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Qianli Shen
Qianli Shen
Verified email at comp.nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
Deep Reinforcement Learning with Robust and Smooth Policy
Q Shen, Y Li, H Jiang, Z Wang, T Zhao
International Conference on Machine Learning (ICML), 2020, 8707-8718, 2020
762020
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 (ICML), 2023, 21715-21729, 2023
132023
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
International Conference on Machine Learning (ICML), 2024, 2023
92023
VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
X Li*, Q Shen*, K Kawaguchi
Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 2023
4*2023
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models
Y Zhang, Y Li, X Wang, Q Shen, B Plank, B Bischl, M Rezaei, ...
arXiv preprint arXiv:2405.18218, 2024
22024
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
12023
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
12022
State-space models are accurate and efficient neural operators for dynamical systems
Z Hu, NA Daryakenari, Q Shen, K Kawaguchi, GE Karniadakis
arXiv preprint arXiv:2409.03231, 2024
2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
Q Shen, Y Wang, Z Yang, X Li, H Wang, Y Zhang, J Scarlett, Z Zhu, ...
arXiv preprint arXiv:2406.14095, 2024
2024
PRIMAL: A Linear Programming-based Sparse Learning Library in R and Python
Q Shen, Z Li, Y Xie, T Zhao
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Articles 1–10