Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification. - Zhongdao Wang; Luming Tang; Xihui Liu; Zhuliang Yao; Shuai Yi; Jing Shao; Junjie Yan; Shengjin Wang; Hongsheng Li 001; Xiaogang Wang 001 (ICCV, 2017)

Balanced Sparsity for Efficient DNN Inference on GPU. - Zhuliang Yao; Shijie Cao; Wencong Xiao; Chen Zhang 001; Lanshun Nie (AAAI, 2019)

Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. - Shijie Cao; Chen Zhang 001; Zhuliang Yao; Wencong Xiao; Lanshun Nie; De-chen Zhan; Yunxin Liu 001; Ming Wu 007; Lintao Zhang (FPGA, 2019)

Disentangled Non-local Neural Networks. - Minghao Yin; Zhuliang Yao; Yue Cao 001; Xiu Li 001; Zheng Zhang 022; Stephen Lin 001; Han Hu 001 (ECCV (15), 2020)

Cross-Iteration Batch Normalization. - Zhuliang Yao; Yue Cao 001; Shuxin Zheng; Gao Huang 001; Stephen Lin 001 (CVPR, 2021)

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

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)

iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition. - Yixuan Wei; Yue Cao 001; Zheng Zhang 022; Zhuliang Yao; Zhenda Xie; Han Hu 001; Baining Guo (CoRR, 2022)

iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual Recognition. - Yixuan Wei; Yue Cao 001; Zheng Zhang 022; Houwen Peng; Zhuliang Yao; Zhenda Xie; Han Hu 001; Baining Guo (CVPR, 2023)

Fine-Grained Structured Sparse Computing for FPGA-Based AI Inference. - Chen Zhang 001; Shijie Cao; Guohao Dai; Chenbo Geng; Zhuliang Yao; Wencong Xiao; Yunxin Liu 001; Ming Wu 007; Lintao Zhang; Guangyu Sun 003; Zhigang Ji; Runsheng Wang; et al. (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)