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D-Index & Metrics

Computer Science

D-Index
44
Citations
11129
World Ranking
7434
National Ranking
3239

Overview

Jiatao Gu is a researcher affiliated with Apple in the United States. Their primary area of work centers on computer science, with substantial contributions across several subfields including artificial intelligence, computer vision and pattern recognition, computer graphics and computer-aided design, computational mechanics, and signal processing.

The scientist's research has focused on topics such as natural language processing techniques, topic modeling, speech recognition and synthesis, generative adversarial networks and image synthesis, domain adaptation and few-shot learning, computer graphics and visualization techniques, and advanced vision and imaging.

Jiatao Gu has coauthored multiple papers with frequent collaborators including Changhan Wang, Josh Susskind, Shuangfei Zhai, Juan Pino, and Navdeep Jaitly.

Notable recent publications include:

  • "Multilingual Denoising Pre-training for Neural Machine Translation," 2020, published in Transactions of the Association for Computational Linguistics
  • "Multilingual Denoising Pre-training for Neural Machine Translation," 2020, published on arXiv (Cornell University)
  • "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language," 2022, published on arXiv (Cornell University)
  • "CLEAR: Contrastive Learning for Sentence Representation," 2020, published on arXiv (Cornell University)
  • "Neural actor," 2021, published in ACM Transactions on Graphics

The majority of Jiatao Gu's publications have appeared in venues such as arXiv (Cornell University), the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), the Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Transactions of the Association for Computational Linguistics, and ACM Transactions on Graphics.

Best Publications

  • Incorporating Copying Mechanism in Sequence-to-Sequence Learning

    Jiatao Gu;Zhengdong Lu;Hang Li;Victor O.K. Li

  • Multilingual Denoising Pre-training for Neural Machine Translation

    Yinhan Liu;Jiatao Gu;Naman Goyal;Xian Li

  • PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

    Saining Xie;Jiatao Gu;Demi Guo;Charles R. Qi

  • Neural Sparse Voxel Fields

    Lingjie Liu;Jiatao Gu;Kyaw Zaw Lin;Tat-Seng Chua

  • Non-Autoregressive Neural Machine Translation

    Jiatao Gu;James Bradbury;Caiming Xiong;Victor O. K. Li

  • Intelligent Time-Adaptive Transient Stability Assessment System

    James J. Q. Yu;David J. Hill;Albert Y. S. Lam;Jiatao Gu

  • Neural actor

    Unknown

  • Meta-learning for low-resource neural machine translation

    Jiatao Gu;Yong Wang;Yun Chen;Victor O. K. Li

  • Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning

    James J. Q. Yu;Wen Yu;Jiatao Gu

  • Universal Neural Machine Translation for Extremely Low Resource Languages

    Jiatao Gu;Hany Hassan;Jacob Devlin;Victor O.K. Li

  • Levenshtein Transformer

    Jiatao Gu;Changhan Wang;Junbo Zhao

  • CLEAR: Contrastive Learning for Sentence Representation.

    Zhuofeng Wu;Sinong Wang;Jiatao Gu;Madian Khabsa

  • Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

    Yuqing Tang;Chau Tran;Xian Li;Peng-Jen Chen

  • Learning to Translate in Real-time with Neural Machine Translation

    Jiatao Gu;Graham Neubig;Kyunghyun Cho;Victor O.K. Li

  • StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

    Jiatao Gu;Lingjie Liu;Peng Wang;Christian Theobalt

  • Textless Speech-to-Speech Translation on Real Data

    Unknown

  • Search Engine Guided Neural Machine Translation

    Jiatao Gu;Yong Wang;Kyunghyun Cho;Victor O.K. Li

  • Neural Machine Translation with Byte-Level Subwords

    Changhan Wang;Kyunghyun Cho;Jiatao Gu

  • Understanding Knowledge Distillation in Non-autoregressive Machine Translation

    Chunting Zhou;Jiatao Gu;Graham Neubig

  • FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

    Ebrahim Ansari;Amittai Axelrod;Nguyen Bach;Ondrej Bojar

  • Revisiting Self-Training for Neural Sequence Generation.

    Junxian He;Jiatao Gu;Jiajun Shen;Marc'Aurelio Ranzato

  • Meta-Learning for Low-Resource Neural Machine Translation

    Jiatao Gu;Yong Wang;Yun Chen;Kyunghyun Cho

  • Detecting Hallucinated Content in Conditional Neural Sequence Generation

    Chunting Zhou;Graham Neubig;Jiatao Gu;Mona Diab

  • Understanding Knowledge Distillation in Non-autoregressive Machine Translation

    Chunting Zhou;Graham Neubig;Jiatao Gu

Frequent Co-Authors

Victor O. K. Li
Victor O. K. Li University of Hong Kong
Kyunghyun Cho
Kyunghyun Cho New York University
Graham Neubig
Graham Neubig Carnegie Mellon University
Luke Zettlemoyer
Luke Zettlemoyer University of Washington
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Marc'Aurelio Ranzato
Marc'Aurelio Ranzato DeepMind (United Kingdom)
Michael Auli
Michael Auli Facebook (United States)
Zhengdong Lu
Zhengdong Lu Huawei Technologies (China)
Hang Li
Hang Li ByteDance
Michael Lewis
Michael Lewis University of Pittsburgh

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