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Yiming Sun

Ph.D. Student
Computing Engineering,
University of Pittsburgh
yimingsun@pitt.edu


About Me

I am currently pursuing my Ph.D. in Computer Engineering at the University of Pittsburgh, advised by Dr. Xiaowei Jia. Before embarking on my Ph.D. journey, I earned my honors bachelor’s degree in Computer Science and Technology from the University of Science and Technology of China in 2022.

News

[07/26] Two papers were accepted by SIAM International Conference on Data Mining (SDM)!
[07/26] One survey paper on Heterogeneous Transfer Learning was accepted by Knowledge-Based Systems!
[04/26] One paper on methane flux prediction was accepted by IJCAI-ECAI AI and Social Good Track!
[11/25] One paper on methane dataset and benchmark was accepted by KDD 2026 Datasets & Benchmarks Track!

Publications and Projects

  1. Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction
    Yiming Sun, Runlong Yu, Rongchao Dong, Shuo Chen, Licheng Liu, Youmi Oh, Qianlai Zhuang, Yiqun Xie, Xiaowei Jia
    arXiv preprint arXiv:2603.03531.
    PDF
  2. Retrieval-Augmented Multi-scale Framework for County-Level Crop Yield Prediction Across Large Regions
    Yiming Sun, Qi Cheng, Licheng Liu, Runlong Yu, Yiqun Xie, Xiaowei Jia
    SIAM International Conference on Data Mining (SDM).
    PDF
  3. FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation
    Yilong Dai, Yiming Sun, Yiheng Chen, Shengyu Chen, Xiaowei Jia, Runlong Yu
    SIAM International Conference on Data Mining (SDM).
    PDF
  4. CHAM-net: A Contrastive Hierarchical Adaptive Meta-network for Robust Global Methane Flux Prediction
    Rongchao Dong, Yiming Sun, Shuo Chen, Youmi Oh, Licheng Liu, Yiqun Xie, Xiaowei Jia
    IJCAI-ECAI AI and Social Good Track.
    PDF
  5. X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI
    Yiming Sun, Shuo Chen, Shengyu Chen, Chonghao Qiu, Licheng Liu, Youmi Oh, Sparkle L Malone, Gavin McNicol, Qianlai Zhuang, Chris Smith, Yiqun Xie, Xiaowei Jia
    KDD 2026 Datasets & Benchmarks Track.
    PDF code data
  6. Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems
    Yiming Sun, Runlong Yu, Runxue Bao, Yiqun Xie, Ye Ye, Xiaowei Jia
    SIAM International Conference on Data Mining (SDM) 2025.
    PDF
  7. Scaling Generative Tabular Learning for Large Language Models
    Yiming Sun, Xumeng Wen, Shun Zheng, Xiaowei Jia, Jiang Bian
    NeurIPS 2024 Third Table Representation Learning Workshop.
    PDF
  8. Online Transfer Learning for RSV Case Detection
    Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F Cooper, Jessi Espino, Harry Hochheiser, Marian G Michaels, John M Aronis, Ye Ye
    The 12th IEEE International Conference on Healthcare Informatics 2024 (Best Paper Award).
    PDF
  9. A Recent Survey of Heterogeneous Transfer Learning
    Runxue Bao*, Yiming Sun*, Yuhe Gao, Jindong Wang, Qiang Yang, Zhi-Hong Mao, Ye Ye
    Knowledge-Based Systems.
    PDF GitHub
  10. Score-based Graph Generative Model for Neutrino Events Classification and Reconstruction
    Yiming Sun*, Zixing Song*, Irwin King
    Machine Learning and the Physical Sciences Workshop at Workshop at NeurIPS 2021.
    PDF