Zhuan Shi

According to our database, Zhuan Shi authored at least 18 papers between 2016 and 2026.

Collaborative distances:

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

2026

How and What to Imagine? Visual Thinking in Unified Multimodal Models for Cross-View Spatial Reasoning.

Qian Yang, Ankur Sikarwar, Huy Le, Le Zhang, Zhuan Shi, Perouz Taslakian, Aishwarya Agrawal

CoRR, May, 2026

Neighbor-Aware Localized Concept Erasure in Text-to-Image Diffusion Models.

Zhuan Shi, Alireza Dehghanpour Farashah, Rik de Vries, Golnoosh Farnadi

CoRR, March, 2026

Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs.

Alireza Dehghanpour Farashah, Aditi Khandelwal, Marylou Fauchard, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

FedCDC: A Collaborative Framework for Data Consumers in Federated Learning Market.

Zhuan Shi, Patrick Ohl, Boi Faltings

CoRR, February, 2025

CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models.

Shunchang Liu, Zhuan Shi, Lingjuan Lyu, Yaochu Jin, Boi Faltings

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model.

Zhuan Shi, Jing Yan, Xiaoli Tang, Lingjuan Lyu, Boi Faltings

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning.

Zhuan Shi, Lan Zhang, Zhenyu Yao, Lingjuan Lyu, Cen Chen, Li Wang, Junhao Wang, Xiang-Yang Li

IEEE Trans. Big Data, December, 2024

pFedKT: Personalized federated learning with dual knowledge transfer.

Liping Yi, Xiaorong Shi, Nan Wang, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu

Knowl. Based Syst., 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

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.

Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.

Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu

CoRR, 2023

FedGH: Heterogeneous Federated Learning with Generalized Global Header.

Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness.

Zhuan Shi, Zhenyu Yao, Liping Yi, Han Yu, Lan Zhang, Xiang-Yang Li

Proceedings of the IEEE International Conference on Web Services, 2023

Fairness-Aware Client Selection for Federated Learning.

Yuxin Shi, Zelei Liu, Zhuan Shi, Han Yu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Towards AI-Empowered Crowdsourcing.

Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu

CoRR, 2022

2021

Crowdsourcing System for Numerical Tasks based on Latent Topic Aware Worker Reliability.

Zhuan Shi, Shanyang Jiang, Lan Zhang, Yang Du, Xiang-Yang Li

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2016

An Efficient Task Assignment Mechanism for Crowdsensing Systems.

Zhuan Shi, He Huang, Yu-e Sun, Xiaocan Wu, Fanzhang Li, Miaomiao Tian

Proceedings of the Cloud Computing and Security - Second International Conference, 2016