2026 Furu Wei: 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	97	422	410	234	226	345	40642

Overview

Furu Wei is affiliated with Microsoft in the United States and has contributed extensively to research in computer science, particularly within artificial intelligence and its related subfields. Their work spans a wide range of topics in the broader areas of natural language processing, computer vision, and signal processing.

The main fields of their research include:

Computer Science

Within this domain, the prominent subfields they focus on are:

Artificial Intelligence
Computer Vision and Pattern Recognition
Signal Processing
Information Systems
Electrical and Electronic Engineering

The topics covered in their publications highlight trends in:

Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Speech Recognition and Synthesis
Domain Adaptation and Few-Shot Learning
Speech and Audio Processing
Music and Audio Processing

Furu Wei has been prominently published in venues such as:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
IEEE/ACM Transactions on Audio Speech and Language Processing

Their recent research papers include:

"Swin Transformer V2: Scaling Up Capacity and Resolution" (2022), published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing" (2022), published in the IEEE Journal of Selected Topics in Signal Processing
"Unified language model pre-training for natural language understanding and generation" (2024), available on arXiv (Cornell University)
"BEiT: BERT Pre-Training of Image Transformers" (2021), on arXiv (Cornell University)
"MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers" (2020), also on arXiv (Cornell University)

Throughout their career, Furu Wei has worked collaboratively with a number of frequent co-authors, which include:

Shaohan Huang
Shuming Ma
Shujie Liu
Jinyu Li
Li Dong

This network of collaborators has contributed to the development and dissemination of research related to natural language understanding, multimodal learning, and speech technologies, reflecting a cross-disciplinary approach within computer science.

Best Publications

Swin Transformer V2: Scaling Up Capacity and Resolution

Unknown

2875
Citations
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

Xiujun Li;Xi Yin;Chunyuan Li;Pengchuan Zhang

1575
Citations
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

Duyu Tang;Furu Wei;Nan Yang;Ming Zhou

1519
Citations
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Sanyuan Chen;Chengyi Wang;Zhengyang Chen;Yu Wu

1378
Citations
Unified Language Model Pre-training for Natural Language Understanding and Generation

Li Dong;Nan Yang;Wenhui Wang;Furu Wei

1273
Citations
LayoutLM: Pre-training of Text and Layout for Document Image Understanding

Yiheng Xu;Minghao Li;Lei Cui;Shaohan Huang

1098
Citations
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification

Li Dong;Furu Wei;Chuanqi Tan;Duyu Tang

1077
Citations
VL-BERT: Pre-training of Generic Visual-Linguistic Representations

Weijie Su;Xizhou Zhu;Yue Cao;Bin Li

981
Citations
BEiT: BERT Pre-Training of Image Transformers

Hangbo Bao;Li Dong;Furu Wei

932
Citations
Gated Self-Matching Networks for Reading Comprehension and Question Answering

Wenhui Wang;Nan Yang;Furu Wei;Baobao Chang

734
Citations
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

Wenhui Wang;Furu Wei;Li Dong;Hangbo Bao

696
Citations
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Unknown

588
Citations
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach

Xiaolong Wang;Furu Wei;Xiaohua Liu;Ming Zhou

581
Citations
Recognizing Named Entities in Tweets

Xiaohua Liu;Shaodian Zhang;Furu Wei;Ming Zhou

570
Citations
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

Unknown

559
Citations
Question Answering over Freebase with Multi-Column Convolutional Neural Networks

Li Dong;Furu Wei;Ming Zhou;Ke Xu

523
Citations
Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks

Unknown

466
Citations
LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding

Yang Xu;Yiheng Xu;Tengchao Lv;Lei Cui

453
Citations
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization

Xingxing Zhang;Furu Wei;Ming Zhou

451
Citations
Context preserving dynamic word cloud visualization

Weiwei Cui;Yingcai Wu;Shixia Liu;Furu Wei

404
Citations
SuperAgent: A Customer Service Chatbot for E-commerce Websites

Lei Cui;Shaohan Huang;Furu Wei;Chuanqi Tan

399
Citations
Faithful to the Original: Fact Aware Neural Abstractive Summarization

Ziqiang Cao;Furu Wei;Wenjie Li;Sujian Li

375
Citations
Context-Preserving, Dynamic Word Cloud Visualization

Weiwei Cui;Yingcai Wu;Shixia Liu;Furu Wei

373
Citations
Pseudo-Masked Language Models for Unified Language Model Pre-Training

Hangbo Bao;Li Dong;Furu Wei;Wenhui Wang

0
Citations

Frequent Co-Authors

Ming Zhou Langboat Technology

Li Dong Microsoft (United States)

Ke Xu Beihang University

Sujian Li Peking University

Wenjie Li Hong Kong Polytechnic University

Ting Liu Harbin Institute of Technology

Shixia Liu Tsinghua University

Yu Wu Microsoft Research Asia (China)

Bing Qin Harbin Institute of Technology

Duyu Tang Fudan University

External Links

Personal website of Furu Wei Google Scholar page

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