20 must-read papers! 2023 World Artificial Intelligence Conference Youth Excellent Paper Award announced

In February 2023, the Notice on Recommending the Entry Papers of the "2023 World Artificial Intelligence Conference Youth Excellent Paper Award" was released, and the collection of young outstanding papers in the field of artificial intelligence was carried out for universities, research institutes and enterprises around the world. By the end of the call for papers, a total of 235 comments had been received from domestic and foreign references, including internationally renowned universities, scientific research institutions and enterprises.

After the preliminary evaluation, re-evaluation and final evaluation, 10 papers for the Youth Excellent Paper Award of the 2023 World Artificial Intelligence Conference and 10 papers for the nomination award were finally selected. The announcement is as follows:

2023 World Artificial Intelligence Conference Youth Outstanding Paper Award

(10 papers in alphabetical order by English title)

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

Finding key players in complex networks through deep reinforcement learning, Changjun Fan, National University of Defense Technology, 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, Hansen Zhong, University of Science and Technology of China, 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)

Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications, Jintao, Shanghai University, National University of Singapore, Nature Communications 2020

2023 World Artificial Intelligence Conference Youth Outstanding Paper Nomination Award

(10 papers in alphabetical order by English title)

CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-lingual NLP, Qin Libo, Harbin Institute of Technology, International Joint Conference on Artificial Intelligence (IJCAI2020)

DropMessage: Unifying Random Dropping for Graph Neural Networks, Taoran Fang, Zhejiang University, AAAI-23

3. EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation, Hansheng Chen, Tongji University, Alibaba Dharma Lab, IEEE/CVF Computer Vision and Pattern Recognition Conference2022

4. Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs, Hu Qinghao, Shanghai Artificial Intelligence Lab, Nanyang Technological University, Singapore, (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, Ruiming Lu, Shanghai Jiao Tong University, Alibaba, 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, Xuejun Qian, University of Southern California, Nature Biomedical Engineering 2021

8. RepVGG: Making VGG-style ConvNets Great Again, Xiaohan Ding, Tsinghua University, CVPR 2021

9) Simple and Deep Graph Convolutional Networks, Ming Chen, Chinese Minmin University, International Conference on Machine Learning 2020

10. Towards Robust Blind Face Restoration with Codebook Lookup Transformer, Shangchen Chow, Nanyang Technological University, Singapore Neural Information Processing Systems (NeurIPS2022)