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Qitong Gao
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Reduced variance deep reinforcement learning with temporal logic specifications
Q Gao, D Hajinezhad, Y Zhang, Y Kantaros, MM Zavlanos
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical …, 2019
522019
Effects of thermal aging on long-term reliability and failure modes of nano-silver sintered lap-shear joint
Y Tan, X Li, G Chen, Q Gao, GQ Lu, X Chen
International Journal of Adhesion and Adhesives 97, 102488, 2020
272020
Model-Based Design of Closed Loop Deep Brain Stimulation Controller using Reinforcement Learning
Q Gao, M Naumann, I Jovanov, V Lesi, K Kamaravelu, WM Grill, M Pajic
2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS …, 2020
23*2020
A reinforcement learning-informed pattern mining framework for multivariate time series classification
G Gao, Q Gao, X Yang, M Pajic, M Chi
31st International Joint Conference on Artificial Intelligence (IJCAI), 2022
172022
Learning-based vulnerability analysis of cyber-physical systems
A Khazraei, S Hallyburton, Q Gao, Y Wang, M Pajic
2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS …, 2022
152022
Deep learning approach for automated detection of retinal pathology from ultra-widefield retinal images
M Hu, J Amason, T Lee, Q Gao, D Borkar, M Pajic, M Hadziahmetovic
Investigative Ophthalmology & Visual Science 62 (8), 2129-2129, 2021
92021
Gradient Importance Learning for Incomplete Observations
Q Gao, D Wang, JD Amason, S Yuan, C Tao, R Henao, ...
International Conference on Learning Representations (ICLR), 2022
82022
Offline Policy Evaluation for Learning-based Deep Brain Stimulation Controllers
Q Gao, SL Schmidt, K Kamaravelu, DA Turner, WM Grill, M Pajic
International Conference on Cyber Physical Systems (ICCPS), 2022
62022
Deep Imitative Reinforcement Learning for Temporal Logic Robot Motion Planning with Noisy Semantic Observations
Q Gao, M Pajic, MM Zavlanos
2020 IEEE International Conference on Robotics and Automation (ICRA), 8490-8496, 2020
62020
Offline Learning of Closed-Loop Deep Brain Stimulation Controllers for Parkinson Disease Treatment
Q Gao, SL Schimdt, A Chowdhury, G Feng, JJ Peters, K Genty, WM Grill, ...
2023 ACM/IEEE 14th International Conference on Cyber-Physical Systems (ICCPS …, 2023
52023
Learning Monotone Dynamics by Neural Networks
Y Wang, Q Gao, M Pajic
American Control Conference (ACC), 2022
5*2022
Automated Identification of Referable Retinal Pathology in Teleophthalmology Setting
Q Gao, J Amason, S Cousins, M Pajic, M Hadziahmetovic
Translational Vision Science & Technology 10 (6), 30-30, 2021
52021
Robust Reinforcement Learning with Structured Adversarial Ensemble
J Dong, HL Hsu, Q Gao, V Tarokh, M Pajic
3*2023
Variational Latent Branching Model for Off-Policy Evaluation
Q Gao, G Gao, M Chi, M Pajic
The Eleventh International Conference on Learning Representations (ICLR), 2022
3*2022
At home adaptive dual target deep brain stimulation in Parkinson’s disease with proportional control
SL Schmidt, AH Chowdhury, KT Mitchell, JJ Peters, Q Gao, HJ Lee, ...
Brain 147 (3), 911-922, 2024
22024
Longitudinal choroidal development in preterm infants
SM Michalak, S Mangalesh, Y Chen, LL Shen, V Tai, K Winter, N Sarin, ...
Ophthalmology Science 4 (1), 100359, 2024
22024
Evaluation of a deep learning supported remote diagnosis model for identification of diabetic retinopathy using wide-field Optomap
T Lee, M Hu, Q Gao, J Amason, D Borkar, D D’Alessio, M Canos, A Shariff, ...
Annals of Eye Science 7, 11-11, 2022
22022
On Trajectory Augmentations for Off-Policy Evaluation
G Gao, Q Gao, X Yang, S Ju, M Pajic, M Chi
The Twelfth International Conference on Learning Representations, 2023
12023
Off-Policy Evaluation for Human Feedback
Q Gao, G Gao, J Dong, V Tarokh, M Chi, M Pajic
arXiv preprint arXiv:2310.07123, 2023
12023
{\epsilon}-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment
HL Hsu, Q Gao, M Pajic
arXiv preprint arXiv:2403.06814, 2024
2024
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Articles 1–20