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2024/6/19 11:37



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1.Automatic Chain of Thought Prompting in Large Language Models,张倬胜,上海交通大学、亚马逊云科技,The International Conference on Learning Representations (ICLR 2023)

2.Ferroelectric-defined reconfigurable homojunctions for in-memory sensing and computing,吴广健,复旦大学,Nature Materials,2023

3.Geometry-enhanced pretraining on interatomic potentials,崔涛镛,上海人工智能实验室,Nature Machine Intelligence,2024

4.Gradient Compression Supercharged High-Performance Data Parallel DNN Training,白有辉,

中国科学技术大学, Symposium on Operating Systems Principles,2021

5. HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face,沈永亮,浙江大学,Advances in Neural Information Processing Systems (NIPS 2023)

6. Iterative human and automated identification of wildlife images,苗仲奇,UC Berkeley,Nature Machine Intelligence,2021

7. NEXT-GPT: Any-to-Any Multimodal LLM,吴胜琼,新加坡国立大学,International Conference on Machine Learning (ICML 2024)

8. Point Transformer,赵恒爽,牛津大学、香港大学,International Conference on Computer Vision (ICCV 2021)

9. Skilful Nowcasting of Extreme Precipitation with NowcastNet,张育宸,清华大学,Nature,2023

10. Virtual-scanning light-field microscopy for  robust snapshot high-resolution volumetric imaging,卢志,清华大学, Nature Methods,2023



1. Deep Model Reassembly,阳行意,新加坡国立大学,Conference on Neural Information Processing Systems(NeurIPS 2022)

2. GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data,柴成亮,北京理工大学,Proceedings of the ACM on Management of Data(SIGMOD 2023)

3. Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model,吴海旭,清华大学,Nature Machine Intelligence,2023

4. I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction,周晓根,密西根大学、浙江工业大学,Nature Protocols,2022

5. MVImgNet: A Large-scale Dataset of Multi-view Images,许牧天,香港中文大学(深圳),IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)

6. Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning,白辰甲,上海人工智能实验室、西北工业大学深圳研究院,Artificial Intelligence,2024

7. PiCO: Contrastive Label Disambiguation for Partial Label Learning,王皓波,浙江大学,The International Conference on Learning Representations (ICLR 2022)

8. Rhythmic Gesticulator: Rhythm-Aware Co-Speech Gesture Synthesis with Hierarchical Neural Embeddings,敖腾隆,北京大学,ACM Transactions on Graphics,2022

9. SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks,杨凌霄,中山大学,International Conference on Machine Learning (ICML 2021)

10. UDGAN: A new urban design inspiration approach driven by using generative adversarial networks,甘惟,同济大学,Journal of Computational Design and Engineering,2024




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