Jie Yang

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 87

Top Venues

CoRR

WWW

HCOMP

IEEE Trans. Knowl. Data Eng.

Delft University of Technology, Netherlands (PHD)

Education History

Delft University of Technology, Netherlands

PHD

Publications

Lorenzo Corti, Rembrandt Oltmans, Jiwon Jung, Agathe Balayn, Marlies Wijsenbeek, Jie Yang
"It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine. CHI (2024)
Gianluca Demartini, Shazia Sadiq, Jie Yang
Editorial: Special Issue on Human in the Loop Data Curation. ACM J. Data Inf. Qual. 16 (1) (2024)
Mingkun Yang, Ran Zhu, Qing Wang, Jie Yang
FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning. ICLR (2024)
Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
Adaptive In-Context Learning with Large Language Models for Bundle Generation. SIGIR (2024)
Weijian Yu, Jie Yang, Dingqi Yang
Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning. WWW (2024)
Ran Zhu, Maxim Van den Abeele, Jona Beysens, Jie Yang, Qing Wang
Centimeter-Level Indoor Visible Light Positioning. IEEE Commun. Mag. 62 (3) (2024)
Philip Lippmann, Matthijs T. J. Spaan, Jie Yang
Exploring LLMs as a Source of Targeted Synthetic Textual Data to Minimize High Confidence Misclassifications. CoRR (2024)
Aleksander Buszydlik, Karol Dobiczek, Michal Teodor Okon, Konrad Skublicki, Philip Lippmann, Jie Yang
Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks. CoRR (2024)
Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu
Revisiting Bundle Recommendation for Intent-aware Product Bundling. Trans. Recomm. Syst. 2 (3) (2024)
Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux
Human-in-the-Loop Rule Discovery for Micropost Event Detection. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Shahin Sharifi Noorian, Sihang Qiu, Burcu Sayin, Agathe Balayn, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon
Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality. IUI (2023)
Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. CoRR (2023)
Sepideh Mesbah, Ines Arous, Jie Yang, Alessandro Bozzon
HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale. WWW (2023)
Jie Yang, Alessandro Bozzon, Ujwal Gadiraju, Matthew Lease
Editorial: Human-centered AI: Crowd computing. Frontiers Artif. Intell. 6 (2023)
Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati
Value-Aware Active Learning. HHAI (2023)
Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, Jie Yang
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. CoRR (2023)
Lorenzo Corti, Jie Yang
ARTIST: ARTificial Intelligence for Simplified Text. CoRR (2023)
Andrea Tocchetti, Jie Yang, Marco Brambilla
Rationale Trees: Towards a Formalization of Human Knowledge for Explainable Natural Language Processing. XAI.it@AI*IA (2023)
Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. CIKM (2023)
Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, Jie Yang
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. AIES (2023)
Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Agathe Balayn, Natasa Rikalo, Jie Yang, Alessandro Bozzon
Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs. CHI (2023)
Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati
Value-Based Hybrid Intelligence. HHAI (2023)
Alisa Smirnova, Jie Yang, Dingqi Yang, Philippe Cudré-Mauroux
Nessy: A Neuro-Symbolic System for Label Noise Reduction. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Agathe Balayn, Mireia Yurrita, Jie Yang, Ujwal Gadiraju
"☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. AIES (2023)
Dingqi Yang, Bingqing Qu, Jie Yang, Liang Wang, Philippe Cudré-Mauroux
Streaming Graph Embeddings via Incremental Neighborhood Sketching. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, Alessandro Bozzon
An Analysis of Music Perception Skills on Crowdsourcing Platforms. Frontiers Artif. Intell. 5 (2022)
Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju
It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge. HCOMP (2022)
Shahin Sharifi Noorian, Sihang Qiu, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon
What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition. WWW (2022)
Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR (2022)
Peide Zhu, Claudia Hauff, Jie Yang
MOOC-Rec: Instructional Video Clip Recommendation for MOOC Forum Questions. EDM (2022)
Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, Mireia Yurrita, Philip Lippmann, Marco Brambilla, Jie Yang
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities. CoRR (2022)
Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudré-Mauroux
LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Gianluca Demartini, Jie Yang, Shazia W. Sadiq
Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022. SIGIR Forum 56 (2) (2022)
Agathe Balayn, Gaole He, Andrea Hu, Jie Yang, Ujwal Gadiraju
Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game. WWW (2022)
Shreyan Biswas, Lorenzo Corti, Stefan Buijsman, Jie Yang
CHIME: Causal Human-in-the-Loop Model Explanations. HCOMP (2022)
Gianluca Demartini, Jie Yang, Shazia W. Sadiq
Workshop on Human-in-the-loop Data Curation. CIKM (2022)
Burcu Sayin, Fabio Casati, Andrea Passerini, Jie Yang, Xinyue Chen
Rethinking and Recomputing the Value of ML Models. CoRR (2022)
Agathe Balayn, Natasa Rikalo, Christoph Lofi, Jie Yang, Alessandro Bozzon
How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models? CHI (2022)
Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. SIGIR (2022)
Agathe Balayn, Panagiotis Soilis, Christoph Lofi, Jie Yang, Alessandro Bozzon
What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis. WWW (2021)
Hossein A. Rahmani, Jie Yang
Demographic Biases of Crowd Workers in Key Opinion Leaders Finding. CoRR (2021)
Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux
Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process. WWW (2021)
Garrett Allen, Jie Yang, Maria Soledad Pera, Ujwal Gadiraju
Using Conversational Artificial Intelligence to Support Children's Search in the Classroom. CoRR (2021)
Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati
The Science of Rejection: A Research Area for Human Computation. CoRR (2021)
Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, Philippe Cudré-Mauroux
MARTA: Leveraging Human Rationales for Explainable Text Classification. AAAI (2021)
Burcu Sayin, Evgeny Krivosheev, Jie Yang, Andrea Passerini, Fabio Casati
A review and experimental analysis of active learning over crowdsourced data. Artif. Intell. Rev. 54 (7) (2021)
Agathe Balayn, Jie Yang, Zoltán Szlávik, Alessandro Bozzon
Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature. ACM Trans. Soc. Comput. 4 (3) (2021)
Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev
Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. HT (2021)
Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, Alessandro Bozzon
Exploring the Music Perception Skills of Crowd Workers. HCOMP (2021)
Fabio Casati, Pierre-André Noël, Jie Yang
On the Value of ML Models. CoRR (2021)
Burcu Sayin, Evgeny Krivosheev, Jorge Ramírez, Fabio Casati, Ekaterina A. Taran, Veronika A. Malanina, Jie Yang
Crowd-Powered Hybrid Classification Services: Calibration is all you need. ICWS (2021)
Hao Liu, Hanting Ye, Jie Yang, Qing Wang
Through-Screen Visible Light Sensing Empowered by Embedded Deep Learning. SenSys (2021)
Zhijun Chen, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Xudong Liu, Jie Yang
Structured Probabilistic End-to-End Learning from Crowds. IJCAI (2020)
Rongting Zhang, Jie Yang
Web-to-Voice Transfer for Product Recommendation on Voice. SIGIR (2020)
Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. AAAI (2020)
Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux
OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation. WWW (2020)
Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys (2020)
Ujwal Gadiraju, Jie Yang
What Can Crowd Computing Do for the Next Generation of AI Systems? CSW@NeurIPS (2020)
Felipe Moraes, Jie Yang, Rongting Zhang, Vanessa Murdock
The Role of Attributes in Product Quality Comparisons. CHIIR (2020)
Natalia Ostapuk, Jie Yang, Philippe Cudré-Mauroux
ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs. WWW (2019)
Guanliang Chen, Jie Yang, Dragan Gasevic
A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation. AIED (1) (2019)
Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, Philippe Cudré-Mauroux
Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data. WWW (2019)
Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. 37 (2019)
Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, Geert-Jan Houben
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content. EMNLP/IJCNLP (1) (2019)
Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudré-Mauroux
Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach. WWW (2019)
Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
Research Commentary on Recommendations with Side Information: A Survey and Research Directions. CoRR (2019)
Jie Yang, Thomas Drake, Andreas C. Damianou, Yoelle Maarek
Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa. WWW (2018)
Jie Yang, Carlo van der Valk, Tobias Hoßfeld, Judith Redi, Alessandro Bozzon
How Do Crowdworker Communities and Microtask Markets Influence Each Other? A Data-Driven Study on Amazon Mechanical Turk. HCOMP (2018)
Achilleas Psyllidis, Jie Yang, Alessandro Bozzon
Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data. IEEE Access 6 (2018)
Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu
Recurrent knowledge graph embedding for effective recommendation. RecSys (2018)
Vincent X. Gong, Jie Yang, Winnie Daamen, Alessandro Bozzon, Serge P. Hoogendoorn, Geert-Jan Houben
Using Social Media for Attendees Density Estimation in City-Scale Events. IEEE Access 6 (2018)
Guanliang Chen, Jie Yang, Claudia Hauff, Geert-Jan Houben
LearningQ: A Large-Scale Dataset for Educational Question Generation. ICWSM (2018)
Gregory Afentoulidis, Zoltán Szlávik, Jie Yang, Alessandro Bozzon
Social Gamification in Enterprise Crowdsourcing. WebSci (2018)
Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
Interacting Attention-gated Recurrent Networks for Recommendation. CoRR (2017)
Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson
CitRec 2017: International Workshop on Recommender Systems for Citizens. RecSys (2017)
Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
Interacting Attention-gated Recurrent Networks for Recommendation. CIKM (2017)
Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. IJCAI (2017)
Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon
Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. AAAI (2017)
Jie Yang, Alessandro Bozzon
On the Improvement of Quality and Reliability of Trust Cues in Micro-task Crowdsourcing (Position paper). CoRR (2017)
Jie Yang, Iván Cantador, Diana Nurbakova, María E. Cortés-Cediel, Alessandro Bozzon
Recommender systems for citizens: the CitRec'17 workshop manifesto. CitRec@RecSys (2017)
Ujwal Gadiraju, Jie Yang, Alessandro Bozzon
Clarity is a Worthwhile Quality: On the Role of Task Clarity in Microtask Crowdsourcing. HT (2017)
Arkka Dhiratara, Jie Yang, Alessandro Bozzon, Geert-Jan Houben
Social Media Data Analytics for Tourism - A Preliminary Study. KDWeb (2016)
Jie Yang, Judith Redi, Gianluca Demartini, Alessandro Bozzon
Modeling Task Complexity in Crowdsourcing. HCOMP (2016)
Deniz Iren, Cynthia C. S. Liem, Jie Yang, Alessandro Bozzon
Using social media to reveal social and collective perspectives on music. WebSci (2016)
Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang
Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. RecSys (2016)
Jie Yang, Claudia Hauff, Geert-Jan Houben, Christiaan Titos Bolivar
Diversity in Urban Social Media Analytics. ICWE (2016)
Jie Yang, Alessandro Bozzon, Geert-Jan Houben
E-WISE: An Expertise-Driven Recommendation Platform for Web Question Answering Systems. ICWE (2015)
Jie Yang, Alessandro Bozzon, Geert-Jan Houben
Knowledge Crowdsourcing Acceleration. ICWE (2015)
Jie Yang, Alessandro Bozzon, Geert-Jan Houben
Harnessing Engagement for Knowledge Creation Acceleration in Collaborative Q&A Systems. UMAP (2015)
Jasper Oosterman, Jie Yang, Alessandro Bozzon, Lora Aroyo, Geert-Jan Houben
On the impact of knowledge extraction and aggregation on crowdsourced annotation of visual artworks. Comput. Networks 90 (2015)
Giuseppe Silvestri, Jie Yang, Alessandro Bozzon, Andrea Tagarelli
Linking Accounts across Social Networks: the Case of StackOverflow, Github and Twitter. KDWeb (2015)
Jie Yang, Ke Tao, Alessandro Bozzon, Geert-Jan Houben
Sparrows and Owls: Characterisation of Expert Behaviour in StackOverflow. UMAP (2014)
Jie Yang, Claudia Hauff, Alessandro Bozzon, Geert-Jan Houben
Asking the right question in collaborative q&a systems. HT (2014)
Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin
Zips: mining compressing sequential patterns in streams. IDEA@KDD (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jie Yang