I am currently a principal researcher at Tencent ARC Lab, leading an effort on multimodal foundation models, open-world visual comprehension, and efficient AI. I got my Ph.D. degree from Multimedia Lab (MMLab), the Chinese University of Hong Kong, and my B.Eng. degree from Huazhong University of Science and Technology.

Actively looking for self-motivated interns to work on related research topics. Feel free to reach out if you are interested.


  • [July 2024] Two papers are accepted to ECCV 2024, and one paper is accepted to TMLR.
  • [July 2024] Excited to release two open-source projects, MLLM-NPU and Open-MAGVIT2.
  • [May 2024] One paper is accepted to the main conference of ACL 2024.
  • [Apr 2024] Excited to release SEED-X, the latest version of the SEED series.
  • [Feb 2024] Nine papers are accepted to CVPR 2024.
  • [Feb 2024] Excited to release YOLO-World, a real-time open-vocabulary object detector.
  • [Jan 2024] One paper is accepted to ICLR 2024.
  • [Jan 2024] Excited to release LLaMA Pro, the SOTA model among the LLaMA family.
  • [Dec 2023] One paper is accepted to AAAI 2024.
  • [Nov 2023] Glad to launch SEED-Bench-2 and ViT-Lens-2!
  • [Oct 2023] Excited to unveil SEED-LLaMA (SEED-2), featuring in-context emergent capabilities.
  • [Sep 2023] Three papers are accepted to NeurIPS 2023.
  • [Aug 2023] Glad to release ViT-Lens, advancing omni-modal representation learning.
  • [Aug 2023] Glad to release SEED-Bench, the most comprehensive MLLM benchmark to date.
  • [July 2023] Glad to release SEED, an image tokenizer tailored for LLM.
  • [Jan-July 2023] 11 papers were accepted by ICLR/CVPR/ICML/KDD/ICCV 2023.
  • [Jan-Nov 2022] 11 papers were accepted by ICLR/CVPR/IJCAI/ECCV 2022 and AAAI 2023, 2 of which were oral.
  • [Mar-Jul 2021] 5 papers were accepted by CVPR/ICCV 2021.
  • [Jan-Sep 2020] 3 papers were accepted by ICLR/ECCV/NeurIPS 2020, 1 of which was spotlight.

Open-source Projects


( *equal contribution   #corresponding author / project lead )

Selected Preprints:

  • SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
    The latest version of the SEED series, towards multimodal models in the real world.
    Yuying Ge*, Sijie Zhao*, Jinguo Zhu*, Yixiao Ge#, Kun Yi, Lin Song, Chen Li, Xiaohan Ding, Ying Shan


  • Vision-language instruction tuning: A review and analysis
    Chen Li, Yixiao Ge, Dian Li, Ying Shan
    TMLR, 2024 [Paper] [Code] [Data] GitHub stars
  • ST-LLM: Large Language Models Are Effective Temporal Learners
    Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, Ge Li
    ECCV, 2024 [Paper] [Code] GitHub stars
  • DreamDiffusion: Generating High-Quality Images from Brain EEG Signals
    Yunpeng Bai, Xintao Wang, Yan-pei Cao, Yixiao Ge, Chun Yuan, Ying Shan
    ECCV, 2024 [Paper] [Code] GitHub stars
  • LLaMA Pro: Progressive LLaMA with Block Expansion
    SOTA foundation models among the LLaMA family, excelling in general tasks, code, and math.
    Chengyue Wu, Yukang Gan, Yixiao Ge#, Zeyu Lu, Jiahao Wang, Ye Feng, Ping Luo, Ying Shan
    ACL, 2024 [Project] [Paper] [Code] [Model] GitHub stars
  • YOLO-World: Real-Time Open-Vocabulary Object Detection
    A real-time open-vocabulary object detector with SOTA performance.
    Tianheng Cheng*, Lin Song*#, Yixiao Ge#, Wenyu Liu, Xinggang Wang#, Ying Shan
    CVPR, 2024 [Project] [Paper] [Code] GitHub stars
  • ViT-Lens: Towards Omni-modal Representations
    Advancing omni-modal representation learning with modality lens. Support 3D point cloud, depth, audio, tactile, EEG. Enable any-modality to text and image generation.
    Weixian Lei, Yixiao Ge#, Kun Yi, Jianfeng Zhang, Difei Gao, Dylan Sun, Yuying Ge, Ying Shan, Mike Zheng Shou#
    CVPR, 2024 [Project] [Paper] [Code] [Model] [Version 1] GitHub stars
  • SEED-Bench: Benchmarking Multimodal Large Language Models
    Comprises 24K multiple-choice questions with accurate human annotations, which spans 27 dimensions, including the evaluation of both text and image generation.
    Bohao Li*, Yuying Ge*, Yixiao Ge#, Guangzhi Wang, Rui Wang, Ruimao Zhang#, Ying Shan
    CVPR, 2024 [Paper] [Code & Data] [Leaderboard] [Version 1] GitHub stars
  • UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
    Xiaohan Ding, Yiyuan Zhang, Yixiao Ge, Sijie Zhao, Lin Song, Xiangyu Yue, Ying Shan
    CVPR, 2024 [Paper] [Code] GitHub stars
  • BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
    Ruyang Liu, Chen Li, Yixiao Ge, Ying Shan, Thomas H. Li, Ge Li
    CVPR, 2024 [Paper] [Code] GitHub stars
  • SmartEdit: Exploring Complex Instruction-based Image Editing with Large Language Models
    Yuzhou Huang, Liangbin Xie, Xintao Wang, Ziyang Yuan, Xiaodong Cun, Yixiao Ge, Jiantao Zhou, Chao Dong, Rui Huang, Ruimao Zhang, Ying Shan
    CVPR, 2024 [Paper] [Code] GitHub stars
  • Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis
    Yuchao Gu, Xintao Wang, Yixiao Ge, Ying Shan, Mike Zheng Shou
    CVPR, 2024 [Paper]
  • Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
    Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong, Yixiao Ge, Ying Shan, Xiangyu Yue
    CVPR, 2024 [Paper] [Code] GitHub stars
  • LoRA-Sparse: Low-Rank Approximation for Sparse Large Language Models
    Lin Song, Yukang Chen, Shuai Yang, Xiaohan Ding, Yixiao Ge, Ying-Cong Chen, Ying Shan
    CVPR, 2024 [Paper (Coming soon)]
  • Making LLaMA SEE and Draw with SEED Tokenizer
    Offers unified multimodal comprehension and generation, featuring multi-turn in-context emergent capabilities, akin to an AI aide.
    Yuying Ge*, Sijie Zhao*, Ziyun Zeng, Yixiao Ge#, Chen Li, Xintao Wang, Ying Shan
    ICLR, 2024 [Project] [Version 1] [Paper] [Code] [Model] GitHub stars
  • Cached Transformers: Improving Transformers with Differentiable Memory Cache
    Zhaoyang Zhang, Wenqi Shao, Yixiao Ge, Xiaogang Wang, Jinwei Gu, Ping Luo
    AAAI, 2024 [Paper]


  • GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
    Rui Yang, Lin Song, Yanwei Li, Sijie Zhao, Yixiao Ge, Xiu Li, Ying Shan
    NeurIPS, 2023 [Project] [Paper] [Demo] [Code] GitHub stars
  • Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
    Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou
    NeurIPS, 2023 [Project] [Paper] [Code] GitHub stars
  • Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
    Cheng Cheng, Lin Song, Ruoyi Xue, Hang Wang, Hongbin Sun, Yixiao Ge, Ying Shan
    NeurIPS, 2023 [Paper] [Code] GitHub stars
  • Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
    Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Yufei Shi, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou
    ICCV, 2023 [Project] [Paper] [Demo] [Code] GitHub stars
  • Exploring Model Transferability through the Lens of Potential Energy
    Xiaotong Li, Zixuan Hu, Yixiao Ge, Ying Shan, Lingyu Duan
    ICCV, 2023 [Paper] [Code] GitHub stars
  • BoxSnake: Polygonal Instance Segmentation with Box Supervision
    Rui Yang, Lin Song, Yixiao Ge, Xiu Li
    ICCV, 2023 [Paper] [Code] GitHub stars
  • Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection
    Yuxin Fang*, Shusheng Yang*, Shijie Wang*, Yixiao Ge, Ying Shan, Xinggang Wang
    ICCV, 2023 [Paper] [Code] GitHub stars
  • Binary Embedding-based Retrieval at Tencent
    Yukang Gan*, Yixiao Ge*, Chang Zhou*, Shupeng Su, Zhouchuan Xu, Xuyuan Xu, Quanchao Hui, Xiang Chen, Yexin Wang, Ying Shan
    KDD, 2023 [Paper] [Code] GitHub stars
  • π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
    Chengyue Wu, Teng Wang, Yixiao Ge#, Zeyu Lu, Ruisong Zhou, Ying Shan, Ping Luo
    ICML, 2023 [Paper] [Code] GitHub stars
  • Accelerating Vision-Language Pretraining with Free Language Modeling
    Teng Wang, Yixiao Ge, Feng Zheng, Ran Cheng, Ying Shan, Xiaohu Qie, Ping Luo
    CVPR, 2023 [Paper] [Code] GitHub stars
  • Masked Visual Reconstruction in Language Semantic Space
    Shusheng Yang, Yixiao Ge#, Kun Yi, Dian Li, Ying Shan, Xiaohu Qie, Xinggang Wang#
    CVPR, 2023 [Paper] [Code] GitHub stars
  • Learning Transferable Spatiotemporal Representations from Natural Script Knowledge
    Ziyun Zeng*, Yuying Ge*, Xihui Liu, Bin Chen#, Ping Luo, Shu-Tao Xia, Yixiao Ge#
    CVPR, 2023 [Paper] [Code] GitHub stars
  • All in One: Exploring Unified Video-Language Pre-training
    Alex Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, Xiaohu Qie, Mike Zheng Shou
    CVPR, 2023 [Paper] [Code] GitHub stars
  • Masked Image Modeling with Denoising Contrast
    Kun Yi*, Yixiao Ge*#, Xiaotong Li, Shusheng Yang, Dian Li, Jianping Wu, Ying Shan, Xiaohu Qie
    ICLR, 2023 [Paper] [Code] GitHub stars
  • Darwinian Model Upgrades: Model Evolving with Selective Compatibility
    Binjie Zhang*, Shupeng Su*, Yixiao Ge#, Xuyuan Xu, Yexin Wang, Chun Yuan, Mike Zheng Shou, Ying Shan
    AAAI, 2023 [Paper]
  • Video-Text Pre-training with Learned Regions
    Rui Yan, Mike Zheng Shou, Yixiao Ge, Alex Jinpeng Wang, Xudong Lin, Guanyu Cai, Jinhui Tang
    AAAI, 2023 [Paper] [Code] GitHub stars


  • MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval
    Yuying Ge, Yixiao Ge, Xihui Liu, Jinpeng Wang, Jianping Wu, Ying Shan, Xiaohu Qie, Ping Luo
    ECCV, 2022 [Paper] [Code] GitHub stars
  • Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space
    Wenqi Shao#, Xun Zhao, Yixiao Ge#, Zhaoyang Zhang, Lei Yang, Xiaogang Wang, Ying Shan, Ping Luo
    ECCV, 2022 [Paper] [Code] GitHub stars
  • mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
    Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Lingyu Duan
    ECCV, 2022 [Paper] [Code] GitHub stars
  • Towards Universal Backward-Compatible Representation Learning
    Binjie Zhang, Yixiao Ge#, Yantao Shen, Shupeng Su, Fanzi Wu, Chun Yuan#, Xuyuan Xu, Yexin Wang, Ying Shan
    IJCAI, 2022 (Long oral) [Paper] [Code] GitHub stars
  • Bridging Video-text Retrieval with Multiple Choice Questions
    Yuying Ge, Yixiao Ge, Xihui Liu, Dian Li, Ying Shan, Xiaohu Qie, Ping Luo
    CVPR, 2022 (Oral) [Paper] [Code] GitHub stars
  • Object-aware Video-language Pre-training for Retrieval
    Alex Jinpeng Wang, Yixiao Ge, Guanyu Cai, Rui Yan, Xudong Lin, Ying Shan, Xiaohu Qie, Mike Zheng Shou
    CVPR, 2022 [Paper] [Code] GitHub stars
  • Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval
    Binjie Zhang, Yixiao Ge#, Yantao Shen, Yu Li, Chun Yuan#, Xuyuan Xu, Yexin Wang, Ying Shan
    ICLR, 2022 [Paper] [Code] GitHub stars
  • Dynamic Token Normalization Improves Vision Transformer
    Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo
    ICLR, 2022 [Paper] [Code] GitHub stars
  • Uncertainty Modeling for Out-of-Distribution Generalization
    Xiaotong Li, Yongxing Dai, Yixiao Ge, Jun Liu, Ying Shan, Lingyu Duan
    ICLR, 2022 [Paper] [Code] GitHub stars
  • Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID
    Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Xiaogang Wang, Hongsheng Li
    IEEE TNNLS, 2022 [Project] [Paper]


  • Progressive Correspondence Pruning by Consensus Learning
    Chen Zhao*, Yixiao Ge*, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann
    ICCV, 2021 [Project] [Paper] [Code] GitHub stars
  • Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification
    Yi Zheng, Shixiang Tang, Guolong Teng, Yixiao Ge, Kaijian Liu, Donglian Qi, Jing Qin, Dapeng Chen
    ICCV, 2021 [Paper]
  • Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification
    Xiao Zhang*, Yixiao Ge*, Yu Qiao, Hongsheng Li
    CVPR, 2021 [Paper]
  • DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
    Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li
    CVPR, 2021 [Paper] [Code] GitHub stars
  • Mutual CRF-GNN Network for Few-shot Learning
    Shixiang Tang, Dapeng Chen, Lei Bai, Kaijian Liu, Yixiao Ge, Wanli Ouyang
    CVPR 2021 [Paper]


  • Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
    Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Hongsheng Li
    NeurIPS, 2020 [Project] [Paper] [Code] GitHub stars
  • Self-supervising Fine-grained Region Similarities for Large-scale Image Localization
    Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, Hongsheng Li
    ECCV, 2020 (Spotlight) [Project] [Paper] [Code] GitHub stars
  • Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
    Yixiao Ge, Dapeng Chen, Hongsheng Li
    ICLR, 2020 [Project] [Paper] [Code] GitHub stars

Before 2020:

  • FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
    Yixiao Ge*, Zhuowan Li*, Haiyu Zhao, Guojun Yin, Shuai Yi, Xiaogang Wang, Hongsheng Li
    NeurIPS, 2018 [Project] [Paper] [Code] GitHub stars