20篇必读论文！2023世界人工智能大会青年优秀论文奖公示

2023年2月，《关于推荐“2023世界人工智能大会青年优秀论文奖”参评论文的通知》发布，面向全球高校、科研院所、企业开展人工智能领域青年优秀论文征集活动。至征稿截止，共收到海内外参评论文235篇，包括国际相关知名高校、科研机构、企业。

经初评、复评、终评，最终评选出2023世界人工智能大会青年优秀论文奖论文10篇，提名奖论文10篇。公示如下：

2023世界人工智能大会青年优秀论文奖

（按论文英文题目首字母排序，共10篇）

1. ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing，杨燕，西安交通大学，IEEE Transactions on Pattern Analysis and Machine Intelligence 2020

2. Finding key players in complex networks through deep reinforcement learning，范长俊，国防科技大学，Nature Machine Intelligence 2020

3. Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning，张云蔚，剑桥大学，Nature Communications 2020

4. Parameter-efficient fine-tuning of large-scale pre-trained language models，丁宁，清华大学，Nature Machine Intelligence 2023

5. Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions，王文海，南京大学，IEEE/CVF International Conference on Computer Vision (ICCV2021)

6. Quantum computational advantage using photons，钟翰森，中国科学技术大学，Science 2020

7. Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers，郑思晓，复旦大学，IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2021)

8. SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment，原致远，清华大学，Nature Methods2021

9. SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers，谢恩泽，香港大学，Advances in Neural Information Processing Systems 34 (NeurIPS 2021)

10. Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications，金滔，上海大学、新加坡国立大学， Nature Communications2020

2023世界人工智能大会青年优秀论文提名奖

（按论文英文题目首字母排序，共10篇）

1. CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP，覃立波，哈尔滨工业大学，International Joint Conference on Artificial Intelligence (IJCAI2020)

2. DropMessage: Unifying Random Dropping for Graph Neural Networks，方陶然，浙江大学，AAAI-23

3. EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation，陈涵晟，同济大学，阿里巴巴达摩实验室，IEEE/CVF Computer Vision and Pattern Recognition Conference2022

4. Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs，胡擎昊，上海人工智能实验室，新加坡南洋理工大学，(ASPLOS '23) The 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems

5. Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans，彭思达，浙江大学，IEEE/CVF Conference on Computer Vision and Pattern Recognition2021

6. Perseus: A Fail-Slow Detection Framework for Cloud Storage Systems，鲁瑞明，上海交通大学、阿里巴巴，USENIX Conference on File and Storage Technologies (FAST2023)

7. Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning，钱学骏，南加利福尼亚大学，Nature Biomedical Engineering2021

8. RepVGG: Making VGG-style ConvNets Great Again，丁霄汉，清华大学，CVPR 2021

9. Simple and Deep Graph Convolutional Networks，陈明，中国人民大学，International Conference on Machine Learning2020

10. Towards Robust Blind Face Restoration with Codebook Lookup Transformer，周尚辰，新加坡南洋理工大学，Neural Information Processing Systems (NeurIPS2022)