Ming Jin
Scholar

Ming Jin

Google Scholar ID: 60rVqqcAAAAJ
Assistant Professor, School of ICT, Griffith University
Machine LearningTime SeriesGraph Data MiningMultimodal Learning
Citations & Impact
All-time
Citations
4,416
 
H-index
19
 
i10-index
32
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Published multiple high-impact papers in top venues including NeurIPS, ICLR, ICML, KDD, and TPAMI.
  • Some works selected as Most Influential Papers and widely adopted as baselines in the open-source community.
  • Multiple papers accepted to NeurIPS 2025 (CORE A*), including 'ShapeX', 'Multi-Scale Fine-tuning for Encoder-based Time Series Foundation Models', 'Continuous State Space Modeling on Dynamic Graphs', and 'Self-Correction in LLMs'.
  • Survey paper 'Diffusion Models for Time Series and Spatio-Temporal Data' accepted by ACM Computing Surveys (Oct 2025).
  • Applied research on large lithium-ion battery modeling for secure shared e-bike batteries published in Nature Communications (IF 15.7).
  • Additional accepted works at ICDM 2025, CIKM 2025, and ITSC 2025.
  • Awarded NVIDIA Academic Grant for developing next-gen time series analytical engines.
  • Invited to serve as Area Chair for ICLR 2026 and ICASSP 2026.
  • Tutorial on 'Foundation Models for Time Series Analysis' accepted by AAAI 2026.