Feng, Ruili

20 publications

CVPR 2025 BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs Zhantao Yang, Ruili Feng, Keyu Yan, Huangji Wang, Zhicai Wang, Shangwen Zhu, Han Zhang, Jie Xiao, Pingyu Wu, Kai Zhu, Jixuan Chen, Chen-Wei Xie, Yue Yang, Hongyang Zhang, Yu Liu, Fan Cheng

NeurIPS 2025 The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control Ruili Feng, Han Zhang, Zhilei Shu, Zhantao Yang, Longxiang Tang, Zhicai Wang, Andy Zheng, Jie Xiao, Zhiheng Liu, Ruihang Chu, Yukun Huang, Yu Liu, Hongyang Zhang

ICML 2024 CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models Jie Xiao, Kai Zhu, Han Zhang, Zhiheng Liu, Yujun Shen, Zhantao Yang, Ruili Feng, Yu Liu, Xueyang Fu, Zheng-Jun Zha

ICLR 2024 DreamClean: Restoring Clean Image Using Deep Diffusion Prior Jie Xiao, Ruili Feng, Han Zhang, Zhiheng Liu, Zhantao Yang, Yurui Zhu, Xueyang Fu, Kai Zhu, Yu Liu, Zheng-Jun Zha

ICML 2024 IBD-PSC: Input-Level Backdoor Detection via Parameter-Oriented Scaling Consistency Linshan Hou, Ruili Feng, Zhongyun Hua, Wei Luo, Leo Yu Zhang, Yiming Li

ICLR 2024 Lipschitz Singularities in Diffusion Models Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng

ICML 2023 Cones: Concept Neurons in Diffusion Models for Customized Generation Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao

NeurIPS 2023 Customizable Image Synthesis with Multiple Subjects Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao

NeurIPS 2023 DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning Xunhan Hu, Jian Zhao, Wengang Zhou, Ruili Feng, Houqiang Li

CVPR 2023 Dimensionality-Varying Diffusion Process Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng

CVPR 2023 Neural Dependencies Emerging from Learning Massive Categories Ruili Feng, Kecheng Zheng, Kai Zhu, Yujun Shen, Jian Zhao, Yukun Huang, Deli Zhao, Jingren Zhou, Michael Jordan, Zheng-Jun Zha

ICCV 2023 Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models Kecheng Zheng, Wei Wu, Ruili Feng, Kai Zhu, Jiawei Liu, Deli Zhao, Zheng-Jun Zha, Wei Chen, Yujun Shen

ICCV 2023 Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning Kai Zhu, Kecheng Zheng, Ruili Feng, Deli Zhao, Yang Cao, Zheng-Jun Zha

CVPRW 2022 Context Attention Network for Skeleton Extraction Zixuan Huang, Yunfeng Wang, Zhiwen Chen, Xin Gao, Ruili Feng, Xiaobo Li

ICML 2022 Principled Knowledge Extrapolation with GANs Ruili Feng, Jie Xiao, Kecheng Zheng, Deli Zhao, Jingren Zhou, Qibin Sun, Zheng-Jun Zha

NeurIPS 2022 Rank Diminishing in Deep Neural Networks Ruili Feng, Kecheng Zheng, Yukun Huang, Deli Zhao, Michael I. Jordan, Zheng-Jun Zha

CVPR 2022 Weakly Supervised High-Fidelity Clothing Model Generation Ruili Feng, Cheng Ma, Chengji Shen, Xin Gao, Zhenjiang Liu, Xiaobo Li, Kairi Ou, Deli Zhao, Zheng-Jun Zha

NeurIPS 2021 Low-Rank Subspaces in GANs Jiapeng Zhu, Ruili Feng, Yujun Shen, Deli Zhao, Zheng-Jun Zha, Jingren Zhou, Qifeng Chen

ICML 2021 Uncertainty Principles of Encoding GANs Ruili Feng, Zhouchen Lin, Jiapeng Zhu, Deli Zhao, Jingren Zhou, Zheng-Jun Zha

ICML 2021 Understanding Noise Injection in GANs Ruili Feng, Deli Zhao, Zheng-Jun Zha