Jie Yang

I am currently an applied scientist at Amazon Research. Before, I obtained my PhD from Delft University of Technology and spent ~one year at eXascale Infolab.

I work on human-centric AI, a class of intelligent systems where humans are an integral component of the computational process. This is not only because that humans are often the data providers, but also because that they can play an active role in enhancing the system with respect to issues such as performance, robustness, transparency, and fairness. My research is both theoretical and experimental, as it requires to understand human characteristics (e.g., reliability and bias) while designing more powerful human-in-the-loop models and systems.

My recent work focuses on leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data (Scalpel-CD) and active learning (DALC). Currently, I am heavily involved in building human-AI systems for search and recommendation in Amazon's Choice and in Alexa.

The best way to reach me is by email, jiy at amazon dot com.

What's new?

Selected publications

* indicates either a student that I supervised or equal contribution with my collaborater.

Services

I actively serve the research community. My recent acitivties include services on the program committee of AAAI (2020), AAAI HCOMP (2019, 2018), AAAI ICWSM (2019, 2018), ACM IUI (2019, 2018), ACM CHIIR (2020, 2019), ESWC (2019), and WWW (2018). In addition, I serve on the editorial board of the Journal of Human Computation and review for transactions and journals such as TKDE and IJCHS.