Welcome!
Hello! I am Qianli Shen (沈千里), a fourth-year PhD student at the School of Computing at the National University of Singapore, where I am advised by Prof. Kenji Kawaguchi. I completed my B.S. in Computer Science at Peking University in July 2020, under the guidance of Prof. Zhanxing Zhu. In the summer of 2019, I visited the ISyE at Georgia Tech and worked with Prof. Tuo Zhao.
My research interests focus on leveraging machine learning algorithms to address practical problems.
I welcome collaborations, discussions, and casual chats!
Email: shenqianli [at] u.nus.edu
| CV | Google Scholar | GitHub |
Publications (* indicates equal contribution)
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization [arxiv]
Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi
In Advances in Neural Information Processing Systems (NeurIPS), 2024
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)
International Conference on Machine Learning (ICML), 2024 (Oral, top 1.5%)
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, top 2.5%)
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
Preprints
LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning
Xiang Li, Qianli Shen, Haonan Wang, Kenji Kawaguchi
In Advances in Neural Information Processing Systems (NeurIPS), 2024 (SafeGenAI Workshop)
State-Space Models are Accurate and Efficient Neural Operators for Dynamical Systems [arxiv]
Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen, Kenji Kawaguchi, George Em Karniadakis
Preprint
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models [arxiv]
Yang Zhang, Yawei Li, Xinpeng Wang, Qianli Shen, Barbara Plank, Bernd Bischl, Mina Rezaei, Kenji Kawaguchi
In Advances in Neural Information Processing Systems (NeurIPS), 2024 (Compression Workshop)
State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning [arxiv]
Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao
Preprint
Softwares
PRIMAL: PaRametric sImplex Method for spArse Learning [GitHub]
Qianli Shen*, Zichong Li*, Yujia Xie and Tuo Zhao