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20182023
most citedTensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism

45 citations · 208 across the 17 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.IR2020

The item selection problem for user cold-start recommendation

Yitong Meng, Jie Liu, Xiao Yan +1

When a new user just signs up on a website, we usually have no information about him/her, i.e. no interaction with items, no user profile and no social links with other users. Unde…

cs.DB2020★ 2 cited

Hierarchical Graph Matching Network for Graph Similarity Computation

Haibo Xiu, Xiao Yan, Xiaoqiang Wang +2

Graph edit distance / similarity is widely used in many tasks, such as graph similarity search, binary function analysis, and graph clustering. However, computing the exact graph e…

cs.DC2020★ 45 cited

TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism

Zhenkun Cai, Kaihao Ma, Xiao Yan +5

A good parallelization strategy can significantly improve the efficiency or reduce the cost for the distributed training of deep neural networks (DNNs). Recently, several methods h…

cs.LG2020★ 8 cited

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs

Han Yang, Xiao Yan, Xinyan Dai +2

Graph neural networks (GNNs) have received much attention recently because of their excellent performance on graph-based tasks. However, existing research on GNNs focuses on design…

cs.DB2020★ 27 cited

Convolutional Embedding for Edit Distance

Xinyan Dai, Xiao Yan, Kaiwen Zhou +3

Edit-distance-based string similarity search has many applications such as spell correction, data de-duplication, and sequence alignment. However, computing edit distance is known…