Negative Margin Matters: Understanding Margin in Few-Shot Classification. - Bin Liu 035; Yue Cao 001; Yutong Lin; Qi Li; Zheng Zhang 022; Mingsheng Long; Han Hu 001 (ECCV (4), 2020)

Parametric Instance Classification for Unsupervised Visual Feature learning. - Yue Cao 001; Zhenda Xie; Bin Liu 035; Yutong Lin; Zheng Zhang 022; Han Hu 001 (NeurIPS, 2020)

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. - Zhenda Xie; Yutong Lin; Zheng Zhang 022; Yue Cao 001; Stephen Lin 001; Han Hu 001 (CVPR, 2021)

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. - Ze Liu; Yutong Lin; Yue Cao 001; Han Hu 001; Yixuan Wei; Zheng Zhang 022; Stephen Lin 001; Baining Guo (ICCV, 2021)

Leveraging Batch Normalization for Vision Transformers. - Zhuliang Yao; Yue Cao 001; Yutong Lin; Ze Liu; Zheng Zhang 022; Han Hu 001 (ICCVW, 2021)

Bootstrap Your Object Detector via Mixed Training. - Mengde Xu; Zheng Zhang 022; Fangyun Wei; Yutong Lin; Yue Cao 001; Stephen Lin 001; Han Hu 001; Xiang Bai (NeurIPS, 2021)

Self-Supervised Learning with Swin Transformers. - Zhenda Xie; Yutong Lin; Zhuliang Yao; Zheng Zhang 022; Qi Dai 001; Yue Cao 001; Han Hu 001 (CoRR, 2021)

A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model. - Mengde Xu; Zheng Zhang 022; Fangyun Wei; Yutong Lin; Yue Cao 001; Han Hu 001; Xiang Bai (CoRR, 2021)

Swin Transformer V2: Scaling Up Capacity and Resolution. - Ze Liu; Han Hu 001; Yutong Lin; Zhuliang Yao; Zhenda Xie; Yixuan Wei; Jia Ning; Yue Cao 001; Zheng Zhang 022; Li Dong 004; Furu Wei; Baining Guo (CVPR, 2022)

SimMIM: a Simple Framework for Masked Image Modeling. - Zhenda Xie; Zheng Zhang 022; Yue Cao 001; Yutong Lin; Jianmin Bao; Zhuliang Yao; Qi Dai 001; Han Hu 001 (CVPR, 2022)

A Simple Approach and Benchmark for 21, 000-Category Object Detection. - Yutong Lin; Chen Li; Yue Cao 001; Zheng Zhang 022; Jianfeng Wang; Lijuan Wang; Zicheng Liu 001; Han Hu 001 (ECCV (11), 2022)

A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model. - Mengde Xu; Zheng Zhang 022; Fangyun Wei; Yutong Lin; Yue Cao 001; Han Hu 001; Xiang Bai (ECCV (29), 2022)

SER-UNet: A Network for Gastrointestinal Image Segmentation. - Hongwei Niu; Yutong Lin (ICCIR, 2022)

Could Giant Pre-trained Image Models Extract Universal Representations? - Yutong Lin; Ze Liu; Zheng Zhang 022; Han Hu 001; Nanning Zheng 001; Stephen Lin 001; Yue Cao 001 (NeurIPS, 2022)

Classification of Current Density Vector Maps for Heart Failures Using a Transfer Convolutional Neural Network. - Zhenghui Hu; Yutong Lin; Kaikai Ye; Qiang Lin (IEEE Access, 2022)

Could Giant Pretrained Image Models Extract Universal Representations? - Yutong Lin; Ze Liu; Zheng Zhang 022; Han Hu 001; Nanning Zheng 001; Stephen Lin 001; Yue Cao 001 (CoRR, 2022)

On Data Scaling in Masked Image Modeling. - Zhenda Xie; Zheng Zhang 022; Yue Cao 001; Yutong Lin; Yixuan Wei; Qi Dai 001; Han Hu 001 (CVPR, 2023)

DETR Does Not Need Multi-Scale or Locality Design. - Yutong Lin; Yuhui Yuan; Zheng Zhang 022; Chen Li; Nanning Zheng 001; Han Hu 001 (ICCV, 2023)

DETR Doesn't Need Multi-Scale or Locality Design. - Yutong Lin; Yuhui Yuan; Zheng Zhang 022; Chen Li; Nanning Zheng 001; Han Hu 001 (CoRR, 2023)

Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator. - Yutong Lin; Jingqi Xiong; Wenlian Zhu; Rui Sun (Sensors, 2023)

AugDETR: Improving Multi-scale Learning for Detection Transformer. - Jinpeng Dong; Yutong Lin; Chen Li; Sanping Zhou; Nanning Zheng 001 (ECCV (24), 2024)

V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection. - Yichao Shen 001; Zigang Geng; Yuhui Yuan; Yutong Lin; Ze Liu; Chunyu Wang 001; Han Hu 001; Nanning Zheng 001; Baining Guo (ICLR, 2024)

Efficient and Economic Large Language Model Inference with Attention Offloading. - Shaoyuan Chen; Yutong Lin; Mingxing Zhang; Yongwei Wu 001 (CoRR, 2024)

Smart Sensing and Communication Co-Design for IIoT-Based Control Systems. - Ruijie Fu; Jintao Chen; Yutong Lin; An Zou; Cailian Chen; Xinping Guan; Yehan Ma (IEEE Internet Things J., 2024)

A Two-Stage LLM System for Enhanced Regulatory Information Retrieval and Answer Generation. - Fengzhao Sun; Jun Yu 001; Jiaming Hou; Yutong Lin; Tianyu Liu (COLING Workshops, 2025)

MAGI-1: Autoregressive Video Generation at Scale. - Hansi Teng; Hongyu Jia; Lei Sun; Lingzhi Li 017; Maolin Li; Mingqiu Tang; Shuai Han; Tianning Zhang; W. Q. Zhang; Weifeng Luo; Xiaoyang Kang 004; Yuchen Sun; et al. (CoRR, 2025)