Peiyan Zhang

Orcid: 0000-0002-8691-1846

According to our database1, Peiyan Zhang authored at least 20 papers between 2020 and 2024.

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Bibliography

2024
When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning.
CoRR, 2024

JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models.
CoRR, 2024

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs.
Proceedings of the ACM on Web Conference 2024, 2024

Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective.
Proceedings of the ACM on Web Conference 2024, 2024

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models.
CoRR, 2023

Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study.
CoRR, 2023

Can Transformer and GNN Help Each Other?
CoRR, 2023

A Survey on Incremental Update for Neural Recommender Systems.
CoRR, 2023

Research on the Influence of Mechanical Vibration on Radio Wave Propagation.
IEEE Access, 2023

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Continual Learning on Dynamic Graphs via Parameter Isolation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
A Roadside Unit EIRP Measurement Method Based on Very Near Field Scanning.
Proceedings of the 21st International Conference on Communication Technology, 2021

2020
Word Shape Matters: Robust Machine Translation with Visual Embedding.
CoRR, 2020

Carrier Waveform Predistortion Technology for Nonlinear Devices.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020


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