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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
Published:
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portfolio
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publications
Differentiable Spatial Regression: A Novel Method for 3D Hand Pose Estimation
Published in IEEE Transactions on Multimedia, 2020
We propose a novel framework for hand pose estimation from depth image. The framework mainly utilise a differentiable decoder structure.
Recommended citation: X. Zhang and F. Zhang, "Differentiable Spatial Regression: A Novel Method for 3D Hand Pose Estimation," in IEEE Transactions on Multimedia, vol. 24, pp. 166-176, 2022, doi: 10.1109/TMM.2020.3047552. https://ieeexplore.ieee.org/document/9309323
NeoRL: A near real-world benchmark for offline reinforcement learning
Published in NeurIPS 2022, Datasets and Benchmarks Track, 2022
NeoRL presents conservative datasets for offline RL, highlights the complete pipeline for deploying offline RL in real-world applications, and also benchmarks recent offline RL algorithms on NeoRL under the complete pipeline.
Recommended citation: Qin, R. J., Zhang, X., Gao, S., Chen, X. H., Li, Z., Zhang, W., & Yu, Y. (2022). NeoRL: A near real-world benchmark for offline reinforcement learning. Advances in Neural Information Processing Systems, 35, 24753-24765. https://openreview.net/pdf?id=jNdLszxdtra
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models
Published in NeurIPS 2023, 2023
We propose Action Inference by Maximising Evidence (AIME), a novel algorithm for imitation from observation by transferring learnt world models.
Recommended citation: Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl, Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models, NeurIPS 2023 https://openreview.net/forum?id=WjlCQxpuxU
talks
AIME ICLR2023 RRL workshop
Published:
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models @ Workshop on Reincarnating Reinforcement Learning at ICLR 2023 Link to the paper: https://openreview.net/pdf?id=vjSwY0mftz
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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