Mr Dianer Yu

Mr Dianer Yu

Research Associate
Arts, Design & Architecture (ADA)
City Futures Research Centre

I am currently a Research Associate at the City Futures Research Centre, University of New South Wales (UNSW), working under the supervision of Scientia Professor Chris Pettit. I completed my PhD in AI/Data Science/Machine Learning at the University of Technology Sydney (UTS), where I was supervised by Chair Prof. Guandong Xu and Dr. Qian Li. I received Master of Information Technology (2021) and Bachelor of Information Technology (2018), both from UTS. My research interests lie in Artificial Intelligence, Data Mining, Data Science, Recommender Systems, Causal Inference, and Machine Learning, I've published over 18 research papers in top-tier AI conferences and journals including TKDE, WWW, SIGIR, CIKM, TOIS, TORS, Information Science, Neurocomputing, PAKDD, DASFAA, et al. My academic excellence has been recognized through numerous scholarships and awards, including the HDR Excellence Reward, President's Scholarship, International Research Scholarship, and multiple Dean's List. My long-term goal is to contribute to the development of more intelligent, transparent and effective data-driven systems across various domains. I am also actively seeking collaboration opportunities in both industry and academia.

2024: HDR Excellence Reward from UTS, One-Off Scholarship from UTS.
2023: President's Scholarship from UTS, International Research Scholarship from UTS, Data61 Full Scholarship from CSIRO.
2022: Vice Chancellor's Conference Fund from UTS.
2022: FEIT Postgraduate Dean's List from UTS.
2021: FEIT Postgraduate Dean's List 2021 from UTS.

I serve as Organizing Committee & Local Chair for several prestigious conferences, including the 2025 International Conference on Behavioural and Social Computing (BESC), 2024 International Conference on Digital Society and Intelligent Systems (DSInS), and the 2023 International Symposium on Emerging Technologies for Education (SETE) alongside the International Conference on Web-Based Learning (ICWL).

I serve as a Program Committee Member & Reviewer for numerous top-tier conferences and journals in the field of AI, such as KDD, ICDM, TKDE, CIKM, TCSS, KBS, PAKDD, PRICAI, DASFAA, WSDM, EMNLP, TIST, TORS, SIGIR, BESC, ECML, ECAI, WWW Journal, ICONIP, KIS, KNOSYS, Information Fusion, Supercomputing, Discover Computing, and IJMLC, et al.