A survival model generalized to regression learning algorithms. - Yuanfang Guan; Hongyang Li; Daiyao Yi; Dongdong Zhang; Changchang Yin; Keyu Li; Ping Zhang 016 (Nat. Comput. Sci., 2021)

Modeling the behavior of multiple subjects using a Cauchy-Schwarz regularized Partitioned Subspace Variational AutoEncoder (CS-PS-VAE). - Daiyao Yi; Shreya Saxena (EMBC, 2022)

Representation of molecules for drug response prediction. - Xin An; Xi Chen; Daiyao Yi; Hongyang Li; Yuanfang Guan (Briefings Bioinform., 2022)

Micro-dissection and integration of long and short reads to create a robust catalog of kidney compartment-specific isoforms. - Hongyang Li; Ridvan Eksi; Daiyao Yi; Bradley Godfrey; Lisa R. Mathew; Christopher L. O'Connor; Markus Bitzer; Matthias Kretzler; Rajasree Menon; Yuanfang Guan (PLoS Comput. Biol., 2022)

Neural Correlations Across Mice During Spontaneous and Task-Related Behaviors. - Daiyao Yi; Shreya Saxena (NER, 2023)

Unsupervised Human Activity Recognition Learning for Disassembly Tasks. - Xinyao Zhang; Daiyao Yi; Sara Behdad; Shreya Saxena (IEEE Trans. Ind. Informatics, 2024)

Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity. - Daiyao Yi; Hao Dong; Michael James Higley; Anne Churchland; Shreya Saxena (ICLR, 2025)