Shen, Qianli

10 publications

NeurIPS 2025 Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Qianli Shen, Yaliang Li, Ying Shen

NeurIPSW 2024 FinerCut: Finer-Grained Interpretable Layer Pruning for Large Language Models Yang Zhang, Yawei Li, Xinpeng Wang, Qianli Shen, Barbara Plank, Bernd Bischl, Mina Rezaei, Kenji Kawaguchi

NeurIPSW 2024 LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning Xiang Li, Qianli Shen, Haonan Wang, Kenji Kawaguchi

NeurIPS 2024 Memory-Efficient Gradient Unrolling for Large-Scale Bi-Level Optimization Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi

ICML 2024 The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi

CVPR 2024 VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models Xiang Li, Qianli Shen, Kenji Kawaguchi

ICML 2023 GFlowOut: Dropout with Generative Flow Networks 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

NeurIPS 2023 PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification Qianli Shen, Wai Hoh Tang, Zhun Deng, Apostolos Psaros, Kenji Kawaguchi

NeurIPSW 2023 The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi

ICML 2020 Deep Reinforcement Learning with Robust and Smooth Policy Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao