Shengda Zhuo

According to our database, Shengda Zhuo authored at least 31 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Redefining edge representations for enhanced information propagation on GNNs.

Shengda Zhuo, Tianbo Wang, Lichun Li, Zifeng Zhou, Zelin Guan, Yin Tang, Min Chen, Shuqiang Huang

J. Intell. Inf. Syst., June, 2026

EdgeGFL: rethinking edge information in graph feature preference learning.

Shengda Zhuo, Jiwang Fang, Hongguang Lin, Ning Li, Yuewei Zhou, Siheng Zhang, Yin Tang, Min Chen, Shuqiang Huang

Int. J. Mach. Learn. Cybern., May, 2026

Multi-side contrastive learning with intent-enhanced for knowledge recommendation.

Huachang Zeng, Li-e Wang, Shenghan Li, Xianxian Li, Shengda Zhuo, Zhigang Sun

Int. J. Mach. Learn. Cybern., May, 2026

E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems.

Zelin Guan, Shengda Zhuo, Zeyan Li, Jinchun He, Wangjie Qiu, Zhiming Zheng, Shuqiang Huang

CoRR, May, 2026

ProGraph: Graph Prompt Tuning with Knowledge-aware Contrastive Learning for Recommendation.

Chuyuan Wei, Anning He, Shengda Zhuo, Chang-Dong Wang, Shuqiang Huang

ACM Trans. Multim. Comput. Commun. Appl., April, 2026

Super-Item Interaction With Contrastive Learning for Structure-Level Cross-Domain Recommendation.

Chuyuan Wei, Yuan-Peng Zhai, Shengda Zhuo, Chang-Dong Wang, Shu-Qiang Huang

IEEE Trans. Comput. Soc. Syst., April, 2026

UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains.

Shuyi Miao, Wangjie Qiu, Shengda Zhuo, Fei Shen, Dan Lin, Xingtong Yu, Tat-Seng Chua, Zhiming Zheng

CoRR, April, 2026

Temporal Knowledge Consistency for Spammer Groups Detection via Contrastive Learning.

Ning Li, Wenqi Fan, Shujuan Ji, Chaoqun Wang, Shengda Zhuo, Yuewei Zhou, Yong-Quan Liang

IEEE Trans. Comput. Soc. Syst., February, 2026

Preference-Guided Debiasing and Denoising Social Recommendation.

Jun Li, Shenghan Li, Huachang Zeng, Shengda Zhuo

Inf., 2026

Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model (Abstract Reprint).

Chuyuan Wei, Ke Duan, Shengda Zhuo, Hongchun Wang, Shuqiang Huang, Jie Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Online Learning from Mix-typed, Drifted, and Incomplete Streaming Features.

Shengda Zhuo, Di Wu, Yi He, Shuqiang Huang, Xindong Wu

ACM Trans. Knowl. Discov. Data, September, 2025

Federated Graph Learning via Constructing and Sharing Feature Spaces for Cross-Domain IoT.

Jiale Chen, Shengda Zhuo, Jinchun He, Wangjie Qiu, Qinnan Zhang, Zehui Xiong, Zhiming Zheng, Yin Tang, Min Chen, Chang-Dong Wang, Shuqiang Huang

IEEE Internet Things J., July, 2025

From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling.

Xiaotong Luo, Shengda Zhuo, Min Chen, Lichun Li, Ruizhao Lu, Wenqi Fan, Shuqiang Huang, Yin Tang

CoRR, July, 2025

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

Shengda Zhuo, Di Wu, Yi He, Shuqiang Huang, Xindong Wu

CoRR, July, 2025

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning.

Chuyuan Wei, Shun-Yao Liu, Shengda Zhuo, Chang-Dong Wang, Shu-Qiang Huang, Mohsen Guizani

CoRR, July, 2025

EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning.

Shengda Zhuo, Jiwang Fang, Hongguang Lin, Yin Tang, Min Chen, Chang-Dong Wang, Shuqiang Huang

CoRR, February, 2025

Online Learning for Noisy Labeled Streams.

Jin-Jie Qiu, Shengda Zhuo, Philip S. Yu, Chang-Dong Wang, Shuqiang Huang

ACM Trans. Knowl. Discov. Data, 2025

Behavior-Enhanced Representation Learning for User Behavior Analysis.

Zeyan Li, Shengda Zhuo, Jinchun He, Wangjie Qiu, Zhiming Zheng, Min Chen, Yin Tang

IEEE Trans. Inf. Forensics Secur., 2025

Enhancing partition distinction: A contrastive policy to recommendation unlearning.

Lin Li, Shengda Zhuo, Hongguang Lin, Jinchun He, Wangjie Qiu, Qinnan Zhang, Chang-Dong Wang, Shuqiang Huang

Neural Networks, 2025

Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model.

Chuyuan Wei, Ke Duan, Shengda Zhuo, Hongchun Wang, Shuqiang Huang, Jie Liu

J. Artif. Intell. Res., 2025

Unveiling Blockchain Transactions Insights: Behavioral Anomaly Detection via Relational Mechanisms.

Zeyan Li, Shengda Zhuo, Yichen Shi, Jiadong Huang, Jinchun He, Wangjie Qiu, Zhiming Zheng, Shuqiang Huang, Min Chen, Yin Tang

IEEE Internet Things J., 2025

Online Asynchronous Learning over Streaming Nominal Data.

Hongrui Li, Shengda Zhuo, Lin Li, Jiale Chen, Tianbo Wang, Jun Tang, Shaorui Liu, Shuqiang Huang

Big Data Cogn. Comput., 2025

Online Feature Selection with Varying Feature Spaces (Extended Abstract).

Shengda Zhuo, Jin-Jie Qiu, Chang-Dong Wang, Shuqiang Huang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

An Efficient Multiparty Payment Protocol for IoT Micro-Payments.

Jinchun He, Wangjie Qiu, Shengda Zhuo, Minghui Xu, Qinnan Zhang, Zehui Xiong, Zhiming Zheng

IEEE Internet Things J., October, 2024

Online Feature Selection With Varying Feature Spaces.

Shengda Zhuo, Jin-Jie Qiu, Chang-Dong Wang, Shu-Qiang Huang

IEEE Trans. Knowl. Data Eng., September, 2024

ARDST: An Adversarial-Resilient Deep Symbolic Tree for Adversarial Learning.

Shengda Zhuo, Di Wu, Xin Hu, Yu Wang

Int. J. Intell. Syst., 2024

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

Zhiying Li, Zhi Liu, Dongjie Liu, Shengda Zhuo, Guanggang Geng, Jian Weng, Shanxiang Lyu, Xiaobo Jin

CoRR, 2024

Imagine and Imitate: Cost-Effective Bidding under Partially Observable Price Landscapes.

Xiaotong Luo, Yongjian Chen, Shengda Zhuo, Jie Lu, Ziyang Chen, Lichun Li, Jingyan Tian, Xiaotong Ye, Yin Tang

Big Data Cogn. Comput., 2024

2023

CRCC: Collaborative Relation Context Consistency on the Knowledge Graph for Recommender Systems (S).

Li-E Wang, Huachang Zeng, Shenghan Li, Xianxian Li, Shengda Zhuo, Jiahua Xie, Bin Qu, Zhigang Sun, Tianran Liu

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Online Semi-supervised Learning with Mix-Typed Streaming Features.

Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen, Yi He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Turbo: A High-Performance and Secure Off-Chain Payment Hub.

Jinchun He, Wangjie Qiu, Rixin He, Shengda Zhuo, Wanqing Jie

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022