The removal of ocular artifactsfrom EEG signals: An adaptive modeling technique for portable applications. - Yang Li 010; Bin Hu 001; Qinglin Zhao; Hong Peng 003; Yujun Shi; Yunpeng Li; Philip Moore 001 (BIBM, 2013)

Extraction of exposed carbonatite in karst desertification area using co-location decision tree. - Guoqing Zhou 001; Rongting Zhang; Yujun Shi; Chengjie Su; Yilong Liu; Hongbo Yan (IGARSS, 2014)

Second-Order Polynomial Equation-Based Block Adjustment for Orthorectification of DISP Imagery. - Guoqing Zhou 001; Tao Yue 004; Yujun Shi; Rongting Zhang; Jingjin Huang (Remote. Sens., 2016)

A New Perspective on the Operating Principle of Flux-Switching Permanent-Magnet Machines. - Yujun Shi; Linni Jian; Jin Wei; Ziyun Shao; Wenlong Li; C. C. Chan 001 (IEEE Trans. Ind. Electron., 2016)

Predictive Flux-linkage Control for Novel Dual-Permanent-Magnet-Excited Machines. - Qisheng Ye; Yujun Shi; Zhengxing Deng; Linni Jian (ICIA, 2018)

Learning Pixel-wise Labeling from the Internet without Human Interaction. - Yun Liu 011; Yujun Shi; JiaWang Bian; Le Zhang 001; Ming-Ming Cheng; Jiashi Feng (CoRR, 2018)

Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks. - Guangyong Chen; Pengfei Chen 003; Yujun Shi; Chang-Yu Hsieh; Benben Liao; Shengyu Zhang 002 (CoRR, 2019)

Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric. - Yujun Shi; Benben Liao; Guangyong Chen; Yun Liu 011; Ming-Ming Cheng; Jiashi Feng (CoRR, 2019)

Continual Learning via Bit-Level Information Preserving. - Yujun Shi; Li Yuan 007; Yunpeng Chen; Jiashi Feng (CVPR, 2021)

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. - Li Yuan 007; Yunpeng Chen; Tao Wang 053; Weihao Yu 001; Yujun Shi; Zihang Jiang; Francis E. H. Tay; Jiashi Feng; Shuicheng Yan (ICCV, 2021)

All Tokens Matter: Token Labeling for Training Better Vision Transformers. - Zihang Jiang; Qibin Hou; Li Yuan 007; Daquan Zhou; Yujun Shi; Xiaojie Jin; Anran Wang 001; Jiashi Feng (NeurIPS, 2021)

Quantitative Analysis of Back-EMF of a Dual-Permanent-Magnet-Excited Machine: Alert to Flux Density Harmonics Which Make a Negative Contribution to Back-EMF. - Yujun Shi; Junwen Zhong; Linni Jian (IEEE Access, 2021)

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. - Li Yuan 007; Yunpeng Chen; Tao Wang 053; Weihao Yu 001; Yujun Shi; Francis E. H. Tay; Jiashi Feng; Shuicheng Yan (CoRR, 2021)

Refiner: Refining Self-attention for Vision Transformers. - Daquan Zhou; Yujun Shi; Bingyi Kang; Weihao Yu 001; Zihang Jiang; Li Yuan 007; Xiaojie Jin; Qibin Hou; Jiashi Feng (CoRR, 2021)

Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. - Yujun Shi; Kuangqi Zhou; Jian Liang 001; Zihang Jiang; Jiashi Feng; Philip H. S. Torr; Song Bai 001; Vincent Y. F. Tan (CVPR, 2022)

Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation. - Yun Liu 011; Yu-Huan Wu; Peisong Wen; Yujun Shi; Yu Qiu; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A DRL Enhanced Caching Based on Age of Information for 6G Mobile Edge Computation. - Yuhan Liu; Chaowei Wang; Yujun Shi; Danhao Deng; Tengsen Ma; Weidong Wang 001 (BMSB, 2023)

Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning. - Zeyin Song; Yifan Zhao 002; Yujun Shi; Peixi Peng; Li Yuan 007; Yonghong Tian 001 (CVPR, 2023)

Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. - Yujun Shi; Jian Liang 001; Wenqing Zhang; Vincent Y. F. Tan; Song Bai 001 (ICLR, 2023)

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models. - Yuchao Gu; Xintao Wang 002; Jay Zhangjie Wu; Yujun Shi; Yunpeng Chen; Zihan Fan; Wuyou Xiao; Rui Zhao 001; Shuning Chang; Weijia Wu 001; Yixiao Ge; Ying Shan; et al. (NeurIPS, 2023)

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing. - Yujun Shi; Chuhui Xue; Jiachun Pan; Wenqing Zhang; Vincent Y. F. Tan; Song Bai 001 (CoRR, 2023)

DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing. - Yujun Shi; Chuhui Xue; Jun Hao Liew; Jiachun Pan; Hanshu Yan; Wenqing Zhang; Vincent Y. F. Tan; Song Bai 001 (CVPR, 2024)

ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation. - Shenghai Yuan; Jinfa Huang; Yongqi Xu; Yaoyang Liu; Shaofeng Zhang; Yujun Shi; Ruijie Zhu 003; Xinhua Cheng; Jiebo Luo 001; Li Yuan 007 (NeurIPS, 2024)

Envision3D: One Image to 3D with Anchor Views Interpolation. - Yatian Pang; Tanghui Jia; Yujun Shi; Zhenyu Tang 004; Junwu Zhang; Xinhua Cheng; Xing Zhou; Francis E. H. Tay; Li Yuan 007 (CoRR, 2024)

InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. - Yujun Shi; Jun Hao Liew; Hanshu Yan; Vincent Y. F. Tan; Jiashi Feng (CoRR, 2024)

Identity-Preserving Text-to-Video Generation by Frequency Decomposition. - Shenghai Yuan; Jinfa Huang; Xianyi He; Yunyuan Ge; Yujun Shi; Liuhan Chen; Jiebo Luo 001; Li Yuan 007 (CoRR, 2024)

Understanding and Mitigating Dimensional Collapse in Federated Learning. - Yujun Shi; Jian Liang 001; Wenqing Zhang; Chuhui Xue; Vincent Y. F. Tan; Song Bai 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Identity-Preserving Text-to-Video Generation by Frequency Decomposition. - Shenghai Yuan; Jinfa Huang; Xianyi He; Yunyang Ge; Yujun Shi; Liuhan Chen; Jiebo Luo 001; Li Yuan 007 (CVPR, 2025)

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. - Xu Ma; Peize Sun; Haoyu Ma; Hao Tang; Chih-Yao Ma; Jialiang Wang 001; Kunpeng Li; Xiaoliang Dai; Yujun Shi; Xuan Ju; Yushi Hu; Artsiom Sanakoyeu; et al. (CoRR, 2025)

MagicTime: Time-Lapse Video Generation Models as Metamorphic Simulators. - Shenghai Yuan; Jinfa Huang; Yujun Shi; Yongqi Xu; Ruijie Zhu 003; Bin Lin 014; Xinhua Cheng; Li Yuan 007; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)