Search Results for author: Junwei Deng

Found 5 papers, 3 papers with code

Computational Copyright: Towards A Royalty Model for Music Generative AI

no code implementations11 Dec 2023 Junwei Deng, Jiaqi Ma

Our methodology involves a detailed analysis of existing royalty models in platforms like Spotify and YouTube, and adapting these to the unique context of AI-generated music.

Music Generation

BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster

1 code implementation CVPR 2022 Jason Dai, Ding Ding, Dongjie Shi, Shengsheng Huang, Jiao Wang, Xin Qiu, Kai Huang, Guoqiong Song, Yang Wang, Qiyuan Gong, Jiaming Song, Shan Yu, Le Zheng, Yina Chen, Junwei Deng, Ge Song

To address this challenge, we have open sourced BigDL 2. 0 at https://github. com/intel-analytics/BigDL/ under Apache 2. 0 license (combining the original BigDL and Analytics Zoo projects); using BigDL 2. 0, users can simply build conventional Python notebooks on their laptops (with possible AutoML support), which can then be transparently accelerated on a single node (with up-to 9. 6x speedup in our experiments), and seamlessly scaled out to a large cluster (across several hundreds servers in real-world use cases).

AutoML Distributed Computing +1

Subgroup Generalization and Fairness of Graph Neural Networks

1 code implementation NeurIPS 2021 Jiaqi Ma, Junwei Deng, Qiaozhu Mei

Despite enormous successful applications of graph neural networks (GNNs), theoretical understanding of their generalization ability, especially for node-level tasks where data are not independent and identically-distributed (IID), has been sparse.

Fairness

Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem

2 code implementations21 Jun 2021 Jiaqi Ma, Junwei Deng, Qiaozhu Mei

This connection not only enhances our understanding on the problem of adversarial attack on GNNs, but also allows us to propose a group of effective and practical attack strategies.

Adversarial Attack

Black-Box Adversarial Attacks on Graph Neural Networks as An Influence Maximization Problem

no code implementations1 Jan 2021 Jiaqi Ma, Junwei Deng, Qiaozhu Mei

This connection not only enhances our understanding on the problem of adversarial attack on GNNs, but also allows us to propose a group of effective black-box attack strategies.

Adversarial Attack

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