Virtual Microscopy and Analysis Using Scientific Workflows. - David Abramson 001; Blair Bethwaite; Minh Ngoc Dinh; Colin Enticott; Stephen Firth; Slavisa Garic; Ian Harper; Martin Lackmann; Hoang Nguyen; Tirath Ramdas; A. B. M. Russel; Stefan Schek; et al. (eScience, 2009)

Data centric highly parallel debugging. - David Abramson 001; Minh Ngoc Dinh; Donny Kurniawan; Bob Moench; Luiz De Rose (HPDC, 2010)

An abstract virtual instrument system for high throughput automatic microscopy. - A. B. M. Russel; David Abramson 001; Blair Bethwaite; Minh Ngoc Dinh; Colin Enticott; Stephen Firth; Slavisa Garic; Ian Harper; Martin Lackmann; Stefan Schek; Mary Vail (ICCS, 2010)

Assertion Based Parallel Debugging. - Minh Ngoc Dinh; David Abramson 001; Donny Kurniawan; Chao Jin 001; Bob Moench; Luiz De Rose (CCGRID, 2011)

Integrating Scientific Workflows and Large Tiled Display Walls: Bridging the Visualization Divide. - Hoang Nguyen; David Abramson 001; Blair Bethwaite; Minh Ngoc Dinh; Colin Enticott; Slavisa Garic; A. B. M. Russel; Stephen Firth; Ian Harper; Martin Lackmann; Mary Vail; Stefan Schek (ICPP Workshops, 2011)

A Scalable Parallel Debugging Library with Pluggable Communication Protocols. - Chao Jin 001; David Abramson 001; Minh Ngoc Dinh; Andrew Gontarek; Robert Moench; Luiz De Rose (CCGRID, 2012)

Scalable parallel debugging with statistical assertions. - Minh Ngoc Dinh; David Abramson 001; Chao Jin 001; Andrew Gontarek; Bob Moench; Luiz De Rose (PPoPP, 2012)

Debugging Scientific Applications With Statistical Assertions. - Minh Ngoc Dinh; David Abramson 001; Chao Jin 001; Donny Kurniawan; Andrew Gontarek; Bob Moench; Luiz De Rose (ICCS, 2012)

Supporting Relative Debugging for Large-scale UPC Programs. - Minh Ngoc Dinh; David Abramson 001; Chao Jin 001; Luiz De Rose; Bob Moench; Andrew Gontarek (ICCS, 2014)

Statistical assertion: A more powerful method for debugging scientific applications. - Minh Ngoc Dinh; David Abramson 001; Chao Jin 001 (J. Comput. Sci., 2014)

Scalable Relative Debugging. - Minh Ngoc Dinh; David Abramson 001; Chao Jin 001 (IEEE Trans. Parallel Distributed Syst., 2014)

Relative debugging for a highly parallel hybrid computer system. - Luiz De Rose; Andrew Gontarek; Aaron Vose; Robert Moench; David Abramson 001; Minh Ngoc Dinh; Chao Jin 001 (SC, 2015)

A data-centric framework for debugging highly parallel applications. - Minh Ngoc Dinh; David Abramson 001; Chao Jin 001; Andrew Gontarek; Bob Moench; Luiz De Rose (Softw. Pract. Exp., 2015)

Runtime Verification of Scientific Codes Using Statistics. - Minh Ngoc Dinh; David Abramson 001; Chao Jin 001 (ICCS, 2016)

Runtime Verification of Scientific Computing: Towards an Extreme Scale. - Minh Ngoc Dinh; Chao Jin 001; David Abramson 001; Clinton L. Jeffery (ESPT@SC, 2016)

A Computational Pipeline for the IUCN Risk Assessment for Meso-American Reef Ecosystem. - Hoang Anh Nguyen; Lucie Bland; Tristan Roberts; Siddeswara Guru; Minh Ngoc Dinh; David Abramson 001 (eScience, 2017)

A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs. - Mark Endrei; Chao Jin 001; Minh Ngoc Dinh; David Abramson 001; Heidi Poxon; Luiz DeRose; Bronis R. de Supinski (PARCO, 2017)

A survey on software methods to improve the energy efficiency of parallel computing. - Chao Jin 001; Bronis R. de Supinski; David Abramson 001; Heidi Poxon; Luiz DeRose; Minh Ngoc Dinh; Mark Endrei; Elizabeth R. Jessup (Int. J. High Perform. Comput. Appl., 2017)

Energy efficiency modeling of parallel applications. - Mark Endrei; Chao Jin 001; Minh Ngoc Dinh; David Abramson 001; Heidi Poxon; Luiz DeRose; Bronis R. de Supinski (SC, 2018)

Statistical and machine learning models for optimizing energy in parallel applications. - Mark Endrei; Chao Jin 001; Minh Ngoc Dinh; David Abramson 001; Heidi Poxon; Luiz DeRose; Bronis R. de Supinski (Int. J. High Perform. Comput. Appl., 2019)

A Machine Learning-based Approach to Vietnamese Handwritten Medical Record Recognition. - Tuan Minh Phung; Minh Ngoc Dinh; Duy Pham Thien Dang; Hoang Minh Tu Van; Louise Thwaites (ACIS, 2020)

Tracking scientific simulation using online time-series modelling. - Minh Ngoc Dinh; Chien Trung Vo; David Abramson 001 (CCGRID, 2020)

Measurements of errors in large-scale computational simulations at runtime. - Minh Ngoc Dinh; Quang Minh Nguyen (RIVF, 2020)

Predicting Phase-field Behavior of Brittle Fracture Model based on LSTM Time Series Forecasting Model. - Chien Trung Vo; Minh Ngoc Dinh; Eric Dimla (RIVF, 2020)

A Complete Text-Processing Pipeline for Business Performance Tracking. - Minh Ngoc Dinh; Khanh Dinh Dang (ACIS, 2021)

Phase-Field Modelling of Brittle Fracture Using Time-Series Forecasting. - Minh Ngoc Dinh; Chien Trung Vo; Cuong Tan Nguyen; Ngoc Minh La (ICCS (1), 2022)

Abstractive summarization of public opinion in Vietnamese using graph-based method. - Minh Ngoc Dinh; An Quang Tang; Ngoc Minh La (PACIS, 2022)

Discussion on complexity and accuracy of high-performance concrete's compressive strength deep learning models. - Hung Viet Pham; Minh Ngoc Dinh; Stanley Luong; TaeChoong Chung; Quang Dang Nguyen (RIVF, 2022)

Prompted Aspect Key Point Analysis for Quantitative Review Summarization. - An Quang Tang; Xiuzhen Zhang 001; Minh Ngoc Dinh; Erik Cambria (ACL (1), 2024)

IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries. - An Quang Tang; Xiuzhen Zhang 001; Minh Ngoc Dinh (BioNLP@ACL, 2024)

Aspect-based Key Point Analysis for Quantitative Summarization of Reviews. - An Quang Tang; Xiuzhen Zhang 001; Minh Ngoc Dinh (EACL (Findings), 2024)

QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering. - An Quang Tang; Xiuzhen Zhang 001; Minh Ngoc Dinh; Zhuang Li (ACL (1), 2025)