activity
20232026
most citedClients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off

3 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

cs.IR2026

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation

Yuecheng Li, Zeyu Song, Jing Yao +3

Scaling recommender systems via large language models (LLMs) has become a prominent trend in the industry. However, aligning the LLM's semantic space with the recommender's ID spac…

cs.IR2026

RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment

Yuecheng Li, Hengwei Ju, Zeyu Song +4

Integrating large language model (LLM) representations into multimodal recommendation has shown promise, yet a fundamental challenge remains largely overlooked: the semantic hetero…

cs.LG2025

ParaAegis: Parallel Protection for Flexible Privacy-preserved Federated Learning

Zihou Wu, Yuecheng Li, Tianchi Liao +2

Federated learning (FL) faces a critical dilemma: existing protection mechanisms like differential privacy (DP) and homomorphic encryption (HE) enforce a rigid trade-off, forcing a…

cs.LG2024★ 3 cited

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off

Yuecheng Li, Lele Fu, Tong Wang +6

To defend against privacy leakage of user data, differential privacy is widely used in federated learning, but it is not free. The addition of noise randomly disrupts the semantic…

cs.SI2023★ 2 cited

CueGCL: Cluster-aware Personalized Self-Training for Unsupervised Graph Contrastive Learning

Yuecheng Li, Lele Fu, Sheng Huang +3

Recently, graph contrastive learning (GCL) has emerged as one of the optimal solutions for node-level and supervised tasks. However, for structure-related and unsupervised tasks su…

cs.LG2023

Contrastive Deep Nonnegative Matrix Factorization for Community Detection

Yuecheng Li, Jialong Chen, Chuan Chen +2

Recently, nonnegative matrix factorization (NMF) has been widely adopted for community detection, because of its better interpretability. However, the existing NMF-based methods ha…

cs.CR2023★ 2 cited

Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges

Chuan Chen, Yuecheng Li, Zhenpeng Wu +5

Metaverse, the core of the next-generation Internet, is a computer-generated holographic digital environment that simultaneously combines spatio-temporal, immersive, real-time, sus…