Zhuan Shi

23 papers A* 5A 3Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs.
EACL (Volume 1: Long Papers)
Alireza Dehghanpour Farashah, Aditi Khandelwal, Marylou Fauchard, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi
2026 J jnl
Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs.
CoRR
Alireza Dehghanpour Farashah, Aditi Khandelwal, Marylou Fauchard, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi
2026 J jnl
Neighbor-Aware Localized Concept Erasure in Text-to-Image Diffusion Models.
CoRR
Zhuan Shi, Alireza Dehghanpour Farashah, Rik de Vries, Golnoosh Farnadi
2025 A* conf
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models.
ACM Multimedia
Shunchang Liu, Zhuan Shi, Lingjuan Lyu, Yaochu Jin, Boi Faltings
2025 J jnl
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models.
CoRR
Shunchang Liu, Zhuan Shi, Lingjuan Lyu, Yaochu Jin, Boi Faltings
2025 J jnl
FedCDC: A Collaborative Framework for Data Consumers in Federated Learning Market.
CoRR
Zhuan Shi, Patrick Ohl, Boi Faltings
2025 A* conf
REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing.
EMNLP
Aly M. Kassem, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi
2025 A conf
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model.
ICME
Zhuan Shi, Jing Yan, Xiaoli Tang, Lingjuan Lyu, Boi Faltings
2025 J jnl
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing.
CoRR
Aly M. Kassem, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi
2024 J jnl
Copyright-Aware Incentive Scheme for Generative Art Models Using Hierarchical Reinforcement Learning.
CoRR
Zhuan Shi, Yifei Song, Xiaoli Tang, Lingjuan Lyu, Boi Faltings
2024 J jnl
FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning.
IEEE Trans. Big Data
Zhuan Shi, Lan Zhang, Zhenyu Yao, Lingjuan Lyu, Cen Chen, Li Wang, Junhao Wang, Xiang-Yang Li
2024 A* conf
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.
IJCAI
Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li
2024 J jnl
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model.
CoRR
Zhuan Shi, Jing Yan, Xiaoli Tang, Lingjuan Lyu, Boi Faltings
2024 J jnl
pFedKT: Personalized federated learning with dual knowledge transfer.
Knowl. Based Syst.
Liping Yi, Xiaorong Shi, Nan Wang, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu
2023 A conf
Fairness-Aware Client Selection for Federated Learning.
ICME
Yuxin Shi, Zelei Liu, Zhuan Shi, Han Yu
2023 J jnl
Fairness-Aware Client Selection for Federated Learning.
CoRR
Yuxin Shi, Zelei Liu, Zhuan Shi, Han Yu
2023 A* conf
FedGH: Heterogeneous Federated Learning with Generalized Global Header.
ACM Multimedia
Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu
2023 J jnl
FedGH: Heterogeneous Federated Learning with Generalized Global Header.
CoRR
Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu
2023 J jnl
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.
CoRR
Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu
2023 A conf
FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness.
ICWS
Zhuan Shi, Zhenyu Yao, Liping Yi, Han Yu, Lan Zhang, Xiang-Yang Li
2022 J jnl
Towards AI-Empowered Crowdsourcing.
CoRR
Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu
2021 A* conf
Crowdsourcing System for Numerical Tasks based on Latent Topic Aware Worker Reliability.
INFOCOM
Zhuan Shi, Shanyang Jiang, Lan Zhang, Yang Du, Xiang-Yang Li
2016 — conf
An Efficient Task Assignment Mechanism for Crowdsensing Systems.
ICCCS (2)
Zhuan Shi, He Huang, Yu-e Sun, Xiaocan Wu, Fanzhang Li, Miaomiao Tian