2026 Qun Liu: 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	56	4001	3888	532	529	492	16214

Qun Liu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Qun Liu sits on this spectrum.

32 publications 991+

This scientist: 492 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Qun Liu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Qun Liu sits on this spectrum.

30 D-Index 131+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

1654
Citations
ERNIE: Enhanced Language Representation with Informative Entities

Zhengyan Zhang;Xu Han;Zhiyuan Liu;Xin Jiang

1447
Citations
Findings of the 2017 Conference on Machine Translation (WMT17)

Ondřej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham

699
Citations
HHMM-based Chinese Lexical Analyzer ICTCLAS

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

674
Citations
Word-level Textual Adversarial Attacking as Combinatorial Optimization

Yuan Zang;Fanchao Qi;Chenghao Yang;Zhiyuan Liu

497
Citations
Tree-to-String Alignment Template for Statistical Machine Translation

Yang Liu;Qun Liu;Shouxun Lin

476
Citations
Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

Deyi Xiong;Qun Liu;Shouxun Lin

336
Citations
Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search

Chris Hokamp;Qun Liu

314
Citations
Word Similarity Computing Based on How-net

Qun Liu;Sujian Li

253
Citations
Bridging the Gap between Training and Inference for Neural Machine Translation.

Wen Zhang;Yang Feng;Fandong Meng;Di You

222
Citations
Forest-Based Translation

Haitao Mi;Liang Huang;Qun Liu

218
Citations
Exploiting Cross-Sentence Context for Neural Machine Translation

Longyue Wang;Zhaopeng Tu;Andy Way;Qun Liu

217
Citations
Chinese Lexical Analysis Using Hierarchical Hidden Markov Model

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

198
Citations
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT

Zhiyong Wu;Yun Chen;Ben Kao;Qun Liu

190
Citations
Doubly-Attentive Decoder for Multi-modal Neural Machine Translation

Iacer Calixto;Qun Liu;Nick Campbell

189
Citations
Incorporating Global Visual Features into Attention-based Neural Machine Translation.

Iacer Calixto;Qun Liu

174
Citations
Knowledge Diffusion for Neural Dialogue Generation

Shuman Liu;Hongshen Chen;Zhaochun Ren;Yang Feng

173
Citations
DynaBERT: Dynamic BERT with Adaptive Width and Depth

Lu Hou;Zhiqi Huang;Lifeng Shang;Xin Jiang

171
Citations
Improving Statistical Machine Translation Performance by Training Data Selection and Optimization

Yajuan Lu;Jin Huang;Qun Liu

163
Citations
Log-Linear Models for Word Alignment

Yang Liu;Qun Liu;Shouxun Lin

152
Citations
TernaryBERT: Distillation-aware Ultra-low Bit BERT

Wei Zhang;Lu Hou;Yichun Yin;Lifeng Shang

132
Citations
BinaryBERT: Pushing the Limit of BERT Quantization

Haoli Bai;Wei Zhang;Lu Hou;Lifeng Shang

107
Citations
PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation.

Wei Zeng;Xiaozhe Ren;Teng Su;Hui Wang

73
Citations

Frequent Co-Authors

Yang Liu Tsinghua University

Andy Way Dublin City University

Zhaopeng Tu Tencent (China)

Deyi Xiong Tianjin University

Maosong Sun Tsinghua University

Hang Li ByteDance

Zhengdong Lu Huawei Technologies (China)

Liang Huang Oregon State University

Jinsong Su Xiamen University

Josef van Genabith Saarland University

External Links

Personal website of Qun Liu Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring related online degrees can significantly broaden your opportunities in Computer Science. For those interested in expanding their data analysis skills, check out the cheapest data science masters in usa to find programs that combine affordability with strong career outcomes.

If your interests lean toward hardware or systems, an online master’s in electrical engineering degree can boost your expertise and open doors to high-demand tech roles.

Not everyone needs a full degree to enhance their career. There are many short certificate programs that pay well, allowing quick skill upgrades and rapid entry into specialized STEM positions.

If speed is your priority, consider the shortest master degree programs to earn a valuable credential and enter the workforce faster. Each of these options can help you tailor your educational path, align with your interests, and meet the demands of today’s tech-driven job market.