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Songgaojun (Amy) Deng

I am an Assistant Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e).

Previously, I was a Postdoc Researcher at the University of Amsterdam, working with Prof. dr. Maarten de Rijke and Prof. dr. Sebastian Schelter since January 2023.

I received my PhD in Computer Science from Stevens Institute of Technology in 2022, supervised by Dr. Yue Ning.

I am looking for a highly motivated PhD student.
If you are seriously interested, please email me your resume, transcripts, and a brief description of your preferred research topic, using the subject line [PhD Application].

Google Scholar | DBLP | Github | LinkedIn

Research interests

I am broadly interested in machine learning and data mining problems motivated by real-world problems in social, health informatics, e-commerce, etc. My research focuses on enhancing the explanability and robustness of predictive modeling for temporal data.

  • Out-of-Distribution generalization in time series
    • My ongoing work and future perspectives in this direction focus on multimodality and robustness in OOD generalization for time series data, and addressing potential ethical and fairness considerations beyond generalization.
  • Explainable and robust human event modeling
    • Future direction involves exploring Large Language Models (LLMs) to reshape event sequence modeling and future event reasoning and explanation.

News

  • 09/2024          Paper on Non-stationary Time Series Forecasting was accepted by NeurIPS 2024.
  • 01/2024          Paper on Domain Generalization in Time Series Forecasting was accepted by TKDD.
  • 10/2023          Paper on Graph Contrastive Learning was accepted by KAIS.
  • 01/2023          I join AIRLab, University of Amsterdam as a Postdoc Researcher.
  • 08/2022          Paper on causality enhanced societal event forecasting was accepted by ICDM 2022.
  • 07/2022          Passed Ph.D. Dissertation Defense. Thanks to all committee members!
  • 06/2022          Paper on causal event analysis was accepted by KDD 2022.
  • 05/2022          2022 Recipient of the Excellence in Graduate Research at Stevens.
  • 08/2021          Paper on interpretable event prediction was accepted by CIKM 2021.
  • 05/2021          Received Stevens Excellence Doctoral Fellowship.
  • 04/2021          Passed Ph.D. Dissertation Proposal Defense. Many thanks to all committee members!
  • 07/2020          Paper on predicting long-term influenza-like illness cases was accepted by CIKM 2020.
  • 06/2020          I joined Targeting Science team at Yahoo Research as a summer intern!
  • 06/2019          Received KDD 2020 student travel award.
  • 06/2020          Paper on dynamic knowledge graph based multi-event forecasting was accepted by KDD 2020.
  • 09/2019          Received Women in Machine Learning (WiML@NeurIPS 2019) travel grant.
  • 05/2019          Successfully passed my PhD Qualifying Exam (Oral Part). Officially a Ph.D. candidate!
  • 05/2019          Received KDD 2019 student travel award.
  • 04/2019          First paper on modeling dynamic event context graphs was accepted by KDD 2019.
  • 04/2019          Received a travel grant to attend CRA Women in Computing Workshop.
  • 12/2018          Successfully passed my PhD Qualifying Exam (Written Part).
  • 08/2018          I will come to Stevens in Fall as a Ph.D. student.

Services

Contact

Address:
MetaForum 7.145, TU/e
5612 AZ, Eindhoven

Email:
s [dot] deng [at] tue.nl