Huazhe Xu

2.8k citations
29 papers · 400 indexed · 1 hit paper · h-index 11

Huazhe Xu

23 papers receiving 387 citations

Hit Papers

3D Diffusion Policy: Generalizable Visuomotor Policy Lear...562024202620251020304050

Peers

Huazhe Xu
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 162
  • Control and Systems Engineering 141
  • Computer Graphics and Computer-Aided Design 11
  • Human-Computer Interaction 16
  • Cognitive Neuroscience 52
Replace Benjamin Burchfiel with:
Benjamin Burchfiel United States
Bowen Wen United States
Michael Zillich Austria
Javier V. Gómez Spain
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Claudia Pérez-D’Arpino United States
Ravi Kiran Sarvadevabhatla India
José‐Joel González‐Barbosa Mexico
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Huazhe Xu relative to Benjamin Burchfiel United States Benjamin Burchfiel's profile →
Citations per field
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Benjamin Burchfiel · 1×
Citations per year

Countries citing papers authored by Huazhe Xu

Since Specialization
Citations

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

Fields of papers citing papers by Huazhe Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Huazhe Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Huazhe Xu Line = papers co-authored together Huazhe Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representationsbreakdown →
202456
11 202316
12 202331
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NovelD: A Simple yet Effective Exploration Criterion
202116
16 202116
17 202165
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Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
20202
19 201955
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Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees.
20183

About Huazhe Xu

Huazhe Xu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, having authored 29 papers that have together received 400 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (11 papers), Robot Manipulation and Learning (10 papers), Human Pose and Action Recognition (4 papers), Tactile and Sensory Interactions (4 papers), Multimodal Machine Learning Applications (3 papers), 3D Shape Modeling and Analysis (3 papers), Modular Robots and Swarm Intelligence (2 papers) and Robotic Mechanisms and Dynamics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Control and Systems Engineering (141 citations) and Computer Graphics and Computer-Aided Design (11 citations). Huazhe Xu has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Jiashun Wang, Trevor Darrell, Xiaolong Wang, Jingwei Xu, Sifei Liu, Gu Zhang, Shaoxiong Wang, Fisher Yu, Qi-Zhi Cai and Ruth Wang. Their work appears in journals such as Forest Ecology and Management, The International Journal of Robotics Research and IEEE Robotics and Automation Letters.

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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