Jian-Yun Nie
- Professeur titulaire
-
Faculté des arts et des sciences - Département d'informatique et de recherche opérationnelle
André-Aisenstadt office 2241
Courriels
nie@iro.umontreal.ca (Travail)
Télécopieur : 514 343-5834
Web : Site web de l’unité de recherche
Web : Autre site web
Education Programs
- Fundamental and Applied Sciences Information and Communication Technologies
- Fundamental and Applied Sciences Information and Communication Technologies
- Fundamental and Applied Sciences
- Fundamental and Applied Sciences
- Fundamental and Applied Sciences
- Fundamental and Applied Sciences
- Fundamental and Applied Sciences Health Sciences Life Sciences
- Fundamental and Applied Sciences Health Sciences Life Sciences
- Fundamental and Applied Sciences Information and Communication Technologies
- Fundamental and Applied Sciences Information and Communication Technologies
- Life Sciences Fundamental and Applied Sciences Health Sciences
Courses
- IFT3335 Intelligence artificielle : introduction
- IFT6255 Recherche d'information
Areas of Expertise
- Artificial intelligence
- Text mining
- Search engines
- Information retrieval
- Natural-language processing (NLP)
- Semantic Web
My research focuses on information retrieval and on Web search engines.
The goal is the improvement of the state of the art and the current practices in this field, through the development of novel information retrieval models, and by exploiting new data sources. These sources, such as user logs, Wikipedia entries and thesauri are put to use to expand, rewrite and otherwise reorganize user queries. My research interests also lie in taking into account the user’s various intentions in different application contexts.
To achieve this, we develop statistical methods to address the specific needs of information retrieval. My research also include multilingual aspects, i.e. successfully finding relevant documents in a language different from that of the query. The methods developed can be applied in various domains: medical information retrieval, e-commerce, opinion analysis on the Web, etc.
Student supervision Expand all Collapse all
Cycle : Master's
Grade : M. Sc.
Cycle : Master's
Grade : M.A.
Research projects Expand all Collapse all
Canada Research Chair in natural language information processing and applications Projet de recherche au Canada / 2023 - 2030
Computing servers for NLP applications Projet de recherche au Canada / 2022 - 2026
Axel : Robot compagnon pour contrer l’isolement social des aînées Projet de recherche au Canada / 2022 - 2025
Implementing Smart Cities Interventions to Build Healthy Cities (SMART) Training Platform. Projet de recherche au Canada / 2021 - 2025
Deep information retrieval diving into information granularity and abstraction Projet de recherche au Canada / 2018 - 2025
Opérationnalisation de l’analyse automatique de commentaire dans le cadre d’un outils d’aide à la décision pédagogique. Projet de recherche au Canada / 2023 - 2023
Framework for Analyzing Eating Habits Using Big Data from Mobile Weight Loss Applications: Tracing the Multiscale Dynamics Of Eating for Personalized Adaptive Nudge Support / A Machine Learning Framework for Analyzing Eating Habits Using Big Data from Projet de recherche au Canada / 2022 - 2023
Programme de démarrage de projets de recherche collaborative avec les membres industriels d'IVADO - Myelin: l'intelligence collective au service de l'autisme Projet de recherche au Canada / 2021 - 2022
Assistance tools to build taxonomy of skills and to search for experts Projet de recherche au Canada / 2021 - 2022
Myelin:l'intelligence collective au service de l'autisme Apogée Canada Fonds d’excellence en recherche Programme de démarrage de projets de recherche collaborative avec Myelin Projet de recherche au Canada / 2021 - 2022
Knowledge synthesis for mechanistic and targeted in-person and digital social-connection intervention for wellness and resilience in older adults in pandemic context and beyon (COVID-19) Projet de recherche au Canada / 2020 - 2022
Framework for Analyzing Eating Habits Using Big Data from Mobile Weight Loss Applications: Tracing the Multiscale Dynamics Of Eating for Personalized Adaptive Nudge Support Projet de recherche au Canada / 2018 - 2022
Style Portfolios with Machine Learning Projet de recherche au Canada / 2021 - 2021
Knowledge extraction and organization to support question-answering Projet de recherche au Canada / 2021 - 2021
Supplément COVID-19 CRSNG_Deep information retrieval diving into information granularity and abstraction Projet de recherche au Canada / 2020 - 2021
Food Convergent Innovation Canada Start-Up: Developing data and methods to support the digital backbone of the agri-food system in the Covid19 context” Projet de recherche au Canada / 2020 - 2021
Deep information retrieval - diving into information granularity and abstraction Projet de recherche au Canada / 2020 - 2021
Koala Pro – Dossier intelligent Projet de recherche au Canada / 2020 - 2020
Knowledge-based inference for question answering and information retrieval Projet de recherche au Canada / 2018 - 2020
SEARCH INTELLIGENCE AS USERS EXPECT Projet de recherche au Canada / 2013 - 2019
Étude de faisabilité de l'utilisation des réseaux sociaux pour le monitorage polupationnel des facteurs de risques de maladies et comportements de santé chez les jeunes de Montréal Projet de recherche au Canada / 2017 - 2018
SEARCH INTELLIGENCE AS USERS EXPECT Projet de recherche au Canada / 2013 - 2017
ADAPTIVE AND EFFICIENT INFERENTIAL INFORMATION RETRIEVAL Projet de recherche au Canada / 2008 - 2014
ADAPTIVE AND EFFICIENT INFERENTIAL INFORMATION RETRIEVAL Projet de recherche au Canada / 2008 - 2013
EXPLOITING QUERY LOGS FOR USER-ADAPTIVE SEARCH Projet de recherche au Canada / 2008 - 2010
Publications Expand all Collapse all
Un livre sur la recherche d’information translinguistique :
Cross-Language Information Retrieval
Synthesis Lectures on Human Language Technologies
PDF disponible chez Morgan & Claypool Publishers
- Liana Ermakova, Lorraine Goeuriot, Josiane Mothe, Philippe Mulhem, Jian-Yun Nie, and Eric SanJuan. CLEF 2017 Microblog Cultural Contextualization Lab Overview, page 304–314. Springer International Publishing, Cham, 2017.
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- Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, and Ming Yue. Learning to Diversify Search Results via Subtopic Attention. , 2017.
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- Yiqun Liu, Jian-Yun Nie, and Yi Chang. Constructing click models for search users. Information Retrieval Journal, 20:1–3, 2017.
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- Zeyang Liu, Jiaxin Mao, Chao Wang, Qingyao Ai, Yiqun Liu, and Jian-Yun Nie. Enhancing click models with mouse movement information. Information Retrieval Journal, 20:53–80, 2017.
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- Kazutoshi Umemoto, Ruihua Song, Jian-Yun Nie, Xing Xie, Katsumi Tanaka, and Yong Rui. Search by Screenshots for Universal Article Clipping in Mobile Apps. ACM Transactions on Information Systems (TOIS), 35:34, 2017.
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- Vincent Claveau and Jian-Yun Nie. Recherche d’information et traitement automatique des langues: collaboration, synergie et convergence. Traitement Automatique des Langues, 56, 2016.
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- Romain Deveaud, Josiane Mothe, and Jian-Yun Nie. Learning to Rank System Configurations. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. ACM, ACM, 2016.
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- Xiaojie Liu, Jian-Yun Nie, and Alessandro Sordoni. Constraining word embeddings by prior knowledge–application to medical information retrieval, page 155–167. Springer International Publishing, 2016.
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- Yiqun Liu, Xiaohui Xie, Chao Wang, Jian-Yun Nie, Min Zhang, and Shaoping Ma. Time-Aware Click Model. ACM Transactions on Information Systems (TOIS), 35:16, 2016.
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- Ruihua Song, Dingquan Wang, Jian-Yun Nie, Ji-Rong Wen, and Yong Yu. Enhancing web search with queries of equivalent intents. Information Retrieval Journal, 19:573–593, 2016.
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- Ruihua Song, Kazutoshi Umemoto, Jian-Yun Nie, Xing Xie, Katsumi Tanaka, and Yong Rui. UniClip: Leveraging Web Search for Universal Clipping of Articles on Mobile. Data Science and Engineering, 1:101–113, 2016.
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- Zhifei Zhang, Jian-Yun Nie, and XUYAO Zhang. An ensemble method for binary classification of adverse drug reactions from social media. Proceedings of the Social Media Mining Shared Task Workshop at the Pacific Symposium on Biocomputing, 2016.
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- Sendong Zhao, Ting Liu, Sicheng Zhao, Yiheng Chen, and Jian-Yun Nie. Event causality extraction based on connectives analysis. Neurocomputing, 173:1943–1950, 2016.
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