EVA: Exploring the Limits of Masked Visual Representation Learning at Scale. - Yuxin Fang; Wen Wang 015; Binhui Xie; Quan Sun; Ledell Wu; Xinggang Wang; Tiejun Huang 003; Xinlong Wang; Yue Cao 001 (CVPR, 2023)

Images Speak in Images: A Generalist Painter for In-Context Visual Learning. - Xinlong Wang; Wen Wang 015; Yue Cao 001; Chunhua Shen; Tiejun Huang 003 (CVPR, 2023)

SegGPT: Towards Segmenting Everything In Context. - Xinlong Wang; Xiaosong Zhang; Yue Cao 001; Wen Wang 015; Chunhua Shen; Tiejun Huang 003 (ICCV, 2023)

SegGPT: Segmenting Everything In Context. - Xinlong Wang; Xiaosong Zhang; Yue Cao 001; Wen Wang 015; Chunhua Shen; Tiejun Huang 003 (CoRR, 2023)

Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity. - Xundong Wu; Pengfei Zhao; Zilin Yu; Lei Ma 008; Ka-Wa Yip; Huajin Tang; Gang Pan 001; Tiejun Huang 003 (CoRR, 2023)

Generative Pretraining in Multimodality. - Quan Sun; Qiying Yu; Yufeng Cui; Fan Zhang; Xiaosong Zhang; Yueze Wang; Hongcheng Gao; Jingjing Liu; Tiejun Huang 003; Xinlong Wang (CoRR, 2023)

GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation. - Baorui Ma; Haoge Deng; Junsheng Zhou; Yu-Shen Liu; Tiejun Huang 003; Xinlong Wang (CoRR, 2023)

Generative Multimodal Models are In-Context Learners. - Quan Sun; Yufeng Cui; Xiaosong Zhang; Fan Zhang; Qiying Yu; Zhengxiong Luo; Yueze Wang; Yongming Rao; Jingjing Liu; Tiejun Huang 003; Xinlong Wang (CoRR, 2023)

Generative Multimodal Models are In-Context Learners. - Quan Sun; Yufeng Cui; Xiaosong Zhang; Fan Zhang; Qiying Yu; Yueze Wang; Yongming Rao; Jingjing Liu; Tiejun Huang 003; Xinlong Wang (CVPR, 2024)

Emu: Generative Pretraining in Multimodality. - Quan Sun; Qiying Yu; Yufeng Cui; Fan Zhang; Xiaosong Zhang; Yueze Wang; Hongcheng Gao; Jingjing Liu; Tiejun Huang 003; Xinlong Wang (ICLR, 2024)

Uni3D: Exploring Unified 3D Representation at Scale. - Junsheng Zhou; Jinsheng Wang; Baorui Ma; Yu-Shen Liu; Tiejun Huang 003; Xinlong Wang (ICLR, 2024)

Learning from Pattern Completion: Self-supervised Controllable Generation. - Zhiqiang Chen; Guofan Fan; Jinying Gao; Lei Ma 008; Bo Lei; Tiejun Huang 003; Shan Yu (NeurIPS, 2024)

Tele-FLM Technical Report. - Xiang Li 001; Yiqun Yao; Xin Jiang 005; Xuezhi Fang; Chao Wang; Xinzhang Liu; Zihan Wang; Yu Zhao 007; Xin Wang; Yuyao Huang; Shuangyong Song; Yongxiang Li; et al. (CoRR, 2024)

52B to 1T: Lessons Learned via Tele-FLM Series. - Xiang Li 001; Yiqun Yao; Xin Jiang 005; Xuezhi Fang; Chao Wang; Xinzhang Liu; Zihan Wang; Yu Zhao 007; Xin Wang; Yuyao Huang; Shuangyong Song; Yongxiang Li; et al. (CoRR, 2024)

OmniGen: Unified Image Generation. - Shitao Xiao; Yueze Wang; Junjie Zhou 001; Huaying Yuan; Xingrun Xing; Ruiran Yan; Shuting Wang 002; Tiejun Huang 003; Zheng Liu 011 (CoRR, 2024)

Emu3: Next-Token Prediction is All You Need. - Xinlong Wang; Xiaosong Zhang; Zhengxiong Luo; Quan Sun; Yufeng Cui; Jinsheng Wang; Fan Zhang; Yueze Wang; Zhen Li; Qiying Yu; Yingli Zhao; Yulong Ao; et al. (CoRR, 2024)

CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs. - Qichao Ma; Rui-Jie Zhu 003; Peiye Liu; Renye Yan; Fahong Zhang 004; Ling Liang; Meng Li; Zhaofei Yu; Zongwei Wang 001; Yimao Cai; Tiejun Huang 003 (CoRR, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (CoRR, 2024)

EVA-02: A visual representation for neon genesis. - Yuxin Fang; Quan Sun; Xinggang Wang; Tiejun Huang 003; Xinlong Wang; Yue Cao 001 (Image Vis. Comput., 2024)

An integrative data-driven model simulating C. elegans brain, body and environment interactions. - Mengdi Zhao; Ning Wang 063; Xinrui Jiang; Xiaoyang Ma; Haixin Ma; Gan He; Kai Du; Lei Ma 008; Tiejun Huang 003 (Nat. Comput. Sci., 2024)

Rethinking High-speed Image Reconstruction Framework with Spike Camera. - Kang Chen; Yajing Zheng; Tiejun Huang 003; Zhaofei Yu (AAAI, 2025)

Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis. - Yu Zhu; Bo Lei; Chunfeng Song; Wanli Ouyang; Shan Yu; Tiejun Huang 003 (AAAI, 2025)

You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale. - Baorui Ma; Huachen Gao; Haoge Deng; Zhengxiong Luo; Tiejun Huang 003; Lulu Tang; Xinlong Wang (CVPR, 2025)

OmniGen: Unified Image Generation. - Shitao Xiao; Yueze Wang; Junjie Zhou 001; Huaying Yuan; Xingrun Xing; Ruiran Yan; Chaofan Li; Shuting Wang 002; Tiejun Huang 003; Zheng Liu 011 (CVPR, 2025)

Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation. - Xinyang Huang; Chuang Zhu; Ruiying Ren; Shengjie Liu; Tiejun Huang 003 (CoRR, 2025)

SPKLIP: Aligning Spike Video Streams with Natural Language. - Yongchang Gao; Meiling Jin; Zhaofei Yu; Tiejun Huang 003; Guozhang Chen (CoRR, 2025)

OmniGen2: Exploration to Advanced Multimodal Generation. - Chenyuan Wu; Pengfei Zheng; Ruiran Yan; Shitao Xiao; Xin Luo; Yueze Wang; Wanli Li; Xiyan Jiang; Yexin Liu; Junjie Zhou 001; Ze Liu; Ziyi Xia; et al. (CoRR, 2025)

RoboBrain 2.0 Technical Report. - Mingyu Cao; Huajie Tan; Yuheng Ji; Minglan Lin; Zhiyu Li; Zhou Cao; Pengwei Wang 004; Enshen Zhou; Yi Han; Yingbo Tang; Xiangqi Xu; Wei Guo; et al. (CoRR, 2025)