Recent Advances in Cloud Security. - Jiyi Wu; Qianli Shen; Tong Wang 005; Ji Zhu; Jianlin Zhang (J. Comput., 2011)

Deep Reinforcement Learning with Robust and Smooth Policy. - Qianli Shen; Yan Li 074; Haoming Jiang; Zhaoran Wang 001; Tuo Zhao (ICML, 2020)

Deep Reinforcement Learning with Smooth Policy. - Qianli Shen; Yan Li 074; Haoming Jiang; Zhaoran Wang 001; Tuo Zhao (CoRR, 2020)

State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning. - Chen Chen 077; Hongyao Tang; Yi Ma 005; Chao Wang; Qianli Shen; Dong Li 016; Jianye Hao (CoRR, 2022)

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; et al. (ICML, 2023)

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

Probabilistic Copyright Protection Can Fail for Text-to-Image Generative Models. - Xiang Li; Qianli Shen; Kenji Kawaguchi (CoRR, 2023)

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

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 (CoRR, 2024)

FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models. - Yang Zhang; Yawei Li; Xinpeng Wang 003; Qianli Shen; Barbara Plank; Bernd Bischl; Mina Rezaei; Kenji Kawaguchi (CoRR, 2024)

State-space models are accurate and efficient neural operators for dynamical systems. - Zheyuan Hu 002; Nazanin Ahmadi Daryakenari; Qianli Shen; Kenji Kawaguchi; George Em Karniadakis (CoRR, 2024)

Baichuan-M1: Pushing the Medical Capability of Large Language Models. - Bingning Wang; Haizhou Zhao; Huozhi Zhou; Liang Song; Mingyu Xu; Wei Cheng; Xiangrong Zeng; Yupeng Zhang; Yuqi Huo; Zecheng Wang; Zhengyun Zhao; Da Pan 003; et al. (CoRR, 2025)

LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning. - Xiang Li; Qianli Shen; Haonan Wang; Kenji Kawaguchi (CoRR, 2025)