Yubin Ge

545 total citations
21 papers, 266 citations indexed

About

Yubin Ge is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yubin Ge has authored 21 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Yubin Ge's work include Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (4 papers). Yubin Ge is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (4 papers). Yubin Ge collaborates with scholars based in United States, China and Hong Kong. Yubin Ge's co-authors include Jinsong Su, Xiaofeng Liu, Linfeng Song, Ping Jia, Jiebo Luo, Jane You, Site Li, Chao Yang, Hui Jiang and Le Sun and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Information Sciences.

In The Last Decade

Yubin Ge

17 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yubin Ge United States	10	202	107	24	24	20	21	266
Wenpeng Hu China	12	390 1.9×	125 1.2×	56 2.3×	9 0.4×	16 0.8×	27	438
Duzhen Zhang China	7	149 0.7×	123 1.1×	11 0.5×	19 0.8×	12 0.6×	17	227
Hongfei Lin China	6	177 0.9×	69 0.6×	26 1.1×	13 0.5×	58 2.9×	8	280
Otilia Stretcu United States	6	198 1.0×	98 0.9×	23 1.0×	5 0.2×	8 0.4×	9	288
Liunian Harold Li United States	8	181 0.9×	112 1.0×	8 0.3×	4 0.2×	16 0.8×	11	229
Eric Nalisnick United States	7	173 0.9×	42 0.4×	47 2.0×	8 0.3×	5 0.3×	19	214
Anil Kumar Gupta India	4	88 0.4×	34 0.3×	28 1.2×	22 0.9×	2 0.1×	8	178
Miikka Silfverberg United States	9	281 1.4×	57 0.5×	15 0.6×	12 0.5×	2 0.1×	46	325
Claudiu Musat Switzerland	10	303 1.5×	78 0.7×	54 2.3×	8 0.3×	5 0.3×	20	343
Liangjun Zang China	5	137 0.7×	37 0.3×	47 2.0×	22 0.9×	3 0.1×	17	173

Countries citing papers authored by Yubin Ge

Since Specialization

Citations

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

Fields of papers citing papers by Yubin Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yubin Ge

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

All Works

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20 of 20 papers shown

Ge, Yubin, Salvatore Romeo, Jason Cai, et al.. (2025). TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues. 18974–18988.

Han, Fei, et al.. (2025). Contribution-based imbalanced hybrid resampling ensemble. Pattern Recognition. 164. 111553–111553. 1 indexed citations

Ge, Yubin, et al.. (2024). Extractive Summarization via Fine-grained Semantic Tuple Extraction. 121–133.

Ge, Yubin, et al.. (2024). Two-Stage Graph-Augmented Summarization of Scientific Documents. 36–46.

Ge, Yubin, et al.. (2023). StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models. 12236–12256. 1 indexed citations

Liu, Xiaofeng, et al.. (2022). Ordinal Unsupervised Domain Adaptation With Recursively Conditional Gaussian Imposed Variational Disentanglement. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3219–3232. 5 indexed citations

Zeng, Jiali, Yongjing Yin, Yang Liu, Yubin Ge, & Jinsong Su. (2021). Domain Adaptive Meta-Learning for Dialogue State Tracking. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 2493–2501. 6 indexed citations

Che, Tong, Xiaofeng Liu, Site Li, et al.. (2021). Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 7002–7010. 18 indexed citations

Liu, Xiaofeng, et al.. (2021). Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 744–753. 17 indexed citations

10.

Jiang, Hui, Linfeng Song, Yubin Ge, et al.. (2021). An AST Structure Enhanced Decoder for Code Generation. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 468–476. 7 indexed citations

11.

Ge, Yubin, et al.. (2021). BACO: A Background Knowledge- and Content-Based Framework for Citing Sentence Generation. 1466–1478. 8 indexed citations

12.

Su, Jinsong, Jialong Tang, Hui Jiang, et al.. (2021). Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning. Artificial Intelligence. 296. 103477–103477. 47 indexed citations

13.

Meng, Fandong, Jie Zhou, Yubin Ge, et al.. (2021). Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2407–2417. 5 indexed citations

14.

Su, Jinsong, et al.. (2021). Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(16). 14121–14128. 14 indexed citations

15.

Yin, Yongjing, Fandong Meng, Jinsong Su, et al.. (2020). Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 9482–9489. 19 indexed citations

16.

Song, Linfeng, Jinsong Su, Yue Zhang, et al.. (2020). Structural Information Preserving for Graph-to-Text Generation. 29 indexed citations

17.

Liu, Xin, Kai Liu, Xianglin Li, et al.. (2020). An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension. 3794–3800. 11 indexed citations

18.

Su, Jinsong, Jinchang Chen, Hui Jiang, et al.. (2020). Multi-modal neural machine translation with deep semantic interactions. Information Sciences. 554. 47–60. 27 indexed citations

19.

Liu, Xiaofeng, B. V. K. Vijaya Kumar, Yubin Ge, et al.. (2018). Normalized face image generation with perceptron generative adversarial networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–8. 19 indexed citations

20.

Liu, Xiaofeng, Yubin Ge, Chao Yang, & Ping Jia. (2018). Adaptive metric learning with deep neural networks for video-based facial expression recognition. Journal of Electronic Imaging. 27(1). 1–1. 27 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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