Publications

Sanbao Su, Xin Li, Thang Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren (2024). MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks. In ECCV 2024.

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Sanbao Su, Songyang Han, Yiming Li, Zhili Zhang, Chen Feng, Caiwen Ding, Fei Miao (2024). Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation. In IEEE Robotics and Automation Letters.

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Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao (2024). What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?. In Transactions on Machine Learning Research.

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Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao (2023). Robust Multi-Agent Reinforcement Learning with State Uncertainty. Transactions on Machine Learning Research.

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Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao (2022). Uncertainty Quantification of Collaborative Detection for Self-Driving. In ICRA 2023.

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Sanbao Su, Chang Meng, Fan Yang, Xiaolong Shen, Leibin Ni, Wei Wu, Zhihang Wu, Junfeng Zhao, Weikang Qian (2022). VECBEE A Versatile Efficiency-Accuracy Configurable Batch Error Estimation Method for Greedy Approximate Logic Synthesis. In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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Songyang Han, He Wang, Sanbao Su, Yuanyuan Shi, Fei Miao (2022). Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles. In ICRA 2022.

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Sanbao Su, Chen Zou, Weijiang Kong, Jie Han, Weikang Qian (2020). A Novel Heuristic Search Method for Two-Level Approximate Logic Synthesis. In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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Sanbao Su, Yi Wu, Weikang Qian (2018). Efficient Batch Statistical Error Estimation for Iterative Multi-level Approximate Logic Synthesis. In DAC 2018.

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