Search Results for author: Xiangyang Luo

Found 7 papers, 0 papers with code

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

no code implementations26 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

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

GNN-Geo consists of a preprocessor, an encoder, messaging passing (MP) layers and a decoder.

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 +1

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.

Metric Learning MULTI-VIEW LEARNING +1

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

Cannot find the paper you are looking for? You can Submit a new open access paper.