Giving patients a lift - the robotic nursing assistant (RoNA). - Jienan Ding; Yi-Je Lim; Mario Solano; Kevin Shadle; Chris Park; Chris Lin; John Hu (TePRA, 2014)

Random pattern generation for post-silicon validation of DDR3 SDRAM. - Hao-Yu Yang; Shih-Hua Kuo; Tzu-Hsuan Huang; Chi-Hung Chen; Chris Lin; Mango Chia-Tso Chao (VTS, 2015)

Predicting Inpatient Discharge Prioritization With Electronic Health Records. - Anand Avati; Stephen Pfohl; Chris Lin; Thao Nguyen; Meng Zhang; Philip Hwang; Jessica Wetstone; Kenneth Jung; Andrew Y. Ng; Nigam H. Shah (CoRR, 2018)

Graph Neural Networks Including Sparse Interpretability. - Chris Lin; Gerald J. Sun; Krishna C. Bulusu; Jonathan R. Dry; Marylens Hernandez (CoRR, 2020)

Preliminary Design of an AI Service to Assist Self-regulated Learning by Edge Computing. - Eason Chen; Yuen-Hsien Tseng; Yu-Tang You; Kuo-Ping Lo; Chris Lin (AIED (2), 2022)

Contrastive Corpus Attribution for Explaining Representations. - Chris Lin; Hugh Chen; Chanwoo Kim 002; Su-In Lee (ICLR, 2023)

On the Robustness of Removal-Based Feature Attributions. - Chris Lin; Ian Covert; Su-In Lee (NeurIPS, 2023)

Efficient Shapley Values for Attributing Global Properties of Diffusion Models to Data Group. - Chris Lin; Mingyu Lu; Chanwoo Kim; Su-In Lee (CoRR, 2024)

An Efficient Framework for Crediting Data Contributors of Diffusion Models. - Mingyu Lu; Chris Lin; Chanwoo Kim; Su-In Lee (ICLR, 2025)

Ensembling Sparse Autoencoders. - Soham Gadgil; Chris Lin; Su-In Lee (CoRR, 2025)