Qianli Shen

According to our database, Qianli Shen authored at least 17 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

State-space models are accurate and efficient neural operators for dynamical systems.

Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen, Kenji Kawaguchi, George Em Karniadakis

Neural Networks, 2026

2025

BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning.

Qianli Shen, Daoyuan Chen, Yilun Huang, Zhenqing Ling, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, October, 2025

LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning.

Xiang Li, Qianli Shen, Haonan Wang, Kenji Kawaguchi

CoRR, July, 2025

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, Fan Yang, Fei Kou, Fei Li, Fuzhong Chen, Guosheng Dong, Han Liu, Hongda Zhang, Jin He, Jinjie Yang, Kangxi Wu, Kegeng Wu, Lei Su, Linlin Niu, Linzhuang Sun, Mang Wang, Pengcheng Fan, Qianli Shen, Rihui Xin, Shunya Dang, Songchi Zhou, Weipeng Chen, Wenjing Luo, Xin Chen, Xin Men, Xionghai Lin, Xuezhen Dong, Yan Zhang, Yifei Duan, Yuyan Zhou, Zhi Ma, Zhiying Wu

CoRR, February, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

CoRR, 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

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models.

Xiang Li, Qianli Shen, Kenji Kawaguchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Probabilistic Copyright Protection Can Fail for Text-to-Image Generative Models.

Xiang Li, Qianli Shen, Kenji Kawaguchi

CoRR, 2023

PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification.

Qianli Shen, Wai Hoh Tang, Zhun Deng, Apostolos F. Psaros, Kenji Kawaguchi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the International Conference on Machine Learning, 2023

2022

State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning.

Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao

CoRR, 2022

2020

Deep Reinforcement Learning with Smooth Policy.

Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao

CoRR, 2020

Deep Reinforcement Learning with Robust and Smooth Policy.

Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao

Proceedings of the 37th International Conference on Machine Learning, 2020

2011

Recent Advances in Cloud Security.

Jiyi Wu, Qianli Shen, Tong Wang, Ji Zhu, Jianlin Zhang

J. Comput., 2011