Search Results for author: Xiangyang Luo

Found 10 papers, 1 papers with code

Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning

no code implementations10 Sep 2023 Guisheng Liu, Yi Li, Zhengcong Fei, Haiyan Fu, Xiangyang Luo, Yanqing Guo

While impressive performance has been achieved in image captioning, the limited diversity of the generated captions and the large parameter scale remain major barriers to the real-word application of these systems.

Denoising Image Captioning

Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples

no code implementations8 Mar 2023 Jinwei Wang, Hao Wu, Haihua Wang, Jiawei Zhang, Xiangyang Luo, Bin Ma

Therefore, we propose a novel adversarial defense mechanism, which is referred to as immune defense and is the example-based pre-defense.

Adversarial Defense

Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks

1 code implementation26 Apr 2022 Jiawei Zhang, Jinwei Wang, Hao Wang, Xiangyang Luo

The destruction to DNNs brought by the adversarial attack sparks the potential that adversarial examples serve as a new protection mechanism for privacy security in social networks.

Adversarial Attack Adversarial Defense +1

GNN-Geo: A Graph Neural Network-based Fine-grained IP geolocation Framework

no code implementations18 Dec 2021 Shichang Ding, Xiangyang Luo, Jinwei Wang, XiaoMing Fu

MP layers refine the initial node embeddings by modeling the connection information.

Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection

no code implementations29 Oct 2019 Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo, Pengfei Hu

Collaborative learning allows multiple clients to train a joint model without sharing their data with each other.

A Review-Driven Neural Model for Sequential Recommendation

no code implementations1 Jul 2019 Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan

Given a sequence of historical purchased items for a user, we devise a novel hierarchical attention over attention mechanism to capture sequential patterns at both union-level and individual-level.

Collaborative Filtering Sequential Recommendation

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

no code implementations21 Jan 2019 Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji

Recognizing and linking such fine-grained location mentions to well-defined location profiles are beneficial for retrieval and recommendation systems.

Recommendation Systems Representation Learning +2

Joint Adaptive Neighbours and Metric Learning for Multi-view Subspace Clustering

no code implementations12 Sep 2017 Nan Xu, Yanqing Guo, Jiujun Wang, Xiangyang Luo, Ran He

In this method, we use the subspace representations of different views to adaptively learn a consensus similarity matrix, uncovering the subspace structure and avoiding noisy nature of original data.

Clustering Metric Learning +2

NEXT: A Neural Network Framework for Next POI Recommendation

no code implementations15 Apr 2017 Zhiqian Zhang, Chenliang Li, Zhiyong Wu, Aixin Sun, Dengpan Ye, Xiangyang Luo

Inspired by the recent success of neural networks in many areas, in this paper, we present a simple but effective neural network framework for next POI recommendation, named NEXT.

Representation Learning

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