Songyang Zhang

Selected Publications(Full List)

1. ArXiv

   Fake Alignment: Are LLMs Really Aligned Well?

   Yixu Wang, Yan Teng, Kexin Huang, Chengqi Lyu, Songyang Zhang, and 3 more authors

   arXiv preprint arXiv:2311.05915 2023

   Bib Code

   @article{wang2023fake,
     title = {Fake Alignment: Are LLMs Really Aligned Well?},
     author = {Wang, Yixu and Teng, Yan and Huang, Kexin and Lyu, Chengqi and Zhang, Songyang and Zhang, Wenwei and Ma, Xingjun and Wang, Yingchun},
     journal = {arXiv preprint arXiv:2311.05915},
     year = {2023},
     booktitle = {arXiv Preprint,},
   }

2. T-PAMI

   SGTR+: End-to-end Scene Graph Generation with Transformer

   Rongjie Li, Songyang Zhang, and Xuming He

   In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021, 2023

   Bib

   @inproceedings{li2023sgtrplus,
     title = {SGTR+: End-to-end Scene Graph Generation with Transformer},
     author = {Li, Rongjie and Zhang, Songyang and He, Xuming},
     booktitle = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021,},
     year = {2023},
   }

3. ArXiv

   BotChat: Evaluating LLMs’ Capabilities of Having Multi-Turn Dialogues

   Haodong Duan, Jueqi Wei, Chonghua Wang, Hongwei Liu, Yixiao Fang, and 3 more authors

   2023

   Bib Code

   @article{duan2023botchat,
     title = {BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn Dialogues},
     author = {Duan, Haodong and Wei, Jueqi and Wang, Chonghua and Liu, Hongwei and Fang, Yixiao and Zhang, Songyang and Lin, Dahua and Chen, Kai},
     year = {2023},
     booktitle = {arXiv Preprint,},
   }

4. ArXiv

   MMBench: Is Your Multi-modal Model an All-around Player?

   Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, and 7 more authors

   In arXiv Preprint, 2023

   Bib HTML Code

   @inproceedings{liu2023mmbench,
     title = {MMBench: Is Your Multi-modal Model an All-around Player?},
     author = {Liu, Yuan and Duan, Haodong and Zhang, Yuanhan and Li, Bo and Zhang, Songyang and Zhao, Wangbo and Yuan, Yike and Wang, Jiaqi and He, Conghui and Liu, Ziwei and Chen, Kai and Lin, Dahua},
     booktitle = {arXiv Preprint,},
     year = {2023},
   }

5. IJCAI

   TG-VQA: Ternary Game of Video Question Answering

   Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, and 3 more authors

   In Proceeding of International Joint Conferences on Artificial Intelligence (IJCAI), 2023

   Bib HTML

   @inproceedings{li2023tgvqa,
     title = {TG-VQA: Ternary Game of Video Question Answering},
     author = {Li, Hao and Jin, Peng and Cheng, Zesen and Zhang, Songyang and Chen, Kai and Wang, Zhennan and Liu, Chang and Chen, Jie},
     booktitle = {Proceeding of International Joint Conferences on Artificial Intelligence (IJCAI),},
     year = {2023},
   }

6. ICCV

   Improving Pixel-based MIM by Reducing Wasted Modeling Capability

   Yuan Liu, Songyang Zhang, Jiacheng Chen, Zhaohui Yu, Kai Chen, and 1 more author

   In Proceedings of the IEEE/CVF International Conference on Computer Vision(ICCV), 2023

   Bib HTML Code

   @inproceedings{liu2023mff,
     title = {Improving Pixel-based MIM by Reducing Wasted Modeling Capability},
     author = {Liu, Yuan and Zhang, Songyang and Chen, Jiacheng and Yu, Zhaohui and Chen, Kai and Lin, Dahua},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision(ICCV),},
     year = {2023},
   }

7. CVPR

   RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer

   Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, and 4 more authors

   In Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

   Bib HTML Code

   @inproceedings{wang2022riformer,
     title = {RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer},
     author = {Wang, Jiahao and Zhang, Songyang and Liu, Yong and Wu, Taiqiang and Yang, Yujiu and Liu, Xihui and Chen, Kai and Luo, Ping and Lin, Dahua},
     booktitle = {Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),},
     year = {2023},
   }

8. CVPR

   SGTR: End-to-end Scene Graph Generation with Transformer

   Rongjie Li, Songyang Zhang, and Xuming He

   In Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

   Bib HTML Code

   @inproceedings{li2022sgtr,
     title = {SGTR: End-to-end Scene Graph Generation with Transformer},
     author = {Li, Rongjie and Zhang, Songyang and He, Xuming},
     booktitle = {Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),},
     year = {2022},
   }

9. NeurIPS

   Dynamic Grained Encoder for Vision Transformers

   Lin Song*, Songyang Zhang*, Songtao Liu, Zeming Li, Xuming He, and 3 more authors

   In Proceeding of Advances in Neural Information Processing Systems (NeurIPS), 2021

   Bib HTML Code

   @inproceedings{lin2021dynamic,
     author = {Song*, Lin and Zhang*, Songyang and Liu, Songtao and Li, Zeming and He, Xuming and Sun, Hongbin and Sun, Jian and Zheng, Nanning},
     booktitle = {Proceeding of Advances in Neural Information Processing Systems (NeurIPS),},
     year = {2021},
   }

10. CVPR

    Distribution Alignment: A Unified Framework for Long-tail Visual Recognition

    Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, and Jian Sun

    In Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

    Bib HTML Code

    @inproceedings{zhang2021distribution,
      title = {Distribution Alignment: A Unified Framework for Long-tail Visual Recognition},
      author = {Zhang, Songyang and Li, Zeming and Yan, Shipeng and and He, Xuming and Sun, Jian},
      booktitle = {Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),},
      year = {2021},
    }

11. ICML

    LatentGNN: Learning Efficient Non-local Relations for Visual Recognition

    Songyang Zhang, Shipeng Yan, and Xuming He

    In Proceeding of the 36th International Conference on Machine Learning (ICML),, 2019

    Bib HTML Code

    @inproceedings{zhang2019latent,
      title = {LatentGNN: Learning Efficient Non-local Relations for Visual Recognition},
      author = {Zhang, Songyang and Yan, Shipeng and He, Xuming},
      booktitle = {Proceeding of the 36th International Conference on Machine Learning (ICML),,},
      year = {2019},
    }