15 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.LG2024
AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer
Jinhui Yuan, Shan Lu, Peibo Duan +1
Recently, heterogeneous graph neural networks (HGNNs) have achieved impressive success in representation learning by capturing long-range dependencies and heterogeneity at the node…
cs.LG2023
Coop: Memory is not a Commodity
Jianhao Zhang, Shihan Ma, Peihong Liu +1
Tensor rematerialization allows the training of deep neural networks (DNNs) under limited memory budgets by checkpointing the models and recomputing the evicted tensors as needed.…
stat.ML2014★ 15 cited
LightLDA: Big Topic Models on Modest Compute Clusters
Jinhui Yuan, Fei Gao, Qirong Ho +6
When building large-scale machine learning (ML) programs, such as big topic models or deep neural nets, one usually assumes such tasks can only be attempted with industrial-sized c…