Sensen Zhang
Orcid: 0000-0002-0449-4699
According to our database1,
Sensen Zhang
authored at least 25 papers
between 2022 and 2025.
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Bibliography
2025
Enhancing the Transferability of Adversarial Examples With Random Diversity Ensemble and Variance Reduction Augmentation.
IEEE Trans. Big Data, October, 2025
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model.
CoRR, January, 2025
When Sparse Graph Representation Learning Falls into Domain Shift: Feature Augmentation for Cross-Domain Graph Meta-Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Found In The Distribution: Utilizing Latent Dirichlet Allocation Improves Long Context Comprehension of Large Language Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Enhancing Long-Term Capabilities of Large Language Models via Discourse Sub-graph Analysis.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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
Enhancing Knowledge Graph Embedding with Hierarchical Self-Attention and Graph Neural Network Techniques for Drug-Drug Interaction Prediction in Virtual Reality Environments.
Symmetry, May, 2024
Inf. Sci., 2024
An radicals construction technique based on dual quaternions and hierarchical transformers.
Neurocomputing, 2024
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning.
CoRR, 2024
Enhancing Drug-Drug Interaction Predictions in Biomedical Knowledge Graphs Through Integration of Householder Projections and Capsule Network Techniques.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Diffuse and Smooth: Beyond Truncated Receptive Field for Scalable and Adaptive Graph Representation Learning.
ACM Trans. Knowl. Discov. Data, June, 2023
DuCape: Dual Quaternion and Capsule Network-Based Temporal Knowledge Graph Embedding.
ACM Trans. Knowl. Discov. Data, 2023
Hybrid Interaction Temporal Knowledge Graph Embedding Based on Householder Transformations.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Intent Does Matter! Propagating High-Order Relations for Exploring Interest Preferences.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Edge Computing - EDGE 2023, 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
2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022