2026 Minh-Thang Luong: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	30	13811	13391	5484	5215	58	12965

Overview

Minh-Thang Luong is a researcher affiliated with Google in the United States specializing in computer science with a focus on artificial intelligence and related subfields. Their research output includes 32 publications in computer science, with 23 specifically addressing artificial intelligence topics and nine in computer vision and pattern recognition. They have also contributed to research in general health professions, radiology, nuclear medicine, imaging, and ocean engineering.

Their main research topics center around:

Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Machine Learning and Data Classification
COVID-19 diagnosis using AI
Advanced Text Analysis Techniques

Minh-Thang Luong's publications are featured prominently in venues such as:

arXiv (Cornell University)
Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
Neurocomputing
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Meeting of the Association for Computational Linguistics

Notable research papers include:

"Question Answering For Toxicological Information Extraction" (2022), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
"ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators" (2020), featured on arXiv (Cornell University)
"Towards a Human-like Open-Domain Chatbot" (2020), also on arXiv (Cornell University)
"Combined scaling for zero-shot transfer learning" (2023), published in Neurocomputing
"WINGNUS: Keyphrase extraction utilizing document logical structure" (2025), presented at the Meeting of the Association for Computational Linguistics

The researcher collaborates regularly with several coauthors, including:

Quoc V. Le
Christopher D. Manning
Hieu Pham
Zihang Dai
Golnaz Ghiasi

Best Publications

Effective Approaches to Attention-based Neural Machine Translation

Minh-Thang Luong;Hieu Pham;Christopher D. Manning

9386
Citations
Self-Training With Noisy Student Improves ImageNet Classification

Qizhe Xie;Minh-Thang Luong;Eduard Hovy;Quoc V. Le

2374
Citations
Unsupervised Data Augmentation for Consistency Training

Qizhe Xie;Zihang Dai;Eduard Hovy;Minh-Thang Luong

1799
Citations
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Unknown

1645
Citations
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Kevin Clark;Minh-Thang Luong;Quoc V. Le;Christopher D. Manning

902
Citations
Effective Approaches to Attention-based Neural Machine Translation

Minh-Thang Luong;Hieu Pham;Christopher D. Manning

798
Citations
Multi-task Sequence to Sequence Learning

Minh-Thang Luong;Quoc V. Le;Ilya Sutskever;Oriol Vinyals

749
Citations
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

Adams Wei Yu;David Dohan;Minh-Thang Luong;Rui Zhao

649
Citations
Massive Exploration of Neural Machine Translation Architectures

Denny Britz;Anna Goldie;Minh-Thang Luong;Quoc V. Le

597
Citations
Stanford neural machine translation systems for spoken language domains.

Minh-Thang Luong;Christopher D. Manning

541
Citations
Semi-Supervised Sequence Modeling with Cross-View Training

Kevin Clark;Minh-Thang Luong;Christopher D. Manning;Quoc V. Le

500
Citations
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

Unknown

475
Citations
A Hierarchical Neural Autoencoder for Paragraphs and Documents

Jiwei Li;Minh-Thang Luong;Dan Jurafsky

443
Citations
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

Adams Wei Yu;David Dohan;Minh-Thang Luong;Rui Zhao

408
Citations
Towards a Human-like Open-Domain Chatbot

Daniel Adiwardana;Minh-Thang Luong;David R. So;Jamie Hall

399
Citations
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models

Minh-Thang Luong;Christopher D. Manning

387
Citations
Online and linear-time attention by enforcing monotonic alignments

Colin Raffel;Minh-Thang Luong;Peter J. Liu;Ron J. Weiss

232
Citations
Self-training with Noisy Student improves ImageNet classification

Qizhe Xie;Minh-Thang Luong;Eduard Hovy;Quoc V. Le

221
Citations
BAM! Born-Again Multi-Task Networks for Natural Language Understanding

Kevin Clark;Minh-Thang Luong;Urvashi Khandelwal;Christopher D. Manning

218
Citations
Unsupervised Data Augmentation

Qizhe Xie;Zihang Dai;Eduard H. Hovy;Minh-Thang Luong

216
Citations
When Are Tree Structures Necessary for Deep Learning of Representations

Jiwei Li;Minh-Thang Luong;Dan Jurafsky;Eudard Hovy

202
Citations
Compression of Neural Machine Translation Models via Pruning

Abigail See;Minh-Thang Luong;Christopher D. Manning

193
Citations
Addressing the Rare Word Problem in Neural Machine Translation

Minh-Thang Luong;Ilya Sutskever;Quoc V. Le;Oriol Vinyals

154
Citations
Logical Structure Recovery in Scholarly Articles with Rich Document Features

Min-Yen Kan;Minh-Thang Luong;Thuy Dung Nguyen

129
Citations
Selfie: Self-supervised Pretraining for Image Embedding

Trieu H. Trinh;Minh-Thang Luong;Quoc V. Le

104
Citations
Meta Pseudo Labels

Hieu Pham;Zihang Dai;Qizhe Xie;Minh-Thang Luong

102
Citations
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models

Minh-Thang Luong;Christopher D. Manning

100
Citations

Frequent Co-Authors

Quoc V. Le Google (United States)

Christopher D. Manning Stanford University

Min-Yen Kan National University of Singapore

Eduard Hovy Carnegie Mellon University

Ilya Sutskever OpenAI

Graham Neubig Carnegie Mellon University

Oriol Vinyals DeepMind (United Kingdom)

Colin Raffel University of Toronto

Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence

Wojciech Zaremba OpenAI

External Links

Personal website of Minh-Thang Luong

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