Disentangled Representation Learning for 3D Face Shape. - Zi-Hang Jiang; Qianyi Wu; Keyu Chen; Juyong Zhang (CVPR, 2019)

Online defect recognition of narrow overlap weld based on two-stage recognition model combining continuous wavelet transform and convolutional neural network. - Rui Miao 004; Yuntian Gao; Liang Ge; Zihang Jiang; Jie Zhang 041 (Comput. Ind., 2019)

Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning. - Xiaoguang Tu; Jian Zhao 006; Zihang Jiang; Yao Luo; Mei Xie; Yang Zhao 003; Linxiao He; Zheng Ma 005; Jiashi Feng (CoRR, 2019)

PAGAN: A Phase-Adapted Generative Adversarial Networks for Speech Enhancement. - Peishuo Li; Zihang Jiang; Shouyi Yin; Dandan Song; Peng Ouyang; Leibo Liu; Shaojun Wei (ICASSP, 2020)

ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning. - Weihao Yu 001; Zihang Jiang; Yanfei Dong; Jiashi Feng (ICLR, 2020)

ConvBERT: Improving BERT with Span-based Dynamic Convolution. - Zihang Jiang; Weihao Yu 001; Daquan Zhou; Yunpeng Chen; Jiashi Feng; Shuicheng Yan (NeurIPS, 2020)

Few-shot Classification via Adaptive Attention. - Zihang Jiang; Bingyi Kang; Kuangqi Zhou; Jiashi Feng (CoRR, 2020)

Enabling Latency-Aware Data Initialization for Integrated CPU/GPU Heterogeneous Platform. - Zhendong Wang; Zihang Jiang; Zhen Wang 019; Xulong Tang; Cong Liu 005; Shouyi Yin; Yang Hu 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

LV-BERT: Exploiting Layer Variety for BERT. - Weihao Yu 001; Zihang Jiang; Fei Chen 013; Qibin Hou; Jiashi Feng (ACL/IJCNLP (Findings), 2021)

Towards a Secure Integrated Heterogeneous Platform via Cooperative CPU/GPU Encryption. - Zhendong Wang; Rujia Wang; Zihang Jiang; Xulong Tang; Shouyi Yin; Yang Hu 001 (ATS, 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)

Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet. - Zihang Jiang; Qibin Hou; Li Yuan 007; Daquan Zhou; Xiaojie Jin; Anran Wang 001; Jiashi Feng (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)

Elitist strategy of genetic algorithms for writing tang poetry. - Wujian Yang; Wenyong Weng; Guanlin Chen; Zihang Jiang (Int. Arab J. Inf. Technol., 2021)

Online inspection of narrow overlap weld quality using two-stage convolution neural network image recognition. - Rui Miao 004; Zihang Jiang; Qinye Zhou; Yizhou Wu; Yuntian Gao; Jie Zhang 041; Zhibin Jiang (Mach. Vis. Appl., 2021)

3D Face Reconstruction From A Single Image Assisted by 2D Face Images in the Wild. - Xiaoguang Tu; Jian Zhao 006; Mei Xie; Zihang Jiang; Akshaya Balamurugan; Yao Luo; Yang Zhao 003; Lingxiao He; Zheng Ma 005; Jiashi Feng (IEEE Trans. Multim., 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)

AvatarGen: A 3D Generative Model for Animatable Human Avatars. - Jianfeng Zhang; Zihang Jiang; Dingdong Yang; Hongyi Xu; Yichun Shi; Guoxian Song; Zhongcong Xu; Xinchao Wang; Jiashi Feng (ECCV Workshops (3), 2022)

OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis. - Hongyi Xu; Guoxian Song; Zihang Jiang; Jianfeng Zhang; Yichun Shi; Jing Liu 001; Wan-Chun Ma; Jiashi Feng; Linjie Luo (CVPR, 2023)

TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. - Kehong Gong; Dongze Lian; Heng Chang; Chuan Guo 002; Zihang Jiang; Xinxin Zuo; Michael Bi Mi; Xinchao Wang (ICCV, 2023)

AgileGAN3D: Few-Shot 3D Portrait Stylization by Augmented Transfer Learning. - Guoxian Song; Hongyi Xu; Jing Liu 001; Tiancheng Zhi; Yichun Shi; Jianfeng Zhang; Zihang Jiang; Jiashi Feng; Shen Sang; Linjie Luo (CoRR, 2023)

TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. - Kehong Gong; Dongze Lian; Heng Chang; Chuan Guo 002; Xinxin Zuo; Zihang Jiang; Xinchao Wang (CoRR, 2023)

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. - Qibin Hou; Zihang Jiang; Li Yuan 007; Ming-Ming Cheng; Shuicheng Yan; Jiashi Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

VOLO: Vision Outlooker for Visual Recognition. - Li Yuan 007; Qibin Hou; Zihang Jiang; Jiashi Feng; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification. - Haoran Lai; Qingsong Yao; Zihang Jiang; Rongsheng Wang; Zhiyang He; Xiaodong Tao; S. Kevin Zhou (CVPR, 2024)

Coherence Analysis and Interferometric Measurement of P-Band Repeat Pass UAV InSAR. - Xin Xie; Yunkai Deng; Zihang Jiang; Xiaoxiao Li; Weiming Tian (IGARSS, 2024)

E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model. - Haoran Lai; Zihang Jiang; Qingsong Yao; Rongsheng Wang; Zhiyang He; Xiaodong Tao; Wei Wei 006; Weifu Lv; S. Kevin Zhou (CoRR, 2024)

ICP: Immediate Compensation Pruning for Mid-to-high Sparsity. - Xin Luo; Xueming Fu; Zihang Jiang; S. Kevin Zhou (CVPR, 2025)

AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP. - Wenxin Ma; Xu Zhang; Qingsong Yao; Fenghe Tang; Chenxu Wu; Yingtai Li; Rui Yan 009; Zihang Jiang; S. Kevin Zhou (CVPR, 2025)

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement. - Chenxu Wu; Qingpeng Kong; Zihang Jiang; S. Kevin Zhou (ICLR, 2025)

Towards Accurate Unified Anomaly Segmentation. - Wenxin Ma; Qingsong Yao; Xiang Zhang; Zhelong Huang; Zihang Jiang; S. Kevin Zhou (WACV, 2025)

PostoMETRO: Pose Token Enhanced Mesh Transformer for Robust 3D Human Mesh Recovery. - Wendi Yang; Zihang Jiang; Shang Zhao 004; S. Kevin Zhou (WACV, 2025)

MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation. - Fenghe Tang; Bingkun Nian; Yingtai Li; Zihang Jiang; Jie Yang 002; Wei Liu 044; S. Kevin Zhou (Medical Image Anal., 2025)

ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training. - Rongsheng Wang; Qingsong Yao; Zihang Jiang; Haoran Lai; Zhiyang He; Xiaodong Tao; S. Kevin Zhou (Medical Image Anal., 2025)

Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis. - Haoran Lai; Zihang Jiang; Qingsong Yao; Rongsheng Wang; Zhiyang He; Xiaodong Tao; Wei Wei 006; Weifu Lv; S. Kevin Zhou (CoRR, 2025)

Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation. - Fenghe Tang; Qingsong Yao; Wenxin Ma; Chenxu Wu; Zihang Jiang; S. Kevin Zhou (CoRR, 2025)

Histomorphology-driven multi-instance learning for breast cancer WSI classification. - Baizhi Wang; Rui Yan 009; Wenxin Ma; Xu Zhang; Yuhao Wang; Xiaolong Li; Yunjie Gu; Zihang Jiang; S. Kevin Zhou (CoRR, 2025)

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster. - Fenghe Tang; Wenxin Ma; Zhiyang He; Xiaodong Tao; Zihang Jiang; S. Kevin Zhou (CoRR, 2025)

Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation. - Xueming Fu; Pei Wu; Yingtai Li; Xin Luo; Zihang Jiang; Junhao Mei; Jian Lu; Gao-Jun Teng; S. Kevin Zhou (CoRR, 2025)