科研实习 | 西湖大学人工智能实验室AI4Science小组招收科研实习生

研究内容

1. 蛋白质和RNA大分子的AI建模，近期研究基础如下：

[1] PiFold: Toward Effective and Efficient Protein Inverse Folding. ICLR 2023.

[2] ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics. NeurIPS 2023.

[3] Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer. AAAI 2024.

[4] KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement. ICLR 2024.

[5] RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design. ICLR 2024.

[6] Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective. ICML 2024.

[7] A Graph is Worth Words: Euclideanizing Graph using Pure Transformer. ICML 2024.

2. 视频预测及其他方向，近期研究基础如下：

[6] SimVP: Simpler Yet Better Video Prediction. CVPR 2022.

[7] Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CVPR 2023.

[8] OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. NeurIPS 2023.

[9] A Survey on Generative Diffusion Model. TKDE.

[10] General point model with autoencoding and autoregressive. CVPR 2024.

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