Liangke Gui

418 total citations
15 papers, 266 citations indexed

About

Liangke Gui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Liangke Gui has authored 15 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Liangke Gui's work include Multimodal Machine Learning Applications (4 papers), Face recognition and analysis (4 papers) and Face and Expression Recognition (3 papers). Liangke Gui is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Face recognition and analysis (4 papers) and Face and Expression Recognition (3 papers). Liangke Gui collaborates with scholars based in United States, China and Australia. Liangke Gui's co-authors include Alexander G. Hauptmann, Yu-Xiong Wang, Louis–Philippe Morency, Borui Wang, Yonatan Bisk, Qiuyuan Huang, Jianfeng Gao, Tadas Baltrušaitis, Yanjiang Wang and Xue Li and has published in prestigious journals such as Neurocomputing, Multimedia Tools and Applications and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Liangke Gui

14 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangke Gui United States 9 213 130 24 23 20 15 266
Byungju Kim South Korea 4 168 0.8× 137 1.1× 26 1.1× 34 1.5× 12 0.6× 5 279
Zhilong Ji China 7 182 0.9× 77 0.6× 9 0.4× 8 0.3× 16 0.8× 21 266
Vineet Gandhi India 10 229 1.1× 54 0.4× 15 0.6× 14 0.6× 24 1.2× 37 284
Hao Ye China 9 161 0.8× 88 0.7× 19 0.8× 10 0.4× 12 0.6× 26 195
David Freire-Obregón Spain 8 194 0.9× 68 0.5× 17 0.7× 11 0.5× 35 1.8× 26 231
George Retsinas Greece 9 125 0.6× 57 0.4× 15 0.6× 13 0.6× 9 0.5× 33 188
Chuanxin Tang China 6 100 0.5× 87 0.7× 16 0.7× 8 0.3× 72 3.6× 12 219
Shuang Ma United States 9 176 0.8× 96 0.7× 8 0.3× 11 0.5× 58 2.9× 16 247
Vivek Kshirsagar India 3 179 0.8× 35 0.3× 16 0.7× 8 0.3× 64 3.2× 8 226

Countries citing papers authored by Liangke Gui

Since Specialization
Citations

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

Fields of papers citing papers by Liangke Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangke Gui

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

All Works

15 of 15 papers shown
1.
Gui, Liangke, Zhiqing Sun, Yihao Feng, et al.. (2025). Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. 694–717. 2 indexed citations
2.
Gui, Liangke, Borui Wang, Qiuyuan Huang, et al.. (2022). KAT: A Knowledge Augmented Transformer for Vision-and-Language. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 956–968. 67 indexed citations
3.
Gui, Liangke, Adrien Bardes, Ruslan Salakhutdinov, et al.. (2021). Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8681–8691. 3 indexed citations
4.
Liu, Wenhe, Guoliang Kang, Po-Yao Huang, et al.. (2020). Argus: Efficient Activity Detection System for Extended Video Analysis. 29 indexed citations
5.
Chang, Xiaojun, Wenhe Liu, Po-Yao Huang, et al.. (2019). MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video.. Monash University Research Portal (Monash University). 8 indexed citations
6.
Gui, Liangke, Xiaodan Liang, Xiaojun Chang, & Alexander G. Hauptmann. (2018). Adaptive context-aware reinforced agent for handwritten text recognition. RMIT Research Repository (RMIT University Library). 207. 8 indexed citations
7.
Gui, Liang-Yan, Liangke Gui, Yu-Xiong Wang, Louis–Philippe Morency, & José M. F. Moura. (2018). Factorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering. 7 indexed citations
8.
Gui, Liangke, Tadas Baltrušaitis, & Louis–Philippe Morency. (2017). Curriculum Learning for Facial Expression Recognition. 2013. 505–511. 27 indexed citations
9.
Yu, Hongliang, Liangke Gui, Michael Madaio, et al.. (2017). Temporally Selective Attention Model for Social and Affective State Recognition in Multimedia Content. 1743–1751. 21 indexed citations
10.
Gui, Liangke, Tadas Baltrušaitis, Robert Frederking, et al.. (2017). Integrating Verbal and Nonvebval Input into a Dynamic Response Spoken Dialogue System. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 1 indexed citations
11.
Gui, Liangke, Yu-Xiong Wang, & Martial Hebert. (2017). Few-Shot Hash Learning for Image Retrieval. 1228–1237. 11 indexed citations
12.
Liu, Baodi, Bin Shen, Liangke Gui, et al.. (2016). Face recognition using class specific dictionary learning for sparse representation and collaborative representation. Neurocomputing. 204. 198–210. 44 indexed citations
13.
Liu, Baodi, Yuting Wang, Liangke Gui, et al.. (2016). Class specific discriminant dictionary learning with kernels for face recognition. Electronic Imaging. 28(11). 1–6. 2 indexed citations
14.
Liu, Baodi, Liangke Gui, Yuting Wang, et al.. (2015). Class specific centralized dictionary learning for face recognition. Multimedia Tools and Applications. 76(3). 4159–4177. 10 indexed citations
15.
Fu, Wei, Jinqiao Wang, Liangke Gui, Hanqing Lu, & Songde Ma. (2014). Online video synopsis of structured motion. Neurocomputing. 135. 155–162. 26 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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