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Sanbao Su
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2020 – today
- 2024
- [j5]Sanbao Su, Songyang Han, Yiming Li, Zhili Zhang, Chen Feng, Caiwen Ding, Fei Miao:
Collaborative Multi-Object Tracking With Conformal Uncertainty Propagation. IEEE Robotics Autom. Lett. 9(4): 3323-3330 (2024) - [j4]Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao:
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Trans. Mach. Learn. Res. 2024 (2024) - [c6]Sanbao Su, Xin Li, Thang Long Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren:
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks. ECCV (78) 2024: 325-342 - [i6]Sanbao Su, Nuo Chen, Felix Juefei-Xu, Chen Feng, Fei Miao:
ɑ-SSC: Uncertainty-Aware Camera-based 3D Semantic Scene Completion. CoRR abs/2406.11021 (2024) - 2023
- [j3]Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao:
Robust Multi-Agent Reinforcement Learning with State Uncertainty. Trans. Mach. Learn. Res. 2023 (2023) - [c5]Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao:
Uncertainty Quantification of Collaborative Detection for Self-Driving. ICRA 2023: 5588-5594 - [i5]Sanbao Su, Songyang Han, Yiming Li, Zhili Zhang, Chen Feng, Caiwen Ding, Fei Miao:
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation. CoRR abs/2303.14346 (2023) - [i4]Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao:
Robust Multi-Agent Reinforcement Learning with State Uncertainty. CoRR abs/2307.16212 (2023) - 2022
- [j2]Sanbao Su, Chang Meng, Fan Yang, Xiaolong Shen, Leibin Ni, Wei Wu, Zhihang Wu, Junfeng Zhao, Weikang Qian:
VECBEE: A Versatile Efficiency-Accuracy Configurable Batch Error Estimation Method for Greedy Approximate Logic Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 5085-5099 (2022) - [c4]Songyang Han, He Wang, Sanbao Su, Yuanyuan Shi, Fei Miao:
Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles. ICRA 2022: 8765-8771 - [i3]Songyang Han, He Wang, Sanbao Su, Yuanyuan Shi, Fei Miao:
Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles. CoRR abs/2203.06333 (2022) - [i2]Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao:
Uncertainty Quantification of Collaborative Detection for Self-Driving. CoRR abs/2209.08162 (2022) - [i1]Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao:
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? CoRR abs/2212.02705 (2022) - 2020
- [j1]Sanbao Su, Chen Zou, Weijiang Kong, Jie Han, Weikang Qian:
A Novel Heuristic Search Method for Two-Level Approximate Logic Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(3): 654-669 (2020)
2010 – 2019
- 2018
- [c3]Lei Zhou, Chunlei Cai, Yue Gao, Sanbao Su, Junmin Wu:
Variational Autoencoder for Low Bit-rate Image Compression. CVPR Workshops 2018: 2617-2620 - [c2]Sanbao Su, Yi Wu, Weikang Qian:
Efficient batch statistical error estimation for iterative multi-level approximate logic synthesis. DAC 2018: 54:1-54:6 - [c1]Zhuangzhuang Zhou, Yue Yao, Shuyang Huang, Sanbao Su, Chang Meng, Weikang Qian:
DALS: delay-driven approximate logic synthesis. ICCAD 2018: 86
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