Runpeng Yu

29 papers A* 9B 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors.
CoRR
Lingfeng Ren, Weihao Yu, Runpeng Yu, Xinchao Wang
2026 J jnl
Refinement Provenance Inference: Detecting LLM-Refined Training Prompts from Model Behavior.
CoRR
Bo Yin, Qi Li, Runpeng Yu, Xinchao Wang
2025 — conf
CoT-Valve: Length-Compressible Chain-of-Thought Tuning.
ACL (1)
Xinyin Ma, Guangnian Wan, Runpeng Yu, Gongfan Fang, Xinchao Wang
2025 J jnl
CoT-Valve: Length-Compressible Chain-of-Thought Tuning.
CoRR
Xinyin Ma, Guangnian Wan, Runpeng Yu, Gongfan Fang, Xinchao Wang
2025 A* conf
Diffusion Model is Effectively Its Own Teacher.
CVPR
Xinyin Ma, Runpeng Yu, Songhua Liu, Gongfan Fang, Xinchao Wang
2025 J jnl
Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding.
CoRR
Runpeng Yu, Xinyin Ma, Xinchao Wang
2025 J jnl
Discrete Diffusion in Large Language and Multimodal Models: A Survey.
CoRR
Runpeng Yu, Qi Li, Xinchao Wang
2025 J jnl
Every Step Counts: Decoding Trajectories as Authorship Fingerprints of dLLMs.
CoRR
Qi Li, Runpeng Yu, Haiquan Lu, Xinchao Wang
2025 A* conf
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters.
ICLR
Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
2025 J jnl
Introducing Visual Perception Token into Multimodal Large Language Model.
CoRR
Runpeng Yu, Xinyin Ma, Xinchao Wang
2025 J jnl
Multi-Level Collaboration in Model Merging.
CoRR
Qi Li, Runpeng Yu, Xinchao Wang
2025 A* conf
Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks.
ICLR
Runpeng Yu, Xinchao Wang
2025 A* conf
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications.
AAAI
Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann
2025 J jnl
Vid-SME: Membership Inference Attacks against Large Video Understanding Models.
CoRR
Qi Li, Runpeng Yu, Xinchao Wang
2025 J jnl
dKV-Cache: The Cache for Diffusion Language Models.
CoRR
Xinyin Ma, Runpeng Yu, Gongfan Fang, Xinchao Wang
2024 J jnl
Encapsulating Knowledge in One Prompt.
CoRR
Qi Li, Runpeng Yu, Xinchao Wang
2024 J jnl
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters.
CoRR
Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
2024 A* conf
Neural Lineage.
CVPR
Runpeng Yu, Xinchao Wang
2024 J jnl
Neural Lineage.
CoRR
Runpeng Yu, Xinchao Wang
2024 A* conf
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective.
NeurIPS
Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
2024 J jnl
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective.
CoRR
Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
2024 J jnl
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification.
CoRR
Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann
2023 A* conf
Distribution Shift Inversion for Out-of-Distribution Prediction.
CVPR
Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang
2023 J jnl
Distribution Shift Inversion for Out-of-Distribution Prediction.
CoRR
Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang
2023 A* conf
Generator Born from Classifier.
NeurIPS
Runpeng Yu, Xinchao Wang
2023 J jnl
Generator Born from Classifier.
CoRR
Runpeng Yu, Xinchao Wang
2023 B conf
Robust Deep Joint Source Channel Coding with Time-Varying Noise.
GLOBECOM
Weida Wang, Xinchun Yu, Xinyi Tong, Runpeng Yu, Xiao-Ping Zhang, Shao-Lun Huang
2023 A* conf
Slimmable Dataset Condensation.
CVPR
Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang
2021 J jnl
Vertical Retargeting for Stereoscopic Images via Stereo Seam Carving.
ACM Trans. Multim. Comput. Commun. Appl.
Kun Zeng, Jiangchuan Hu, Yongyi Gong, Kanoksak Wattanachote, Runpeng Yu, Xiaonan Luo