Publications

2026

1. ICLR

   

   Geometric-Mean Policy Optimization

   Yuzhong Zhao, Yue Liu, Junpeng Liu, Jingye Chen, Xun Wu, Yaru Hao, and 6 more authors

   In International Conference on Learning Representations, 2026

   Bib HTML Code

   

   @inproceedings{zhao2026geometric,
     title = {{Geometric-Mean Policy Optimization}},
     author = {Zhao, Yuzhong and Liu, Yue and Liu, Junpeng and Chen, Jingye and Wu, Xun and Hao, Yaru and Lv, Tengchao and Huang, Shaohan and Cui, Lei and Ye, Qixiang and Wan, Fang and Wei, Furu},
     booktitle = {International Conference on Learning Representations},
     pages = {41354--41374},
     year = {2026},
   }

2. arXiv

   

   On-Policy Context Distillation for Language Models

   Tianzhu Ye, Li Dong, Xun Wu, Shaohan Huang, and Furu Wei

   arXiv preprint arXiv:2602.12275, 2026

   arXiv Bib HTML

   

   @article{ye2026onpolicycontext,
     title = {{On-Policy Context Distillation for Language Models}},
     author = {Ye, Tianzhu and Dong, Li and Wu, Xun and Huang, Shaohan and Wei, Furu},
     journal = {arXiv preprint arXiv:2602.12275},
     year = {2026},
   }

3. arXiv

   

   Online Experiential Learning for Language Models

   Tianzhu Ye, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, and Furu Wei

   arXiv preprint arXiv:2603.16856, 2026

   arXiv Bib HTML

   

   @article{ye2026online,
     title = {{Online Experiential Learning for Language Models}},
     author = {Ye, Tianzhu and Dong, Li and Dong, Qingxiu and Wu, Xun and Huang, Shaohan and Wei, Furu},
     journal = {arXiv preprint arXiv:2603.16856},
     year = {2026},
   }

4. arXiv

   

   SlideSparse: Fast and Flexible (2N-2): 2N Structured Sparsity

   Hanyong Shao, Yingbo Hao, Ting Song, Yan Xia, Di Zhang, Shaohan Huang, and 7 more authors

   arXiv preprint arXiv:2603.05232, 2026

   arXiv Bib HTML Code

   

   @article{shao2026slidesparse,
     title = {{SlideSparse: Fast and Flexible (2N-2): 2N Structured Sparsity}},
     author = {Shao, Hanyong and Hao, Yingbo and Song, Ting and Xia, Yan and Zhang, Di and Huang, Shaohan and Wu, Xun and Xu, Songchen and Xu, Le and Dong, Li and Chi, Zewen and Zou, Yi and Wei, Furu},
     journal = {arXiv preprint arXiv:2603.05232},
     year = {2026},
   }

5. ACL

   

   Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts

   Di Zhang, Xun Wu, Shaohan Huang, Lingjie Jiang, Yaru Hao, Li Dong, and 3 more authors

   In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics, 2026

   Bib HTML

   

   @inproceedings{zhang2026stable,
     title = {{Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts}},
     author = {Zhang, Di and Wu, Xun and Huang, Shaohan and Jiang, Lingjie and Hao, Yaru and Dong, Li and Chi, Zewen and Sui, Zhifang and Wei, Furu},
     booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics},
     pages = {25446--25457},
     year = {2026},
   }

6. arXiv

   

   Sparse-BitNet: 1.58-Bit LLMs Are Naturally Friendly to Semi-Structured Sparsity

   Di Zhang, Xun Wu, Shaohan Huang, Yudong Wang, Hanyong Shao, Yingbo Hao, and 6 more authors

   arXiv preprint arXiv:2603.05168, 2026

   arXiv Bib HTML Code

   

   @article{zhang2026sparsebitnet,
     title = {{Sparse-BitNet: 1.58-Bit LLMs Are Naturally Friendly to Semi-Structured Sparsity}},
     author = {Zhang, Di and Wu, Xun and Huang, Shaohan and Wang, Yudong and Shao, Hanyong and Hao, Yingbo and Chi, Zewen and Dong, Li and Song, Ting and Xia, Yan and Sui, Zhifang and Wei, Furu},
     journal = {arXiv preprint arXiv:2603.05168},
     year = {2026},
   }

2025

1. NeurIPS

   

   Reward Reasoning Models

   Jiaxin Guo, Zewen Chi, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, and 1 more author

   In Advances in Neural Information Processing Systems, 2025

   Bib HTML

   

   @inproceedings{guo2025reward,
     title = {{Reward Reasoning Models}},
     author = {Guo, Jiaxin and Chi, Zewen and Dong, Li and Dong, Qingxiu and Wu, Xun and Huang, Shaohan and Wei, Furu},
     booktitle = {Advances in Neural Information Processing Systems},
     volume = {38},
     pages = {150477--150510},
     year = {2025},
   }

2. NeurIPS

   

   Think Only When You Need with Large Hybrid-Reasoning Models

   Lingjie Jiang^*, Xun Wu^*, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, and 4 more authors

   In Advances in Neural Information Processing Systems, 2025

   Bib HTML

   

   @inproceedings{jiang2025think,
     title = {{Think Only When You Need with Large Hybrid-Reasoning Models}},
     author = {Jiang, Lingjie and Wu, Xun and Huang, Shaohan and Dong, Qingxiu and Chi, Zewen and Dong, Li and Zhang, Xingxing and Lv, Tengchao and Cui, Lei and Wei, Furu},
     booktitle = {Advances in Neural Information Processing Systems},
     volume = {38},
     pages = {159355--159382},
     year = {2025},
   }

3. arXiv

   

   Black-Box On-Policy Distillation of Large Language Models

   Tianzhu Ye, Li Dong, Zewen Chi, Xun Wu, Shaohan Huang, and Furu Wei

   arXiv preprint arXiv:2511.10643, 2025

   arXiv Bib HTML

   

   @article{ye2025blackbox,
     title = {{Black-Box On-Policy Distillation of Large Language Models}},
     author = {Ye, Tianzhu and Dong, Li and Chi, Zewen and Wu, Xun and Huang, Shaohan and Wei, Furu},
     journal = {arXiv preprint arXiv:2511.10643},
     year = {2025},
   }

4. arXiv

   

   On-Policy RL with Optimal Reward Baseline

   Yaru Hao, Li Dong, Xun Wu, Shaohan Huang, Zewen Chi, and Furu Wei

   arXiv preprint arXiv:2505.23585, 2025

   arXiv Bib HTML Code

   

   @article{hao2025onpolicy,
     title = {{On-Policy RL with Optimal Reward Baseline}},
     author = {Hao, Yaru and Dong, Li and Wu, Xun and Huang, Shaohan and Chi, Zewen and Wei, Furu},
     journal = {arXiv preprint arXiv:2505.23585},
     year = {2025},
   }

5. EMNLP

   

   Textual Aesthetics in Large Language Models

   Lingjie Jiang, Shaohan Huang, Xun Wu, and Furu Wei

   In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

   Bib HTML

   

   @inproceedings{jiang2025textual,
     title = {{Textual Aesthetics in Large Language Models}},
     author = {Jiang, Lingjie and Huang, Shaohan and Wu, Xun and Wei, Furu},
     booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
     pages = {13801--13829},
     year = {2025},
   }

6. TOIS

   Unsupervised Video Moment Retrieval with Knowledge-Based Pseudo-Supervision Construction

   Guolong Wang, Xun Wu, Xun Tu, Zhaoyuan Liu, and Junchi Yan

   ACM Transactions on Information Systems, 2025

   Bib HTML

   

   @article{wang2025unsupervised,
     title = {{Unsupervised Video Moment Retrieval with Knowledge-Based Pseudo-Supervision Construction}},
     author = {Wang, Guolong and Wu, Xun and Tu, Xun and Liu, Zhaoyuan and Yan, Junchi},
     journal = {ACM Transactions on Information Systems},
     volume = {43},
     number = {1},
     pages = {1--26},
     year = {2025},
     publisher = {ACM},
   }

7. arXiv

   

   BitNet Distillation

   Xun Wu, Shaohan Huang, Wenhui Wang, Ting Song, Li Dong, Yan Xia, and 1 more author

   arXiv preprint arXiv:2510.13998, 2025

   arXiv Bib HTML Code

   

   @article{wu2025bitnet,
     title = {{BitNet Distillation}},
     author = {Wu, Xun and Huang, Shaohan and Wang, Wenhui and Song, Ting and Dong, Li and Xia, Yan and Wei, Furu},
     journal = {arXiv preprint arXiv:2510.13998},
     year = {2025},
   }

8. ICCV

   

   Rethinking DPO-Style Diffusion Aligning Frameworks

   Xun Wu, Shaohan Huang, Lingjie Jiang, and Furu Wei

   In IEEE/CVF International Conference on Computer Vision, 2025

   Bib HTML

   

   @inproceedings{wu2025rethinking,
     title = {{Rethinking DPO-Style Diffusion Aligning Frameworks}},
     author = {Wu, Xun and Huang, Shaohan and Jiang, Lingjie and Wei, Furu},
     booktitle = {IEEE/CVF International Conference on Computer Vision},
     pages = {18068--18077},
     year = {2025},
     publisher = {IEEE},
   }

9. arXiv

   

   The Era of Agentic Organization: Learning to Organize with Language Models

   Zewen Chi, Li Dong, Qingxiu Dong, Yaru Hao, Xun Wu, Shaohan Huang, and 1 more author

   arXiv preprint arXiv:2510.26658, 2025

   arXiv Bib HTML

   

   @article{chi2025agentic,
     title = {{The Era of Agentic Organization: Learning to Organize with Language Models}},
     author = {Chi, Zewen and Dong, Li and Dong, Qingxiu and Hao, Yaru and Wu, Xun and Huang, Shaohan and Wei, Furu},
     journal = {arXiv preprint arXiv:2510.26658},
     year = {2025},
   }

2024

1. ICLR

   

   Mixture of LoRA Experts

   Xun Wu, Shaohan Huang, and Furu Wei

   In International Conference on Learning Representations, 2024

   arXiv Bib HTML

   

   @inproceedings{wu2024mixture,
     title = {{Mixture of LoRA Experts}},
     author = {Wu, Xun and Huang, Shaohan and Wei, Furu},
     booktitle = {International Conference on Learning Representations},
     year = {2024},
   }

2. NeurIPS

   

   Multimodal Large Language Models Make Text-to-Image Generative Models Align Better

   Xun Wu, Shaohan Huang, Guolong Wang, Jing Xiong, and Furu Wei

   In Advances in Neural Information Processing Systems, 2024

   Bib HTML

   

   @inproceedings{wu2024multimodal,
     title = {{Multimodal Large Language Models Make Text-to-Image Generative Models Align Better}},
     author = {Wu, Xun and Huang, Shaohan and Wang, Guolong and Xiong, Jing and Wei, Furu},
     booktitle = {Advances in Neural Information Processing Systems},
     volume = {37},
     pages = {81287--81323},
     year = {2024},
   }

3. NeurIPS

   

   Multi-Head Mixture-of-Experts

   Xun Wu, Shaohan Huang, Wenhui Wang, Shuming Ma, Li Dong, and Furu Wei

   In Advances in Neural Information Processing Systems, 2024

   Bib HTML

   

   @inproceedings{wu2024multihead,
     title = {{Multi-Head Mixture-of-Experts}},
     author = {Wu, Xun and Huang, Shaohan and Wang, Wenhui and Ma, Shuming and Dong, Li and Wei, Furu},
     booktitle = {Advances in Neural Information Processing Systems},
     volume = {37},
     pages = {94073--94096},
     year = {2024},
   }

4. Inf. Sci.

   Progressive Reinforcement Learning for Video Summarization

   Guolong Wang, Xun Wu, and Junchi Yan

   Information Sciences, 2024

   Bib HTML

   

   @article{wang2024progressive,
     title = {{Progressive Reinforcement Learning for Video Summarization}},
     author = {Wang, Guolong and Wu, Xun and Yan, Junchi},
     journal = {Information Sciences},
     volume = {655},
     pages = {119888},
     year = {2024},
     publisher = {Elsevier},
   }

5. arXiv

   

   UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation

   Zixuan Li, Jing Xiong, Fanghua Ye, Chuanyang Zheng, Xun Wu, Jianqiao Lu, and 6 more authors

   arXiv preprint arXiv:2410.02719, 2024

   arXiv Bib HTML

   

   @article{li2024uncertaintyrag,
     title = {{UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation}},
     author = {Li, Zixuan and Xiong, Jing and Ye, Fanghua and Zheng, Chuanyang and Wu, Xun and Lu, Jianqiao and Wan, Zhongwei and Liang, Xiaodan and Li, Chengming and Sun, Zhenan and Kong, Lingpeng and Wong, Ngai},
     journal = {arXiv preprint arXiv:2410.02719},
     year = {2024},
   }

6. KDD

   The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs

   Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, and 3 more authors

   In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

   Bib HTML

   

   @inproceedings{wang2024heterophilic,
     title = {{The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs}},
     author = {Wang, Kun and Zhang, Guibin and Zhang, Xinnan and Fang, Junfeng and Wu, Xun and Li, Guohao and Pan, Shirui and Huang, Wei and Liang, Yuxuan},
     booktitle = {Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
     pages = {3164--3175},
     year = {2024},
   }

7. NeurIPS

   

   Boosting Text-to-Video Generative Model with MLLMs Feedback

   Xun Wu, Shaohan Huang, Guolong Wang, Jing Xiong, and Furu Wei

   In Advances in Neural Information Processing Systems, 2024

   Bib HTML

   

   @inproceedings{wu2024boosting,
     title = {{Boosting Text-to-Video Generative Model with MLLMs Feedback}},
     author = {Wu, Xun and Huang, Shaohan and Wang, Guolong and Xiong, Jing and Wei, Furu},
     booktitle = {Advances in Neural Information Processing Systems},
     volume = {37},
     pages = {139444--139469},
     year = {2024},
   }

8. arXiv

   

   MH-MoE: Multi-Head Mixture-of-Experts

   Shaohan Huang, Xun Wu, Shuming Ma, and Furu Wei

   arXiv preprint arXiv:2411.16205, 2024

   arXiv Bib HTML

   

   @article{huang2024mhmoe,
     title = {{MH-MoE: Multi-Head Mixture-of-Experts}},
     author = {Huang, Shaohan and Wu, Xun and Ma, Shuming and Wei, Furu},
     journal = {arXiv preprint arXiv:2411.16205},
     year = {2024},
   }

9. OpenReview

   UnComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference

   Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, and 5 more authors

   OpenReview, 2024

   Bib HTML

   

   @article{xiong2024uncomp,
     title = {{UnComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference}},
     author = {Xiong, Jing and Shen, Jianghan and Ye, Fanghua and Tao, Chaofan and Wan, Zhongwei and Lu, Jianqiao and Wu, Xun and Zheng, Chuanyang and Guo, Zhijiang and Kong, Lingpeng and Wong, Ngai},
     journal = {OpenReview},
     year = {2024},
   }

10. KDD

    Routing Evidence for Unseen Actions in Video Moment Retrieval

    Guolong Wang, Xun Wu, Zheng Qin, and Liangliang Shi

    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

    Bib HTML

    

    @inproceedings{wang2024routing,
      title = {{Routing Evidence for Unseen Actions in Video Moment Retrieval}},
      author = {Wang, Guolong and Wu, Xun and Qin, Zheng and Shi, Liangliang},
      booktitle = {Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
      pages = {3024--3035},
      year = {2024},
    }

11. IROS

    Kosmos-E: Learning to Follow Instruction for Robotic Grasping

    Zhi Wang, Xun Wu, Shaohan Huang, Li Dong, Wenhui Wang, Shuming Ma, and 1 more author

    In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

    Bib HTML Code

    

    @inproceedings{wang2024kosmose,
      title = {{Kosmos-E: Learning to Follow Instruction for Robotic Grasping}},
      author = {Wang, Zhi and Wu, Xun and Huang, Shaohan and Dong, Li and Wang, Wenhui and Ma, Shuming and Wei, Furu},
      booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
      pages = {9510--9517},
      year = {2024},
      publisher = {IEEE},
    }

12. ICASSP

    An Efficient Transformer for Demosaicing via Compressed Multi-Branch Attention Mechanism

    Xun Wu, Fanqing Meng, Yaqi Wu, Jiawei Zhang, and Feng Zhang

    In IEEE International Conference on Acoustics, Speech and Signal Processing, 2024

    Bib HTML

    

    @inproceedings{wu2024efficient,
      title = {{An Efficient Transformer for Demosaicing via Compressed Multi-Branch Attention Mechanism}},
      author = {Wu, Xun and Meng, Fanqing and Wu, Yaqi and Zhang, Jiawei and Zhang, Feng},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing},
      pages = {2575--2576},
      year = {2024},
      publisher = {IEEE},
    }

2023

1. CVPRW

   

   MIPI 2023 Challenge on RGBW Remosaic: Methods and Results

   Qianhui Sun, Qingyu Yang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, and 28 more authors

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023

   Bib HTML

   

   @inproceedings{sun2023mipi,
     title = {{MIPI 2023 Challenge on RGBW Remosaic: Methods and Results}},
     author = {Sun, Qianhui and Yang, Qingyu and Li, Chongyi and Zhou, Shangchen and Feng, Ruicheng and Dai, Yuekun and Sun, Wenxiu and Zhu, Qingpeng and Loy, Chen Change and Gu, Jinwei and Liu, Yuqing and Yu, Hongyuan and Yu, Weichen and Dong, Zhen and Han, Binnan and Jia, Qi and Yin, Xuanwu and Zuo, Kunlong and Wu, Yaqi and Fan, Zhihao and Meng, Fanqing and Wu, Xun and Zhang, Jiawei and Zhang, Feng and Han, Mingyan and Luo, Jinting and Wu, Qi and Jiang, Ting and Jiang, Chengzhi and Lin, Wenjie and Li, Xinpeng and Yu, Lei and Fan, Haoqiang and Liu, Shuaicheng},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
     pages = {2878--2885},
     year = {2023},
     publisher = {IEEE},
   }

2. CVPRW

   

   OTST: A Two-Phase Framework for Joint Denoising and Remosaicing in RGBW CFA

   Zhihao Fan, Xun Wu, Fanqing Meng, Yaqi Wu, and Feng Zhang

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023

   Bib HTML

   

   @inproceedings{fan2023otst,
     title = {{OTST: A Two-Phase Framework for Joint Denoising and Remosaicing in RGBW CFA}},
     author = {Fan, Zhihao and Wu, Xun and Meng, Fanqing and Wu, Yaqi and Zhang, Feng},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
     pages = {2833--2842},
     year = {2023},
     publisher = {IEEE},
   }

3. IPM

   Reducing 0S Bias in Video Moment Retrieval with a Circular Competence-Based Captioner

   Guolong Wang, Xun Wu, Zhaoyuan Liu, and Zheng Qin

   Information Processing & Management, 2023

   Bib HTML

   

   @article{wang2023reducing,
     title = {{Reducing 0S Bias in Video Moment Retrieval with a Circular Competence-Based Captioner}},
     author = {Wang, Guolong and Wu, Xun and Liu, Zhaoyuan and Qin, Zheng},
     journal = {Information Processing \& Management},
     volume = {60},
     number = {2},
     pages = {103147},
     year = {2023},
     publisher = {Pergamon},
   }

4. ICIP

   Joint Demosaicing and Denoising with Gradient Guidance in Quad Bayer CFA

   Xun Wu, Yaqi Wu, Jiawei Zhang, Feng Zhang, and Jimmy Ren

   In IEEE International Conference on Image Processing, 2023

   Bib HTML

   

   @inproceedings{wu2023joint,
     title = {{Joint Demosaicing and Denoising with Gradient Guidance in Quad Bayer CFA}},
     author = {Wu, Xun and Wu, Yaqi and Zhang, Jiawei and Zhang, Feng and Ren, Jimmy},
     booktitle = {IEEE International Conference on Image Processing},
     pages = {256--260},
     year = {2023},
     publisher = {IEEE},
   }

2022

1. CVPRW

   

   NTIRE 2022 Spectral Demosaicing Challenge and Data Set

   Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yaqi Wu, and 31 more authors

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

   Bib HTML

   

   @inproceedings{arad2022ntire,
     title = {{NTIRE 2022 Spectral Demosaicing Challenge and Data Set}},
     author = {Arad, Boaz and Timofte, Radu and Yahel, Rony and Morag, Nimrod and Bernat, Amir and Wu, Yaqi and Wu, Xun and Fan, Zhihao and Xia, Chenjie and Zhang, Feng and Liu, Shuai and Li, Yongqiang and Feng, Chaoyu and Lei, Lei and Zhang, Mingwei and Feng, Kai and Zhang, Xun and Yao, Jiaxin and Zhao, Yongqiang and Ma, Suina and He, Fan and Dong, Yangyang and Yu, Shufang and Qiu, Difa and Liu, Jinhui and Bi, Mengzhao and Song, Beibei and Sun, WenFang and Zheng, Jiesi and Zhao, Bowen and Cao, Yanpeng and Yang, Jiangxin and Cao, Yanlong and Kong, Xiangyu and Yu, Jingbo and Xue, Yuanyang and Xie, Zheng},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
     pages = {881--895},
     year = {2022},
     publisher = {IEEE},
   }

2. ACM MM

   Prompt-Based Zero-Shot Video Moment Retrieval

   Guolong Wang, Xun Wu, Zhaoyuan Liu, and Junchi Yan

   In Proceedings of the 30th ACM International Conference on Multimedia, 2022

   Bib HTML

   

   @inproceedings{wang2022prompt,
     title = {{Prompt-Based Zero-Shot Video Moment Retrieval}},
     author = {Wang, Guolong and Wu, Xun and Liu, Zhaoyuan and Yan, Junchi},
     booktitle = {Proceedings of the 30th ACM International Conference on Multimedia},
     pages = {413--421},
     year = {2022},
   }

3. ECCVW

   Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report

   Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, and 32 more authors

   In Computer Vision – ECCV 2022 Workshops, 2022

   Bib HTML

   

   @inproceedings{ignatov2022learned,
     title = {{Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI \& AIM 2022 Challenge: Report}},
     author = {Ignatov, Andrey and Timofte, Radu and Liu, Shuai and Feng, Chaoyu and Bai, Furui and Wang, Xiaotao and Lei, Lei and Yi, Ziyao and Xiang, Yan and Liu, Zibin and Li, Shaoqing and Shi, Keming and Kong, Dehui and Xu, Ke and Kwon, Minsu and Wu, Yaqi and Zheng, Jiesi and Fan, Zhihao and Wu, Xun and Zhang, Feng and No, Albert and Cho, Minhyeok and Chen, Zewen and Zhang, Xiaze and Li, Ran and Wang, Juan and Wang, Zhiming and Conde, Marcos V. and Choi, Ui-Jin and Perevozchikov, Georgy and Ershov, Egor and Hui, Zheng and Dong, Mengchuan and Lou, Xin and Zhou, Wei and Pang, Cong and Qin, Haina and Cai, Mingxuan},
     booktitle = {Computer Vision -- ECCV 2022 Workshops},
     pages = {44--70},
     year = {2022},
     publisher = {Springer Nature Switzerland},
   }

4. ECCVW

   MIPI 2022 Challenge on Quad-Bayer Re-Mosaic: Dataset and Report

   Qingyu Yang, Guang Yang, Jun Jiang, Chongyi Li, Ruicheng Feng, Shangchen Zhou, and 40 more authors

   In Computer Vision – ECCV 2022 Workshops, 2022

   Bib HTML

   

   @inproceedings{yang2022mipi,
     title = {{MIPI 2022 Challenge on Quad-Bayer Re-Mosaic: Dataset and Report}},
     author = {Yang, Qingyu and Yang, Guang and Jiang, Jun and Li, Chongyi and Feng, Ruicheng and Zhou, Shangchen and Sun, Wenxiu and Zhu, Qingpeng and Loy, Chen Change and Gu, Jinwei and Wang, Zhen and Li, Daoyu and Zhang, Yuzhe and Peng, Lintao and Chang, Xuyang and Zhang, Yinuo and Wu, Yaqi and Wu, Xun and Fan, Zhihao and Xia, Chengjie and Zhang, Feng and Zeng, Haijin and Feng, Kai and Zhao, Yongqiang and Luong, Hiep Quang and Aelterman, Jan and Truong, Anh Minh and Philips, Wilfried and Liu, Xiaohong and Jia, Jun and Sun, Hanchi and Zhai, Guangtao and Xiao, Longan and Xu, Qihang and Jiang, Ting and Wu, Qi and Jiang, Chengzhi and Han, Mingyan and Li, Xinpeng and Lin, Wenjie and Li, Youwei and Fan, Haoqiang and Liu, Shuaicheng and Wu, Rongyuan and Sun, Lingchen and Yi, Qiaosi},
     booktitle = {Computer Vision -- ECCV 2022 Workshops},
     pages = {21--35},
     year = {2022},
     publisher = {Springer Nature Switzerland},
   }

5. ECCVW

   Learning to Joint Remosaic and Denoise in Quad Bayer CFA via Universal Multi-Scale Channel Attention Network

   Xun Wu, Zhihao Fan, Jiesi Zheng, Yaqi Wu, and Feng Zhang

   In Computer Vision – ECCV 2022 Workshops, 2022

   Bib HTML

   

   @inproceedings{wu2022joint,
     title = {{Learning to Joint Remosaic and Denoise in Quad Bayer CFA via Universal Multi-Scale Channel Attention Network}},
     author = {Wu, Xun and Fan, Zhihao and Zheng, Jiesi and Wu, Yaqi and Zhang, Feng},
     booktitle = {Computer Vision -- ECCV 2022 Workshops},
     pages = {147--160},
     year = {2022},
     publisher = {Springer Nature Switzerland},
   }