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Yaliang Li — most-cited papers & profile · AI for Code
← authors
·
overview
Yaliang Li
59
papers ·
971
citations ·
44
h-index
Alibaba Group (China)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Simple and Deep Graph Convolutional Networks
2020 · 402 citations
Fedbiot: LLM Local Fine-tuning In Federated Learning Without Full Model
2024 · 127 citations
Sequential Recommendation with Self-Attentive Multi-Adversarial Network
2020 · 127 citations
On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting
2025 · 68 citations
On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting
2025 · 68 citations
Scalable Graph Neural Networks via Bidirectional Propagation
2020 · 46 citations
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
2024 · 27 citations
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
2022 · 23 citations
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
2022 · 15 citations
Efficient Personalized Federated Learning via Sparse Model-Adaptation
2023 · 9 citations
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
2023 · 9 citations
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
2023 · 8 citations
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
2022 · 6 citations
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization
2022 · 6 citations
Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning
2024 · 6 citations
Topics
Federated Learning
Efficiency
Training Techniques
Fine-Tuning
Privacy
Evaluation
GNN Architectures
Reinforcement Learning
cs.AI
Theory & Expressivity