|
Z. Ni, L. Li, J. Liu, J. Luo, X. Zhou, and Y. Gao, “The Design of Intelligent Integrated Control Software Framework of Facilities for Scientific Experiments”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 131. |
|
Y. Jiao et al., “Progress of physics studies and beam commissioning of the High Energy Photon Source”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPG31, this conference. |
|
Y. Gao, T. G. Robertazzi, K. A. Brown, M. Harvey, J. Morris, and R. H. Olsen, “A New Simulation Timing System for Software Testing in Collider-Accelerator Control Systems”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 306. |
|
Y. Gao, T. G. Robertazzi, K. A. Brown, J. Morris, and R. H. Olsen, “A New Simulation Stucture to Improve Software Dependability in Collider-Accelerator Control Systems”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 300. |
|
Y. Gao, T. G. Robertazzi, K. A. Brown, J. Morris, and R. H. Olsen, “A New Simulation Architecture for Improving Software Reliability in Collider-Accelerator Control Systems”, in Proc. 16th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'17), Barcelona, Spain, Oct. 2017, pp. 1261-1265. |
|
Y. Gao, T. G. Robertazzi, K. A. Brown, and J. Chen, “A Success-History Based Learning Procedure to Optimize Server Throughput in Large Distributed Control Systems”, in Proc. 16th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'17), Barcelona, Spain, Oct. 2017, pp. 1182-1189. |
|
Y. Gao, K. A. Brown, P. S. Dyer, S. Seletskiy, and H. Zhao, “Applying Machine Learning to Optimization of Cooling Rate at Low Energy RHIC Electron Cooler”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 3391-3394. |
|
Y. Gao et al., “Optimization of AGS bunch merging with reinforcement learning”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS53, this conference. |
|
Y. Gao et al., “Initial results of applying an autoencoder to detect anomalies in the air conditioning systems of the Brookhaven accelerator complex”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL013, pp. 4448-4451. |
|
Y. Gao et al., “Exploratory Data Analysis on the RHIC Cryogenics System Compressor Dataset”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper TUPDP138, pp. 907-912. |
