Guo, Yong

37 publications

ICLR 2026 Grounding-IQA: Grounding Multimodal Language Model for Image Quality Assessment Zheng Chen, Xun Zhang, Wenbo Li, Renjing Pei, Fenglong Song, Xiongkuo Min, Xiaohong Liu, Xin Yuan, Yong Guo, Yulun Zhang

MIDL 2026 Lesion-Aware Reconstruction with Principal Network: Enhancing Pseudo-Label Reliability in Semi-Supervised Clinical Lesion Detection Shiwan Di, Jupeng Li, Yuxuan Yang, Qian Jin, Guorui An, Jingwen Yang, Yue Wang, Yong Guo, Xinyue Zhang, Ruohan Ma, Gang Li

ICLR 2026 Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models Tianao Zhang, Zhiteng Li, Xianglong Yan, Haotong Qin, Yong Guo, Yulun Zhang

ICML 2025 BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution Kai Liu, Kaicheng Yang, Zheng Chen, Zhiteng Li, Yong Guo, Wenbo Li, Linghe Kong, Yulun Zhang

ICCV 2025 Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal Jinpei Guo, Zheng Chen, Wenbo Li, Yong Guo, Yulun Zhang

NeurIPS 2025 DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution Zheng Chen, Zichen Zou, Kewei Zhang, Xiongfei Su, Xin Yuan, Yong Guo, Yulun Zhang

AAAI 2025 Effective Diffusion Transformer Architecture for Image Super-Resolution Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu

ICLR 2025 Gap Preserving Distillation by Building Bidirectional Mappings with a Dynamic Teacher Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen

CVPR 2025 MambaIRv2: Attentive State Space Restoration Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li

NeurIPS 2025 OSCAR: One-Step Diffusion Codec Across Multiple Bit-Rates Jinpei Guo, Yifei Ji, Zheng Chen, Kai Liu, Min Liu, Wang Rao, Wenbo Li, Yong Guo, Yulun Zhang

ICML 2025 One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang

NeurIPS 2025 PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement ZhanFeng Feng, Long Peng, Xin Di, Yong Guo, Wenbo Li, Yulun Zhang, Renjing Pei, Yang Wang, Yang Cao, Zheng-Jun Zha

CVPR 2025 PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion Based Image Super-Resolution Libo Zhu, Jianze Li, Haotong Qin, Wenbo Li, Yulun Zhang, Yong Guo, Xiaokang Yang

NeurIPS 2025 PocketSR: The Super-Resolution Expert in Your Pocket Mobiles Haoze Sun, Linfeng Jiang, Fan Li, Renjing Pei, Zhixin Wang, Yong Guo, Jiaqi Xu, Haoyu Chen, Jin Han, Fenglong Song, Yujiu Yang, Wenbo Li

AAAI 2025 Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution Luoqian Jiang, Yong Guo, Bingna Xu, Haolin Pan, Jiezhang Cao, Wenbo Li, Jian Chen

CVPR 2025 Segment Any-Quality Images with Generative Latent Space Enhancement Guangqian Guo, Yong Guo, Xuehui Yu, Wenbo Li, Yaoxing Wang, Shan Gao

CVPR 2025 Temporal Action Detection Model Compression by Progressive Block Drop Xiaoyong Chen, Yong Guo, Jiaming Liang, Sitong Zhuang, Runhao Zeng, Xiping Hu

ICCV 2025 Turbo2K: Towards Ultra-Efficient and High-Quality 2k Video Synthesis Jingjing Ren, Wenbo Li, Zhongdao Wang, Haoze Sun, Bangzhen Liu, Haoyu Chen, Jiaqi Xu, Aoxue Li, Shifeng Zhang, Bin Shao, Yong Guo, Lei Zhu

NeurIPS 2025 Unleashing the Power of One-Step Diffusion Based Image Super-Resolution via a Large-Scale Diffusion Discriminator Jianze Li, Jiezhang Cao, Zichen Zou, Xiongfei Su, Xin Yuan, Yulun Zhang, Yong Guo, Xiaokang Yang

NeurIPS 2024 2DQuant: Low-Bit Post-Training Quantization for Image Super-Resolution Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong, Guihai Chen, Yulun Zhang

CVPR 2024 Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions Runhao Zeng, Xiaoyong Chen, Jiaming Liang, Huisi Wu, Guangzhong Cao, Yong Guo

NeurIPS 2024 Binarized Diffusion Model for Image Super-Resolution Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang

CVPR 2024 CoDe: An Explicit Content Decoupling Framework for Image Restoration Enxuan Gu, Hongwei Ge, Yong Guo

NeurIPS 2024 UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks Jingjing Ren, Wenbo Li, Haoyu Chen, Renjing Pei, Bin Shao, Yong Guo, Long Peng, Fenglong Song, Lei Zhu

ICCV 2023 Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images Bingna Xu, Yong Guo, Luoqian Jiang, Mianjie Yu, Jian Chen

CVPR 2023 Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions Yong Guo, David Stutz, Bernt Schiele

CVPRW 2023 Pareto-Aware Neural Architecture Generation for Diverse Computational Budgets Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan

ICCV 2023 Robustifying Token Attention for Vision Transformers Yong Guo, David Stutz, Bernt Schiele

ECCV 2022 Improving Robustness by Enhancing Weak Subnets Yong Guo, David Stutz, Bernt Schiele

ICML 2021 AdaXpert: Adapting Neural Architecture for Growing Data Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan

CVPR 2021 Contrastive Neural Architecture Search with Neural Architecture Comparators Yaofo Chen, Yong Guo, Qi Chen, Minli Li, Wei Zeng, Yaowei Wang, Mingkui Tan

ICML 2020 Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

CVPR 2020 Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan

NeurIPS 2019 NAT: Neural Architecture Transformer for Accurate and Compact Architectures Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang

ICML 2018 Adversarial Learning with Local Coordinate Coding Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan

NeurIPS 2018 Discrimination-Aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jinhui Zhu

AAAI 2018 Double Forward Propagation for Memorized Batch Normalization Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan