Linjun Shou

4.9k citations

39 papers · 2.0k indexed · 1 hit paper · h-index 14

Impact in

Software top 1%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
Information Systems top 0.5%
- Software Engineering Research

Papers in ⓘ

Artificial Intelligence 38
- Topic Modeling 33
- Natural Language Processing Techniques 29
- Advanced Graph Neural Networks 5
- Speech Recognition and Synthesis 4
- Domain Adaptation and Few-Shot Learning 4
- Text and Document Classification Technologies 2
Computer Vision and Pattern Recognition 19
- Multimodal Machine Learning Applications 17

Co-authors: Ming Gong (31 shared papers)Daxin Jiang (30 shared papers)Nan Duan (11 shared papers)Ming Zhou (5 shared papers)Duyu Tang (5 shared papers)Daya Guo (3 shared papers)Zhangyin Feng (2 shared papers)Xiaocheng Feng (1 shared paper)
Journals: Knowledge-Based Systems (1 paper)ACM Transactions on Asian and Low-Resource Language Information Processing (1 paper)SHILAP Revista de lepidopterología (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (1 paper)
Partner nations: China United States Canada

In The Last Decade

Linjun Shou

37 papers receiving 2.0k citations

Hit Papers

align trajectories log scale

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 2020 · 1.4k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2020 CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Peers

Countries citing papers authored by Linjun Shou

Since Specialization

Citations

This map shows the geographic impact of Linjun Shou'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 Linjun Shou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linjun Shou more than expected).

Fields of papers citing papers by Linjun Shou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linjun Shou. 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 Linjun Shou. The network helps show where Linjun Shou may publish in the future.

Co-authors

The 25 scholars most cited alongside Linjun Shou, 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 Linjun Shou Line = papers co-authored together Linjun Shou links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou Hit paper breakdown →	2020	1356
2	Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering Proceedings of the AAAI Conference on Artificial Intelligence ·Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu	2020	115
3	Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou	2019	104
4	Reinforced Multi-Teacher Selection for Knowledge Distillation Proceedings of the AAAI Conference on Artificial Intelligence ·Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang	2021	77
5	TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs SHILAP Revista de lepidopterología ·Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan	2023	55
6	CoSQA: 20,000+ Web Queries for Code Search and Question Answering Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan	2021	43
7	Graph Fusion Network for Text Classification Knowledge-Based Systems ·Yong Dai, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang, Zenglin Xu, Daxin Jiang	2021	42
8	GLGE: A New General Language Generation Evaluation Benchmark Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan	2021	32
9	LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin	2020	26
10	Syntax-Enhanced Pre-trained Model Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan	2021	20
11	Improving Readability for Automatic Speech Recognition Transcription ACM Transactions on Asian and Low-Resource Language Information Processing ·Junwei Liao, Şefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng	2022	18
12	Retrieval Enhanced Model for Commonsense Generation Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng	2021	17
13	Negative Sampling for Contrastive Representation Learning: A Review arXiv (Cornell University) ·Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen	2022	17
14	Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang	2021	17
15	From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension Proceedings of the AAAI Conference on Artificial Intelligence ·Nuo Chen, Linjun Shou, Ming Gong, Jian Pei	2022	12
16	Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang	2020	12
17	A Graph Representation of Semi-structured Data for Web Question Answering Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang	2020	7
18	Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang	2020	7
19	Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation Proceedings of the 31st ACM International Conference on Information & Knowledge Management ·Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue	2022	6
20	CalibreNet: Calibration Networks for Multilingual Sequence Labeling Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang	2021	6

About Linjun Shou

Linjun Shou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Information Systems and Management, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Natural Language Processing Techniques (29 papers), Multimodal Machine Learning Applications (17 papers), Advanced Graph Neural Networks (5 papers), Speech Recognition and Synthesis (4 papers), Web Data Mining and Analysis (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Software (521 citations), Information Systems (1.1k citations), Artificial Intelligence (1.2k citations), Signal Processing (351 citations) and Health Informatics (24 citations). Linjun Shou has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ming Gong, Daxin Jiang, Nan Duan, Ming Zhou, Duyu Tang, Daya Guo, Zhangyin Feng, Xiaocheng Feng, Bing Qin and Ting Liu. Their work appears in journals such as Knowledge-Based Systems, ACM Transactions on Asian and Low-Resource Language Information Processing, SHILAP Revista de lepidopterología, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.

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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