Publications

2026

  1. Harness for Multi-Facility HPC: Agent-Ready, not Agent-Resident
    Hongwei Jin, Stefano Fenu, Yijiang Li, and Kibaek Kim
    2026
    Under review
  2. A Unified Multi-task Benchmark for Data-driven Models of Power Systems
    Stefano Fenu, Wei Gao, Yijiang Li, Hongwei Jin, Zeeshan Memon, Sunash B. Sharma, Liang Zhao, Jonghwan Kwon, and Kibaek Kim
    2026
    Under review
  3. Decoupling Federated Learning to Address Utility-driven Asynchrony
    Krishnan Raghavan, Emon Dey, Seok-Ju Hahn, Yijiang Li, Todd Munson, and Kibaek Kim
    2026
    Under review
  4. Scaling Laws for Physics-Aware ACOPF Surrogate Learning
    Yijiang Li, Emon Dey, Massimiliano Lupo Pasini, Teja Kuruganti, and Kibaek Kim
    In Proceedings of the SC’26 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis (AI4S), 2026
    To appear
  5. From Pilots to Production: Lessons in Cross-Institutional Federated Training and Artificial Intelligence for Science
    Olivera Kotevska, Max Carlson, Yan Gao, Francis Jeanson, Yijiang Li, William Linkskog, Mohammad Naseri, Minseok Ryu, Sahil Tyagi, Jerry Watkins, Feiyi Wang, Ravi Madduri, and Kibaek Kim
    In Proceedings of the SC’26 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis (Trillion Parameter Workshops), 2026
    To appear
  6. Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids
    Massimiliano Lupo Pasini, Yijiang Li, Kibaek Kim, and Teja Kuruganti
    2026
  7. Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers
    Yijiang Li, Zilinghan Li, Kyle Chard, Ian Foster, Todd Munson, Ravi Madduri, and Kibaek Kim
    2026
  8. LUMINA: Foundation Models for Topology Transferable ACOPF
    Yijiang Li, Zeeshan Memon, Hongwei Jin, Stefano Fenu, Keunju Song, Sunash B. Sharma, Parfait Gasana, Hongseok Kim, Liang Zhao, and Kibaek Kim
    In ICLR 2026 Workshop on Foundation Models for Science (FM4Science), 2026
  9. FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
    Yijiang Li, Emon Dey, Zilinghan Li, Krishnan Raghavan, Ravi K. Madduri, and Kibaek Kim
    In Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026
  10. LUMINA: A Grid Foundation Model for Benchmarking AC Optimal Power Flow Surrogate Learning
    Hongwei Jin, Keunju Song, Zeeshan Memon, Yijiang Li, Stefano Fenu, Hongseok Kim, Liang Zhao, and Kibaek Kim
    2026
  11. Towards Systematic Generalization for Power Grid Optimization Problems
    Zeeshan Memon, Yijiang Li, Hongwei Jin, Kibaek Kim, and Liang Zhao
    In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), AI for Sciences Track, 2026
    Oral presentation (top 6.1% of submissions)

2025

  1. FedSpaLLM: Federated Pruning of Large Language Models
    Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, and Kibaek Kim
    In Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2025
  2. Experience Building Enterprise-level Privacy-Preserving Federated Learning to Power AI for Science
    Zilinghan Li, Aditya Sinha, Yijiang Li, Kyle Chard, Kibaek Kim, and Ravi Madduri
    In IEEE 7th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA), 2025
  3. Optimizing the Design and Operation of Water Networks: Two Decomposition Approaches
    Yijiang Li, Santanu S. Dey, Nikolaos V. Sahinidis, Naresh Susarla, Miguel A. Zamarripa, and Markus A. Drouven
    Computers & Chemical Engineering, 2025
    DOI

2024

  1. SparseLLM: Towards Global Pruning for Pretrained Language Models
    Guangji Bai, Yijiang Li, Cheng Ling, Kibaek Kim, and Liang Zhao
    In Advances in Neural Information Processing Systems (NeurIPS), 2024
  2. From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption
    Shourya Bose, Yijiang Li, Amy Van Sant, Yu Zhang, and Kibaek Kim
    In NeurIPS 2024 Workshop on Time Series, 2024
  3. A Reformulation-Enumeration MINLP Algorithm for Gas Network Design
    Yijiang Li, Santanu S. Dey, and Nikolaos V. Sahinidis
    Journal of Global Optimization, 2024
    DOI
  4. Modeling and Solving Cascading Failures Across Interdependent Infrastructure Systems
    Yijiang Li, Kibaek Kim, Sven Leyffer, Matt Menickelly, Lawrence Paul. Lewis, and Joshua Bergerson
    2024

2023

  1. Decomposition Algorithms for Certain Integer Problems over Networks
    Yijiang Li
    2023
    Ph.D. Thesis

2021

  1. Using Submodularity within Column Generation to Solve the Flight-to-Gate Assignment Problem
    Yijiang Li, John-Paul Clarke, and Santanu S. Dey
    Transportation Research Part C: Emerging Technologies, 2021
    DOI

2019

  1. General Expression of Pressure Angle and Principal Curvature of Globoidal Indexing Cam Mechanism
    Jian Li, Xiong Rao, Mao Tang, and Yijiang Li
    In IOP Conference Series: Materials Science and Engineering, 2019
    DOI