Furu Wei

31.1k citations

233 papers · 12.8k indexed · 10 hit papers · h-index 57

Artificial Intelligence top 0.02%
- Topic Modeling 161
- Natural Language Processing Techniques 141
- Advanced Text Analysis Techniques 42
- Speech Recognition and Synthesis 25
- Sentiment Analysis and Opinion Mining 19
- Text and Document Classification Technologies 16
Computer Vision and Pattern Recognition top 0.2%
- Multimodal Machine Learning Applications 46
- Video Analysis and Summarization 11
Signal Processing top 0.5%
Information Systems top 0.2%
Statistical and Nonlinear Physics top 1%

Co-authors: Ming Zhou Nan Yang Duyu Tang Li Dong Bing Qin Ting Liu Wenjie Li Ke Xu
Cited by: Artificial Intelligence Computer Vision and Pattern Recognition Signal Processing
Journals: IEEE/ACM Transactions on Audio Speech and Language Processing (9 papers)Computational Linguistics (2 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)
Partner nations: China United States United Kingdom

In The Last Decade

Furu Wei

222 papers receiving 12.2k citations

Hit Papers

10 papers align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2025 IEEE Transactions on Audio Speech and Language Processing
2023 Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks
2023 Proceedings of the AAAI Conference on Artificial Intelligence
2022 Proceedings of the 30th ACM International Conference on Multimedia
2022 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2022 IEEE Journal of Selected Topics in Signal Processing
2021 LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding
2017 Gated Self-Matching Networks for Reading Comprehension and Question Answering
2014 Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification
2014 Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

Peers

Countries citing papers authored by Furu Wei

Since Specialization

Citations

This map shows the geographic impact of Furu Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Furu Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Furu Wei more than expected).

Fields of papers citing papers by Furu Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Furu Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Furu Wei. The network helps show where Furu Wei may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Furu Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Furu Wei Line = papers co-authored together Furu Wei links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data Haonan Chen,BP Shankar,Nan Yang,Yutao Zhu,Miki Gibo,Furu Wei,Zhicheng Dou	2025	0
2	Learning to Rank in Generative Retrieval Proceedings of the AAAI Conference on Artificial Intelligence ·Yongqi Li,Nan Yang,BP Shankar,Furu Wei,Wenjie Li	2024	2
3	LongEmbed: Extending Embedding Models for Long Context Retrieval Paco Tortosa Pastor,Liang Wang,林三宝,Jan-Erik Johnsson,Wenhao Wu,Furu Wei,Sujian Li	2024	4
4	HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition Yuxuan Liu,Brzozowy,Shaohan Huang,Zihan Zhang,徐荣利,Furu Wei,F.F.H.J. van Valkenburg,Sánchez Rodríguez Juan José,Alhassan Mahdi Alsalem	2024	0
5	Pre-training Language Model as a Multi-perspective Course Learner Anushree Narayanan,Shaohan Huang,Zihan Zhang,수길 양,Zhen-Hua Ling,徐荣利,Furu Wei,Weiwei Deng,Alhassan Mahdi Alsalem	2023	0
6	Multiview Identifiers Enhanced Generative Retrieval PolyU Institutional Research Archive (Hong Kong Polytechnic University) ·Yongqi Li,Nan Yang,Liang Wang,Furu Wei,Wenjie Li	2023	14
7	Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers Damai Dai,Yutao Sun,Dong Li,Yaru Hao,Shuming Ma,Zhifang Sui,Furu Wei	2023	69
8	Query2doc: Query Expansion with Large Language Models Liang Wang,Nan Yang,Furu Wei	2023	61
9	GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator Jian Yang,Shuming Ma,Li Dong,Shaohan Huang,Haoyang Huang,Yuwei Yin,Dongdong Zhang,Liqun Yang,Furu Wei,Zhoujun Li	2023	3
10	Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt Lianzhe Huang,Shuming Ma,Dongdong Zhang,Furu Wei,Houfeng Wang	2022	14
11	SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training Ziqiang Zhang,Long Zhou,耀宗江,Shujie Liu,Li-Rong Dai,Jinyu Li,Furu Wei	2022	26
12	CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation Jian Yang,Shaohan Huang,Shuming Ma,Yuwei Yin,Dong Li,Dongdong Zhang,Herni Rahmat,Zhoujun Li,Furu Wei	2022	6
13	MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers Wenhui Wang,Hangbo Bao,Shaohan Huang,Li Dong,Furu Wei	2021	115
14	Improving Grammatical Error Correction with Machine Translation Pairs Wangchunshu Zhou,Tao Ge,Krivokalinskaia Gi,Ke Xu,Furu Wei,Ming Zhou	2020	22
15	BERT-of-Theseus: Compressing BERT by Progressive Module Replacing Canwen Xu,Wangchunshu Zhou,Tao Ge,Furu Wei,Ming Zhou	2020	100
16	Can Monolingual Pretrained Models Help Cross-Lingual Classification? Zewen Chi,Li Dong,Furu Wei,Xian-Ling Mao,Heyan Huang	2020	2
17	BERT-based Lexical Substitution Wangchunshu Zhou,Tao Ge,Ke Xu,Furu Wei,Ming Zhou	2019	48
18	SuperAgent: A Customer Service Chatbot for E-commerce Websites Lei Cui,Shaohan Huang,Furu Wei,Chuanqi Tan,Chaoqun Duan,Ming Zhou	2017	194
19	Learning to Generate Product Reviews from Attributes Edinburgh Research Explorer ·Li Dong,Shaohan Huang,Furu Wei,Mirella Lapata,Ming Zhou,Ke Xu	2017	115
20	Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classificationbreakdown → Li Dong,Furu Wei,Chuanqi Tan,Duyu Tang,Ming Zhou,Ke Xu	2014	708

About Furu Wei

Furu Wei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and General Social Sciences, having authored 233 papers that have together received 12.8k indexed citations. Recurring topics across this work include Topic Modeling (161 papers), Natural Language Processing Techniques (141 papers), Multimodal Machine Learning Applications (46 papers), Advanced Text Analysis Techniques (42 papers), Speech Recognition and Synthesis (25 papers), Sentiment Analysis and Opinion Mining (19 papers), Text and Document Classification Technologies (16 papers) and Video Analysis and Summarization (11 papers). The work is most often cited by research in Artificial Intelligence (9.8k citations), Computer Vision and Pattern Recognition (3.3k citations), Signal Processing (1.1k citations), Information Systems (1.6k citations) and Statistical and Nonlinear Physics (489 citations). Furu Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ming Zhou, Nan Yang, Duyu Tang, Li Dong, Bing Qin, Ting Liu, Wenjie Li, Ke Xu, Shaohan Huang and Xiaohua Liu. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Computational Linguistics, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Knowledge and Data Engineering and International Journal of Machine Learning and Cybernetics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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