Tianhe Yu

3.9k total citations
13 papers, 481 citations indexed

About

Tianhe Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Tianhe Yu has authored 13 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Tianhe Yu's work include Reinforcement Learning in Robotics (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Image Enhancement Techniques (2 papers). Tianhe Yu is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Image Enhancement Techniques (2 papers). Tianhe Yu collaborates with scholars based in United States and China. Tianhe Yu's co-authors include Jun-Yan Zhu, Richard Zhang, Alexei A. Efros, Angela S. Lin, Xinyang Geng, Phillip Isola, Chelsea Finn, Sergey Levine, Pieter Abbeel and Tianhao Zhang and has published in prestigious journals such as ACM Transactions on Graphics, Microbiome and Computing and Informatics.

In The Last Decade

Tianhe Yu

12 papers receiving 463 citations

Peers

Tianhe Yu
Jianchao Tan United States
Chengying Gao China
Shiran Zada United States
William T. Freeman United States
Yuxin Zhang China
Songhua Liu China
Yong-Goo Shin South Korea
Rudrabha Mukhopadhyay India
Yuheng Li United States
Rogério Feris United States
Jianchao Tan United States
Tianhe Yu
Citations per year, relative to Tianhe Yu Tianhe Yu (= 1×) peers Jianchao Tan

Countries citing papers authored by Tianhe Yu

Since Specialization
Citations

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

Fields of papers citing papers by Tianhe Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianhe Yu

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

All Works

13 of 13 papers shown
1.
Yu, Tianhe, Ted Xiao, Jonathan Tompson, et al.. (2023). Scaling Robot Learning with Semantically Imagined Experience. 38 indexed citations
2.
Yu, Lantao, Tianhe Yu, Jiaming Song, Willie Neiswanger, & Stefano Ermon. (2023). Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11016–11024. 3 indexed citations
3.
4.
Rajeswaran, Aravind, Tianhe Yu, Pieter Abbeel, et al.. (2023). Train Offline, Test Online: A Real Robot Learning Benchmark. 9197–9203. 10 indexed citations
5.
Yu, Tianhe & Ming Zhu. (2021). Image Enhancement Algorithm Based on Image Spatial Domain Segmentation. Computing and Informatics. 40(6). 1398–1421. 3 indexed citations
6.
7.
Yu, Tianhe, Garrett Thomas, Lantao Yu, et al.. (2020). MOPO: Model-based Offline Policy Optimization. arXiv (Cornell University). 33. 14129–14142. 7 indexed citations
8.
Luo, Yuping, et al.. (2020). On the Expressivity of Neural Networks for Deep Reinforcement Learning. 1. 2627–2637. 1 indexed citations
9.
Yu, Tianhe, Deirdre Quillen, Zhanpeng He, et al.. (2019). Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning. 2019. 1094–1100. 27 indexed citations
10.
Yu, Tianhe, Pieter Abbeel, Sergey Levine, & Chelsea Finn. (2019). One-Shot Composition of Vision-Based Skills from Demonstration. 2643–2650. 3 indexed citations
11.
Yu, Tianhe, Chelsea Finn, Sudeep Dasari, et al.. (2018). One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning. International Conference on Learning Representations. 3 indexed citations
12.
Finn, Chelsea, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, & Sergey Levine. (2017). One-Shot Visual Imitation Learning via Meta-Learning. 357–368. 40 indexed citations
13.
Zhang, Richard, Jun-Yan Zhu, Phillip Isola, et al.. (2017). Real-time user-guided image colorization with learned deep priors. ACM Transactions on Graphics. 36(4). 1–11. 331 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 Jianchao Tan Breakdown of academic impact, for papers by Chengying Gao Breakdown of academic impact, for papers by Shiran Zada Breakdown of academic impact, for papers by William T. Freeman Breakdown of academic impact, for papers by Yuxin Zhang Breakdown of academic impact, for papers by Songhua Liu Breakdown of academic impact, for papers by Yong-Goo Shin Breakdown of academic impact, for papers by Rudrabha Mukhopadhyay Breakdown of academic impact, for papers by Yuheng Li Breakdown of academic impact, for papers by Rogério Feris
Rankless by CCL
2026