An Efficient Task Assignment Mechanism for Crowdsensing Systems. - Zhuan Shi; He Huang 001; Yu-e Sun; Xiaocan Wu; Fanzhang Li; Miaomiao Tian 001 (ICCCS (2), 2016)

Crowdsourcing System for Numerical Tasks based on Latent Topic Aware Worker Reliability. - Zhuan Shi; Shanyang Jiang; Lan Zhang 002; Yang Du 006; Xiang-Yang Li 001 (INFOCOM, 2021)

Towards AI-Empowered Crowdsourcing. - Shipeng Wang 001; Qingzhong Li; Lizhen Cui; Zhongmin Yan; Yonghui Xu; Zhuan Shi; Zhiqi Shen 001; Han Yu 001 (CoRR, 2022)

Fairness-Aware Client Selection for Federated Learning. - Yuxin Shi; Zelei Liu; Zhuan Shi; Han Yu 001 (ICME, 2023)

FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness. - Zhuan Shi; Zhenyu Yao; Liping Yi; Han Yu 001; Lan Zhang 002; Xiang-Yang Li 001 (ICWS, 2023)

FedGH: Heterogeneous Federated Learning with Generalized Global Header. - Liping Yi; Gang Wang 001; Xiaoguang Liu 001; Zhuan Shi; Han Yu 001 (ACM Multimedia, 2023)

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning. - Liping Yi; Han Yu 001; Zhuan Shi; Gang Wang 001; Xiaoguang Liu 001 (CoRR, 2023)

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning. - Liping Yi; Han Yu 001; Zhuan Shi; Gang Wang 001; Xiaoguang Liu 001; Lizhen Cui; Xiaoxiao Li (IJCAI, 2024)

RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model. - Zhuan Shi; Jing Yan; Xiaoli Tang; Lingjuan Lyu; Boi Faltings (CoRR, 2024)

Copyright-Aware Incentive Scheme for Generative Art Models Using Hierarchical Reinforcement Learning. - Zhuan Shi; Yifei Song; Xiaoli Tang; Lingjuan Lyu; Boi Faltings (CoRR, 2024)

pFedKT: Personalized federated learning with dual knowledge transfer. - Liping Yi; Xiaorong Shi; Nan Wang 040; Gang Wang 001; Xiaoguang Liu 001; Zhuan Shi; Han Yu 001 (Knowl. Based Syst., 2024)

FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning. - Zhuan Shi; Lan Zhang 002; Zhenyu Yao; Lingjuan Lyu; Cen Chen 001; Li Wang 056; Junhao Wang; Xiang-Yang Li 001 (IEEE Trans. Big Data, 2024)

CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models. - Shunchang Liu; Zhuan Shi; Lingjuan Lyu; Yaochu Jin; Boi Faltings (CoRR, 2025)

FedCDC: A Collaborative Framework for Data Consumers in Federated Learning Market. - Zhuan Shi; Patrick Ohl; Boi Faltings (CoRR, 2025)

Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing. - Aly M. Kassem; Zhuan Shi; Negar Rostamzadeh; Golnoosh Farnadi (CoRR, 2025)