| 2026 | SIGIR | Adaptive Sparsity Optimization with Learnable Soft Top- | Wentai Xie, Parker Carlson, Shanxiu He, Tao Yang |
| 2025 | ECIR | Token Pruning Optimization for Efficient Multi-vector Dense Retrieval. | Shanxiu He, Mutasem Al-Darabsah, Suraj Nair, Jonathan May, Tarun Agarwal, Tao Yang, Choon Hui Teo |
| 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 | ICTIR | On Adaptive Knowledge Distillation with Generalized KL-Divergence Loss for Ranking Model Refinement. | Yingrui Yang, Shanxiu He, Tao Yang |
| 2024 | SIGIR | Cluster-based Partial Dense Retrieval Fused with Sparse Text Retrieval. | Yingrui Yang, Parker Carlson, Shanxiu He, Yifan Qiao, Tao Yang |
| 2024 | SIGIR | Weighted KL-Divergence for Document Ranking Model Refinement. | Yingrui Yang, Yifan Qiao, Shanxiu He, Tao Yang |
| 2023 | ICTIR | Balanced Knowledge Distillation with Contrastive Learning for Document Re-ranking. | Yingrui Yang, Shanxiu He, Yifan Qiao, Wentai Xie, Tao Yang |
| 2023 | SIGIR | Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document Retrieval. | Yifan Qiao, Yingrui Yang, Shanxiu He, Tao Yang |