Hung Bui

3.5k total citations
72 papers, 1.7k citations indexed

About

Hung Bui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hung Bui has authored 72 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 40 papers in Computer Vision and Pattern Recognition and 15 papers in Signal Processing. Recurrent topics in Hung Bui's work include Anomaly Detection Techniques and Applications (19 papers), Video Surveillance and Tracking Methods (15 papers) and Human Pose and Action Recognition (13 papers). Hung Bui is often cited by papers focused on Anomaly Detection Techniques and Applications (19 papers), Video Surveillance and Tracking Methods (15 papers) and Human Pose and Action Recognition (13 papers). Hung Bui collaborates with scholars based in Australia, United States and United Kingdom. Hung Bui's co-authors include Svetha Venkatesh, Dinh Phung, Geoff West, Mihai Lazarescu, Nhat Nguyen, Rui Shu, Stefano Ermon, Christopher Geib, Gita Sukthankar and David V. Pynadath and has published in prestigious journals such as IEEE Transactions on Information Theory, Genome biology and Artificial Intelligence.

In The Last Decade

Hung Bui

70 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hung Bui 1.0k 940 283 214 161 72 1.7k
Octavian Udrea 1.0k 1.0× 1.0k 1.1× 245 0.9× 413 1.9× 269 1.7× 37 1.8k
Shaohua Teng 551 0.5× 795 0.8× 450 1.6× 278 1.3× 90 0.6× 130 1.7k
Hazem M. El‐Bakry 911 0.9× 899 1.0× 520 1.8× 383 1.8× 105 0.7× 204 2.3k
Aston Zhang 550 0.5× 547 0.6× 184 0.7× 269 1.3× 105 0.7× 33 1.2k
Mohammad Rahmati 528 0.5× 667 0.7× 131 0.5× 190 0.9× 69 0.4× 104 1.5k
Jasni Mohamad Zain 426 0.4× 796 0.8× 254 0.9× 330 1.5× 65 0.4× 151 1.9k
Alan Fern 2.1k 2.1× 697 0.7× 190 0.7× 391 1.8× 248 1.5× 172 2.9k
Gencai Chen 417 0.4× 624 0.7× 557 2.0× 387 1.8× 80 0.5× 106 1.9k
Chenglin Miao 659 0.7× 370 0.4× 268 0.9× 282 1.3× 248 1.5× 49 1.7k
Hong-Han Shuai 494 0.5× 745 0.8× 125 0.4× 110 0.5× 57 0.4× 119 1.5k

Countries citing papers authored by Hung Bui

Since Specialization
Citations

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

Fields of papers citing papers by Hung Bui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hung Bui

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

All Works

20 of 20 papers shown
1.
Le, Trung, et al.. (2021). LAMDA: Label Matching Deep Domain Adaptation. Monash University Research Portal (Monash University). 6043–6054. 7 indexed citations
2.
Dong, Zhe, Bryan Seybold, Kevin Murphy, & Hung Bui. (2020). Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems. International Conference on Machine Learning. 1. 2638–2647. 1 indexed citations
3.
Shu, Rui, Hung Bui, Shengjia Zhao, Mykel J. Kochenderfer, & Stefano Ermon. (2018). Amortized Inference Regularization. Neural Information Processing Systems. 31. 4393–4402. 8 indexed citations
4.
Shu, Rui, et al.. (2018). A DIRT-T Approach to Unsupervised Domain Adaptation. International Conference on Learning Representations. 84 indexed citations
5.
Ho, Nhat, et al.. (2017). Multilevel Clustering via Wasserstein Means. Own your potential (DEAKIN). 1501–1509. 8 indexed citations
6.
Bui, Hung, Jaya Kawale, Nikos Vlassis, et al.. (2016). Practical linear models for large-scale one-class collaborative filtering. ANU Open Research (Australian National University). 3854–3860. 10 indexed citations
7.
Phung, Dinh, et al.. (2016). Scalable nonparametric Bayesian multilevel clustering. Deakin Research Online (Deakin University). 289–298. 3 indexed citations
8.
Kawale, Jaya, et al.. (2015). Efficient Thompson sampling for online matrix-factorization recommendation. Warwick Research Archive Portal (University of Warwick). 28. 1297–1305. 54 indexed citations
9.
Sukthankar, Gita, Christopher Geib, Hung Bui, David V. Pynadath, & Robert P. Goldman. (2014). Plan, Activity, and Intent Recognition: Theory and Practice. Journal of International Crisis and Risk Communication Research. 424–424. 108 indexed citations
10.
Madani, Omid, Hung Bui, & Eric Yeh. (2009). Efficient online learning and prediction of users' desktop actions. International Joint Conference on Artificial Intelligence. 1457–1462. 10 indexed citations
11.
Bui, Hung, et al.. (2008). A context-aware personal desktop assistant. Adaptive Agents and Multi-Agents Systems. 1679–1680. 1 indexed citations
12.
Bui, Hung, Dinh Phung, Svetha Venkatesh, & Hai Thanh Phan. (2008). The hidden permutation model and location-based activity recognition. Deakin Research Online (Deakin University). 1345–1350. 13 indexed citations
13.
Bui, Hung, Dinh Phung, & Svetha Venkatesh. (2004). Learning Hierarchical Hidden Markov Models with General State Hierarchy.. National Conference on Artificial Intelligence. 324–329. 1 indexed citations
14.
Bui, Hung, Dinh Phung, & Svetha Venkatesh. (2004). Hierarchical hidden Markov models with general state hierarchy. Deakin Research Online (Deakin University). 324–329. 55 indexed citations
15.
Bui, Hung, et al.. (2004). Human Action Recognition with an Incomplete Real-Time Pose Skeleton. Genome biology. 21(1). 115–115. 2 indexed citations
16.
Bui, Hung. (2003). A general model for online probabilistic plan recognition. International Joint Conference on Artificial Intelligence. 1309–1315. 128 indexed citations
17.
Venkatesh, Svetha, et al.. (2002). Coordination of multiple cameras to track multiple people. Deakin Research Online (Deakin University). 302–307. 2 indexed citations
18.
Bui, Hung, et al.. (2000). On the Recognition of Abstract Markov Policies. Own your potential (DEAKIN). 524–530. 9 indexed citations
19.
Bui, Hung, et al.. (1996). Negotiating agents that learn about others' preferences. Deakin Research Online (Deakin University). 16–21. 2 indexed citations
20.
Bui, Hung, et al.. (1996). Learning other agents' preferences in multiagent negotiation. Deakin Research Online (Deakin University). 114–119. 22 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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