Jiayan Guo

Orcid: 0000-0002-7147-5439

According to our database1, Jiayan Guo authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
AIGB: Generative Auto-bidding via Diffusion Modeling.
CoRR, 2024

Generative Auto-bidding via Conditional Diffusion Modeling.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Can Chatbot Anthropomorphism and Empathy Mitigate the Impact of Customer Anger on Satisfaction?
Proceedings of the Wisdom, Well-Being, Win-Win, 2024

Boosting Disfluency Detection with Large Language Model as Disfluency Generator.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking.
CoRR, 2023

Homophily-oriented Heterogeneous Graph Rewiring.
Proceedings of the ACM Web Conference 2023, 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

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Hierarchical Hypergraph Recurrent Attention Network for Temporal Knowledge Graph Reasoning.
Proceedings of the IEEE International Conference on Acoustics, 2023

An Information Theoretic Perspective for Heterogeneous Subgraph Federated Learning.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Learning Robust Representation Through Graph Adversarial Contrastive Learning.
Proceedings of the Database Systems for Advanced Applications, 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
Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation.
CoRR, 2021

Investigating Influencing Factors for Public Service Capacities of Digital Government.
Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

2019
"Ask Everyone?" Understanding How Social Q&A Feedback Quality Influences Consumers' Purchase Intentions.
Proceedings of the 18th Wuhan International Conference on E-Business, 2019

How "Task-Individual Fit" Influences User Contribution Behaviors in Citizen Science.
Proceedings of the ICCSE'19: The 4th International Conference on Crowd Science and Engineering, Jinan, China, October 18, 2019


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