Minh Ngoc Dinh

39 papers A* 1A 3B 4Misc 4Journal 10Unranked 16
YearRankTypeTitle / Venue / Authors
2026 A* conf
ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations.
AAAI
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li
2026 J jnl
Refine XGBoost with SHAP explainability for non-invasive early detection of diabetic kidney disease: Estimated cardiac output as a potential indicator.
Comput. Methods Programs Biomed.
Ngoc Minh To, Quoc Cuong Ngo, Barbara Polus, Minh Ngoc Dinh, Ahsan Khandoker, Anish Menon, Dinesh Kant Kumar
2025 J jnl
ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations.
CoRR
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li
2025 — conf
QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering.
ACL (1)
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li
2025 J jnl
QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering.
CoRR
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li
2024 — conf
Aspect-based Key Point Analysis for Quantitative Summarization of Reviews.
EACL (Findings)
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh
2024 — conf
IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries.
BioNLP@ACL
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh
2024 J jnl
IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries.
CoRR
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh
2024 — conf
Prompted Aspect Key Point Analysis for Quantitative Review Summarization.
ACL (1)
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria
2024 J jnl
Prompted Aspect Key Point Analysis for Quantitative Review Summarization.
CoRR
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria
2022 — ed.
ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14 - 18, 2022
ACSW
David Abramson, Minh Ngoc Dinh
2022 — conf
Abstractive summarization of public opinion in Vietnamese using graph-based method.
PACIS
Minh Ngoc Dinh, An Quang Tang, Ngoc Minh La
2022 — conf
Discussion on complexity and accuracy of high-performance concrete's compressive strength deep learning models.
RIVF
Hung Viet Pham, Minh Ngoc Dinh, Stanley Luong, TaeChoong Chung, Quang Dang Nguyen
2022 — conf
Phase-Field Modelling of Brittle Fracture Using Time-Series Forecasting.
ICCS (1)
Minh Ngoc Dinh, Chien Trung Vo, Cuong Tan Nguyen, Ngoc Minh La
2021 — conf
A Complete Text-Processing Pipeline for Business Performance Tracking.
ACIS
Minh Ngoc Dinh, Khanh Dinh Dang
2020 — conf
A Machine Learning-based Approach to Vietnamese Handwritten Medical Record Recognition.
ACIS
Tuan Minh Phung, Minh Ngoc Dinh, Duy Pham Thien Dang, Hoang Minh Tu Van, Louise Thwaites
2020 — conf
Measurements of errors in large-scale computational simulations at runtime.
RIVF
Minh Ngoc Dinh, Quang Minh Nguyen
2020 — conf
Predicting Phase-field Behavior of Brittle Fracture Model based on LSTM Time Series Forecasting Model.
RIVF
Chien Trung Vo, Minh Ngoc Dinh, Eric Dimla
2020 B conf
Tracking scientific simulation using online time-series modelling.
CCGRID
Minh Ngoc Dinh, Chien Trung Vo, David Abramson
2019 J jnl
Statistical and machine learning models for optimizing energy in parallel applications.
Int. J. High Perform. Comput. Appl.
Mark Endrei, Chao Jin, Minh Ngoc Dinh, David Abramson, Heidi Poxon, Luiz DeRose, Bronis R. de Supinski
2018 A conf
Energy efficiency modeling of parallel applications.
SC
Mark Endrei, Chao Jin, Minh Ngoc Dinh, David Abramson, Heidi Poxon, Luiz DeRose, Bronis R. de Supinski
2017 — conf
A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs.
PARCO
Mark Endrei, Chao Jin, Minh Ngoc Dinh, David Abramson, Heidi Poxon, Luiz DeRose, Bronis R. de Supinski
2017 — conf
A Computational Pipeline for the IUCN Risk Assessment for Meso-American Reef Ecosystem.
eScience
Hoang Anh Nguyen, Lucie Bland, Tristan Roberts, Siddeswara Guru, Minh Ngoc Dinh, David Abramson
2017 J jnl
A survey on software methods to improve the energy efficiency of parallel computing.
Int. J. High Perform. Comput. Appl.
Chao Jin, Bronis R. de Supinski, David Abramson, Heidi Poxon, Luiz DeRose, Minh Ngoc Dinh, Mark Endrei, Elizabeth R. Jessup
2016 Misc conf
Runtime Verification of Scientific Codes Using Statistics.
ICCS
Minh Ngoc Dinh, David Abramson, Chao Jin
2016 — conf
Runtime Verification of Scientific Computing: Towards an Extreme Scale.
ESPT@SC
Minh Ngoc Dinh, Chao Jin, David Abramson, Clinton L. Jeffery
2015 J jnl
A data-centric framework for debugging highly parallel applications.
Softw. Pract. Exp.
Minh Ngoc Dinh, David Abramson, Chao Jin, Andrew Gontarek, Bob Moench, Luiz De Rose
2015 A conf
Relative debugging for a highly parallel hybrid computer system.
SC
Luiz De Rose, Andrew Gontarek, Aaron Vose, Robert Moench, David Abramson, Minh Ngoc Dinh, Chao Jin
2014 J jnl
Scalable Relative Debugging.
IEEE Trans. Parallel Distributed Syst.
Minh Ngoc Dinh, David Abramson, Chao Jin
2014 J jnl
Statistical assertion: A more powerful method for debugging scientific applications.
J. Comput. Sci.
Minh Ngoc Dinh, David Abramson, Chao Jin
2014 Misc conf
Supporting Relative Debugging for Large-scale UPC Programs.
ICCS
Minh Ngoc Dinh, David Abramson, Chao Jin, Luiz De Rose, Bob Moench, Andrew Gontarek
2012 B conf
A Scalable Parallel Debugging Library with Pluggable Communication Protocols.
CCGRID
Chao Jin, David Abramson, Minh Ngoc Dinh, Andrew Gontarek, Robert Moench, Luiz De Rose
2012 Misc conf
Debugging Scientific Applications With Statistical Assertions.
ICCS
Minh Ngoc Dinh, David Abramson, Chao Jin, Donny Kurniawan, Andrew Gontarek, Bob Moench, Luiz De Rose
2012 B conf
Scalable parallel debugging with statistical assertions.
PPoPP
Minh Ngoc Dinh, David Abramson, Chao Jin, Andrew Gontarek, Bob Moench, Luiz De Rose
2011 B conf
Assertion Based Parallel Debugging.
CCGRID
Minh Ngoc Dinh, David Abramson, Donny Kurniawan, Chao Jin, Bob Moench, Luiz De Rose
2011 — conf
Integrating Scientific Workflows and Large Tiled Display Walls: Bridging the Visualization Divide.
ICPP Workshops
Hoang Nguyen, David Abramson, Blair Bethwaite, Minh Ngoc Dinh, Colin Enticott, Slavisa Garic, A. B. M. Russel, Stephen Firth, Ian Harper, Martin Lackmann, Mary Vail, Stefan Schek
2010 Misc conf
An abstract virtual instrument system for high throughput automatic microscopy.
ICCS
A. B. M. Russel, David Abramson, Blair Bethwaite, Minh Ngoc Dinh, Colin Enticott, Stephen Firth, Slavisa Garic, Ian Harper, Martin Lackmann, Stefan Schek, Mary Vail
2010 A conf
Data centric highly parallel debugging.
HPDC
David Abramson, Minh Ngoc Dinh, Donny Kurniawan, Bob Moench, Luiz De Rose
2009 — conf
Virtual Microscopy and Analysis Using Scientific Workflows.
eScience
David Abramson, 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, Mary Vail