| 2026 | AAAI | FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training. | Fuhan Cai, Yong Guo, Jie Li, Wenbo Li, Jian Chen, Xiangzhong Fang |
| 2026 | AAAI | QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution. | Bowen Chai, Zheng Chen, Libo Zhu, Wenbo Li, Yong Guo, Yulun Zhang |
| 2026 | AAAI | SODiff：Semantic-Oriented Diffusion Model for JPEG Compression Artifacts Removal. | Tingyu Yang, Jue Gong, Jinpei Guo, Wenbo Li, Yong Guo, Yulun Zhang |
| 2026 | MMM | Robust Ensemble of GNNs with Adaptive Graph Structure Learning. | Ruichao Ren, Yiqi Wang, Jiaxin Zhang, Wen Yin, Yong Guo, Xiaoling Li |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | CVPR | Temporal Action Detection Model Compression by Progressive Block Drop. | Xiaoyong Chen, Yong Guo, Jiaming Liang, Sitong Zhuang, Runhao Zeng, Xiping Hu |
| 2025 | CVPR | Segment Any-Quality Images with Generative Latent Space Enhancement. | Guangqian Guo, Yong Guo, Xuehui Yu, Wenbo Li, Yaoxing Wang, Shan Gao |
| 2025 | CVPR | MambaIRv2: Attentive State Space Restoration. | Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li |
| 2025 | CVPR | 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 |
| 2025 | HPCC | Heterogeneity-Aware Two-Tier GPU Resource Scheduling for Machine Learning Tasks. | Xilong Gu, Yong Guo, Yan Ding, Bao Li, Jianfeng Zhang, Chunbo Jia, Chenlin Huang |
| 2025 | HPCC | Efficient TEE-Based DNN Inference on Edge Devices: A PyTorch-Compatible Design. | Yuanhang Yu, Yong Guo, Yongpeng Liu, Yipin Sun, Yan Ding, Zihao Guan, Wei Wang |
| 2025 | ICA3PP | HETER-GSD: Accelerating Heterogeneous Edge GNN Inference. | Heng Mao, Yong Guo, Yi Ren, Yiqi Wang, Bao Li, Jianfeng Zhang, Xiaochuan Wang |
| 2025 | ICCV | Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal. | Jinpei Guo, Zheng Chen, Wenbo Li, Yong Guo, Yulun Zhang |
| 2025 | ICCV | 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 |
| 2025 | ICLR | Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher. | Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen |
| 2025 | ICML | 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 |
| 2025 | ICML | One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation. | Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang |
| 2025 | MICCAI | PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT. | Yuxuan Yang, Chen Zhong, Xinyue Zhang, Ruohan Ma, Gang Li, Yong Guo, Jupeng Li |
| 2024 | CVPR | CoDe: An Explicit Content Decoupling Framework for Image Restoration. | Enxuan Gu, Hongwei Ge, Yong Guo |
| 2024 | CVPR | Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions. | Runhao Zeng, Xiaoyong Chen, Jiaming Liang, Huisi Wu, Guangzhong Cao, Yong Guo |
| 2024 | ICWS | Dimac: Dynamic Integrity Measurement Architecture for Containers with ARM TrustZone. | Liantao Song, Yan Ding, Yong Guo, Bao Li, Bin Zhou |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions. | Yong Guo, David Stutz, Bernt Schiele |
| 2023 | ICCV | Robustifying Token Attention for Vision Transformers. | Yong Guo, David Stutz, Bernt Schiele |
| 2023 | ICCV | Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images. | Bingna Xu, Yong Guo, Luoqian Jiang, Mianjie Yu, Jian Chen |
| 2022 | ECCV | Improving Robustness by Enhancing Weak Subnets. | Yong Guo, David Stutz, Bernt Schiele |
| 2022 | ICICS | TZ-IMA: Supporting Integrity Measurement for Applications with ARM TrustZone. | Liantao Song, Yan Ding, Pan Dong, Yong Guo, Chuang Wang |
| 2021 | CVPR | Contrastive Neural Architecture Search With Neural Architecture Comparators. | Yaofo Chen, Yong Guo, Qi Chen, Minli Li, Wei Zeng, Yaowei Wang, Mingkui Tan |
| 2021 | ICML | AdaXpert: Adapting Neural Architecture for Growing Data. | Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan |
| 2020 | CVPR | 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 |
| 2020 | ICML | 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 |
| 2018 | AAAI | Double Forward Propagation for Memorized Batch Normalization. | Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan |
| 2018 | APSEC | NotOnlyLog: Mining Patch-Log Associations from Software Evolution History to Enhance Failure Diagnosis Capability. | Shuqi Chi, Shanshan Li, Yong Guo, Wei Dong, Zhouyang Jia, Haochen He, Qing Liao |
| 2018 | FUSION | MIMO Through-Wall-Radar Spotlight Imaging Based on Arithmetic Image Fusion. | Yong Jia, Chenghua Cui, Chao Yan, Xiaoling Zhong, Yong Guo, Guohao Chen |
| 2018 | ICML | Adversarial Learning with Local Coordinate Coding. | Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan |
| 2018 | MICCAI | Multipath Densely Connected Convolutional Neural Network for Brain Tumor Segmentation. | Cong Liu, Weixin Si, Yinling Qian, Xiangyun Liao, Qiong Wang, Yong Guo, Pheng-Ann Heng |
| 2017 | SEKE | Automatic Type Inference for Proactive Misconfiguration Prevention. | Xiangyang Xu, Shanshan Li, Yong Guo, Wei Dong, Wang Li, Xiangke Liao |
| 2016 | CCGRID | Design and Experimental Evaluation of Distributed Heterogeneous Graph-Processing Systems. | Yong Guo, Ana Lucia Varbanescu, Dick H. J. Epema, Alexandru Iosup |
| 2015 | CCGRID | An Empirical Performance Evaluation of GPU-Enabled Graph-Processing Systems. | Yong Guo, Ana Lucia Varbanescu, Alexandru Iosup, Dick H. J. Epema |
| 2013 | ICASSP | Occlusion handling frame rate up-conversion. | Yong Guo, Zhiyong Gao, Li Chen, Xiaoyun Zhang |
| 2013 | ISCAS | Effective early termination using adaptive search order for frame rate up-conversion. | Yong Guo, Zhiyong Gao, Li Chen, Xiaoyun Zhang |