J. Yang
J. Yang
Academische achtergrond
Jie Yang is starting as Assistant Professor at the Web Information Systems Group of the Faculty of Engineering, Mathematics and Computer Science (EEMCS/EWI), Delft University of Technology. Before coming back to TU Delft, he was a Machine Learning Scientist at Alexa Shopping, Amazon Research, based in Seattle, and a Senior Researcher at the eXascale Infolab, University of Fribourg - Switzerland. He received his Ph.D. from TU Delft in 2017, M.Sc. from TU Eindhoven in 2013, and B.Eng. from Zhejiang University in 2011. During his M.Sc., he also interned at Philips Research.
Jie's research focuses on human-centered machine learning for Web-scale information systems, aiming at leveraging the joint power of human and machine intelligence for understanding and making use of data in large-scale information systems. Over the past few years, Jie has worked on integrating human computation with model training in active learning, transfer learning, and weakly-supervised learning settings, to allow models to effectively and efficiently learn from small, sparse, and noisy data. More recently, he is focusing on developing human-centered approaches for better performance, more robust machine learning systems.
Expertise
Publicaties
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2024
Centimeter-Level Indoor Visible Light Positioning
Ran Zhu / Maxim Van Den Abeele / Jona Beysens / Jie Yang / Qing Wang
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2024
Editorial
Special Issue on Human in the Loop Data Curation
Gianluca Demartini / Shazia Sadiq / Jie Yang -
2024
MRHF
Multi-stage Retrieval and Hierarchical Fusion for Textbook Question Answering
Peide Zhu / Zhen Wang / Manabu Okumura / Jie Yang -
2024
Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning
Weijian Yu / Jie Yang / Dingqi Yang
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2024
“It Is a Moving Process”
Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine
Lorenzo Corti / Rembrandt Oltmans / Jiwon Jung / Agathe Balayn / Marlies Wijsenbeek / Jie Yang -
Prijzen
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2023-8
Best student paper award at AIES 2023
The paper "“☑ Fairness Toolkits, A Checkbox Culture?” On the Factors that Fragment Developer Practices in Handling Algorithmic Harms" received the best paper award at the 2023 AAAI/ACM AIES Conference on AI, Ethics, and Society
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2022
Best Paper Award
In HCOMP 2022 (10th AAAI Conference on Human Computation and Crowdsourcing), I got best paper award for my conference paper.
HCOMP 2022: 10th AAAI Conference on Human Computation and Crowdsourcing -
2021
CCC 1st Prize Blue Sky Ideas
The Ninth AAAI Conference on Human Computation and Crowdsourcing -
2017-7-7
Douglas Engelbart Best Paper Award
28th ACM Conference on Hypertext and Social Media, HT 2017 -
2015-5-22
Best Paper Award
Weaving Relations of Trust in Crowd Work