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Published in 27th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2021
Authors: Zitong Bo, Ying Qiao, Chang Leng, Hongan Wang, Chaoping Guo and Shaohui Zhang
Recommended citation: BO, Zitong, et al. Developing real-time scheduling policy by deep reinforcement learning. In: 2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2021. p. 131-142.
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Published in 2024 International Conference on Intelligent Computing (ICIC), 2024
Authors: Zitong Bo, Chaoyi Yang, Yilin Li, Kaiyue Xu, Ying Qiao, Chang Lengand Hongan Wang
Recommended citation: BO, Zitong, et al. HFGCN: Hybrid Filter Graph Convolutional Network for Heterophilic Graphs. In: International Conference on Intelligent Computing. Singapore: Springer Nature Singapore, 2024. p. 439-450.
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Published in 2024 International Conference on Intelligent Computing (ICIC), 2024
Authors: Zitong Bo, Yilin Li, Ying Qiao, Chang Leng and Hongan Wang
Recommended citation: BO, Zitong, et al. Designing Real-Time Neural Networks by Efficient Neural Architecture Search. In: International Conference on Intelligent Computing. Singapore: Springer Nature Singapore, 2024. p. 62-73.
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Published in The 42nd IEEE International Conference on Computer Design (ICCD), 2024
Authors: Zitong Bo, Chaoping Guo, Chang Leng, Ying Qiao and Hongan Wang
I will make a presentation in Milan, Italy on November 18
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Published in arXiv preprint, 2025
Authors: Zitong Bo, Yue Hu, Jinming Ma, Mingliang Zhou, Junhui Yin, Yachen Kang, Yuqi Liu, Tong Wu, Diyun Xiang, Hao Chen
Recommended citation: Bo, Z., Hu, Y., Ma, J., Zhou, M., Yin, J., Kang, Y., Liu, Y., Wu, T., Xiang, D., & Chen, H. (2025). Reinforced Embodied Planning with Verifiable Reward for Real-World Robotic Manipulation. arXiv preprint arXiv:2509.25852.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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