Shengda Zhuo

Orcid: 0000-0001-5610-005X

According to our database1, Shengda Zhuo authored at least 17 papers between 2022 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Federated Graph Learning via Constructing and Sharing Feature Spaces for Cross-Domain IoT.
IEEE Internet Things J., July, 2025

From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling.
CoRR, July, 2025

Extension OL-MDISF: Online Learning from Mix-Typed, Drifted, and Incomplete Streaming Features.
CoRR, July, 2025

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning.
CoRR, July, 2025

EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning.
CoRR, February, 2025

Online Learning for Noisy Labeled Streams.
ACM Trans. Knowl. Discov. Data, 2025

Enhancing partition distinction: A contrastive policy to recommendation unlearning.
Neural Networks, 2025

Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model.
J. Artif. Intell. Res., 2025

Online Feature Selection with Varying Feature Spaces (Extended Abstract).
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024
An Efficient Multiparty Payment Protocol for IoT Micro-Payments.
IEEE Internet Things J., October, 2024

Online Feature Selection With Varying Feature Spaces.
IEEE Trans. Knowl. Data Eng., September, 2024

ARDST: An Adversarial-Resilient Deep Symbolic Tree for Adversarial Learning.
Int. J. Intell. Syst., 2024

Unveiling the Achilles' Heel: Backdoor Watermarking Forgery Attack in Public Dataset Protection.
CoRR, 2024

Imagine and Imitate: Cost-Effective Bidding under Partially Observable Price Landscapes.
Big Data Cogn. Comput., 2024

2023
CRCC: Collaborative Relation Context Consistency on the Knowledge Graph for Recommender Systems (S).
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Online Semi-supervised Learning with Mix-Typed Streaming Features.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Turbo: A High-Performance and Secure Off-Chain Payment Hub.
Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022


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