Yifan Wang

According to our database, Yifan Wang authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PilotScope: Steering Databases with Machine Learning Drivers.

Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou

Proc. VLDB Endow., January, 2024

Xling: A Learned Filter Framework for Accelerating High-Dimensional Approximate Similarity Join.

Yifan Wang, Vyom Pathak, Daisy Zhe Wang

CoRR, 2024

2023

Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN.

Yifan Wang, Daisy Zhe Wang

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval.

Yifan Wang, Haodi Ma, Daisy Zhe Wang

Proc. VLDB Endow., 2022

A Survey on Efficient Processing of Similarity Queries over Neural Embeddings.

Yifan Wang

CoRR, 2022

Extensible Database Simulator for Fast Prototyping In-Database Algorithms.

Yifan Wang, Daisy Zhe Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2019

GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.

Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro A. Szekely, T. K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel E. Rodríguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang

Proceedings of the 2019 Text Analysis Conference, 2019