Bo Wu

Orcid: 0000-0001-7266-084X

Affiliations:
  • Hunan University of Technology and Business, Xiangjiang Laboratory, Changsha, China
  • Renmin University, School of Information, Beijing, China (PhD)


According to our database1, Bo Wu authored at least 30 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2025
Retrieval-Augmented Multilingual Citation Generation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters.
Proceedings of the ACM on Web Conference 2024, 2024

A Sample-driven Selection Framework: Towards Graph Contrastive Networks with Reinforcement Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Hypergraph-Based Session Modeling: A Multi-Collaborative Self-Supervised Approach for Enhanced Recommender Systems.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Diffuse and Smooth: Beyond Truncated Receptive Field for Scalable and Adaptive Graph Representation Learning.
ACM Trans. Knowl. Discov. Data, June, 2023

Dual-aware Domain Mining and Cross-aware Supervision for Weakly-supervised Semantic Segmentation.
ACM Trans. Knowl. Discov. Data, 2023

A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule Network.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Intent Does Matter! Propagating High-Order Relations for Exploring Interest Preferences.
Proceedings of the IEEE International Conference on Acoustics, 2023

Select The Best: Enhancing Graph Representation with Adaptive Negative Sample Selection.
Proceedings of the IEEE International Conference on Acoustics, 2023

Cross-Modal Matching and Adaptive Graph Attention Network for RGB-D Scene Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Modeling High-Order Relation to Explore User Intent with Parallel Collaboration Views.
Proceedings of the Database Systems for Advanced Applications, 2023

BiQCap: A Biquaternion and Capsule Network-Based Embedding Model for Temporal Knowledge Graph Completion.
Proceedings of the Database Systems for Advanced Applications, 2023

MVRACE: Multi-view Graph Contrastive Encoding for Graph Neural Network Pre-training.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Graph Capsule Network with a Dual Adaptive Mechanism.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

MULTIFORM: Few-Shot Knowledge Graph Completion via Multi-modal Contexts.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Charge Own Job: Saliency Map and Visual Word Encoder for Image-Level Semantic Segmentation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

When True Becomes False: Few-Shot Link Prediction beyond Binary Relations through Mining False Positive Entities.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Cross-Pixel Dependency with Boundary-Feature Transformation for Weakly Supervised Semantic Segmentation.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

CoNet: Co-Embedding by Reinforcing Graph Feature and Topology Information.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Adaptive Attention Graph Capsule Network.
Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Dynamic Graph Convolutional Network with Fine-Grained Attention Mechanism.
Proceedings of the IEEE International Conference on Acoustics, 2022

Graph Fine-Grained Contrastive Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Eureka: Neural Insight Learning for Knowledge Graph Reasoning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Reinforced Sample Selection for Graph Neural Networks Transfer Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Graph Ensemble Networks for Semi-supervised Embedding Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2021


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