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publications
An Intelligent Cost-Efficient Skipping Based Sensing Scheme for Cognitive Radio Transmissions
Published in National Intellectual Property Administration, PRC (China Patent), 2021
Recommended citation: Li, X., Dong, Y., Zhang, Y., Sun, H., Zhang, R., Ding, H., An Intelligent Cost-Efficient Skipping Based Sensing Scheme for Cognitive Radio Transmissions, CN112367131A,2021-02-12 https://patents.google.com/patent/CN112367131A
Temporal Segmentation of Fine-grained Semantic action: A Motion-Centered Figure Skating Dataset
Published in Association for the Advancement of Artificial Intelligence (AAAI2021), 2021
Recommended citation: Liu, S., Zhang, A., Li, Y., Zhou, J., Xu, L., Dong, Z., & Zhang, R. (2021, May). Temporal segmentation of fine-gained semantic action: A motion-centered figure skating dataset. In Proceedings of the AAAI conference on artificial intelligence (Vol. 35, No. 3, pp. 2163-2171). https://doi.org/10.1609/aaai.v35i3.16314
Domain adaptation in nuclei semantic segmentation
Published in International Conference on Computer Vision, Application, and Design (CVAD 2021), 2021
Recommended citation: Li, D., Shi, Z., Zhang, H., & Zhang, R*. (2021, December). Domain adaptation in nuclei semantic segmentation. In International Conference on Computer Vision, Application, and Design (CVAD 2021) (Vol. 12155, pp. 263-271). SPIE. https://doi.org/10.1117/12.2626575
When DSA Meets SWIPT: A Joint Power Allocation and Time Splitting Scheme Based on Multi-Agent Deep Reinforcement Learning
Published in IEEE Transactions on Vehicular Technology (IEEE TVT), 2022
Recommended citation: R. Zhang, X. Li and N. Zhao, "When DSA Meets SWIPT: A Joint Power Allocation and Time Splitting Scheme Based on Multi-Agent Deep Reinforcement Learning," in IEEE Transactions on Vehicular Technology, vol. 72, no. 2, pp. 2740-2744, Feb. 2023, doi: 10.1109/TVT.2022.3213243. https://ieeexplore.ieee.org/document/9915473
Model-based Reinforcement Learning for Parameterized Action Spaces
Published in Forty-first International Conference on Machine Learning (ICML), 2024
Recommended citation: Zhang, R., Fu, H., Miao, Y., & Konidaris, G. (2024). Model-based Reinforcement Learning for Parameterized Action Spaces. arXiv preprint arXiv:2404.03037. https://arxiv.org/abs/2404.03037
Learning to Edit Visual Programs with Self-Supervision
Published in Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), 2024
Recommended citation: Jones, R. K., Zhang, R., Ganeshan, A., & Ritchie, D. (2024). Learning to Edit Visual Programs with Self-Supervision. Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024). https://arxiv.org/abs/2406.02383
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching assistant of ENGN 2912B: Scientific Programming in C++
Graduated course, Brown University, Engineering, 2023
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Teaching assistant of CSCI 2951R: Introduction to Robotics
Undergraduate course, Brown University, , 2023
This is a description of a teaching experience. You can use markdown like any other post.