Learning Movement through Human-Computer Co-Creative Improvisation. - Lucas Liu; Duri Long; Swar Gujrania; Brian Magerko (MOCO, 2019)

MoViz: A Visualization Tool for Comparing Motion Capture Data Clustering Algorithms. - Lucas Liu; Duri Long; Brian Magerko (MOCO, 2020)

Visualizing Improvisation in LuminAI, an AI Partner for Co-Creative Dance. - Duri Long; Lucas Liu; Swar Gujrania; Cassandra Naomi; Brian Magerko (MOCO, 2020)

BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition. - Yinghao Li; Pranav Shetty; Lucas Liu; Chao Zhang 014; Le Song (ACL/IJCNLP (1), 2021)

Multi-Head Adapter Routing for Data-Efficient Fine-Tuning. - Lucas Caccia; Edoardo Maria Ponti; Lucas Liu; Matheus Pereira; Nicolas Le Roux; Alessandro Sordoni (CoRR, 2022)

A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images. - Zhijun Chen; Erolcan Sayar; Haoyue Zhang; Helen Richards; Lucas Liu; Baris Turkbey; Michael Haffner; Stephanie A. Harmon (AIME (2), 2024)

Reinforcement Learning for Reasoning in Large Language Models with One Training Example. - Yiping Wang; Qing Yang; Zhiyuan Zeng; Liliang Ren; Lucas Liu; Baolin Peng; Hao Cheng 002; Xuehai He; Kuan Wang; Jianfeng Gao 001; Weizhu Chen; Shuohang Wang; et al. (CoRR, 2025)