CuPBoP: Making CUDA a Portable Language. - Han, Ruobing; Chen, Jun; Garg, Bhanu; Zhou, Xule; Lu, John; Young, Jeffrey; Sim, Jaewoong; Kim, Hyesoon (ACM Trans. Design Autom. Electr. Syst., 2024)

Short: Deep Learning Approach to Skeletal Performance Evaluation of Physical Therapy Exercises. - Garg, Bhanu; Postlmayr, Alexander; Cosman, Pamela C.; Dey, Sujit (2023)

Fair and Accurate Decision Making through Group-Aware Learning. - Hosseini, Ramtin; Zhang, Li; Garg, Bhanu; Xie, Pengtao (2023)

CuPBoP: A Framework to Make CUDA Portable. - Han, Ruobing; Chen, Jun; Garg, Bhanu; Young, Jeffrey; Sim, Jaewoong; Kim, Hyesoon (2023)

Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy. - Hosseini, Ramtin; Zhang, Li; Garg, Bhanu; Xie, Pengtao (CoRR, 2023)

Learning from Mistakes - a Framework for Neural Architecture Search. - Garg, Bhanu; Zhang, Li; Sridhara, Pradyumna; Hosseini, Ramtin; Xing, Eric P.; Xie, Pengtao (2022)

From Video to Images: Contrastive Pretraining for Emotion Recognition from Single Image (Student Abstract). - Garg, Bhanu; Kim, Kijun; Ranjan, Sudhanshu (2022)

CuPBoP: CUDA for Parallelized and Broad-range Processors. - Han, Ruobing; Chen, Jun; Garg, Bhanu; Young, Jeffrey; Sim, Jaewoong; Kim, Hyesoon (CoRR, 2022)

Learning from Mistakes - A Framework for Neural Architecture Search. - Garg, Bhanu; Zhang, Li; Sridhara, Pradyumna; Hosseini, Ramtin; Xing, Eric P.; Xie, Pengtao (CoRR, 2021)

Robust Deep Ordinal Regression under Label Noise. - Garg, Bhanu; Manwani, Naresh (2020)

Robust Deep Ordinal Regression Under Label Noise. - Garg, Bhanu; Manwani, Naresh (CoRR, 2019)