World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
16214
World Ranking
4001
National Ranking
532

Overview

Qun Liu is affiliated with Huawei Technologies in China. Their research contributions focus predominantly within the field of Computer Science, with a strong emphasis on Artificial Intelligence and related subfields such as Computer Vision and Pattern Recognition, Information Systems, and Signal Processing.

The main topics of their scholarly work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech Recognition and Synthesis
  • Text Readability and Simplification
  • Speech and Dialogue Systems
  • Domain Adaptation and Few-Shot Learning

Qun Liu has published extensively, with a significant presence in key academic venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Findings of the Association for Computational Linguistics: ACL 2022
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • SSRN Electronic Journal

Among recent notable papers authored or co-authored by Qun Liu are:

  • DynaBERT: Dynamic BERT with Adaptive Width and Depth, 2020, arXiv (Cornell University)
  • ALP-KD: Attention-Based Layer Projection for Knowledge Distillation, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation, 2021, arXiv (Cornell University)
  • SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval, 2020, arXiv (Cornell University)
  • MINER: Multi-Interest Matching Network for News Recommendation, 2022, Findings of the Association for Computational Linguistics: ACL 2022

Frequent collaborators include Lifeng Shang, Xin Jiang (collaborated in two separate instances), Yasheng Wang, and Fei Mi. The number of joint publications ranges from 20 to over 60 for some co-authors.

Best Publications

  • TinyBERT: Distilling BERT for Natural Language Understanding

    Xiaoqi Jiao;Yichun Yin;Lifeng Shang;Xin Jiang

  • ERNIE: Enhanced Language Representation with Informative Entities

    Zhengyan Zhang;Xu Han;Zhiyuan Liu;Xin Jiang

  • Findings of the 2017 Conference on Machine Translation (WMT17)

    Ondřej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham

  • HHMM-based Chinese Lexical Analyzer ICTCLAS

    Hua-Ping Zhang;Hong-Kui Yu;De-Yi Xiong;Qun Liu

  • Word-level Textual Adversarial Attacking as Combinatorial Optimization

    Yuan Zang;Fanchao Qi;Chenghao Yang;Zhiyuan Liu

  • Tree-to-String Alignment Template for Statistical Machine Translation

    Yang Liu;Qun Liu;Shouxun Lin

  • Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

    Deyi Xiong;Qun Liu;Shouxun Lin

  • Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search

    Chris Hokamp;Qun Liu

  • Word Similarity Computing Based on How-net

    Qun Liu;Sujian Li

  • Bridging the Gap between Training and Inference for Neural Machine Translation.

    Wen Zhang;Yang Feng;Fandong Meng;Di You

  • Forest-Based Translation

    Haitao Mi;Liang Huang;Qun Liu

  • Exploiting Cross-Sentence Context for Neural Machine Translation

    Longyue Wang;Zhaopeng Tu;Andy Way;Qun Liu

  • Chinese Lexical Analysis Using Hierarchical Hidden Markov Model

    Hua-Ping Zhang;Qun Liu;Xue-Qi Cheng;Hao Zhang

  • Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT

    Zhiyong Wu;Yun Chen;Ben Kao;Qun Liu

  • Doubly-Attentive Decoder for Multi-modal Neural Machine Translation

    Iacer Calixto;Qun Liu;Nick Campbell

  • Incorporating Global Visual Features into Attention-based Neural Machine Translation.

    Iacer Calixto;Qun Liu

  • Knowledge Diffusion for Neural Dialogue Generation

    Shuman Liu;Hongshen Chen;Zhaochun Ren;Yang Feng

  • DynaBERT: Dynamic BERT with Adaptive Width and Depth

    Lu Hou;Zhiqi Huang;Lifeng Shang;Xin Jiang

  • Improving Statistical Machine Translation Performance by Training Data Selection and Optimization

    Yajuan Lu;Jin Huang;Qun Liu

  • Log-Linear Models for Word Alignment

    Yang Liu;Qun Liu;Shouxun Lin

  • TernaryBERT: Distillation-aware Ultra-low Bit BERT

    Wei Zhang;Lu Hou;Yichun Yin;Lifeng Shang

  • BinaryBERT: Pushing the Limit of BERT Quantization

    Haoli Bai;Wei Zhang;Lu Hou;Lifeng Shang

  • PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation.

    Wei Zeng;Xiaozhe Ren;Teng Su;Hui Wang

Frequent Co-Authors

Yang Liu
Yang Liu Tsinghua University
Andy Way
Andy Way Dublin City University
Zhaopeng Tu
Zhaopeng Tu Tencent (China)
Hang Li
Hang Li ByteDance
Maosong Sun
Maosong Sun Tsinghua University
Zhengdong Lu
Zhengdong Lu Huawei Technologies (China)
Jinsong Su
Jinsong Su Xiamen University
Liang Huang
Liang Huang Oregon State University
Josef van Genabith
Josef van Genabith Saarland University
Zhiyuan Liu
Zhiyuan Liu Tsinghua University

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