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yuanqidu committed Aug 17, 2024
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Expand Up @@ -26,10 +26,9 @@ Recent Talks and Lectures:
* Structure-based Drug Design with Equivariant Diffusion Models
* @Cornell Yu Lab (Computational Biology), in person, Nov 2022

* [A New Perspective on Building Efficient and Expressive 3D Equivariant Graph Neural Networks](https://m2d2.io/talks/logg/a-new-perspective-on-building-efficient-and-expressive-3d-equivariant-graph-neural-networks/), @LoGG Reading Group, virtual, May 2023; Oral Presentation @TAGML-ICML, in person, July 2023.
* Structure-based Drug Design with Equivariant Diffusion Models, @Department of Computational Biology (Yu Lab), Cornell, in person, Nov 2022.
<!-- * [A New Perspective on Building Efficient and Expressive 3D Equivariant Graph Neural Networks](https://m2d2.io/talks/logg/a-new-perspective-on-building-efficient-and-expressive-3d-equivariant-graph-neural-networks/), @LoGG Reading Group, virtual, May 2023; Oral Presentation @TAGML-ICML, in person, July 2023.
* Disentangled Spatiotemporal Graph Generative Models, Oral Presentation @AAAI, virtual, Feb 2022.
* Towards Steerable and Interpretable Chemical Space Exploration, Oral Presentation @ML4Molecules, virtual, Dec 2021.
* Towards Steerable and Interpretable Chemical Space Exploration, Oral Presentation @ML4Molecules, virtual, Dec 2021. -->



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