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Yidan Qin
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2020 – today
- 2023
- [j4]Yidan Qin, Peng Zhang, Xuanhong Deng, Guobo Liao:
Innovation efficiency evaluation of industrial technology research institute based on three-stage DEA. Expert Syst. Appl. 224: 120004 (2023) - 2021
- [j3]Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian:
Learning Invariant Representation of Tasks for Robust Surgical State Estimation. IEEE Robotics Autom. Lett. 6(2): 3208-3215 (2021) - [j2]Yidan Qin, Max Allan, Joel W. Burdick, Mahdi Azizian:
Autonomous Hierarchical Surgical State Estimation During Robot-Assisted Surgery Through Deep Neural Networks. IEEE Robotics Autom. Lett. 6(4): 6220-6227 (2021) - [i3]Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian:
Learning Invariant Representation of Tasks for Robust Surgical State Estimation. CoRR abs/2102.09119 (2021) - 2020
- [c3]Yidan Qin, Sahba Aghajani Pedram, Seyedshams Feyzabadi, Max Allan, A. Jonathan McLeod, Joel W. Burdick, Mahdi Azizian:
Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources. ICRA 2020: 371-377 - [c2]Yidan Qin, Seyedshams Feyzabadi, Max Allan, Joel W. Burdick, Mahdi Azizian:
daVinciNet: Joint Prediction of Motion and Surgical State in Robot-Assisted Surgery. IROS 2020: 2921-2928 - [i2]Yidan Qin, Sahba Aghajani Pedram, Seyedshams Feyzabadi, Max Allan, A. Jonathan McLeod, Joel W. Burdick, Mahdi Azizian:
Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources. CoRR abs/2002.02921 (2020) - [i1]Yidan Qin, Seyedshams Feyzabadi, Max Allan, Joel W. Burdick, Mahdi Azizian:
daVinciNet: Joint Prediction of Motion and Surgical State in Robot-Assisted Surgery. CoRR abs/2009.11937 (2020)
2010 – 2019
- 2019
- [j1]Qin Liu, Yidan Qin, Hongming Zhu, Hongfei Fan:
Software Productivity in DevOps. J. Softw. 14(3): 129-137 (2019) - [c1]Qinglan Peng, Yunni Xia, Feng Zeng, Jia Lee, Chunrong Wu, Xin Luo, Wanbo Zheng, Hui Liu, Yidan Qin, Peng Chen:
Mobility-Aware and Migration-Enabled Online Edge User Allocation in Mobile Edge Computing. ICWS 2019: 91-98
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