Search Results for author: Bin Lu

Found 6 papers, 5 papers with code

Graph Out-of-Distribution Generalization with Controllable Data Augmentation

no code implementations16 Aug 2023 Bin Lu, Xiaoying Gan, Ze Zhao, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou

The spurious correlations over hybrid distribution deviation degrade the performance of previous GNN methods and show large instability among different datasets.

Data Augmentation Graph Classification +2

Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation

1 code implementation27 May 2022 Bin Lu, Xiaoying Gan, Lina Yang, Weinan Zhang, Luoyi Fu, Xinbing Wang

Instead of replacing and retraining the fully connected neural network classifer, Geometer predicts the label of a node by finding the nearest class prototype.

Few-Shot Class-Incremental Learning Incremental Learning +2

Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer

1 code implementation27 May 2022 Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang

To address this challenge, cross-city knowledge transfer has shown its promise, where the model learned from data-sufficient cities is leveraged to benefit the learning process of data-scarce cities.

Few-Shot Learning Graph Learning +2

PP-LCNet: A Lightweight CPU Convolutional Neural Network

8 code implementations17 Sep 2021 Cheng Cui, Tingquan Gao, Shengyu Wei, Yuning Du, Ruoyu Guo, Shuilong Dong, Bin Lu, Ying Zhou, Xueying Lv, Qiwen Liu, Xiaoguang Hu, dianhai yu, Yanjun Ma

We propose a lightweight CPU network based on the MKLDNN acceleration strategy, named PP-LCNet, which improves the performance of lightweight models on multiple tasks.

Image Classification object-detection +2

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