Search Results for author: Haoyang Li

Found 5 papers, 2 papers with code

AutoGL: A Library for Automated Graph Learning

1 code implementation11 Apr 2021 Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu

To fill this gap, we present Automated Graph Learning (AutoGL), the first library for automated machine learning on graphs.

AutoML Feature Engineering +1

Noise Modulation: Let Your Model Interpret Itself

no code implementations19 Mar 2021 Haoyang Li, Xinggang Wang

Given the great success of Deep Neural Networks(DNNs) and the black-box nature of it, the interpretability of these models becomes an important issue. The majority of previous research works on the post-hoc interpretation of a trained model. But recently, adversarial training shows that it is possible for a model to have an interpretable input-gradient through training. However, adversarial training lacks efficiency for interpretability. To resolve this problem, we construct an approximation of the adversarial perturbations and discover a connection between adversarial training and amplitude modulation.

Quantitative Evaluations on Saliency Methods: An Experimental Study

no code implementations31 Dec 2020 Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Yuanwei Song, Caleb Chen Cao, Lei Chen

It has been long debated that eXplainable AI (XAI) is an important topic, but it lacks rigorous definition and fair metrics.

Billion-scale Network Embedding with Iterative Random Projection

2 code implementations7 May 2018 Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu

Network embedding, which learns low-dimensional vector representation for nodes in the network, has attracted considerable research attention recently.

Distributed Computing Link Prediction +2

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