Haiwen Diao

432 total citations · 1 hit paper
7 papers, 257 citations indexed

About

Haiwen Diao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Haiwen Diao has authored 7 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Haiwen Diao's work include Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Haiwen Diao is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Haiwen Diao collaborates with scholars based in China, Hong Kong and Japan. Haiwen Diao's co-authors include Huchuan Lu, Ying Zhang, Lin Ma, Xiang Ruan, Wei Liu, Xu Jia, Long Chen, Shang Gao, Bo Wan and Shuai Li and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Haiwen Diao

6 papers receiving 255 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.

Similarity Reasoning and Filtration for Image-Text Matching

2021 222 citations Haiwen Diao, Ying Zhang et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers

Haiwen Diao

CVPR

AI

IS

SP

MT

Tejas Gokhale United States

Peyman Passban Ireland

Paola Cascante-Bonilla United States

Ruotian Luo United States

Mingyang Ling China

Antoine Yang France

Pengpeng Zeng China

Viresh Ranjan India

Ju Xu China

Tejas Gokhale United States

Haiwen Diao

163 ×0.7

CVPR

166 ×1.1

AI

5 ×0.6

IS

5 ×0.8

SP

7 ×1.4

MT

Citations per year, relative to Haiwen Diao Haiwen Diao (= 1×) peers Tejas Gokhale

Countries citing papers authored by Haiwen Diao

Since Specialization

Citations

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

Fields of papers citing papers by Haiwen Diao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiwen Diao

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

7 of 7 papers shown

1.

Diao, Haiwen, et al.. (2025). Exploring Dynamic Transformer for Efficient Object Tracking. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 15502–15514. 2 indexed citations

2.

Diao, Haiwen, Bo Wan, Ying Zhang, et al.. (2024). UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 28729–28740. 6 indexed citations

3.

Diao, Haiwen, et al.. (2024). GSSF: Generalized Structural Sparse Function for Deep Cross-Modal Metric Learning. IEEE Transactions on Image Processing. 33. 6241–6252. 2 indexed citations

4.

Diao, Haiwen, et al.. (2024). Unveiling Encoder-Free Vision-Language Models. 52545–52567.

5.

Diao, Haiwen, Ying Zhang, Shang Gao, Xiang Ruan, & Huchuan Lu. (2024). Deep Boosting Learning: A Brand-New Cooperative Approach for Image-Text Matching. IEEE Transactions on Image Processing. 33. 3341–3352. 4 indexed citations

6.

Diao, Haiwen, Ying Zhang, Wei Liu, Xiang Ruan, & Huchuan Lu. (2023). Plug-and-Play Regulators for Image-Text Matching. IEEE Transactions on Image Processing. 32. 2322–2334. 21 indexed citations

7.

Diao, Haiwen, Ying Zhang, Lin Ma, & Huchuan Lu. (2021). Similarity Reasoning and Filtration for Image-Text Matching. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1218–1226. 222 indexed citations breakdown →

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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