BESI: Reliable and Heterogeneous Sensing and Intervention for In-home Health Applications. - Ridwan Alam; Joshua Dugan; Nutta Homdee; Neeraj Gandhi; Benjamin Ghaemmaghami; Harshitha Meda; Azziza Bankole; Martha S. Anderson; Jiaqi Gong; Tonya L. Smith-Jackson; John C. Lach (CHASE, 2017)

Characterizing and Calibrating Low-Cost Wearable Ozone Sensors in Dynamic Environments. - Dawei Fan; Jiaqi Gong; Benjamin Ghaemmaghami; Anyi Zhang; John C. Lach; David B. Peden (CHASE, 2017)

Inferring Respiratory Minute Volume from Wrist Motion. - Ridwan Alam; David B. Peden; Benjamin Ghaemmaghami; John C. Lach (EMBC, 2019)

Training with Multi-Layer Embeddings for Model Reduction. - Benjamin Ghaemmaghami; Zihao Deng; Benjamin Y. Cho; Leo Orshansky; Ashish Kumar Singh; Mattan Erez; Michael Orshansky (CoRR, 2020)

Learning to Collide: Recommendation System Model Compression with Learned Hash Functions. - Benjamin Ghaemmaghami; Mustafa Ozdal; Rakesh Komuravelli; Dmitriy Korchev; Dheevatsa Mudigere; Krishnakumar Nair; Maxim Naumov (CoRR, 2022)

Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training. - Zihao Deng; Benjamin Ghaemmaghami; Ashish Kumar Singh; Benjamin Y. Cho; Leo Orshansky; Mattan Erez; Michael Orshansky (ACML, 2023)