World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
70324
World Ranking
4415
National Ranking
2060

Overview

Zhifeng Chen is affiliated with Google in the United States and conducts research primarily in the field of Computer Science. Their work spans several subfields including Computer Networks and Communications, Plant Science, Artificial Intelligence, Signal Processing, and Molecular Biology.

The scientist's research topics cover a broad range of areas such as Plant Physiology and Cultivation Studies, Phytochemicals and Antioxidant Activities, Speech Recognition and Synthesis, Music and Audio Processing, Speech and Audio Processing, Autonomous Vehicle Technology and Safety, and Nerve Injury and Regeneration.

Zhifeng Chen has published numerous papers in various venues, with a notable focus on contributions to arXiv (Cornell University). Frequent publication venues include:

  • arXiv (Cornell University)
  • iScience
  • LWT
  • IEEE Journal of Selected Topics in Signal Processing
  • Applied Sciences

Recent papers authored or co-authored by Zhifeng Chen demonstrate engagement with contemporary challenges in machine learning, speech processing, and autonomous systems. Selected recent publications include:

  • BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition (2022), IEEE Journal of Selected Topics in Signal Processing
  • Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning (2022), arXiv (Cornell University)
  • Scene Transformer: A unified architecture for predicting multiple agent trajectories (2021), arXiv (Cornell University)
  • GSPMD: General and Scalable Parallelization for ML Computation Graphs (2021), arXiv (Cornell University)
  • AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (2023), arXiv (Cornell University)

Zhifeng Chen frequently collaborates with several researchers, including V.H. Escalona, Huanxiu Li, Bo Sun, Kehao Liang, and Hongmei Di.

Best Publications

  • TensorFlow: a system for large-scale machine learning

    Martín Abadi;Paul Barham;Jianmin Chen;Zhifeng Chen

  • TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

    Martín Abadi;Ashish Agarwal;Paul Barham;Eugene Brevdo

  • Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

    Yonghui Wu;Mike Schuster;Zhifeng Chen;Quoc V. Le

  • Scalability in Perception for Autonomous Driving: Waymo Open Dataset

    Pei Sun;Henrik Kretzschmar;Xerxes Dotiwalla;Aurelien Chouard

  • Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

    Jonathan Shen;Ruoming Pang;Ron J. Weiss;Mike Schuster

  • Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

    Melvin Johnson;Mike Schuster;Quoc V. Le;Maxim Krikun

  • Tacotron: Towards End-to-End Speech Synthesis

    Yuxuan Wang;R. J. Skerry-Ryan;Daisy Stanton;Yonghui Wu

  • State-of-the-Art Speech Recognition with Sequence-to-Sequence Models

    Chung-Cheng Chiu;Tara N. Sainath;Yonghui Wu;Rohit Prabhavalkar

  • GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

    Yanping Huang;Youlong Cheng;Ankur Bapna;Orhan Firat

  • Fast and memory-efficient regular expression matching for deep packet inspection

    Fang Yu;Zhifeng Chen;Yanlei Diao;T. V. Lakshman

  • LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

    Heiga Zen;Viet Dang;Rob Clark;Yu Zhang

  • Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

    Ye Jia;Yu Zhang;Ron J. Weiss;Quan Wang

  • PaLM 2 Technical Report

    Unknown

  • Hibernator: helping disk arrays sleep through the winter

    Qingbo Zhu;Zhifeng Chen;Lin Tan;Yuanyuan Zhou

  • GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

    Dmitry Lepikhin;HyoukJoong Lee;Yuanzhong Xu;Dehao Chen

  • The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

    Mia Xu Chen;Orhan Firat;Ankur Bapna;Melvin Johnson

  • Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges

    Naveen Arivazhagan;Ankur Bapna;Orhan Firat;Dmitry Lepikhin

  • Sequence-to-Sequence Models Can Directly Translate Foreign Speech

    Ron J. Weiss;Jan Chorowski;Navdeep Jaitly;Yonghui Wu

  • GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

    Yanping Huang;Youlong Cheng;Ankur Bapna;Orhan Firat

  • Scalability in Perception for Autonomous Driving: Waymo Open Dataset

    Pei Sun;Henrik Kretzschmar;Xerxes Dotiwalla;Aurelien Chouard

  • C-Miner: Mining Block Correlations in Storage Systems

    Zhenmin Li;Zhifeng Chen;Sudarshan M. Srinivasan;Yuanyuan Zhou

  • Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

    Jonathan Shen;Patrick Nguyen;Yonghui Wu;Zhifeng Chen

  • An Analysis of Incorporating an External Language Model into a Sequence-to-Sequence Model

    Anjuli Kannan;Yonghui Wu;Patrick Nguyen;Tara N. Sainath

Frequent Co-Authors

Yonghui Wu
Yonghui Wu Google (United States)
Patrick Nguyen
Patrick Nguyen Google (United States)
Tara N. Sainath
Tara N. Sainath Google (United States)
Rohit Prabhavalkar
Rohit Prabhavalkar Google (United States)
Navdeep Jaitly
Navdeep Jaitly Google (United States)
Ruoming Pang
Ruoming Pang Google (United States)
Chung-Cheng Chiu
Chung-Cheng Chiu Google (United States)
Vijay K. Vasudevan
Vijay K. Vasudevan Google (United States)
Yuxuan Wang
Yuxuan Wang ByteDance

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