| Deep Reinforcement Learning with Robust and Smooth Policy Q Shen, Y Li, H Jiang, Z Wang, T Zhao International Conference on Machine Learning, 8707-8718, 2020 | 68* | 2020 |
| Gflowout: Dropout with generative flow networks D Liu, M Jain, BFP Dossou, Q Shen, S Lahlou, A Goyal, N Malkin, ... International Conference on Machine Learning, 21715-21729, 2023 | 10 | 2023 |
| The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline H Wang, Q Shen, Y Tong, Y Zhang, K Kawaguchi NeurIPS 2023 Workshop on Backdoors in Deep Learning-The Good, the Bad, and …, 2023 | 5 | 2023 |
| VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models X Li, Q Shen, K Kawaguchi arXiv preprint arXiv:2312.00057, 2023 | 1* | 2023 |
| State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning C Chen, H Tang, Y Ma, C Wang, Q Shen, D Li, J Hao arXiv preprint arXiv:2211.15065, 2022 | 1 | 2022 |
| PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification Q Shen, WH Tang, Z Deng, A Psaros, K Kawaguchi Advances in Neural Information Processing Systems (NeurIPS), 2023, 2023 | | 2023 |
| PRIMAL: An Linear Programming-based Sparse Learning Library in R and Python Q Shen, Z Li, Y Xie, T Zhao | | |
Tuo ZhaoAssistant Professor, Georgia TechVerified email at gatech.edu
