Zi-Yi Dou

2.5k total citations · 1 hit paper
28 papers, 829 citations indexed

About

Zi-Yi Dou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Zi-Yi Dou has authored 28 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Materials Chemistry. Recurrent topics in Zi-Yi Dou's work include Topic Modeling (16 papers), Natural Language Processing Techniques (16 papers) and Multimodal Machine Learning Applications (9 papers). Zi-Yi Dou is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (16 papers) and Multimodal Machine Learning Applications (9 papers). Zi-Yi Dou collaborates with scholars based in United States, China and Finland. Zi-Yi Dou's co-authors include Graham Neubig, Nanyun Peng, Antonios Anastasopoulos, Pengfei Liu, Zhengbao Jiang, Lijuan Wang, Hiroaki Hayashi, Zhe Gan, Jianfeng Wang and Lu Yuan and has published in prestigious journals such as Neurocomputing, Dyes and Pigments and Journal of Molecular Structure.

In The Last Decade

Zi-Yi Dou

25 papers receiving 797 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.

An Empirical Study of Training End-to-End Vision-and-Language Transformers

2022 204 citations Zi-Yi Dou, Yichong Xu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers

Zi-Yi Dou

AI

CVPR

IS

MB

SP

Junhui Li China

Xuancheng Ren China

Yu Cheng United States

Jing Yu China

Qinliang Su China

Ledell Wu China

Zuchao Li China

Sarath Chandar Canada

Canwen Xu United States

Saksham Singhal China

Junhui Li China

Zi-Yi Dou

642 ×1.0

AI

180 ×0.5

CVPR

51 ×1.4

IS

38 ×1.8

MB

24 ×1.4

SP

Citations per year, relative to Zi-Yi Dou Zi-Yi Dou (= 1×) peers Junhui Li

Countries citing papers authored by Zi-Yi Dou

Since Specialization

Citations

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

Fields of papers citing papers by Zi-Yi Dou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zi-Yi Dou. 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 Zi-Yi Dou. The network helps show where Zi-Yi Dou may publish in the future.

Co-authorship network of co-authors of Zi-Yi Dou

This figure shows the co-authorship network connecting the top 25 collaborators of Zi-Yi Dou. A scholar is included among the top collaborators of Zi-Yi Dou 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 Zi-Yi Dou. Zi-Yi Dou 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:

20 of 20 papers shown

1.

Dou, Zi-Yi, et al.. (2024). Re-ReST: Reflection-Reinforced Self-Training for Language Agents. 15394–15411.

2.

Wu, Yifan, et al.. (2024). Rhodamine‐based force‐sensitive organic polysiloxane for hardness recognition of inorganic particles. Journal of Polymer Science. 62(17). 4109–4117. 2 indexed citations

3.

Dou, Zi-Yi, et al.. (2024). VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models. 1783–1805. 1 indexed citations

4.

Dou, Zi-Yi, et al.. (2023). Gender Biases in Automatic Evaluation Metrics for Image Captioning. 8358–8375. 3 indexed citations

5.

Wang, Taisheng, et al.. (2023). Fluorescent and ratiometric humidity sensor based on cyano-substituted oligo(p-phenylene)/silica gel hybrid materials. Dyes and Pigments. 222. 111862–111862. 1 indexed citations

6.

Wu, Te-Lin, Zi-Yi Dou, Qingyuan Hu, et al.. (2023). ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos. 11753–11770. 2 indexed citations

7.

Dou, Zi-Yi, Feng Gao, & Nanyun Peng. (2023). Masked Path Modeling for Vision-and-Language Navigation. 15255–15269.

8.

Zhang, Na, Xiangyu Ma, Shun Li, et al.. (2023). Mechanochromism of polyurethane based on folding—unfolding of cyano-substituted oligo(p-phenylene) vinylene dimer. Frontiers of Materials Science. 17(2). 3 indexed citations

9.

Zou, Xueyan, Zi-Yi Dou, Jianwei Yang, et al.. (2023). Generalized Decoding for Pixel, Image, and Language. 15116–15127. 92 indexed citations

10.

Dou, Zi-Yi, et al.. (2022). Coarse-To-Fine Vision-Language Pre-Training with Fusion in the Backbone. 32942–32956. 2 indexed citations

11.

Dou, Zi-Yi, Yichong Xu, Zhe Gan, et al.. (2022). An Empirical Study of Training End-to-End Vision-and-Language Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 18145–18155. 204 indexed citations breakdown →

12.

Dou, Zi-Yi & Nanyun Peng. (2022). Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 36(10). 10572–10580. 14 indexed citations

13.

Liu, Yixin, Zi-Yi Dou, & Pengfei Liu. (2021). RefSum: Refactoring Neural Summarization. 1437–1448. 24 indexed citations

14.

Dou, Zi-Yi, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, & Graham Neubig. (2021). GSum: A General Framework for Guided Neural Abstractive Summarization. 4830–4842. 122 indexed citations

15.

Dou, Zi-Yi & Graham Neubig. (2021). Word Alignment by Fine-tuning Embeddings on Parallel Corpora. 2112–2128. 67 indexed citations

16.

Chen, Yiran, Pengfei Liu, Ming Zhong, et al.. (2020). CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. 3679–3691. 14 indexed citations

17.

Dou, Zi-Yi, Antonios Anastasopoulos, & Graham Neubig. (2020). Dynamic Data Selection and Weighting for Iterative Back-Translation. 5894–5904. 29 indexed citations

18.

Dou, Zi-Yi, et al.. (2019). Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 86–93. 28 indexed citations

19.

Dou, Zi-Yi, et al.. (2018). Unsupervised Bilingual Lexicon Induction via Latent Variable Models. 621–626. 10 indexed citations

20.

Dou, Zi-Yi. (2017). Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network. 65 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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