General-Purpose Computation on GPUs in the Browser Using gpu.js. - Fazli Sapuan; Matthew Saw; Eugene Cheah (Comput. Sci. Eng., 2018)

U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation. - Shuhang Wang; Szu-Yeu Hu; Eugene Cheah; Xiaohong Wang; Jingchao Wang; Lei Chen; Masoud Baikpour; Arinc Ozturk; Qian Li 032; Shinn-Huey Chou; Constance D. Lehman; Viksit Kumar; et al. (CoRR, 2020)

Network-Agnostic Knowledge Transfer for Medical Image Segmentation. - Shuhang Wang; Vivek Kumar Singh 008; Alex Benjamin; Mercy Asiedu; Elham Yousef Kalafi; Eugene Cheah; Viksit Kumar; Anthony E. Samir (CoRR, 2021)

Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation. - Shuhang Wang; Vivek Kumar Singh 008; Eugene Cheah; Xiaohong Wang; Qian Li 032; Shinn-Huey Chou; Constance D. Lehman; Viksit Kumar; Anthony E. Samir (Comput. Biol. Medicine, 2022)

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. - Bo Peng; Daniel Goldstein; Quentin Anthony; Alon Albalak; Eric Alcaide; Stella Biderman; Eugene Cheah; Xingjian Du; Teddy Ferdinan; Haowen Hou; Przemyslaw Kazienko; Kranthi Kiran GV; et al. (CoRR, 2024)

GoldFinch: High Performance RWKV/Transformer Hybrid with Linear Pre-Fill and Extreme KV-Cache Compression. - Daniel Goldstein; Fares Obeid; Eric Alcaide; Guangyu Song; Eugene Cheah (CoRR, 2024)

RADLADS: Rapid Attention Distillation to Linear Attention Decoders at Scale. - Daniel Goldstein; Eric Alcaide; Janna Lu; Eugene Cheah (CoRR, 2025)