Turbo: A High-Performance and Secure Off-Chain Payment Hub. - Jinchun He; Wangjie Qiu; Rixin He; Shengda Zhuo; Wanqing Jie (ML4CS (3), 2022)

Online Semi-supervised Learning with Mix-Typed Streaming Features. - Di Wu 056; Shengda Zhuo; Yu Wang 017; Zhong Chen 003; Yi He 007 (AAAI, 2023)

CRCC: Collaborative Relation Context Consistency on the Knowledge Graph for Recommender Systems (S). - Li-E Wang 001; Huachang Zeng; Shenghan Li; Xianxian Li; Shengda Zhuo; Jiahua Xie; Bin Qu; Zhigang Sun; Tianran Liu (SEKE, 2023)

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)

Unveiling the Achilles' Heel: Backdoor Watermarking Forgery Attack in Public Dataset Protection. - Zhiying Li 003; Zhi Liu; Dongjie Liu; Shengda Zhuo; Guanggang Geng; Jian Weng 001; Shanxiang Lyu; Xiaobo Jin (CoRR, 2024)

ARDST: An Adversarial-Resilient Deep Symbolic Tree for Adversarial Learning. - Shengda Zhuo; Di Wu 056; Xin Hu 008; Yu Wang 017 (Int. J. Intell. Syst., 2024)

Online Feature Selection With Varying Feature Spaces. - Shengda Zhuo; Jin-Jie Qiu; Chang-Dong Wang 001; Shu-Qiang Huang (IEEE Trans. Knowl. Data Eng., 2024)

An Efficient Multiparty Payment Protocol for IoT Micro-Payments. - Jinchun He; Wangjie Qiu; Shengda Zhuo; Minghui Xu 001; Qinnan Zhang; Zehui Xiong; Zhiming Zheng 001 (IEEE Internet Things J., 2024)

Online Feature Selection with Varying Feature Spaces (Extended Abstract). - Shengda Zhuo; Jin-Jie Qiu; Chang-Dong Wang 001; Shuqiang Huang (ICDE, 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)

Enhancing partition distinction: A contrastive policy to recommendation unlearning. - Lin Li 074; Shengda Zhuo; Hongguang Lin; Jinchun He; Wangjie Qiu; Qinnan Zhang; Chang-Dong Wang 001; Shuqiang Huang (Neural Networks, 2025)

Online Learning for Noisy Labeled Streams. - Jin-Jie Qiu; Shengda Zhuo; Philip S. Yu; Chang-Dong Wang 001; Shuqiang Huang (ACM Trans. Knowl. Discov. Data, 2025)

EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning. - Shengda Zhuo; Jiwang Fang; Hongguang Lin; Yin Tang; Min Chen 003; Chang-Dong Wang 001; Shuqiang Huang (CoRR, 2025)

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning. - Chuyuan Wei; Shun-Yao Liu; Shengda Zhuo; Chang-Dong Wang 001; Shu-Qiang Huang; Mohsen Guizani (CoRR, 2025)

Extension OL-MDISF: Online Learning from Mix-Typed, Drifted, and Incomplete Streaming Features. - Shengda Zhuo; Di Wu 056; Yi He 007; Shuqiang Huang; Xindong Wu 001 (CoRR, 2025)

From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling. - Xiaotong Luo; Shengda Zhuo; Min Chen 003; Lichun Li; Ruizhao Lu; Wenqi Fan; Shuqiang Huang; Yin Tang (CoRR, 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 001; Yin Tang; Min Chen 003; Chang-Dong Wang 001; Shuqiang Huang (IEEE Internet Things J., 2025)