SPARK 2014 and GNATprove - A competition report from builders of an industrial-strength verifying compiler. - Duc Hoang; Yannick Moy; Angela Wallenburg; Roderick Chapman (Int. J. Softw. Tools Technol. Transf., 2015)

Development of an ENVISAT Altimetry Processor Providing Sea Level Continuity Between Open Ocean and Arctic Leads. - Jean-Christophe Poisson; Graham Quartly; Andrey A. Kurekin; Pierre Thibaut; Duc Hoang; Francesco Nencioli (IEEE Trans. Geosci. Remote. Sens., 2018)

Inferring Convolutional Neural Networks' Accuracies from Their Architectural Characterizations. - Duc Hoang; Jesse Hamer; Gabriel N. Perdue; Steven R. Young; Jonathan A. Miller; Anushree Ghosh (ICMLA, 2019)

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generation for 3D Hand Pose Synthesis. - Zhenyu Wu 002; Duc Hoang; Shih-Yao Lin 001; Yusheng Xie; Liangjian Chen; Yen-Yu Lin; Zhangyang Wang; Wei Fan 001 (ACM Multimedia, 2020)

Fast inference of Boosted Decision Trees in FPGAs for particle physics. - Sioni Summers; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Duc Hoang; Sergo Jindariani; Edward Kreinar; Vladimir Loncar; Jennifer Ngadiuba; Maurizio Pierini; Dylan S. Rankin; Nhan Tran; et al. (CoRR, 2020)

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis. - Zhenyu Wu 002; Duc Hoang; Shih-Yao Lin 001; Yusheng Xie; Liangjian Chen; Yen-Yu Lin; Zhangyang Wang; Wei Fan 001 (CoRR, 2020)

Fast convolutional neural networks on FPGAs with hls4ml. - Thea Aarrestad; Vladimir Loncar; Maurizio Pierini; Sioni Summers; Jennifer Ngadiuba; Christoffer Petersson; Hampus Linander; Yutaro Iiyama; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Dylan S. Rankin; et al. (CoRR, 2021)

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices. - Farah Fahim; Benjamin Hawks; Christian Herwig; James Hirschauer; Sergo Jindariani; Nhan Tran; Luca P. Carloni; Giuseppe Di Guglielmo; Philip C. Harris; Jeffrey D. Krupa; Dylan S. Rankin; Manuel Blanco Valentin; et al. (CoRR, 2021)

Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (CoRR, 2021)

Fast convolutional neural networks on FPGAs with hls4ml. - Thea Aarrestad; Vladimir Loncar; Nicolò Ghielmetti; Maurizio Pierini; Sioni Summers; Jennifer Ngadiuba; Christoffer Petersson; Hampus Linander; Yutaro Iiyama; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; et al. (Mach. Learn. Sci. Technol., 2021)

Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml. - Jennifer Ngadiuba; Vladimir Loncar; Maurizio Pierini; Sioni Summers; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Dylan S. Rankin; Sergo Jindariani; Mia Liu; Kevin Pedro; Nhan Tran; et al. (Mach. Learn. Sci. Technol., 2021)

AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. - Duc Hoang; Haotao Wang; Handong Zhao; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Zhangyang Wang (CIKM, 2022)

Don't just prune by magnitude! Your mask topology is a secret weapon. - Duc Hoang; Souvik Kundu 009; Shiwei Liu 003; Zhangyang Wang (NeurIPS, 2023)

Online customer engagement in the post-pandemic scenario: a hybrid thematic analysis of the luxury fashion industry. - Duc Hoang; Sofia Kousi; Luis F. Martinez (Electron. Commer. Res., 2023)

Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. - Guihong Li; Duc Hoang; Kartikeya Bhardwaj; Ming Lin 002; Zhangyang Wang; Radu Marculescu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

SPD: Sync-Point Drop for efficient tensor parallelism of Large Language Models. - Han-Byul Kim; Duc Hoang; Arnav Kundu; Mohammad Samragh; Minsik Cho (CoRR, 2025)

Building Machine Learning Challenges for Anomaly Detection in Science. - Elizabeth G. Campolongo; Yuan-Tang Chou; Ekaterina Govorkova; Wahid Bhimji; Wei-Lun Chao; Chris Harris; Shih-Chieh Hsu; Hilmar Lapp; Mark S. Neubauer; Josephine M. Namayanja; Aneesh Subramanian; Philip C. Harris; et al. (CoRR, 2025)