NAS-Count: Counting-by-Density with Neural Architecture Search. - Yutao Hu 002; Xiaolong Jiang; Xuhui Liu; Baochang Zhang 001; Jungong Han; Xianbin Cao 001; David S. Doermann (ECCV (22), 2020)

Few-Shot Semantic Segmentation with Democratic Attention Networks. - Haochen Wang; Xudong Zhang; Yutao Hu 002; Yandan Yang; Xianbin Cao 001; Xiantong Zhen (ECCV (13), 2020)

The Fusion of Neural Architecture Search and Destruction and Construction Learning - First Classified. - Chao Fang; Yutao Hu 002; Baochang Zhang 001; David S. Doermann (ICPR Workshops (8), 2020)

Improving Backbones Performance by Complex Architectures. - Jinxin Shao; Yutao Hu 002; Zhen Liu; Teli Ma; Baochang Zhang 001 (PRCV (2), 2020)

Adaptive Anomaly Detection Network for Unseen Scene Without Fine-Tuning. - Yutao Hu 002; Xin Huang; Xiaoyan Luo (PRCV (2), 2021)

Long-range Attention Network for Multi-View Stereo. - Xudong Zhang; Yutao Hu 002; Haochen Wang; Xianbin Cao 001; Baochang Zhang 001 (WACV, 2021)

Attentional Kernel Encoding Networks for Fine-Grained Visual Categorization. - Yutao Hu 002; Yandan Yang; Jun Zhang 007; Xianbin Cao 001; Xiantong Zhen (IEEE Trans. Circuits Syst. Video Technol., 2021)

Alignment Enhancement Network for Fine-grained Visual Categorization. - Yutao Hu 002; Xuhui Liu; Baochang Zhang 001; Jungong Han; Xianbin Cao 001 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Attentive encoder-decoder networks for crowd counting. - Xuhui Liu; Yutao Hu 002; Baochang Zhang 001; Xiantong Zhen; Xiaoyan Luo; Xianbin Cao 001 (Neurocomputing, 2022)

Variational Self-Distillation for Remote Sensing Scene Classification. - Yutao Hu 002; Xin Huang; Xiaoyan Luo; Jungong Han; Xianbin Cao 001; Jun Zhang 007 (IEEE Trans. Geosci. Remote. Sens., 2022)

Beyond One-to-One: Rethinking the Referring Image Segmentation. - Yutao Hu 002; Qixiong Wang; Wenqi Shao; Enze Xie; Zhenguo Li; Jungong Han; Ping Luo 002 (ICCV, 2023)

Tiny LVLM-eHub: Early Multimodal Experiments with Bard. - Wenqi Shao; Yutao Hu 002; Peng Gao 007; Meng Lei; Kaipeng Zhang; Fanqing Meng; Peng Xu; Siyuan Huang 004; Hongsheng Li 001; Yu Qiao 001; Ping Luo 002 (CoRR, 2023)

Boosting Variational Inference With Margin Learning for Few-Shot Scene-Adaptive Anomaly Detection. - Xin Huang; Yutao Hu 002; Xiaoyan Luo; Jungong Han; Baochang Zhang 001; Xianbin Cao 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM. - Yutao Hu 002; Tianbin Li; Quanfeng Lu; Wenqi Shao; Junjun He; Yu Qiao 001; Ping Luo 002 (CVPR, 2024)

Learning Foreground Information Bottleneck for few-shot semantic segmentation. - Yutao Hu 002; Xin Huang; Xiaoyan Luo; Jungong Han; Xianbin Cao 001; Jun Zhang 007 (Pattern Recognit., 2024)

Diffusion Self-Distillation for Remote Sensing Scene Classification. - Yutao Hu 002; Lei Zhang 001; Xiaoyan Luo; Xianbin Cao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation. - Siyuan Huang 004; Liliang Chen; Pengfei Zhou; Shengcong Chen; Zhengkai Jiang 001; Yutao Hu 002; Peng Gao 007; Hongsheng Li 001; Maoqing Yao; Guanghui Ren (CoRR, 2025)

Car-1000: A New Large Scale Fine-Grained Visual Categorization Dataset. - Yutao Hu 002; Sen Li; Jincheng Yan; Wenqi Shao; Xiaoyan Luo (CoRR, 2025)

Hierarchical Self-Distilled Feature Learning for Fine-Grained Visual Categorization. - Yutao Hu 002; Xiaolong Jiang; Xuhui Liu; Xiaoyan Luo; Yao Hu 002; Xianbin Cao 001; Baochang Zhang 001; Jun Zhang 007 (IEEE Trans. Neural Networks Learn. Syst., 2025)

TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models. - Wenqi Shao; Meng Lei; Yutao Hu 002; Peng Gao 007; Peng Xu; Kaipeng Zhang; Fanqing Meng; Siyuan Huang 004; Hongsheng Li 001; Yu Qiao 001; Ping Luo 002 (IEEE Trans. Big Data, 2025)