Yuxian Gu

1.8k total citations · 1 hit paper
9 papers, 311 citations indexed

About

Yuxian Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Yuxian Gu has authored 9 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Management Science and Operations Research. Recurrent topics in Yuxian Gu's work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (2 papers). Yuxian Gu is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (2 papers). Yuxian Gu collaborates with scholars based in China, United States and Canada. Yuxian Gu's co-authors include Zhiyuan Liu, Xu Han, Minlie Huang, Juanzi Li, Lei Hou, Xin Lv, Zhengyan Zhang, Maosong Sun, Minlie Huang and Xiaozhi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Yuxian Gu

9 papers receiving 301 citations

Hit Papers

align trajectories

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.

PPT: Pre-trained Prompt Tuning for Few-shot Learning

2022 161 citations Yuxian Gu, Xu Han et al. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yuxian Gu China	6	259	72	44	18	15	9	311
Emmanouil Antonios Platanios United States	9	391 1.5×	157 2.2×	51 1.2×	11 0.6×	14 0.9×	18	449
Shizhe Diao Hong Kong	9	208 0.8×	75 1.0×	25 0.6×	14 0.8×	21 1.4×	23	280
Yongduo Sui China	7	187 0.7×	39 0.5×	44 1.0×	9 0.5×	14 0.9×	17	228
Yuning Mao United States	13	422 1.6×	113 1.6×	65 1.5×	21 1.2×	8 0.5×	25	477
Yuanmeng Yan China	10	511 2.0×	118 1.6×	61 1.4×	9 0.5×	23 1.5×	23	556
Chengtai Cao China	6	208 0.8×	66 0.9×	25 0.6×	10 0.6×	16 1.1×	9	255
Sundararajan Sellamanickam United States	7	206 0.8×	126 1.8×	52 1.2×	15 0.8×	21 1.4×	19	296
Muyun Yang China	11	362 1.4×	77 1.1×	77 1.8×	12 0.7×	14 0.9×	72	422
Binyuan Hui China	9	214 0.8×	90 1.3×	56 1.3×	20 1.1×	8 0.5×	22	271
Wenpeng Hu China	12	390 1.5×	125 1.7×	56 1.3×	12 0.7×	7 0.5×	27	438

Countries citing papers authored by Yuxian Gu

Since Specialization

Citations

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

Fields of papers citing papers by Yuxian Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxian Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxian Gu. A scholar is included among the top collaborators of Yuxian Gu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuxian Gu. Yuxian Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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

9 of 9 papers shown

1.

Gu, Yuxian, et al.. (2024). Instruction Pre-Training: Language Models are Supervised Multitask Learners. 2529–2550. 3 indexed citations

2.

Gu, Yuxian, et al.. (2023). EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training. arXiv (Cornell University). 20(2). 207–219. 2 indexed citations

3.

Gu, Yuxian, et al.. (2023). Pre-Training to Learn in Context. 4849–4870. 5 indexed citations

4.

Gu, Yuxian, Xu Han, Zhiyuan Liu, & Minlie Huang. (2022). PPT: Pre-trained Prompt Tuning for Few-shot Learning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8410–8423. 161 indexed citations breakdown →

5.

Gu, Yuxian, Pei Ke, Xiaoyan Zhu, & Minlie Huang. (2022). Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization. 1617–1634. 3 indexed citations

6.

Zhu, Qi, Yuxian Gu, Cheng Li, et al.. (2021). When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training. 54–61. 10 indexed citations

7.

Zhang, Zhengyan, Yuxian Gu, Xu Han, et al.. (2021). CPM-2: Large-scale cost-effective pre-trained language models. SHILAP Revista de lepidopterología. 2. 216–224. 43 indexed citations

8.

Gu, Yuxian, Zhengyan Zhang, Xiaozhi Wang, Zhiyuan Liu, & Maosong Sun. (2020). Train No Evil: Selective Masking for Task-Guided Pre-Training. 6966–6974. 23 indexed citations

9.

Lv, Xin, Yuxian Gu, Xu Han, et al.. (2019). Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. 3374–3379. 61 indexed citations

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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