Yilun Du

2.0k total citations · 1 hit paper
18 papers, 610 citations indexed

About

Yilun Du is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Yilun Du has authored 18 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Computational Mechanics. Recurrent topics in Yilun Du's work include Computer Graphics and Visualization Techniques (3 papers), Human Pose and Action Recognition (3 papers) and Reinforcement Learning in Robotics (3 papers). Yilun Du is often cited by papers focused on Computer Graphics and Visualization Techniques (3 papers), Human Pose and Action Recognition (3 papers) and Reinforcement Learning in Robotics (3 papers). Yilun Du collaborates with scholars based in United States, Canada and China. Yilun Du's co-authors include Jiajun Wu, Linqi Zhou, Igor Mordatch, Joshua B. Tenenbaum, Yinan Zhang, Andrea Tagliasacchi, Anthony Simeonov, Alberto Rodríguez, Vincent Sitzmann and Pulkit Agrawal and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Yilun Du

12 papers receiving 588 citations

Hit Papers

3D Shape Generation and Completion through Point-Voxel Di... 2021 2026 2022 2024 2021 50 100 150 200
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.

  1. 3D Shape Generation and Completion through Point-Voxel Diffusion
    2021 246 citations Linqi Zhou, Yilun Du et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Peers

Yilun Du
Amir Hertz Israel
Lars Mescheder Germany
Pavel Tokmakov United States
Haggai Maron Israel
Chen-Hsuan Lin United States
Zhixin Shu United States
Vincent Casser United States
Haibin Huang China
Di Kang China
Gengshan Yang United States
Amir Hertz Israel
Yilun Du
Citations per year, relative to Yilun Du Yilun Du (= 1×) peers Amir Hertz

Countries citing papers authored by Yilun Du

Since Specialization
Citations

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

Fields of papers citing papers by Yilun Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilun Du

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

All Works

18 of 18 papers shown
1.
Du, Yilun, et al.. (2025). MoE-Loco: Mixture of Experts for Multitask Locomotion. 14218–14225.
2.
Wang, Yanwei, Lirui Wang, Yilun Du, et al.. (2025). Inference-Time Policy Steering Through Human Interactions. 15626–15633.
3.
4.
Du, Yilun, et al.. (2025). Fast Policy Synthesis with Variable Noise Diffusion Models. 4821–4828.
5.
Choromanska, Anna, et al.. (2024). Wake-Sleep Energy Based Models for Continual Learning. 4118–4127.
6.
Simeonov, Anthony, Yilun Du, Andrea Tagliasacchi, et al.. (2022). Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. 2022 International Conference on Robotics and Automation (ICRA). 6394–6400. 95 indexed citations
7.
Du, Yilun, Katherine M. Collins, Josh Tenenbaum, & Vincent Sitzmann. (2021). Learning Signal-Agnostic Implicit Manifolds. Neural Information Processing Systems. 34. 1 indexed citations
8.
Zhou, Linqi, Yilun Du, & Jiajun Wu. (2021). 3D Shape Generation and Completion through Point-Voxel Diffusion. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 5806–5815. 246 indexed citations breakdown →
9.
Du, Yilun, et al.. (2021). Neural Radiance Flow for 4D View Synthesis and Video Processing. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14304–14314. 131 indexed citations
10.
Li, Shuang, Yilun Du, Antonio Torralba, Josef Šivic, & Bryan Russell. (2021). Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1825–1835. 11 indexed citations
11.
Du, Yilun, Chuang Gan, & Phillip Isola. (2021). Curious Representation Learning for Embodied Intelligence. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10388–10397. 12 indexed citations
12.
Du, Yilun, Shuang Li, & Igor Mordatch. (2020). Compositional Visual Generation with Energy Based Models. Neural Information Processing Systems. 33. 6637–6647. 22 indexed citations
13.
Du, Yilun, Joshua Meier, Jerry Ma, Rob Fergus, & Alexander Rives. (2020). Energy-based models for atomic-resolution protein conformations. arXiv (Cornell University). 4 indexed citations
14.
Du, Yilun & Karthik Narasimhan. (2019). Task-agnostic dynamics priors for deep reinforcement learning. International Conference on Machine Learning. 1696–1705.
15.
Du, Yilun & Igor Mordatch. (2019). Implicit Generation and Modeling in Energy-Based Models. arXiv (Cornell University). 32. 3603–3613. 68 indexed citations
16.
Du, Yilun, et al.. (2019). Model Based Planning with Energy Based Models. 374–383. 1 indexed citations
17.
Du, Yilun, Zhijian Liu, Aleš Leonardis, et al.. (2018). Learning to Exploit Stability for 3D Scene Parsing. DSpace@MIT (Massachusetts Institute of Technology). 31. 7444. 18 indexed citations
18.
Du, Yilun, et al.. (2018). Neural MMO: A massively multiplayer game environment for intelligent agents. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Amir Hertz Breakdown of academic impact, for papers by Lars Mescheder Breakdown of academic impact, for papers by Pavel Tokmakov Breakdown of academic impact, for papers by Haggai Maron Breakdown of academic impact, for papers by Chen-Hsuan Lin Breakdown of academic impact, for papers by Zhixin Shu Breakdown of academic impact, for papers by Vincent Casser Breakdown of academic impact, for papers by Haibin Huang Breakdown of academic impact, for papers by Di Kang Breakdown of academic impact, for papers by Gengshan Yang
Rankless by CCL
2026