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Shunwang Gong
Ph.D. student @ Imperial College London
shunwang.gong16@imperial.ac.uk

I’m currently a 3rd-year PhD student in the Department of Computing, Imperial College London, and I’m very fortunate to be co-supervised by Prof Michael Bronstein and Prof Stefanos Zafeiriou. I have a broad interest in studying representation learning on non-Euclidean geometric domains (e.g., graphs, meshes, and point clouds), along with a wide range of applications from 3D computer vision, generative models, 3D shape models, graph neural networks and bioinformatics.

Selected Publications

See my google scholar for a full list
Predicting anticancer hyperfoods with graph convolutional networks, Human Genomics 2021
Guadalupe Gonzalez , 
Shunwang Gong , 
Ivan Laponogov , 
Michael Bronstein , 
Kirill Veselkov
paper
Shape my face:registering 3D face scans by surface-to-surface translation, IJCV 2021
Mehdi Bahri , 
Eimear O’Sullivan , 
Shunwang Gong , 
Feng Liu , 
Xiaoming Liu , 
Michael M Bronstein , 
Stefanos Zafeiriou
arXiv code
Geometrically Principled Connections in Graph Neural Networks, CVPR 2020
Shunwang Gong* , 
Mehdi Bahri* , 
Michael M Bronstein , 
Stefanos Zafeiriou
arXiv
Attributed random walk as matrix factorization, NeurIPS-W 2019
Lei Chen , 
Shunwang Gong , 
Joan Bruna , 
Michael Bronstein
paper code
Graph Attentional Autoencoder for Anticancer Hyperfood Prediction, NeurIPS-W 2019
Guadalupe Gonzalez* , 
Shunwang Gong* , 
Ivan Laponogov , 
Kirill Veselkov , 
Michael Bronstein
arXiv
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator, ICCV-W 2019
Shunwang Gong , 
Lei Chen , 
Michael Bronstein , 
Stefanos Zafeiriou
arXiv code
Geometric Deep Learning, Master's Thesis 2018
Shunwang Gong
paper

Teaching

Teaching Assistant:

Miscellaneous

I like sharing and discussing ideas or thoughts regarding a variety of things with other people. In my spare time, I enjoy listening to music, watching movies, taking pictures, reading, running, exploring restaurants and the world.