Publications

Please see Google Scholar(>5800 citations) for more recent works and arXiv papers.

* : Equal contribution †: Corresponding author.

2024

1. NeurIPS

   

   PLIP: Language-Image Pre-training for Person Representation Learning

   Jialong Zuo, Jiahao Hong, Feng Zhang, Changqian Yu, Hanyu Zhou, Changxin Gao, Nong Sang, and Jingdong Wang

   In Annual Conference on Neural Information Processing Systems (NeurIPS) , 2024

   arXiv Bib Code

   

   @inproceedings{zuo2023plip,
     title = {PLIP: Language-Image Pre-training for Person Representation Learning},
     author = {Zuo, Jialong and Hong, Jiahao and Zhang, Feng and Yu, Changqian and Zhou, Hanyu and Gao, Changxin and Sang, Nong and Wang, Jingdong},
     booktitle = {Annual Conference on Neural Information Processing Systems},
     year = {2024},
     google_scholar_id = {3fE2CSJIrl8C},
   }

2. arXiv

   

   FLUX that Plays Music

   Zhengcong Fei, Mingyuan Fan, Changqian Yu, and Junshi Huang

   arXiv preprint (arXiv), 2024

   arXiv Bib Code

   

   @article{fei2024flux,
     title = {FLUX that Plays Music},
     author = {Fei, Zhengcong and Fan, Mingyuan and Yu, Changqian and Huang, Junshi},
     journal = {arXiv preprint},
     year = {2024},
     google_scholar_id = {M3ejUd6NZC8C},
   }

3. arXiv

   

   Scaling Diffusion Transformers to 16 Billion Parameters

   Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, and Junshi Huang

   arXiv preprint (arXiv), 2024

   arXiv Bib Code

   

   @article{fei2024scaling,
     title = {Scaling Diffusion Transformers to 16 Billion Parameters},
     author = {Fei, Zhengcong and Fan, Mingyuan and Yu, Changqian and Li, Debang and Huang, Junshi},
     journal = {arXiv preprint},
     year = {2024},
     google_scholar_id = {4TOpqqG69KYC},
   }

4. arXiv

   

   Dimba: Transformer-Mamba Diffusion Models

   Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Youqiang Zhang, and Junshi Huang

   arXiv preprint (arXiv), 2024

   arXiv Bib HTML Code

   

   @article{fei2024dimba,
     title = {Dimba: Transformer-Mamba Diffusion Models},
     author = {Fei, Zhengcong and Fan, Mingyuan and Yu, Changqian and Li, Debang and Zhang, Youqiang and Huang, Junshi},
     journal = {arXiv preprint},
     year = {2024},
     google_scholar_id = {YOwf2qJgpHMC},
   }

5. arXiv

   

   Scalable diffusion models with state space backbone

   Zhengcong Fei, Mingyuan Fan, Changqian Yu, and Junshi Huang

   arXiv preprint (arXiv), 2024

   arXiv Bib Code

   

   @article{fei2024scalable,
     title = {Scalable diffusion models with state space backbone},
     author = {Fei, Zhengcong and Fan, Mingyuan and Yu, Changqian and Huang, Junshi},
     journal = {arXiv preprint},
     year = {2024},
     google_scholar_id = {Zph67rFs4hoC},
   }

2023

1. IEEE TMM

   

   Hybrid motion representation learning for prediction from raw sensor data

   Depu Meng, Changqian Yu^†, Jiajun Deng, Deheng Qian, Houqiang Li, and Dongchun Ren

   IEEE Transactions on Multimedia (IEEE TMM), 2023

   Bib HTML

   

   @article{meng2023hybrid,
     title = {Hybrid motion representation learning for prediction from raw sensor data},
     author = {Meng, Depu and Yu, Changqian and Deng, Jiajun and Qian, Deheng and Li, Houqiang and Ren, Dongchun},
     journal = {IEEE Transactions on Multimedia},
     volume = {25},
     pages = {8868--8879},
     year = {2023},
     publisher = {IEEE},
     google_scholar_id = {MXK_kJrjxJIC},
   }

2. IEEE TIP

   

   Conditional boundary loss for semantic segmentation

   Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Changxin Gao, and Nong Sang

   IEEE Transactions on Image Processing (IEEE TIP), 2023

   Bib HTML Code

   

   @article{wu2023conditional,
     title = {Conditional boundary loss for semantic segmentation},
     author = {Wu, Dongyue and Guo, Zilin and Li, Aoyan and Yu, Changqian and Gao, Changxin and Sang, Nong},
     journal = {IEEE Transactions on Image Processing},
     year = {2023},
     publisher = {IEEE},
     google_scholar_id = {kNdYIx-mwKoC},
   }

2021

1. IJCV

   

   BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation

   Changqian Yu, Changxin Gao^†, Jingbo Wang, Gang Yu, Chunhua Shen, and Nong Sang

   International Journal of Computer Vision (IJCV), 2021

   ESI-Hot arXiv Bib HTML Code

   

   ESI-Hot Paper & ESI-Highly Cited Paper

   @article{yu2021bisenet,
     title = {BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation},
     author = {Yu, Changqian and Gao, Changxin and Wang, Jingbo and Yu, Gang and Shen, Chunhua and Sang, Nong},
     journal = {International Journal of Computer Vision},
     volume = {129},
     pages = {3051--3068},
     year = {2021},
     google_scholar_id = {Y0pCki6q_DkC},
   }

2. CVPR

   

   Lite-HRNet: A Lightweight High-Resolution Network

   Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, and Jingdong Wang

   In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2021

   arXiv Bib HTML Code

   

   @inproceedings{yu2021lite,
     title = {Lite-HRNet: A Lightweight High-Resolution Network},
     author = {Yu, Changqian and Xiao, Bin and Gao, Changxin and Yuan, Lu and Zhang, Lei and Sang, Nong and Wang, Jingdong},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     pages = {10440--10450},
     year = {2021},
     google_scholar_id = {WF5omc3nYNoC},
   }

3. IEEE SPL

   

   CondNet: Conditional Classifier for Scene Segmentation

   Changqian Yu, Yuanjie Shao, Changxin Gao, and Nong Sang

   IEEE Signal Processing Letters (IEEE SPL), 2021

   arXiv Bib HTML Code

   

   @article{yu2021condnet,
     title = {CondNet: Conditional Classifier for Scene Segmentation},
     author = {Yu, Changqian and Shao, Yuanjie and Gao, Changxin and Sang, Nong},
     journal = {IEEE Signal Processing Letters},
     volume = {28},
     pages = {758--762},
     year = {2021},
     publisher = {IEEE},
     google_scholar_id = {ufrVoPGSRksC},
   }

2020

1. CVPR

   

   Context prior for scene segmentation

   Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, and Nong Sang

   In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2020

   arXiv Bib HTML Code

   

   @inproceedings{yu2020context,
     title = {Context prior for scene segmentation},
     author = {Yu, Changqian and Wang, Jingbo and Gao, Changxin and Yu, Gang and Shen, Chunhua and Sang, Nong},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     pages = {12416--12425},
     year = {2020},
     google_scholar_id = {Tyk-4Ss8FVUC},
   }

2. ECCV

   

   Representative Graph Neural Network

   Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, and Nong Sang

   In European Conference on Computer Vision (ECCV) , 2020

   arXiv Bib HTML

   

   @inproceedings{yu2020representative,
     title = {Representative Graph Neural Network},
     author = {Yu, Changqian and Liu, Yifan and Gao, Changxin and Shen, Chunhua and Sang, Nong},
     booktitle = {European Conference on Computer Vision},
     pages = {379--396},
     year = {2020},
     organization = {Springer},
     google_scholar_id = {W7OEmFMy1HYC},
   }

3. ECCV

   

   Efficient Semantic Video Segmentation with Per-frame Inference

   Yifan Liu, Chunhua Shen, Changqian Yu, and Jingdong Wang

   In European Conference on Computer Vision (ECCV) , 2020

   arXiv Bib HTML Code

   

   @inproceedings{liu2020efficient,
     title = {Efficient Semantic Video Segmentation with Per-frame Inference},
     author = {Liu, Yifan and Shen, Chunhua and Yu, Changqian and Wang, Jingdong},
     booktitle = {European Conference on Computer Vision},
     pages = {352--368},
     year = {2020},
     organization = {Springer},
     google_scholar_id = {zYLM7Y9cAGgC},
   }

2019

1. CVPR

   

   An End-to-End Network for Panoptic Segmentation

   Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, and Wei Jiang

   In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2019

   arXiv Bib HTML

   

   @inproceedings{liu2019end,
     title = {An End-to-End Network for Panoptic Segmentation},
     author = {Liu, Huanyu and Peng, Chao and Yu, Changqian and Wang, Jingbo and Liu, Xu and Yu, Gang and Jiang, Wei},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     pages = {6172--6181},
     year = {2019},
     google_scholar_id = {2osOgNQ5qMEC},
   }

2018

1. ECCV

   

   BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

   Changqian Yu^*, Jingbo Wang^*, Chao Peng, Changxin Gao^†, Gang Yu, and Nong Sang

   In European Conference on Computer Vision (ECCV) , 2018

   ECCV 2018 Top-10 Influential Papers arXiv Bib HTML Code

   

   Rank 10 in ECCV 2018 Top-10 Influential Papers

   @inproceedings{yu2018bisenet,
     title = {BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation},
     author = {Yu, Changqian and Wang, Jingbo and Peng, Chao and Gao, Changxin and Yu, Gang and Sang, Nong},
     booktitle = {European Conference on Computer Vision},
     pages = {325--341},
     year = {2018},
     google_scholar_id = {UeHWp8X0CEIC},
   }

2. CVPR

   

   Learning a Discriminative Feature Network for Semantic Segmentation

   Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, and Nong Sang

   In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2018

   arXiv Bib HTML Code

   

   @inproceedings{yu2018learning,
     title = {Learning a Discriminative Feature Network for Semantic Segmentation},
     author = {Yu, Changqian and Wang, Jingbo and Peng, Chao and Gao, Changxin and Yu, Gang and Sang, Nong},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     pages = {1857--1866},
     year = {2018},
     google_scholar_id = {u5HHmVD_uO8C},
   }