TransmiR v2.0: an updated transcription factor-microRNA regulation database. - Zhan Tong; Qinghua Cui; Juan Wang 018; Yuan Zhou (Nucleic Acids Res., 2019)

TDN: Temporal Difference Networks for Efficient Action Recognition. - Limin Wang 002; Zhan Tong; Bin Ji; Gangshan Wu (CVPR, 2021)

MGSampler: An Explainable Sampling Strategy for Video Action Recognition. - Yuan Zhi; Zhan Tong; Limin Wang 002; Gangshan Wu (ICCV, 2021)

EViT: Expediting Vision Transformers via Token Reorganizations. - Youwei Liang; Chongjian Ge; Zhan Tong; Yibing Song; Jue Wang 001; Pengtao Xie (ICLR, 2022)

AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition. - Shoufa Chen; Chongjian Ge; Zhan Tong; Jiangliu Wang; Yibing Song; Jue Wang 001; Ping Luo 002 (NeurIPS, 2022)

VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training. - Zhan Tong; Yibing Song; Jue Wang 001; Limin Wang 002 (NeurIPS, 2022)

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations. - Youwei Liang; Chongjian Ge; Zhan Tong; Yibing Song; Jue Wang 001; Pengtao Xie (CoRR, 2022)

Data-consistent Unsupervised Diffusion Model for Metal Artifact Reduction. - Zhan Tong; Zhan Wu; Yang Yang; Weilong Mao; Shijie Wang; Yinsheng Li; Yang Chen (BIBM, 2023)

VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking. - Limin Wang 002; Bingkun Huang; Zhiyu Zhao; Zhan Tong; Yinan He; Yi Wang 074; Yali Wang 001; Yu Qiao 001 (CVPR, 2023)

Efficient Video Action Detection with Token Dropout and Context Refinement. - Lei Chen; Zhan Tong; Yibing Song; Gangshan Wu; Limin Wang 002 (ICCV, 2023)

Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning. - Chongjian Ge; Jiangliu Wang; Zhan Tong; Shoufa Chen; Yibing Song; Ping Luo 002 (ICLR, 2023)

CycleACR: Cycle Modeling of Actor-Context Relations for Video Action Detection. - Lei Chen; Zhan Tong; Yibing Song; Gangshan Wu; Limin Wang 002 (CoRR, 2023)

TVTSv2: Learning Out-of-the-box Spatiotemporal Visual Representations at Scale. - Ziyun Zeng; Yixiao Ge; Zhan Tong; Xihui Liu; Shu-Tao Xia; Ying Shan (CoRR, 2023)

Speed Co-Augmentation for Unsupervised Audio-Visual Pre-training. - Jiangliu Wang; Jianbo Jiao; Yibing Song; Stephen James; Zhan Tong; Chongjian Ge; Pieter Abbeel; Yunhui Liu 001 (CoRR, 2023)

Advancing Vision Transformers with Group-Mix Attention. - Chongjian Ge; Xiaohan Ding; Zhan Tong; Li Yuan; Jiangliu Wang; Yibing Song; Ping Luo (CoRR, 2023)

TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification. - Qinying Liu; Kecheng Zheng; Wei Wu; Zhan Tong; Yu Liu; Wei Chen; Zilei Wang; Yujun Shen (CoRR, 2023)

Bootstrapping SparseFormers from Vision Foundation Models. - Ziteng Gao; Zhan Tong; Kevin Qinghong Lin; Joya Chen; Mike Zheng Shou (CVPR, 2024)

NEAT-Net: An Unsupervised Cross-View Prior Inpainting Network for CBCT Metal Artifact Reduction. - Yang Yang; Zhan Tong; Xinyun Zhong; Yijie Shi; Yan Xi; Wenxue Yu; Zhan Wu; Yang Chen 008 (EMBC, 2024)

SparseFormer: Sparse Visual Recognition via Limited Latent Tokens. - Ziteng Gao; Zhan Tong; Limin Wang 002; Mike Zheng Shou (ICLR, 2024)

Contextual AD Narration with Interleaved Multimodal Sequence. - Hanlin Wang; Zhan Tong; Kecheng Zheng; Yujun Shen; Limin Wang 002 (CVPR, 2025)