Qitong Gao - RankMe

25 papers A* 7A 2C 1Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Variational Adversarial Training Towards Policies with Improved Robustness. AISTATS Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic
2024	A*	`conf`	Off-Policy Selection for Initiating Human-Centric Experimental Design. NeurIPS Ge Gao, Xi Yang, Qitong Gao, Song Ju, Miroslav Pajic, Min Chi
2024	J	`jnl`	Off-Policy Selection for Initiating Human-Centric Experimental Design. CoRR Ge Gao, Xi Yang, Qitong Gao, Song Ju, Miroslav Pajic, Min Chi
2024	A*	`conf`	On Trajectory Augmentations for Off-Policy Evaluation. ICLR Ge Gao, Qitong Gao, Xi Yang, Song Ju, Miroslav Pajic, Min Chi
2024	A	`conf`	Steering Decision Transformers via Temporal Difference Learning. IROS Hao-Lun Hsu, Alper Kamil Bozkurt, Juncheng Dong, Qitong Gao, Vahid Tarokh, Miroslav Pajic
2024	J	`jnl`	ε-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment. CoRR Hao-Lun Hsu, Qitong Gao, Miroslav Pajic
2024	—	`conf`	ϵ-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment. ICCPS Hao-Lun Hsu, Qitong Gao, Miroslav Pajic
2023	A*	`conf`	Off-Policy Evaluation for Human Feedback. NeurIPS Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
2023	J	`jnl`	Off-Policy Evaluation for Human Feedback. CoRR Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
2023	—	`conf`	Offline Learning of Closed-Loop Deep Brain Stimulation Controllers for Parkinson Disease Treatment. ICCPS Qitong Gao, Stephen L. Schmidt, Afsana Chowdhury, Guangyu Feng, Jennifer J. Peters, Katherine Genty, Warren M. Grill, Dennis A. Turner, Miroslav Pajic
2023	J	`jnl`	Offline Learning of Closed-Loop Deep Brain Stimulation Controllers for Parkinson Disease Treatment. CoRR Qitong Gao, Stephen L. Schmidt, Afsana Chowdhury, Guangyu Feng, Jennifer J. Peters, Katherine Genty, Warren M. Grill, Dennis A. Turner, Miroslav Pajic
2023	J	`jnl`	Robust Reinforcement Learning through Efficient Adversarial Herding. CoRR Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic
2023	A*	`conf`	Variational Latent Branching Model for Off-Policy Evaluation. ICLR Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic
2023	J	`jnl`	Variational Latent Branching Model for Off-Policy Evaluation. CoRR Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic
2022	A*	`conf`	A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification. IJCAI Ge Gao, Qitong Gao, Xi Yang, Miroslav Pajic, Min Chi
2022	A*	`conf`	Gradient Importance Learning for Incomplete Observations. ICLR Qitong Gao, Dong Wang, Joshua David Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
2022	C	`conf`	Learning Monotone Dynamics by Neural Networks. ACC Yu Wang, Qitong Gao, Miroslav Pajic
2022	—	`conf`	Learning-Based Vulnerability Analysis of Cyber-Physical Systems. ICCPS Amir Khazraei, Spencer Hallyburton, Qitong Gao, Yu Wang, Miroslav Pajic
2022	—	`conf`	Offline Policy Evaluation for Learning-based Deep Brain Stimulation Controllers. ICCPS Qitong Gao, Stephen L. Schmidt, Karthik Kamaravelu, Dennis A. Turner, Warren M. Grill, Miroslav Pajic
2021	J	`jnl`	Imputation-Free Learning from Incomplete Observations. CoRR Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
2021	J	`jnl`	Learning-Based Vulnerability Analysis of Cyber-Physical Systems. CoRR Amir Khazraei, Spencer Hallyburton, Qitong Gao, Yu Wang, Miroslav Pajic
2020	A*	`conf`	Deep Imitative Reinforcement Learning for Temporal Logic Robot Motion Planning with Noisy Semantic Observations. ICRA Qitong Gao, Miroslav Pajic, Michael M. Zavlanos
2020	J	`jnl`	Deep Learning for Stable Monotone Dynamical Systems. CoRR Yu Wang, Qitong Gao, Miroslav Pajic
2020	—	`conf`	Model-Based Design of Closed Loop Deep Brain Stimulation Controller using Reinforcement Learning. ICCPS Qitong Gao, Michael Naumann, Ilija Jovanov, Vuk Lesi, Karthik Kumaravelu, Warren M. Grill, Miroslav Pajic
2019	—	`conf`	Reduced variance deep reinforcement learning with temporal logic specifications. ICCPS Qitong Gao, Davood Hajinezhad, Yan Zhang, Yiannis Kantaros, Michael M. Zavlanos