| 2026 | SIGIR | Scalable K-Means Guided Partitioning for Block-based Sparse Document Retrieval. | Parker Carlson, Sammy Lesner, Antonio Mallia, Tao Yang |
| 2026 | SIGIR | Efficient Sparse Retrieval with Lightweight Superblock Pruning. | Parker Carlson, Wentai Xie, Rohil Shah, Tao Yang |
| 2026 | SIGIR | Adaptive Sparsity Optimization with Learnable Soft Top- | Wentai Xie, Parker Carlson, Shanxiu He, Tao Yang |
| 2025 | ECIR | LSTM-Based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval. | Yingrui Yang, Parker Carlson, Yifan Qiao, Wentai Xie, Shanxiu He, Tao Yang |
| 2025 | SIGIR | Dynamic Superblock Pruning for Fast Learned Sparse Retrieval. | Parker Carlson, Wentai Xie, Shanxiu He, Tao Yang |
| 2025 | SIGIR | Low-Cost Document Retrieval with Dense Pseudo-Query Encoding. | Shanxiu He, Wentai Xie, Yifan Qiao, Parker Carlson, Tao Yang |
| 2024 | EMNLP | Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval. | Yifan Qiao, Parker Carlson, Shanxiu He, Yingrui Yang, Tao Yang |
| 2024 | EvoMUSART | Deep Learning Approaches for Sung Vowel Classification. | Parker Carlson, Patrick J. Donnelly |
| 2024 | SIGIR | Cluster-based Partial Dense Retrieval Fused with Sparse Text Retrieval. | Yingrui Yang, Parker Carlson, Shanxiu He, Yifan Qiao, Tao Yang |
| 2023 | EvoMUSART | Transposition of Simple Waveforms from Raw Audio with Deep Learning. | Patrick J. Donnelly, Parker Carlson |