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Personal profile

Academic background

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.

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Research Output

  • 23 Conference contribution
  • 5 Article
  • 1 Dissertation (TU Delft)

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

Mesbah, S., Yang, J., Sips, R-J., Torre, M. V., Lofi, C., Bozzon, A. & Houben, G-J., 3 Nov 2019, International conference on Empirical Methods in Natural Language Processing (EMNLP). p. 2349–2359 11 p.

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

File
  • 124 Downloads (Pure)

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

    Yang, J., van der Valk, C., Hoßfeld, T., Redi, J. & Bozzon, A., 2018, 6th AAAI Conference on Human Computation and Crowdsourcing: HCOMP 2018. Cambridge, MA: American Association for Artificial Intelligence (AAAI), p. 193-202 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • LearningQ: A Large-scale Dataset for Educational Question Generation

    Chen, G., Yang, J., Hauff, C. & Houben, G-J., 2018, Proceedings of the Twelfth International AAAI Conference on Web and Social Media. Association for the Advancement of Artificial Intelligence (AAAI), p. 481-490 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
  • 5 Citations (Scopus)
    27 Downloads (Pure)

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

    Yang, J., Drake, T., Damianou, A. & Maarek, Y., 2018, Proceedings of the 2018 Worls Wide Web Conference, WWW 2018. Geneva, p. 23-32 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • Recurrent knowledge graph embedding for effective recommendation

    Sun, Z., Yang, J., Zhang, J., Bozzon, A., Huang, L. K. & Xu, C., 2018, RecSys '18 : Proceedings of the 12th ACM Conference on Recommender Systems. New York, NY: Association for Computer Machinery, p. 297-305 9 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
  • 42 Citations (Scopus)
    168 Downloads (Pure)

    Datasets

    Reddit dataset for Adverse Drug Reaction

    Mesbah, S. (Creator), Yang, J. (Creator), Sips, R. J. (Creator), Valle Torre, M. (Creator), Lofi, C. (Creator), Bozzon, A. (Creator) & Houben, G. J. P. M. (Creator), TU Delft - 4TU Centre for research data, 2020

    Dataset

    Prizes

    Best Paper Award

    Yang, J. (Recipient), 22 May 2015

    Prize: Prize (including medals and awards)

    Douglas Engelbart Best Paper Award

    Yang, J. (Recipient), 7 Jul 2017

    Prize: Prize (including medals and awards)