Jie Yang
Orcid: 0000-0002-0350-0313Affiliations:
- Delft University of Technology, The Netherlands
- Amazon, USA (former)
- University of Fribourg, EXascale Infolab, Switzerland (former)
- Delft University of Technology, The Netherlands (PhD 2017)
According to our database1,
Jie Yang
authored at least 101 papers
between 2013 and 2025.
Collaborative distances:
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Bibliography
2025
Context-Informed Machine Translation of Manga using Multimodal Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Trans. Recomm. Syst., September, 2024
ACM J. Data Inf. Qual., March, 2024
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?
J. Artif. Intell. Res., 2024
CoRR, 2024
Exploring LLMs as a Source of Targeted Synthetic Textual Data to Minimize High Confidence Misclassifications.
CoRR, 2024
Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks.
CoRR, 2024
Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
"It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
Nothing Comes Without Its World - Practical Challenges of Aligning LLMs to Situated Human Values through RLHF.
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024
2023
IEEE Trans. Knowl. Data Eng., August, 2023
IEEE Trans. Knowl. Data Eng., August, 2023
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
IEEE Trans. Knowl. Data Eng., May, 2023
Frontiers Artif. Intell., February, 2023
Proceedings of the ACM Web Conference 2023, 2023
FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023
Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models.
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.
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.
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.
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.
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.
SIGIR Forum, December, 2022
IEEE Trans. Knowl. Data Eng., 2022
Frontiers Artif. Intell., 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities.
CoRR, 2022
What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
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.
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.
Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022
Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
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?
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.
ACM Trans. Soc. Comput., 2021
Using Conversational Artificial Intelligence to Support Children's Search in the Classroom.
CoRR, 2021
Artif. Intell. Rev., 2021
What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis.
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.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021
Proceedings of the 2021 IEEE International Conference on Web Services, 2021
Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations.
Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021
Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021
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.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
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.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Proceedings of the Crowd Science Workshop: Remoteness, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Research commentary on recommendations with side information: A survey and research directions.
Electron. Commer. Res. Appl., 2019
Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data.
Proceedings of the World Wide Web Conference, 2019
Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach.
Proceedings of the World Wide Web Conference, 2019
Proceedings of the World Wide Web Conference, 2019
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content.
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.
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.
IEEE Access, 2018
IEEE Access, 2018
Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Proceedings of the 10th ACM Conference on Web Science, 2018
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
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.
Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018
2017
On the Improvement of Quality and Reliability of Trust Cues in Micro-task Crowdsourcing (Position paper).
CoRR, 2017
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
Proceedings of International Workshop on Citizens for Recommender Systems, 2017
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation.
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.
Proceedings of the 28th ACM Conference on Hypertext and Social Media, 2017
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.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the 8th ACM Conference on Web Science, 2016
Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016
Proceedings of the 2nd International Workshop on Knowledge Discovery on the WEB, 2016
Proceedings of the Web Engineering - 16th International Conference, 2016
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.
Comput. Networks, 2015
Harnessing Engagement for Knowledge Creation Acceleration in Collaborative Q&A Systems.
Proceedings of the User Modeling, Adaptation and Personalization, 2015
Linking Accounts across Social Networks: the Case of StackOverflow, Github and Twitter.
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.
Proceedings of the Engineering the Web in the Big Data Era - 15th International Conference, 2015
Proceedings of the Engineering the Web in the Big Data Era - 15th International Conference, 2015
2014
Proceedings of the User Modeling, Adaptation, and Personalization, 2014
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014
2013
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013