWDC Student scholarship, 2007
  • Excellent graduate student award of Lanzhou University, 2005 (top 10%)
  • Thrice undergraduate scholarship of Lanzhou University, 2002-2004
  • The national scholarship of China, 2002

Commission of Trust

  • Chair of the Council of Doctoral Education(CODE), Department of Computing Science, Umeå University
  • Program council in Master's program in AI, CS Department, Umeå University
  • Reference group member for Vinnova project on Privacy-preserving Machine Learning with Blockchain (Uppsala University)
  • Program Committee membership, 24th European Conference on Artificial Intelligence(ECAI), 2020
  • Senior programme committee membership of IJCAI-PRICAI 2020, IJCAI 2021, CIKM 2022/2023
  • Session chair of ICDM (International Conference on Data Mining), 2020
  • Program Committee membership, the AAAI Conference on Artificial Intelligence(AAAI), 2020-2021
  • Program Committee membership of the conference on Web Information Systems Engineering (WISE) 2015, 2016, 2018, 2021
  • Program Committee membership, the International Conference on Data Mining(ICDM), 2019-2020
  • Program Committee membership, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML-PKDD), 2020
  • Program Committee membership, 19th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), 2017-18
  • Program Committee membership, The European Conference on Advances in Databases and Information Systems(ADBIS), 2017, 2019
  • Program Committee membership, ACM International Conference on Information and Knowledge Management (CIKM), 2016
  • Program Committee membership of Application track, The 3rd IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016
  • Program Committee membership of DB track, ACM International Conference on Information and Knowledge Management (CIKM), 2014, 2015
  • Reviewer of Australasian Database Conference (ADC) 2015
  • Program Committee membership of Phd Symposium at the International World Wide Web Conference (WWW) 2014
  • Program Committee membership of the International Conference on Web-Age Information Management (WAIM)2013, 2014, 2015, 2016
  • Program Committee membership of the 6th Workshop for Ph.D. Students at CIKM (PIKM), 2013
  • Reviewer of the IEEE Transactions on Kowledge and Data Engineering (TKDE),2012, 2014, 2015, Journal Of Network and Computer Applications(JNCA) 2016, Journal of Information Systems(IS) 2018
  • Reviewer of IJCAI 2019 Survey track
  • External Reviewer of VLDB, SIGKDD, ICDE, WWW, ICDM , 2008-2011
  • Organizing chair of the 6th Swedish Workshop on Data Science ( SweDS2018) in Umeå University, Umeå, Sweden on November 20-21, 2018

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