Hi, I’m Parker, a computer science doctoral student at the University of California, Santa Barbara, advised by Professor Tao Yang. I’m currently working on improving the efficiency of large-scale text retrieval systems.

Previously, I earned my bachelor’s degree in computer science at Oregon State University. I was advised by Professor Patrick Donnelly and worked on applying machine learning techniques to music and sound.

Awards & Fellowships

• EMNLP ‘24 Outstanding Paper Award (Top 1%)
• UCSB Excellence in Computer Science Fellowship
• UCSB Regent’s Fellowship
• OSU URSA Engage Research Fellowship
• OSU Engineering Virtual Showcase - 2nd Place Industry Choice Award

Publications

Yingrui Yang, Parker Carlson, Yifan Qiao, Wentai Xie, Shanxiu He and Tao Yang. LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval. In: The 47th European Conference on Information Retrieval (ECIR ‘25), April 2025.

Yifan Qiao, Parker Carlson, Shanxiu He, Yingrui Yang and Tao Yang. Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval. In: The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ‘24), November 2024. Outstanding Paper Award (Top 1%).

Yingrui Yang, Parker Carlson, Shanxiu He, Yifan Qiao and Tao Yang. Cluster-based Partial Dense Retrieval Fused with Sparse Text Retrieval. In: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ‘24), July 2024.

Parker Carlson and Patrick J. Donnelly. Deep Learning Approaches for Sung Vowel Classification. In: 13th International Conference on Computational Intelligence in Music Sound Art and Design (EvoMUSART ‘24), April 2024.

Patrick J. Donnelly and Parker Carlson. Transposition of Simple Waveforms from Raw Audio with Deep Learning. In: 12th International Conference on Computational Intelligence in Music Sound Art and Design (EvoMUSART ‘23), April 2023.