$\star$ Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution, [CVPR 2020]
Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan
$\star$ MambaIRv2: Attentive State Space Restoration, [CVPR 2025]
Hang Guo*, Yong Guo*, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li
$\star$ NAT: Neural Architecture Transformer for Accurate and Compact Architectures, [NeurIPS 2019]
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang
$\star$ Towards Lightweight Super-Resolution with Dual Regression Learning, [TPAMI 2024]
Yong Guo, Mingkui Tan, Zeshuai Deng, Jingdong Wang, Qi Chen, Jiezhang Cao, Yanwu Xu, Jian Chen
$\star$ Towards Accurate and Compact Architectures via Neural Architecture Transformer, [TPAMI 2021]
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang
$\star$ Improving Generative Adversarial Networks with Local Coordinate Coding [TPAMI 2020]
Jiezhang Cao*, Yong Guo*, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
$\star$ Discrimination-aware Network Pruning for Deep Model Compression, [TPAMI 2021]
Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jinhui Zhu, Mingkui Tan
$\star$ Robustifying Token Attention for Vision Transformers, [ICCV 2023]
Yong Guo, David Stutz, Bernt Schiele
$\star$ Breaking the Curse of Space Explosion: Towards Effcient NAS with Curriculum Search, [ICML 2020]
Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
$\star$ Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis, [TMM 2019]
Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan
$\star$ Contrastive Neural Architecture Search with Neural Architecture Comparators, [CVPR 2021]
Yaofo Chen*, Yong Guo*, Qi Chen, Minli Li, Wei Zeng, Yaowei Wang, Mingkui Tan
$\star$ Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation, [TIP 2024]
Haolin Pan*, Yong Guo*, Mianjie Yu, Jian Chen
$\star$ Discrimination-aware Channel Pruning for Deep Neural Networks, [NeurIPS 2018]
Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jinhui Zhu
$\star$ DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model, [IEEE RA-L 2025]
Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee K Wong, Zhenguo Li, Hengshuang Zhao
Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models, [ICLR 2026]
Tianao Zhang, Zhiteng Li, Xianglong Yan, Haotong Qin, Yong Guo, Yulun Zhang
Grounding-IQA: Multimodal language grounding model for image quality assessment, [ICLR 2026]
Zheng Chen, Xun Zhang, Wenbo Li, Renjing Pei, Fenglong Song, Xiongkuo Min, Xiaohong Liu, Xin Yuan, Yong Guo, Yulun Zhang
Boosting Segment Anything Model to Generalize Visually Non-Salient Scenarios, [TIP 2026]
Guangqian Guo, Pengfei Chen, Yong Guo, Huafeng Chen, Boqiang Zhang, Shan Gao
Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution, [TIP 2026]
Junbo Qiao, Jincheng Liao, Wei Li, Yulun Zhang, Yong Guo, Yi Wen, Zhangxizi Qiu, Jiao Xie, Jie Hu, Shaohui Lin
FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training, [AAAI 2026]
Fuhan Cai, Yong Guo, Jie Li, Wenbo Li, Jian Chen, Xiangzhong Fang
SODiff: Semantic-Oriented Diffusion Model for JPEG Compression Artifacts Removal, [AAAI 2026]
Tingyu Yang, Jue Gong, Jinpei Guo, Wenbo Li, Yong Guo, Yulun Zhang
QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution, [AAAI 2026]
Bowen Chai, Zheng Chen, Libo Zhu, Wenbo Li, Yong Guo, Yulun Zhang
Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator, [NeurIPS 2025]
Jianze Li, Jiezhang Cao, Zichen Zou, Xiongfei Su, Xin Yuan, Yulun Zhang, Yong Guo, Xiaokang Yang
DOVE: Efficient One-step Diffusion Model for Real-world Video Super-Resolution, [NeurIPS 2025]
Zheng Chen, Zichen Zou, Kewei Zhang, Xiongfei Su, Xin Yuan, Yong Guo, Yulun Zhang
PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement, [NeurIPS 2025]
ZhanFeng Feng, Long Peng, Xin Di, Yong Guo, Wenbo Li, Yulun Zhang, Renjing Pei, Yang Wang, Yang Cao, Zheng-Jun Zha
OSCAR: One-step Diffusion Codec across Multiple Bit-rates, [NeurIPS 2025]
Jinpei Guo, Yifei Ji, Zheng Chen, Kai Liu, Min Liu, Wang Rao, Wenbo Li, Yong Guo, Yulun Zhang
PocketSR: The Super-Resolution Expert in Your Pocket Mobiles, [NeurIPS 2025]
Haoze Sun, Linfeng Jiang, Fan Li, Renjing Pei, Zhixin Wang, Yong Guo, Jiaqi Xu, Haoyu Chen, Jin Han, Fenglong Song, Yujiu Yang, Wenbo Li
Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal, [ICCV 2025]
Jinpei Guo, Zheng Chen, Wenbo Li, Yong Guo, Yulun Zhang
Turbo2k: Towards Ultra-efficient and High-quality 2K Video Synthesis, [ICCV 2025]
Jingjing Ren, Wenbo Li, Zhongdao Wang, Haoze Sun, Bangzhen Liu, Haoyu Chen, Jiaqi Xu, Aoxue Li, Shifeng Zhang, Bin Shao, Yong Guo, Lei Zhu
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation, [ICML 2025]
Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution, [ICML 2025]
Kai Liu, Kaicheng Yang, Zheng Chen, Zhiteng Li, Yong Guo, Wenbo Li, Linghe Kong, Yulun Zhang
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution, [CVPR 2025]
Libo Zhu, Jianze Li, Haotong Qin, Wenbo Li, Yulun Zhang, Yong Guo, Xiaokang Yang
Segment Any-quality Images with Generative Latent Space Enhancement, [CVPR 2025]
Guangqian Guo*, Yong Guo*, Xuehui Yu, Wenbo Li, Yaoxing Wang, Shan Gao
Temporal Action Detection Model Compression by Progressive Block Drop, [CVPR 2025]
Xiaoyong Chen, Yong Guo, Jiaming Liang, Sitong Zhuang, Runhao Zeng, Xiping Hu
Effective Diffusion Transformer Architecture for Image Super-Resolution, [AAAI 2025]
Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu
Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution, [AAAI 2025]
Luoqian Jiang, Yong Guo, Bingna Xu, Haolin Pan, Jiezhang Cao, Wenbo Li, Jian Chen
Binarized Diffusion Model for Image Super-Resolution, [NeurIPS 2024]
Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution, [NeurIPS 2024]
Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong, Guihai Chen, Yulun Zhang
UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks, [NeurIPS 2024]
Jingjing Ren, Wenbo Li, Haoyu Chen, Renjing Pei, Bin Shao, Yong Guo, Long Peng, Fenglong Song, Lei Zhu
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions, [CVPR 2024]
Runhao Zeng, Xiaoyong Chen, Jiaming Liang, Huisi Wu, Guangzhong Cao, Yong Guo$^\dagger$
Code: An Explicit Content Decoupling Framework for Image Restoration, [CVPR 2024]
Enxuan Gu, Hongwei Ge, Yong Guo
Automated dominative subspace mining for efficient neural architecture search, [TCSVT 2024]
Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, James Tin-Yau Kwok, Mingkui Tan
Dynamic Extension Nets for Few-shot Semantic Segmentation, [ACMM 2020]
Lizhao Liu*, Junyi Cao*, Minqian Liu*, Yong Guo*, Qi Chen, Mingkui Tan
Hierarchical Neural Architecture Search for Single Image Super-Resolution, [IEEE SPL 2020]
Yong Guo, Yongsheng Luo, Zhenhao He, Jin Huang, Jian Chen
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling, [Neural Networks 2023]
Qinyi Deng*, Yong Guo*, Zhibang Yang, Haolin Pan, Jian Chen
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization, [Neural Networks 2023]
Haolin Pan, Yong Guo, Qinyi Deng, Haomin Yang, Jian Chen, Yiqun Chen
Improving Robustness by Enhancing Weak Subnets, [ECCV 2022]
Yong Guo, David Stutz, Bernt Schiele
Adversarial Learning with Local Coordinate Coding, [ICML 2018]
Jiezhang Cao*, Yong Guo*, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
Double Forward Propagation for Memorized Batch Normalization, [AAAI 2018]
Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan
Deep View Synthesis via Self-Consistent Generative Network, [TMM 2021]
Zhuoman Liu, Wei Jia, Ming Yang, Peiyao Luo, Yong Guo, Mingkui Tan
AdaXpert: Adapting Neural Architecture for Growing Data, [ICML 2021]
Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
Content-Aware Convolutional Neural Networks, [Neural Networks 2021]
Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets, [CVPR 2023 Workshop]
Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan