Yu, Runpeng

17 publications

ICCV 2025 Auto-Controlled Image Perception in MLLMs via Visual Perception Tokens Runpeng Yu, Xinyin Ma, Xinchao Wang

CVPR 2025 Diffusion Model Is Effectively Its Own Teacher Xinyin Ma, Runpeng Yu, Songhua Liu, Gongfan Fang, Xinchao Wang

ICLR 2025 HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

ICLR 2025 Neural Phylogeny: Fine-Tuning Relationship Detection Among Neural Networks Runpeng Yu, Xinchao Wang

AAAI 2025 Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann

ICCV 2025 Towards Performance Consistency in Multi-Level Model Collaboration Qi Li, Runpeng Yu, Xinchao Wang

NeurIPS 2025 Vid-SME: Membership Inference Attacks Against Large Video Understanding Models Qi Li, Runpeng Yu, Xinchao Wang

NeurIPS 2025 dKV-Cache: The Cache for Diffusion Language Models Xinyin Ma, Runpeng Yu, Gongfan Fang, Xinchao Wang

ECCV 2024 Attention Prompting on Image for Large Vision-Language Models Runpeng Yu, Weihao Yu, Xinchao Wang

ECCV 2024 Encapsulating Knowledge in One Prompt Qi Li, Runpeng Yu, Xinchao Wang

CVPR 2024 Neural Lineage Runpeng Yu, Xinchao Wang

NeurIPS 2024 Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

CVPR 2023 Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang

NeurIPS 2023 Generator Born from Classifier Runpeng Yu, Xinchao Wang

CVPR 2023 Slimmable Dataset Condensation Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang

CVPR 2022 OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu

AAAI 2022 Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He