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Bryan Hooi
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RETEXO: Scalable Neural Network Training over Distributed Graphs


Mar 08, 2023
Aashish Kolluri, Sarthak Choudhary, Bryan Hooi, Prateek Saxena

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Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness


Feb 06, 2023
Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi

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* European Conference on Computer Vision 2022 
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Do We Really Need Graph Neural Networks for Traffic Forecasting?


Jan 30, 2023
Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann

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A Generalization of ViT/MLP-Mixer to Graphs


Dec 27, 2022
Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson

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Expanding Small-Scale Datasets with Guided Imagination


Dec 08, 2022
Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng

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Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation


Nov 29, 2022
Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi

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* Transactions on Machine Learning Research 08/2022 
 * Published in Transactions on Machine Learning Research (TMLR) 2022 
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Reachability-Aware Laplacian Representation in Reinforcement Learning


Oct 24, 2022
Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang

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MGNNI: Multiscale Graph Neural Networks with Implicit Layers


Oct 15, 2022
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao

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* NeurIPS 2022 
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