Fengbin Zhu

416 total citations
14 papers, 123 citations indexed

About

Fengbin Zhu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Fengbin Zhu has authored 14 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Management Science and Operations Research. Recurrent topics in Fengbin Zhu's work include Topic Modeling (9 papers), Stock Market Forecasting Methods (4 papers) and Advanced Text Analysis Techniques (4 papers). Fengbin Zhu is often cited by papers focused on Topic Modeling (9 papers), Stock Market Forecasting Methods (4 papers) and Advanced Text Analysis Techniques (4 papers). Fengbin Zhu collaborates with scholars based in China, Singapore and United States. Fengbin Zhu's co-authors include Fuli Feng, Tat‐Seng Chua, Wenqiang Lei, Chao Wang, Jiancheng Lv, Shuo Zhang, Moxin Li, Na Ying, Chao Wang and Xiangnan He and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Proceedings of the 30th ACM International Conference on Multimedia.

In The Last Decade

Fengbin Zhu

8 papers receiving 121 citations

Peers

Fengbin Zhu
Linyong Nan United States
Julian Martin Eisenschlos United States
Ernie Chang Germany
Ehsan Kamalloo Canada
Jérémie Mary France
Dennis Diefenbach France
Elvys Linhares Pontes France
Aman Madaan United States
Chulun Zhou China
Shachi Paul United States
Linyong Nan United States
Fengbin Zhu
Citations per year, relative to Fengbin Zhu Fengbin Zhu (= 1×) peers Linyong Nan

Countries citing papers authored by Fengbin Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Fengbin Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengbin Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Fengbin Zhu. A scholar is included among the top collaborators of Fengbin Zhu 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 Fengbin Zhu. Fengbin Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Zhu, Fengbin, Liangming Pan, Wenjie Wang, et al.. (2025). Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance. 6289–6297.
2.
Zhu, Fengbin, Yunshan Ma, Fuli Feng, et al.. (2025). FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. 4184–4187.
3.
Li, Yongqi, Wenjie Wang, Fengbin Zhu, et al.. (2025). Large Language Models Empowered Personalized Web Agents. 198–215.
4.
Wang, Wenjie, et al.. (2025). Heterogeneous User Modeling for LLM-based Recommendation. 145–154.
5.
Qiu, Yu, Tianhao Shi, Xiaoyan Zhao, et al.. (2025). Latent Inter-User Difference Modeling for LLM Personalization. 10610–10628. 1 indexed citations
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10.
Zhu, Fengbin, Moxin Li, Junbin Xiao, et al.. (2023). SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs. 1236–1244. 5 indexed citations
11.
Li, Moxin, Fuli Feng, Hanwang Zhang, et al.. (2022). Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 57–69. 13 indexed citations
12.
Zhu, Fengbin, et al.. (2022). Towards Complex Document Understanding By Discrete Reasoning. Proceedings of the 30th ACM International Conference on Multimedia. 4857–4866. 15 indexed citations
13.
Zhu, Fengbin, Wenqiang Lei, Chao Wang, et al.. (2021). TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. 3277–3287. 72 indexed citations
14.
Zhu, Fengbin, et al.. (2017). Fast vehicle detection based on evolving convolutional neural network. 1–4. 11 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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