| 2025 | CCGRID | Equilibria: Co-Optimizing Energy and Latency in Online ML-Based Stream Processing Systems. | Sejeong Oh, Soyang Baek, Gordon Euhyun Moon, Sungyong Park |
| 2025 | CIKM | D-HAT: Dynamic Hypergraph Representation Learning with Attention-Based Multi-Level Hypergraph Sampling. | Ah-Hyun Lee, Gordon Euhyun Moon |
| 2024 | CLUSTER | ML-Based Dynamic Operator-Level Query Mapping for Stream Processing Systems in Heterogeneous Computing Environments. | Sejeong Oh, Gordon Euhyun Moon, Sungyong Park |
| 2024 | EuroPar | Accelerated Block-Sparsity-Aware Matrix Reordering for Leveraging Tensor Cores in Sparse Matrix-Multivector Multiplication. | Eunji Lee, Yoonsang Han, Gordon Euhyun Moon |
| 2024 | PAKDD | Layer-Wise Sparse Training of Transformer via Convolutional Flood Filling. | Bokyeong Yoon, Yoonsang Han, Gordon Euhyun Moon |
| 2023 | CCGRID | Chronica: A Data-Imbalance-Aware Scheduler for Distributed Deep Learning. | Sanha Maeng, Gordon Euhyun Moon, Sungyong Park |
| 2020 | KDD | ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization. | Gordon Euhyun Moon, J. Austin Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan |
| 2019 | SC | Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings. | Gordon Euhyun Moon, Denis Newman-Griffis, Jinsung Kim, Aravind Sukumaran-Rajam, Eric Fosler-Lussier, P. Sadayappan |
| 2018 | ICCS | Parallel Latent Dirichlet Allocation on GPUs. | Gordon Euhyun Moon, Israt Nisa, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Srinivasan Parthasarathy, P. Sadayappan |
| 2017 | HiPC | Parallel LDA with Over-Decomposition. | Gordon Euhyun Moon, Aravind Sukumaran-Rajam, P. Sadayappan |