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ORCIDQianli Shen
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2020 – today
- 2026
[j2]Zheyuan Hu
, Nazanin Ahmadi Daryakenari, Qianli Shen, Kenji Kawaguchi, George Em Karniadakis:
State-space models are accurate and efficient neural operators for dynamical systems. Neural Networks 197: 108496 (2026)- [i13]Yuchen Huang, Xiang Li, Zhenqing Ling, Sijia Li, Qianli Shen, Daoyuan Chen, Yi R. Fung, Yaliang Li:
CDR-Bench: Evaluating Faithful Execution of Compositional, Order-Sensitive Data Refinement Recipes. CoRR abs/2606.31435 (2026) - 2025
- [c7]Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Qianli Shen, Yaliang Li, Ying Shen:
Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data. NeurIPS 2025 - [i12]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:
Baichuan-M1: Pushing the Medical Capability of Large Language Models. CoRR abs/2502.12671 (2025) - [i11]Xiang Li, Qianli Shen, Haonan Wang, Kenji Kawaguchi:
LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning. CoRR abs/2507.22499 (2025) - [i10]Qianli Shen, Daoyuan Chen, Yilun Huang, Zhenqing Ling, Yaliang Li, Bolin Ding, Jingren Zhou:
BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning. CoRR abs/2510.26374 (2025) - 2024
- [c6]Xiang Li, Qianli Shen, Kenji Kawaguchi:
VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models. CVPR 2024: 12363-12373 - [c5]Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi:
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline. ICML 2024: 51465-51483 - [c4]Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi:
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization. NeurIPS 2024 - [i9]Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi:
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline. CoRR abs/2401.04136 (2024) - [i8]Yang Zhang, Yawei Li, Xinpeng Wang, Qianli Shen, Barbara Plank, Bernd Bischl, Mina Rezaei, Kenji Kawaguchi:
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models. CoRR abs/2405.18218 (2024) - [i7]Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi:
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization. CoRR abs/2406.14095 (2024) - [i6]Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen, Kenji Kawaguchi, George Em Karniadakis:
State-space models are accurate and efficient neural operators for dynamical systems. CoRR abs/2409.03231 (2024) - 2023
- [c3]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:
GFlowOut: Dropout with Generative Flow Networks. ICML 2023: 21715-21729 - [c2]Qianli Shen, Wai Hoh Tang, Zhun Deng, Apostolos F. Psaros, Kenji Kawaguchi:
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification. NeurIPS 2023 - [i5]Qianli Shen, Wai Hoh Tang, Zhun Deng, Apostolos F. Psaros, Kenji Kawaguchi:
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification. CoRR abs/2310.06923 (2023) - [i4]Xiang Li, Qianli Shen, Kenji Kawaguchi:
Probabilistic Copyright Protection Can Fail for Text-to-Image Generative Models. CoRR abs/2312.00057 (2023) - 2022
- [i3]Dianbo Liu, Moksh Jain, Bonaventure Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio:
GFlowOut: Dropout with Generative Flow Networks. CoRR abs/2210.12928 (2022) - [i2]Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao:
State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning. CoRR abs/2211.15065 (2022) - 2020
- [c1]Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao:
Deep Reinforcement Learning with Robust and Smooth Policy. ICML 2020: 8707-8718 - [i1]Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao:
Deep Reinforcement Learning with Smooth Policy. CoRR abs/2003.09534 (2020)
2010 – 2019
- 2011
- [j1]Jiyi Wu, Qianli Shen, Tong Wang, Ji Zhu, Jianlin Zhang:
Recent Advances in Cloud Security. J. Comput. 6(10): 2156-2163 (2011)
Coauthor Index
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