Search Results for author: Hong Huang

Found 15 papers, 4 papers with code

Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections

1 code implementation5 Jun 2024 Zihan Luo, Hong Huang, Yongkang Zhou, Jiping Zhang, Nuo Chen

Despite the remarkable capabilities demonstrated by Graph Neural Networks (GNNs) in graph-related tasks, recent research has revealed the fairness vulnerabilities in GNNs when facing malicious adversarial attacks.

Fairness

Music Style Transfer With Diffusion Model

no code implementations23 Apr 2024 Hong Huang, Yuyi Wang, Luyao Li, Jun Lin

Previous studies on music style transfer have mainly focused on one-to-one style conversion, which is relatively limited.

Audio Generation Music Style Transfer +1

FedMef: Towards Memory-efficient Federated Dynamic Pruning

no code implementations CVPR 2024 Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu

To address these challenges, we propose FedMef, a novel and memory-efficient federated dynamic pruning framework.

Federated Learning Network Pruning

GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability

1 code implementation7 Mar 2024 Zihan Luo, Xiran Song, Hong Huang, Jianxun Lian, Chenhao Zhang, Jinqi Jiang, Xing Xie

To evaluate and enhance the graph understanding abilities of LLMs, in this paper, we propose a benchmark named GraphInstruct, which comprehensively includes 21 classical graph reasoning tasks, providing diverse graph generation pipelines and detailed reasoning steps.

Graph Generation

Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects

no code implementations24 Jan 2024 Yunfan Zhang, Hong Huang, Zhiwei Xiong, Zhiqi Shen, Guosheng Lin, Hao Wang, Nicholas Vun

The core strength of our pipeline lies in its ability to generate 3D scenes that are not only visually impressive but also exhibit features like photorealism, multi-view consistency, and diversity.

Indoor Scene Synthesis

Mitigating Cross-client GANs-based Attack in Federated Learning

no code implementations25 Jul 2023 Hong Huang, Xinyu Lei, Tao Xiang

Since a benign client's data can be leaked to the adversary, this attack brings the risk of local data leakage for clients in many security-critical FL applications.

Data-free Knowledge Distillation Federated Learning

OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images

no code implementations8 May 2023 Yuanzhi Cai, Jagannath Aryal, Yuan Fang, Hong Huang, Lei Fan

In this study, the concept of pruning from a supernet is used for the first time to integrate the selection of channel combination and the training of a semantic segmentation network.

Segmentation Semantic Segmentation

Distributed Pruning Towards Tiny Neural Networks in Federated Learning

no code implementations5 Dec 2022 Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu

To address these challenges, we propose FedTiny, a distributed pruning framework for federated learning that generates specialized tiny models for memory- and computing-constrained devices.

Federated Learning Network Pruning

Sentence Punctuation for Collaborative Commentary Generation in Esports Live-Streaming

no code implementations24 Oct 2021 Hong Huang, Junjie H. Xu, Xiaoling Ling, Pujana Paliyawan

To solve the existing sentence punctuation problem for collaborative commentary generation in Esports live-streaming, this paper presents two strategies for sentence punctuation for text sequences of game commentary, that is, punctuating sentences by two or three text sequence(s) originally punctuated by Youtube to obtain a complete sentence of commentary.

Language Modelling Sentence

Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction

no code implementations Findings (ACL) 2021 Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin

Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from sentences, where each triplet includes an entity, its associated sentiment, and the opinion span explaining the reason for the sentiment.

Aspect Sentiment Triplet Extraction Sentence

Outlier-Resilient Web Service QoS Prediction

1 code implementation1 Jun 2020 Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang

The proliferation of Web services makes it difficult for users to select the most appropriate one among numerous functionally identical or similar service candidates.

Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning

no code implementations22 Dec 2018 Hong Huang, Guangyao Shi, Haibo He, Yule Duan, Fulin Luo

However, a major challenge of GE is how to choose proper neighbors for graph construction and explore the spatial information of HSI data.

Classification Dimensionality Reduction +3

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