Bowen Hao

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2026

Distributed robust anti-interference Nash equilibrium search for second-order multi-agent systems and its application.

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[DOI]

Math. Comput. Simul., 2026

2025

Fully Distributed Prescribed-Time Optimization With Time-Varying Cost Function.

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IEEE Trans. Veh. Technol., March, 2025

Emotion Recognition Method Using U-Net Neural Network With Multichannel EEG Features and Differential Entropy Characteristics.

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IEEE Access, 2025

LLM-Augmented Ticket Aggregation for Low-cost Mobile OS Defect Resolution.

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Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

LipGen: Viseme-Guided Lip Video Generation for Enhancing Visual Speech Recognition.

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[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Distributed time-varying Nash equilibrium in resilient multi-objective formation control for cyber-physical systems.

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J. Frankl. Inst., 2024

Motif-based Prompt Learning for Universal Cross-domain Recommendation.

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Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Fault Diagnosis for Test Alarms in Microservices through Multi-source Data.

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Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

2023

A Multi-strategy-based Pre-training Method for Cold-start Recommendation.

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[DOI]

ACM Trans. Inf. Syst., April, 2023

CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data.

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[DOI]

Proceedings of the ACM Web Conference 2023, 2023

2022

Self-supervised graph learning for occasional group recommendation.

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Int. J. Intell. Syst., December, 2022

2021

Self-supervised Graph Learning for Occasional Group Recommendation.

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CoRR, 2021

Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.

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Proceedings of the WSDM '21, 2021

2020

Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach.

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Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Few-Shot Representation Learning for Cold-Start Users and Items.

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[DOI]

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019

Hierarchical Reinforcement Learning for Course Recommendation in MOOCs.

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[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Bowen Hao

Bibliography

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