Learning to Recognize Chest-Xray Images Faster and More Efficiently Based on Multi-Kernel Depthwise Convolution. - Mengjie Hu; Hezheng Lin; Zimeng Fan 003; Wenjie Gao; Lu Yang 006; Chun Liu 004; Qing Song 006 (IEEE Access, 2020)

CAT: Cross Attention in Vision Transformer. - Hezheng Lin; Xing Cheng; Xiangyu Wu; Fan Yang 078; Dong Shen; Zhongyuan Wang; Qing Song 006; Wei Yuan (CoRR, 2021)

MlTr: Multi-label Classification with Transformer. - Xing Cheng; Hezheng Lin; Xiangyu Wu; Fan Yang; Dong Shen; Zhongyuan Wang; Nian Shi; Honglin Liu (CoRR, 2021)

Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss. - Xing Cheng; Hezheng Lin; Xiangyu Wu; Fan Yang; Dong Shen (CoRR, 2021)

MLTR: Multi-Label Classification with Transformer. - Xing Cheng; Hezheng Lin; Xiangyu Wu; Dong Shen; Fan Yang 094; Honglin Liu; Nian Shi (ICME, 2022)

CAT: Cross Attention in Vision Transformer. - Hezheng Lin; Xing Cheng; Xiangyu Wu; Dong Shen (ICME, 2022)

Generation-Guided Multi-Level Unified Network for Video Grounding. - Xing Cheng; Xiangyu Wu; Dong Shen; Hezheng Lin; Fan Yang (CoRR, 2023)

A continuation method for image registration based on dynamic adaptive kernel. - Yuandong Ma; Boyuan Wang; Hezheng Lin; Chun Liu 004; Mengjie Hu; Qing Song 006 (Neural Networks, 2023)

Fast and robust for texture-less feature registration via adaptive heterogeneous kernels. - Yuandong Ma; Qing Song 006; Hezheng Lin; Chun Liu 004; Mengjie Hu; Xiaotong Zhu (Knowl. Based Syst., 2023)

Dreaming User Multimodal Representation Guided by The Platonic Representation Hypothesis for Micro-Video Recommendation. - Chengzhi Lin; Hezheng Lin; Shuchang Liu 006; Cangguang Ruan; Lingjing Xu; Dezhao Yang; Chuyuan Wang; Yongqi Liu (CoRR, 2024)

QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou. - Xinchen Luo; Jiangxia Cao; Tianyu Sun; Jinkai Yu; Rui Huang; Wei Yuan; Hezheng Lin; Yichen Zheng; Shiyao Wang 001; Qigen Hu; Changqing Qiu; Jiaqi Zhang; et al. (CoRR, 2024)

Efficient networks for textureless feature registration via free receptive field. - Yuandong Ma; Meng Yu; Hezheng Lin; Chun Liu 004; Mengjie Hu; Qing Song 006 (Inf. Fusion, 2024)

Efficient analysis of deep neural networks for vision via biologically-inspired receptive field angles: An in-depth survey. - Yuandong Ma; Meng Yu; Hezheng Lin; Chun Liu 004; Mengjie Hu; Qing Song 006 (Inf. Fusion, 2024)

OneRec Technical Report. - Guorui Zhou; Jiaxin Deng; Jinghao Zhang; Kuo Cai; Lejian Ren; Qiang Luo; Qianqian Wang; Qigen Hu; Rui Huang; Shiyao Wang 001; Weifeng Ding; Wuchao Li; et al. (CoRR, 2025)