Bo Zhang

Orcid: 0000-0002-3555-8202

Affiliations:
  • Beihang University, School of Cyberspace Science and Technology, Key Laboratory of Aerospace Network Security, Beijing, China


According to our database1, Bo Zhang authored at least 17 papers between 2021 and 2025.

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Bibliography

2025
Moment matching of joint distributions for unsupervised domain adaptation.
Inf. Process. Manag., 2025

2024
SANe: Space adaptation network for temporal knowledge graph completion.
Inf. Sci., 2024

Cross-domain knowledge collaboration for blending-target domain adaptation.
Inf. Process. Manag., 2024

ECLIPSE: Semantic Entropy-LCS for Cross-Lingual Industrial Log Parsing.
CoRR, 2024

mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture.
CoRR, 2024

Lemur: Log Parsing with Entropy Sampling and Chain-of-Thought Merging.
CoRR, 2024

MLAD: A Unified Model for Multi-system Log Anomaly Detection.
CoRR, 2024

OWL: A Large Language Model for IT Operations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Deep Kernel Network Embedding.
IEEE Trans. Knowl. Data Eng., June, 2023

LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Cross-Attentional Spatio-Temporal Semantic Graph Networks for Video Question Answering.
IEEE Trans. Image Process., 2022

ALSA: Adversarial Learning of Supervised Attentions for Visual Question Answering.
IEEE Trans. Cybern., 2022

TransLog: A Unified Transformer-based Framework for Log Anomaly Detection.
CoRR, 2022

Fusing visual and textual content for knowledge graph embedding via dual-track model.
Appl. Soft Comput., 2022

2021
Discriminative Feature Adaptation via Conditional Mean Discrepancy for Cross-Domain Text Classification.
Proceedings of the Database Systems for Advanced Applications, 2021

Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021


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