Mengye Ren

4.7k total citations
16 papers, 1.0k citations indexed

About

Mengye Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Mengye Ren has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Automotive Engineering. Recurrent topics in Mengye Ren's work include Advanced Neural Network Applications (7 papers), Autonomous Vehicle Technology and Safety (5 papers) and Multimodal Machine Learning Applications (5 papers). Mengye Ren is often cited by papers focused on Advanced Neural Network Applications (7 papers), Autonomous Vehicle Technology and Safety (5 papers) and Multimodal Machine Learning Applications (5 papers). Mengye Ren collaborates with scholars based in Canada and United States. Mengye Ren's co-authors include Raquel Urtasun, Richard S. Zemel, Ryan Kiros, Wenyuan Zeng, Bin Yang, Bin Yang, Sivabalan Manivasagam, Roger Grosse, Kelvin Wong and Aidan N. Gomez and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Mengye Ren

16 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mengye Ren Canada	12	716	615	140	49	46	16	1.0k
Vashisht Madhavan United States	3	1.1k 1.5×	521 0.8×	337 2.4×	109 2.2×	45 1.0×	3	1.4k
Zhongdao Wang China	10	874 1.2×	313 0.5×	83 0.6×	84 1.7×	23 0.5×	14	1.1k
Feihu Zhang China	11	403 0.6×	275 0.4×	104 0.7×	101 2.1×	31 0.7×	18	843
Wenyuan Zeng Canada	10	485 0.7×	398 0.6×	379 2.7×	47 1.0×	73 1.6×	12	859
Xun Wang China	16	862 1.2×	389 0.6×	45 0.3×	19 0.4×	28 0.6×	59	1.1k
Wouter Van Gansbeke Belgium	4	366 0.5×	326 0.5×	37 0.3×	38 0.8×	27 0.6×	6	718
Xinjing Cheng China	10	859 1.2×	278 0.5×	222 1.6×	251 5.1×	47 1.0×	12	1.2k
Oswaldo Ludwig Portugal	11	385 0.5×	163 0.3×	124 0.9×	72 1.5×	52 1.1×	21	659
Vijay Badrinarayanan United Kingdom	13	666 0.9×	189 0.3×	68 0.5×	146 3.0×	21 0.5×	17	888
Punarjay Chakravarty United States	11	393 0.5×	370 0.6×	85 0.6×	131 2.7×	27 0.6×	23	668

Countries citing papers authored by Mengye Ren

Since Specialization

Citations

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

Fields of papers citing papers by Mengye Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengye Ren

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

All Works

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16 of 16 papers shown

Yang, Anqi, Yuwen Xiong, Sergio Casas, et al.. (2023). Towards Unsupervised Object Detection from LiDAR Point Clouds. 9317–9328. 9 indexed citations

Ren, Mengye, et al.. (2021). SketchEmbedNet: Learning Novel Concepts by Imitating Drawings. International Conference on Machine Learning. 10870–10881. 7 indexed citations

Wong, Kelvin, et al.. (2021). SceneGen: Learning to Generate Realistic Traffic Scenes. 892–901. 59 indexed citations

Xiong, Yuwen, et al.. (2021). Self-Supervised Representation Learning from Flow Equivariance. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10171–10180. 14 indexed citations

Wang, Jingkang, James Tu, Sivabalan Manivasagam, et al.. (2021). AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. 9904–9913. 104 indexed citations

Ren, Mengye, et al.. (2021). Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. 4875–4881. 28 indexed citations

Xiong, Yuwen, Mengye Ren, & Raquel Urtasun. (2020). LoCo: Local Contrastive Representation Learning. arXiv (Cornell University). 33. 11142–11153. 2 indexed citations

Ren, Mengye, et al.. (2020). Multi-Agent Routing Value Iteration Network. arXiv (Cornell University). 1. 9300–9310. 1 indexed citations

Wong, Kelvin, Shenlong Wang, Mengye Ren, Ming Liang, & Raquel Urtasun. (2019). Identifying Unknown Instances for Autonomous Driving. 384–393. 35 indexed citations

10.

Triantafillou, Eleni, Hugo Larochelle, Jake Snell, et al.. (2018). Meta-Learning for Semi-Supervised Few-Shot Classification. arXiv (Cornell University). 73 indexed citations

11.

Ren, Mengye, Wenyuan Zeng, Bin Yang, & Raquel Urtasun. (2018). Learning to Reweight Examples for Robust Deep Learning. International Conference on Machine Learning. 4334–4343. 152 indexed citations

12.

Zhang, Wenjun, Mengye Ren, & Raquel Urtasun. (2018). Graph HyperNetworks for Neural Architecture Search.. International Conference on Learning Representations. 16 indexed citations

13.

Ren, Mengye, et al.. (2018). SBNet: Sparse Blocks Network for Fast Inference. 120 indexed citations

14.

Gomez, Aidan N., Mengye Ren, Raquel Urtasun, & Roger Grosse. (2017). The Reversible Residual Network: Backpropagation Without Storing Activations. arXiv (Cornell University). 30. 2214–2224. 66 indexed citations

15.

Ren, Mengye, Ryan Kiros, & Richard S. Zemel. (2015). Image Question Answering: A Visual Semantic Embedding Model and a New Dataset.. arXiv (Cornell University). 77 indexed citations

16.

Ren, Mengye, Ryan Kiros, & Richard S. Zemel. (2015). Exploring Models and Data for Image Question Answering. arXiv (Cornell University). 28. 2953–2961. 241 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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