Tung M. Luu

647 total citations · 1 hit paper
11 papers, 206 citations indexed

About

Tung M. Luu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Tung M. Luu has authored 11 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Mechanics. Recurrent topics in Tung M. Luu's work include Reinforcement Learning in Robotics (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Tung M. Luu is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Tung M. Luu collaborates with scholars based in South Korea and Vietnam. Tung M. Luu's co-authors include Chang D. Yoo, Thang Vu, Thanh Minh Nguyen, Trung X. Pham, Junyeong Kim, Chaoning Zhang, Bac Le, Dong-Hoon Lee, Xuan Nguyen and Duc Le and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.

In The Last Decade

Tung M. Luu

9 papers receiving 203 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.

SoftGroup for 3D Instance Segmentation on Point Clouds

2022 155 citations Thang Vu, Tung M. Luu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers

Countries citing papers authored by Tung M. Luu

Since Specialization

Citations

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

Fields of papers citing papers by Tung M. Luu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tung M. Luu. 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 Tung M. Luu. The network helps show where Tung M. Luu may publish in the future.

Co-authorship network of co-authors of Tung M. Luu

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

11 of 11 papers shown

#	Work	Indexed citations
1	From Visual Explanations to Counterfactual Explanations with Latent Diffusion 2025 ·ArXiv.org ·Tung M. Luu, (unknown), Duc Le, Bac Le	0
2	Predictive Coding for Decision Transformer 2024 ·Tung M. Luu, Dong-Hoon Lee, Chang D. Yoo	0
3	Scalable SoftGroup for 3D Instance Segmentation on Point Clouds 2023 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Thang Vu, (unknown), (unknown), Tung M. Luu, Junyeong Kim, Chang D. Yoo	11
4	DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning 2023 ·IEEE Access ·(unknown), Trung X. Pham, Chaoning Zhang, Tung M. Luu, Thang Vu, Chang D. Yoo	6
5	SoftGroup for 3D Instance Segmentation on Point Clouds breakdown → 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Thang Vu, (unknown), Tung M. Luu, Thanh Minh Nguyen, Chang D. Yoo	155
6	Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning 2022 ·IEEE Access ·Tung M. Luu, (unknown), Thang Vu, Chang D. Yoo	1
7	Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning 2022 ·Sensors ·Tung M. Luu, Thang Vu, (unknown), Chang D. Yoo	3
8	Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning 2021 ·arXiv (Cornell University) ·(unknown), Tung M. Luu, Trung X. Pham, (unknown), Chang D. Yoo	11
9	Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model 2021 ·2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ·(unknown), Tung M. Luu, Thang Vu, Chang D. Yoo	12
10	Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment 2021 ·IEEE Access ·Tung M. Luu, Chang D. Yoo	6
11	Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection 2021 ·Thang Vu, (unknown), (unknown), Xuan Nguyen, Tung M. Luu, Chang D. Yoo	1

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.

Explore authors with similar magnitude of impact