Jie Yang

According to our database, Jie Yang authored at least 88 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring LLMs as a Source of Targeted Synthetic Textual Data to Minimize High Confidence Misclassifications.

Philip Lippmann, Matthijs T. J. Spaan, Jie Yang

CoRR, 2024

Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks.

Aleksander Buszydlik, Karol Dobiczek, Michal Teodor Okon, Konrad Skublicki, Philip Lippmann, Jie Yang

CoRR, 2024

Centimeter-Level Indoor Visible Light Positioning.

Ran Zhu, Maxim Van den Abeele, Jona Beysens, Jie Yang, Qing Wang

IEEE Commun. Mag., 2024

MRHF: Multi-stage Retrieval and Hierarchical Fusion for Textbook Question Answering.

Peide Zhu, Zhen Wang, Manabu Okumura, Jie Yang

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023

Nessy: A Neuro-Symbolic System for Label Noise Reduction.

Alisa Smirnova, Jie Yang, Dingqi Yang, Philippe Cudré-Mauroux

IEEE Trans. Knowl. Data Eng., August, 2023

Human-in-the-Loop Rule Discovery for Micropost Event Detection.

Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux

IEEE Trans. Knowl. Data Eng., August, 2023

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation.

Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Streaming Graph Embeddings via Incremental Neighborhood Sketching.

Dingqi Yang, Bingqing Qu, Jie Yang, Liang Wang, Philippe Cudré-Mauroux

IEEE Trans. Knowl. Data Eng., May, 2023

Editorial: Human-centered AI: Crowd computing.

Jie Yang, Alessandro Bozzon, Ujwal Gadiraju, Matthew Lease

Frontiers Artif. Intell., February, 2023

Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation.

Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu

CoRR, 2023

ARTIST: ARTificial Intelligence for Simplified Text.

Lorenzo Corti, Jie Yang

CoRR, 2023

HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale.

Sepideh Mesbah, Ines Arous, Jie Yang, Alessandro Bozzon

Proceedings of the ACM Web Conference 2023, 2023

FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications.

Ran Zhu, Mingkun Yang, Jie Yang, Qing Wang

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality.

Shahin Sharifi Noorian, Sihang Qiu, Burcu Sayin, Agathe Balayn, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Value-Based Hybrid Intelligence.

Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati

Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Value-Aware Active Learning.

Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati

Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models.

Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs.

Agathe Balayn, Natasa Rikalo, Jie Yang, Alessandro Bozzon

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Rationale Trees: Towards a Formalization of Human Knowledge for Explainable Natural Language Processing.

Andrea Tocchetti, Jie Yang, Marco Brambilla

Proceedings of the 4th Italian Workshop on Explainable Artificial Intelligence co-located with 22nd International Conference of the Italian Association for Artificial Intelligence(AIxIA 2023), 2023

How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection.

Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, Jie Yang

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

"☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms.

Agathe Balayn, Mireia Yurrita, Jie Yang, Ujwal Gadiraju

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022.

Gianluca Demartini, Jie Yang, Shazia W. Sadiq

SIGIR Forum, December, 2022

LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks.

Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudré-Mauroux

IEEE Trans. Knowl. Data Eng., 2022

An Analysis of Music Perception Skills on Crowdsourcing Platforms.

Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, Alessandro Bozzon

Frontiers Artif. Intell., 2022

A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities.

Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, Mireia Yurrita, Philip Lippmann, Marco Brambilla, Jie Yang

CoRR, 2022

Rethinking and Recomputing the Value of ML Models.

Burcu Sayin, Fabio Casati, Andrea Passerini, Jie Yang, Xinyue Chen

CoRR, 2022

What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition.

Shahin Sharifi Noorian, Sihang Qiu, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game.

Agathe Balayn, Gaole He, Andrea Hu, Jie Yang, Ujwal Gadiraju

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling.

Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge.

Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju

Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

CHIME: Causal Human-in-the-Loop Model Explanations.

Shreyan Biswas, Lorenzo Corti, Stefan Buijsman, Jie Yang

Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

MOOC-Rec: Instructional Video Clip Recommendation for MOOC Forum Questions.

Peide Zhu, Claudia Hauff, Jie Yang

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Workshop on Human-in-the-loop Data Curation.

Gianluca Demartini, Jie Yang, Shazia W. Sadiq

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models?

Agathe Balayn, Natasa Rikalo, Christoph Lofi, Jie Yang, Alessandro Bozzon

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature.

Agathe Balayn, Jie Yang, Zoltán Szlávik, Alessandro Bozzon

ACM Trans. Soc. Comput., 2021

On the Value of ML Models.

Fabio Casati, Pierre-André Noël, Jie Yang

CoRR, 2021

Using Conversational Artificial Intelligence to Support Children's Search in the Classroom.

Garrett Allen, Jie Yang, Maria Soledad Pera, Ujwal Gadiraju

CoRR, 2021

The Science of Rejection: A Research Area for Human Computation.

Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati

CoRR, 2021

Demographic Biases of Crowd Workers in Key Opinion Leaders Finding.

Hossein A. Rahmani, Jie Yang

CoRR, 2021

A review and experimental analysis of active learning over crowdsourced data.

Burcu Sayin, Evgeny Krivosheev, Jie Yang, Andrea Passerini, Fabio Casati

Artif. Intell. Rev., 2021

What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis.

Agathe Balayn, Panagiotis Soilis, Christoph Lofi, Jie Yang, Alessandro Bozzon

Proceedings of the WWW '21: The Web Conference 2021, 2021

Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process.

Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux

Proceedings of the WWW '21: The Web Conference 2021, 2021

Through-Screen Visible Light Sensing Empowered by Embedded Deep Learning.

Hao Liu, Hanting Ye, Jie Yang, Qing Wang

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Crowd-Powered Hybrid Classification Services: Calibration is all you need.

Burcu Sayin, Evgeny Krivosheev, Jorge Ramírez, Fabio Casati, Ekaterina A. Taran, Veronika A. Malanina, Jie Yang

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations.

Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev

Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

Exploring the Music Perception Skills of Crowd Workers.

Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, Alessandro Bozzon

Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021

MARTA: Leveraging Human Rationales for Explainable Text Classification.

Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, Philippe Cudré-Mauroux

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation.

Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Web-to-Voice Transfer for Product Recommendation on Voice.

Rongting Zhang, Jie Yang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison.

Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

What Can Crowd Computing Do for the Next Generation of AI Systems?

Ujwal Gadiraju, Jie Yang

Proceedings of the Crowd Science Workshop: Remoteness, 2020

Structured Probabilistic End-to-End Learning from Crowds.

Zhijun Chen, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Xudong Liu, Jie Yang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

The Role of Attributes in Product Quality Comparisons.

Felipe Moraes, Jie Yang, Rongting Zhang, Vanessa Murdock

Proceedings of the CHIIR '20: Conference on Human Information Interaction and Retrieval, 2020

A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection.

Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Research commentary on recommendations with side information: A survey and research directions.

Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke

Electron. Commer. Res. Appl., 2019

Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data.

Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, Philippe Cudré-Mauroux

Proceedings of the World Wide Web Conference, 2019

Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach.

Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudré-Mauroux

Proceedings of the World Wide Web Conference, 2019

ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs.

Natalia Ostapuk, Jie Yang, Philippe Cudré-Mauroux

Proceedings of the World Wide Web Conference, 2019

Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content.

Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, Geert-Jan Houben

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation.

Guanliang Chen, Jie Yang, Dragan Gasevic

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data.

Achilleas Psyllidis, Jie Yang, Alessandro Bozzon

IEEE Access, 2018

Using Social Media for Attendees Density Estimation in City-Scale Events.

Vincent X. Gong, Jie Yang, Winnie Daamen, Alessandro Bozzon, Serge P. Hoogendoorn, Geert-Jan Houben

IEEE Access, 2018

Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa.

Jie Yang, Thomas Drake, Andreas C. Damianou, Yoelle Maarek

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Social Gamification in Enterprise Crowdsourcing.

Gregory Afentoulidis, Zoltán Szlávik, Jie Yang, Alessandro Bozzon

Proceedings of the 10th ACM Conference on Web Science, 2018

Recurrent knowledge graph embedding for effective recommendation.

Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

LearningQ: A Large-Scale Dataset for Educational Question Generation.

Guanliang Chen, Jie Yang, Claudia Hauff, Geert-Jan Houben

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

How Do Crowdworker Communities and Microtask Markets Influence Each Other? A Data-Driven Study on Amazon Mechanical Turk.

Jie Yang, Carlo van der Valk, Tobias Hoßfeld, Judith Redi, Alessandro Bozzon

Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018

2017

Crowd Knowledge Creation Acceleration.

Jie Yang

PhD thesis, 2017

On the Improvement of Quality and Reliability of Trust Cues in Micro-task Crowdsourcing (Position paper).

Jie Yang, Alessandro Bozzon

CoRR, 2017

CitRec 2017: International Workshop on Recommender Systems for Citizens.

Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Recommender systems for citizens: the CitRec'17 workshop manifesto.

Jie Yang, Iván Cantador, Diana Nurbakova, María E. Cortés-Cediel, Alessandro Bozzon

Proceedings of International Workshop on Citizens for Recommender Systems, 2017

MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation.

Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Clarity is a Worthwhile Quality: On the Role of Task Clarity in Microtask Crowdsourcing.

Ujwal Gadiraju, Jie Yang, Alessandro Bozzon

Proceedings of the 28th ACM Conference on Hypertext and Social Media, 2017

Interacting Attention-gated Recurrent Networks for Recommendation.

Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation.

Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Using social media to reveal social and collective perspectives on music.

Deniz Iren, Cynthia C. S. Liem, Jie Yang, Alessandro Bozzon

Proceedings of the 8th ACM Conference on Web Science, 2016

Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization.

Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Social Media Data Analytics for Tourism - A Preliminary Study.

Arkka Dhiratara, Jie Yang, Alessandro Bozzon, Geert-Jan Houben

Proceedings of the 2nd International Workshop on Knowledge Discovery on the WEB, 2016

Diversity in Urban Social Media Analytics.

Jie Yang, Claudia Hauff, Geert-Jan Houben, Christiaan Titos Bolivar

Proceedings of the Web Engineering - 16th International Conference, 2016

Modeling Task Complexity in Crowdsourcing.

Jie Yang, Judith Redi, Gianluca Demartini, Alessandro Bozzon

Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

2015

On the impact of knowledge extraction and aggregation on crowdsourced annotation of visual artworks.

Jasper Oosterman, Jie Yang, Alessandro Bozzon, Lora Aroyo, Geert-Jan Houben

Comput. Networks, 2015

Harnessing Engagement for Knowledge Creation Acceleration in Collaborative Q&A Systems.

Jie Yang, Alessandro Bozzon, Geert-Jan Houben

Proceedings of the User Modeling, Adaptation and Personalization, 2015

Linking Accounts across Social Networks: the Case of StackOverflow, Github and Twitter.

Giuseppe Silvestri, Jie Yang, Alessandro Bozzon, Andrea Tagarelli

Proceedings of the 1st International Workshop on Knowledge Discovery on the WEB, 2015

E-WISE: An Expertise-Driven Recommendation Platform for Web Question Answering Systems.

Jie Yang, Alessandro Bozzon, Geert-Jan Houben

Proceedings of the Engineering the Web in the Big Data Era - 15th International Conference, 2015

Knowledge Crowdsourcing Acceleration.

Jie Yang, Alessandro Bozzon, Geert-Jan Houben

Proceedings of the Engineering the Web in the Big Data Era - 15th International Conference, 2015

2014

Sparrows and Owls: Characterisation of Expert Behaviour in StackOverflow.

Jie Yang, Ke Tao, Alessandro Bozzon, Geert-Jan Houben

Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Asking the right question in collaborative q&a systems.

Jie Yang, Claudia Hauff, Alessandro Bozzon, Geert-Jan Houben

Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

2013

Zips: mining compressing sequential patterns in streams.

Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin

Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013