Network-based multi-task learning models for biomarker selection and cancer outcome prediction. - Zhibo Wang; Zhezhi He; Milan Shah; Teng Zhang 002; Deliang Fan; Wei Zhang 076 (Bioinform., 2020)

Novel Continuous Respiratory Rate Monitoring Using an Armband Wearable Sensor. - Nicholas Huang; Menglian Zhou; Dayi Bian; Pooja Mehta; Milan Shah; Kuldeep Singh Rajput; Nandakumar Selvaraj (EMBC, 2021)

Considerations in High Voltage Lateral ESD PNP Design. - Milan Shah; Yujie Zhou; David LaFonteese; Elyse Rosenbaum (IRPS, 2021)

Pulse Rate Guided Oxygen Saturation Monitoring Using a Wearable Armband Sensor. - Nicholas Huang; Dayi Bian; Menglian Zhou; Pooja Mehta; Milan Shah; Kuldeep Singh Rajput; Maulik Majmudar; Nandakumar Selvaraj (EMBC, 2022)

Accelerating Random Forest Classification on GPU and FPGA. - Milan Shah; Reece Neff; Hancheng Wu; Marco Minutoli; Antonino Tumeo; Michela Becchi (ICPP, 2022)

Lightweight Huffman Coding for Efficient GPU Compression. - Milan Shah; Xiaodong Yu 001; Sheng Di; Michela Becchi; Franck Cappello (ICS, 2023)

GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. - Milan Shah; Xiaodong Yu 001; Sheng Di; Danylo Lykov; Yuri Alexeev; Michela Becchi; Franck Cappello (IPDPS, 2023)

A Portable, Fast, DCT-based Compressor for AI Accelerators. - Milan Shah; Xiaodong Yu 001; Sheng Di; Michela Becchi; Franck Cappello (HPDC, 2024)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (CoRR, 2024)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (ACM Comput. Surv., 2025)