FPGA accelerated DNA error correction. - Anand Ramachandran 001; Yun Heo; Wen-mei W. Hwu; Jian Ma 004; Deming Chen (DATE, 2015)

BLESS 2: accurate, memory-efficient and fast error correction method. - Yun Heo; Anand Ramachandran 001; Wen-mei W. Hwu; Jian Ma 004; Deming Chen (Bioinform., 2016)

Hardware Acceleration of the Pair-HMM Algorithm for DNA Variant Calling. - Sitao Huang; Gowthami Jayashri Manikandan; Anand Ramachandran 001; Kyle Rupnow; Wen-mei W. Hwu; Deming Chen (FPGA, 2017)

High-performance video content recognition with long-term recurrent convolutional network for FPGA. - Xiaofan Zhang 001; Xinheng Liu; Anand Ramachandran 001; Chuanhao Zhuge; Shibin Tang; Peng Ouyang; Zuofu Cheng; Kyle Rupnow; Deming Chen (FPL, 2017)

Machine learning on FPGAs to face the IoT revolution. - Xiaofan Zhang 001; Anand Ramachandran 001; Chuanhao Zhuge; Di He 004; Wei Zuo; Zuofu Cheng; Kyle Rupnow; Deming Chen (ICCAD, 2017)

GPU Acceleration of Advanced k-mer Counting for Computational Genomics. - Huiren Li; Anand Ramachandran 001; Deming Chen (ASAP, 2018)

Deep Learning for Better Variant Calling for Cancer Diagnosis and Treatment. - Anand Ramachandran 001; Huiren Li; Eric W. Klee; Steven S. Lumetta; Deming Chen (ASP-DAC, 2018)

A recurrent Markov state-space generative model for sequences. - Anand Ramachandran 001; Steven S. Lumetta; Eric W. Klee; Deming Chen (AISTATS, 2019)

HELLO: improved neural network architectures and methodologies for small variant calling. - Anand Ramachandran 001; Steven S. Lumetta; Eric W. Klee; Deming Chen (BMC Bioinform., 2021)

Learning to Retrieve Engaging Follow-Up Queries. - Christopher Richardson; Sudipta Kar; Anjishnu Kumar; Anand Ramachandran 001; Zeynab Raeesy; Omar Zia Khan; Abhinav Sethy (EACL (Findings), 2023)

PandoGen: Generating complete instances of future SARS-CoV-2 sequences using Deep Learning. - Anand Ramachandran 001; Steven S. Lumetta; Deming Chen (PLoS Comput. Biol., 2024)

Knowledge Distillation with Training Wheels. - Guanlin Liu; Anand Ramachandran 001; Tanmay Gangwani; Yan Fu; Abhinav Sethy (CoRR, 2025)