Cong Liu (刘聪)

I am a second year PhD candidate at AMLab and AI4Science Lab at University of Amsterdam. My PhD project is about using deep learning tools for protein stabilization and peptide design. I work with Dr.Patrick Forré. I also collaborate with Janssen Vaccine Design. Prior to that, I obtained my Master's degree from University College London in Data Science and Machine Learning, and Bachelor's joint degree from UESTC (电子科技大学) and University of Glasgow in Communication Engineering.

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[Apr 2025] Our paper on Clifford Diffusion Models was accepted by ICLR 2025 FPI workshop.

[Dec 2024] I will be joining ByteDance AML AI4Science team as a research scientist intern!

[Aug 2024] I am happy to give a presentation related to Clifford Neural Nets and Message Passing Simplicial Networks at AGACSE2024.

[Jun. 2024] Our paper on Faster and Better Clifford GNNs was accepted by ICML 2024 GRaM workshop.

[Feb. 2024] Our paper "Clifford Group Equivariant Simplicial Message Passing Networks" was accepted by ICLR 2024!

I'm interested in AI4Science, Machine Learning, Geometric Deep Learning, Protein Engineering, Generative Modelling and Efficient Deep Learning.

This paper presents diffusion models applied on Clifford grades for molecular generation.

This paper focuses on faster and performance-wise better Clifford GNNs.

This paper proposes a general framework that considers both topological and geometric informatiom in general geometric graphs by leveraging Clifford group equivariant networks and simplicial message passing networks.