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Cheng Yang — most-cited papers & profile · AI for Science
← authors
·
overview
Cheng Yang
25
papers ·
278
citations ·
36
h-index
IE University · Central South University · Zhejiang University of Science and Technology · China Tobacco · Institute of Archaeology · Hangzhou Dianzi University · Xinjiang University
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Most-cited papers
Adaptive Graph Encoder for Attributed Graph Embedding
2020 · 228 citations
Moe-i\(^2\): Compressing Mixture Of Experts Models Through Inter-expert Pruning And Intra-expert Low-rank Decomposition
2024 · 42 citations
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
2025 · 5 citations
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
2025 · 2 citations
Avalon: Building an Operating System for Robotcenter
2018 · 1 citations
MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing
2026
Gnnverifier: Graph-based Verifier For LLM Task Planning
2026
HiSkill: Empowering LLM Agents with Hierarchical Skill Graphs
2026
Adversarial Attack Defense in Graph Neural Networks via Multiview Learning and Attention-Guided Topology Filtering
2026
TraceSafe: A Systematic Assessment of LLM Guardrails on Multi-Step Tool-Calling Trajectories
2026
AutoEnv: Automated Environments for Measuring Cross-Environment Agent Learning
2025
Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration
2025
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
2025
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning
2024
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
2024
Top co-authors
Chuan Shi
· 1
Jinxuan Cai
· 1
Qi Zhang
· 1
Yawen Li
· 1
Yu Hao
· 1
Zhiqiang Zhang
· 1
Topics
Evaluation
Training Techniques
Multi-Agent
Model Architecture
Efficiency
Model-Based RL
Safety & Alignment
Federated Learning
GNN Architectures
Graph-based