Learning Semantic Relationships from Medical Codes. - Phillip Wallis; Padideh Danaee (FLAIRS, 2019)

Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions. - MohamadAli Torkamani; Phillip Wallis; Shiv Shankar; Amirmohammad Rooshenas (CoRR, 2019)

Differential Equation Units: Learning Functional Forms of Activation Functions from Data. - MohamadAli Torkamani; Shiv Shankar; Amirmohammad Rooshenas; Phillip Wallis (AAAI, 2020)

Automatic Event Detection of REM Sleep Without Atonia From Polysomnography Signals Using Deep Neural Networks. - Phillip Wallis; Daniel Yaeger; Alexander Kain; Xubo Song; Miranda Lim (ICASSP, 2020)

LoRA: Low-Rank Adaptation of Large Language Models. - Edward J. Hu; Yelong Shen; Phillip Wallis; Zeyuan Allen-Zhu; Yuanzhi Li; Shean Wang; Weizhu Chen (CoRR, 2021)

Efficient Fine-Tuning of Deep Neural Networks with Effective Parameter Allocation. - Phillip Wallis; Xubo Song (ICIP, 2022)

LoRA: Low-Rank Adaptation of Large Language Models. - Edward J. Hu; Yelong Shen; Phillip Wallis; Zeyuan Allen-Zhu; Yuanzhi Li; Shean Wang; Lu Wang; Weizhu Chen (ICLR, 2022)

AnoLLM: Large Language Models for Tabular Anomaly Detection. - Che-Ping Tsai; Ganyu Teng; Phillip Wallis; Wei Ding (ICLR, 2025)

Backtracking for Safety. - Bilgehan Sel; Dingcheng Li; Phillip Wallis; Vaishakh Keshava; Ming Jin 002; Siddhartha Reddy Jonnalagadda (CoRR, 2025)