Hi! This is Qianli Shen(沈千里):)

I’m a third-year PhD student at School of Computing, National University of Singapore, advised by Prof. Kenji Kawaguchi. Previously, I completed my B.S. in Computer Science at Peking University in July 2020, advised by Prof. Zhanxing Zhu. In summer 2019, I visited ISyE, Georgia Tech, working with Prof. Tuo Zhao.

My research interest lies in using machine learning algorithms to solve practical problems.

Collaborations, discussions and chats are always welcome!

Email: shenqianli [at] 

CV / Google Scholar / GitHub / WeChat / Ins / Twitter


The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline [arxiv][code]
Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi
In Advances in Neural Information Processing Systems (NeurIPS), 2023 (BUGS Workshop, Oral)


VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models [arxiv][code]
Xiang Li*, Qianli Shen*, Kenji Kawaguchi
Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Highlight)

PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification [arxiv][code]
Qianli Shen, Wai Hoh Tang, Zhun Deng, Apostolos Psaros, Kenji Kawaguchi
In Advances in Neural Information Processing Systems (NeurIPS), 2023

GFlowOut: Dropout with Generative Flow Networks [arxiv][code]
Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio
International Conference on Machine Learning (ICML), 2023

Deep Reinforcement Learning with Robust and Smooth Policy [arxiv][html]
Qianli Shen*, Yan Li*, Haoming Jiang, Zhaoran Wang, Tuo Zhao
International Conference on Machine Learning (ICML), 2020


PRIMAL: PaRametric sImplex Method for spArse Learning [GitHub]
Qianli Shen*, Zichong Li*, Yujia Xie and Tuo Zhao