Zhou, Qi

16 publications

NeurIPS 2025 A Set of Generalized Components to Achieve Effective Poison-Only Clean-Label Backdoor Attacks with Collaborative Sample Selection and Triggers Zhixiao Wu, Yao Lu, Jie Wen, Hao Sun, Qi Zhou, Guangming Lu

ICML 2025 Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision Qi Zhou, Dongxia Wang, Tianlin Li, Yun Lin, Yang Liu, Jin Song Dong, Qing Guo

ICLRW 2025 Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision Qi Zhou, Tianlin Li, Qing Guo, Dongxia Wang, Yun Lin, Yang Liu, Jin Song Dong

ICCV 2025 Enhancing Zero-Shot Object Counting via Text-Guided Local Ranking and Number-Evoked Global Attention Shiwei Zhang, Qi Zhou, Wei Ke

NeurIPS 2025 InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models Yanggan Gu, Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Fei Wu, Hongxia Yang

NeurIPS 2025 InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Yanggan Gu, Fei Wu, Hongxia Yang

AAAI 2024 High-Fidelity Gradient Inversion in Distributed Learning Zipeng Ye, Wenjian Luo, Qi Zhou, Yubo Tang

AAAI 2024 Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai

AAAI 2023 Efficient Exploration in Resource-Restricted Reinforcement Learning Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang

UAI 2023 Learning Robust Representation for Reinforcement Learning with Distractions by Reward Sequence Prediction Qi Zhou, Jie Wang, Qiyuan Liu, Yufei Kuang, Wengang Zhou, Houqiang Li

AAAI 2023 Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions Qiyuan Liu, Qi Zhou, Rui Yang, Jie Wang

AAAI 2022 Learning Robust Policy Against Disturbance in Transition Dynamics via State-Conservative Policy Optimization Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

AAAI 2022 Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

AAAI 2021 EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation Qi Zhou, Haipeng Chen, Yitao Zheng, Zhen Wang

AAAI 2020 Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization Qi Zhou, Houqiang Li, Jie Wang

NeurIPS 2020 Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method Qi Zhou, Yufei Kuang, Zherui Qiu, Houqiang Li, Jie Wang