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Ziyue Li

Research focuses

High-dimensional Data Mining, Statistics, Machine Learning, Deep Learning, Smart Mobility

Curriculum vitae

  • 2022 - present: Junior Professor in Machine Learning in Smart Market, Information Systems Department, WiSo Faculty, University of Cologne, Germany
  • 2022 - present: Chief Machine Learning Scientist, EWI, Germany
  • 2021 - 2022: Researcher Scientist, Hong Kong Science and Technology Park Corporation, SenseTime, Hong Kong
  • 2019 Researcher, Nokia Bell Labs, Germany
  • 2017 - 2021 Doctor, Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology, Hong Kong
  • 2015 Bachelor, School of Mechanical and Manufacturing Engineering, The University of New South Wales, Australia
  • 2015 - 2017 Bachelor of Economics, School of Economics and Finance, Xi’an Jiaotong Univerisity, China
  • 2013 - 2017 Bachelor of Engineering, School of Mechanical Engineering, Xi’an Jiaotong Univerisity, China

Selected publications

Conference Publications

  • [C1] Ziyue Li, “Tensor Topic Models with Graphs and Applications on Individualized Travel Patterns”, 2021 IEEE 37th International Conference on Data Engineering (ICDE), Crete, Greece, 2021, - Best Applied Paper Award (Finalist) in INFORMS 2021 Data Mining and Decision Analytics Workshop.
  • [C2] Ziyue Li, Hao Yan, Chen Zhang and Fugee Tsung, “Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile” in IEEE 16th International Conference on Automation Science and Engineering (CASE), - IEEE CASE 2020 Best Conference Paper Award.
  • [C3] Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan, Chen Zhang, and Fugee Tsung, “Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction” Proceedings of the AAAI Conference on Artificial Intelligence, 2020, - Best Student Paper Finalist Award in INFORMS 2020 Quality, Statistics, and Reliability (QSR) Section

Journal Publications:

  • [J1] Ziyue Li, Hao Yan, Chen Zhang, and Fugee Tsung, “Individualized Passenger Travel Pattern Multi-Clustering based on Graph Regularized Tensor Latent Dirichlet Allocation”. Data Mining and Knowledge Discovery, Springer, 2022, accepted and incoming, - Best Student Paper Award in INFORMS 2020 Data Mining Section
  • [J2] Ziyue Li, Hao Yan, Fugee Tsung and Ke Zhang, “Profile Decomposition based Hybrid Transfer Learning for Cold-start Data Anomaly Detection”. The ACM Transactions on Knowledge Discovery from Data (TKDD), 2022, accepted and incoming.
  • [J3] Ziyue Li, Hao Yan, Chen Zhang and Fugee Tsung, “Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile” IEEE Robotics and Automation Letters, 2020.
  • [J4] Fugee Tsung, Ziyue Li, “Discussion of ’A novel approach to analysis of spatial and functional data over complex domains’” Quality Engineering, 2020.

Awards

  • Best Theoretical Paper Award, INFORMS 2021 Data Mining and Decision Analytics Workshop, Runner-up Award (2021)
  • Best Applied Paper Award, INFORMS 2021 Data Mining and Decision Analytics Workshop, Finalist Award (2021)
  • 2nd Runners-up, HKUST Three Minute Thesis Competition (2021)
  • Best Student Paper Award, INFORMS 2020 Data Mining Section, Finalist Award (2020).
  • Best Student Paper Award, INFORMS 2020 Quality, Statistics, and Reliability (QSR) Section, Finalist Award (2020).
  • Best Conference Paper Award, IEEE International Conference on Automation Science and Engineering (CASE) 2020, Winner (2020).
  • HKUST Excellent Research Award (2017)
  • 1st Runners-up, Audience Award, Hackathon@UST - Uber Smart Transportation (2018).
  • Hong Kong Ph.D. Fellowship Scholarship Award (2017-2020).