Search Results - "Pei, Xiaobing"

Deeper and Wider Networks for Performance Prediction in Communication Networks

Liu, Aijia, Liu, Shiqing, Pei, Xiaobing

2024 IEEE 24th International Conference on Communication Technology (ICCT)

Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better

Zhou, MingWei, Pei, Xiaobing

Multi-view Fake News Detection Model Based on Dynamic Hypergraph

Ye, Rongping, Pei, Xiaobing

AHSG: Adversarial Attack on High-level Semantics in Graph Neural Networks

Yuan, Kai, Zhang, Jiahao, Wang, Yidi, Pei, Xiaobing

Transferable Adversarial Facial Images for Privacy Protection

Li, Minghui, Wang, Jiangxiong, Zhang, Hao, Zhou, Ziqi, Hu, Shengshan, Pei, Xiaobing

IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs

Yang, Haoran, Pei, Xiaobing, Yuan, Kai

Hyperedge Interaction-aware Hypergraph Neural Network

Ye, Rongping, Pei, Xiaobing, Yang, Haoran, Wang, Ruiqi

Semi-supervised learning via DQN for log anomaly detection

He, Yingying, Pei, Xiaobing

CGDF-GNN: Cascaded GNN fraud detector with dual features facing imbalanced graphs with camouflaged fraudsters

Wan, Qichang, Wang, Peisen, Pei, Xiaobing

2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Deeper and Wider Networks for Performance Metrics Prediction in Communication Networks

Liu, Aijia, Liu, Shiqing, Pei, Xiaobing

HC-Ref: Hierarchical Constrained Refinement for Robust Adversarial Training of GNNs

Pei, Xiaobing, Yang, Haoran, Shen, Gang

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Multi-search mechanism-improved differential evolution algorithm for the no-wait flow shop scheduling problem

Li, Yizhen ^{a, ⁎}, Zheng, Chundong ^a, Pei, Xiaobing ^b

Shielding Federated Learning: A New Attack Approach and Its Defense

Wan, Wei, Lu, Jianrong, Hu, Shengshan, Zhang, Leo Yu, Pei, Xiaobing

2021 IEEE Wireless Communications and Networking Conference (WCNC)

Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution

Zhou, MingWei, Pei, Xiaobing

Fine-grained Graph Learning for Multi-view Subspace Clustering

Wang, Yidi, Pei, Xiaobing, Zhan, Haoxi

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A semiconductor wafer manufacturing system scheduling start-up and decision mechanism considering bottleneck drift characteristics

Qi, Wenbo, Pei, Xiaobing, Zhao, Heng ^⁎

Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense

Zhan, Haoxi, Pei, Xiaobing