Wenkai Dong, Yifan Wang. "From Interpretation to Compilation: A Compilation-Based Execution Engine for Semantic Operator Systems." arXiv preprint arXiv:2608.06677 (2026). PDF
Wenkai Dong, Ruyu Li, Sairam Gurajada, Yifan Wang. "Bridge the Last-Mile Gap to Semantic Analytics: Compiling Natural-Language Queries into Semantic Operator Pipelines." arXiv preprint arXiv:2606.04641 (2026). PDF
Ruyu Li, Tinghui Zhang, Haodi Ma, Daisy Zhe Wang, Yifan Wang. "Beyond Single-Modal Analytics: A Framework for Integrating Heterogeneous LLM-Based Query Systems for Multi-Modal Data". arXiv preprint arXiv:2602.01701 PDF
Zhuocheng Gan, Yifan Wang. "Efficient Filtered-ANN via Learning-based Query Planning". arXiv preprint arXiv:2602.17914 PDF
Tinghui Zhang, Yifan Wang, Daisy Zhe Wang. "SCOPE: A Generative Approach for LLM Prompt Compression". Accepted by COLM 2026
Yifan Wang, Haodi Ma, and Daisy Zhe Wang. "LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-Modal Data". Advances in Knowledge Discovery and Data Mining. PAKDD 2025.
Yifan Wang, Vyom Pathak, and Daisy Zhe Wang. "Xling: A Learned Filter Framework for Accelerating High-Dimensional Approximate Similarity Join." arXiv preprint arXiv:2402.13397 (2024). PDF
Yifan Wang, Haodi Ma, and Daisy Zhe Wang. "LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval". PVLDB, 16(2): 154 - 166, 2022. doi:10.14778/3565816.3565819 PDF
Yifan Wang, and Daisy Zhe Wang. "Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN". In Proceedings of the 26th International Conference on Extending Database Technology (EDBT), 28th March-31st March, 2023. PDF
Yifan Wang and Daisy Zhe Wang. 2022. Extensible Database Simulator for Fast Prototyping In-Database Algorithms. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM '22). Association for Computing Machinery, New York, NY, USA, 5029–5033. https://doi.org/10.1145/3511808.3557205 PDF
Yifan Wang. "A Survey on Efficient Processing of Similarity Queries over Neural Embeddings." arXiv preprint arXiv:2204.07922 (2022). PDF