20篇必讀論文！2023世界人工智能大會青年優秀論文獎公示

2023年2月，《關於推薦“2023世界人工智能大會青年優秀論文獎”參評論文的通知》發佈，面向全球高校、科研院所、企業開展人工智能領域青年優秀論文徵集活動。至徵稿截止，共收到海內外參評論文235篇，包括國際相關知名高校、科研機構、企業。

經初評、複評、終評，最終評選出2023世界人工智能大會青年優秀論文獎論文10篇，提名獎論文10篇。公示如下：

2023世界人工智能大會青年優秀論文獎

（按論文英文題目首字母排序，共10篇）

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

2. Finding key players in complex networks through deep reinforcement learning，範長俊，國防科技大學，Nature Machine Intelligence 2020

3. Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning，張雲蔚，劍橋大學，Nature Communications 2020

4. Parameter-efficient fine-tuning of large-scale pre-trained language models，丁寧，清華大學，Nature Machine Intelligence 2023

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

6. Quantum computational advantage using photons，鍾翰森，中國科學技術大學，Science 2020

7. Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers，鄭思曉，復旦大學，IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2021)

8. SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment，原致遠，清華大學，Nature Methods2021

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

10. Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications，金滔，上海大學、新加坡國立大學， Nature Communications2020

2023世界人工智能大會青年優秀論文提名獎

（按論文英文題目首字母排序，共10篇）

1. CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP，覃立波，哈爾濱工業大學，International Joint Conference on Artificial Intelligence (IJCAI2020)

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

3. EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation，陳涵晟，同濟大學，阿里巴巴達摩實驗室，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，上海人工智能實驗室，新加坡南洋理工大學，(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，彭思達，浙江大學，IEEE/CVF Conference on Computer Vision and Pattern Recognition2021

6. Perseus: A Fail-Slow Detection Framework for Cloud Storage Systems，魯瑞明，上海交通大學、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，錢學駿，南加利福尼亞大學，Nature Biomedical Engineering2021

8. RepVGG: Making VGG-style ConvNets Great Again，丁霄漢，清華大學，CVPR 2021

9. Simple and Deep Graph Convolutional Networks，陳明，中國人民大學，International Conference on Machine Learning2020

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