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Chengzhong Xu — most-cited papers & profile · AI for Code
← authors
·
overview
Chengzhong Xu
36
papers ·
58
citations ·
0
h-index
University of Macau · City University of Macau
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
2022 · 21 citations
Federated Noisy Client Learning
2021 · 8 citations
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization
2021 · 8 citations
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting
2024 · 5 citations
Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data
2019 · 4 citations
Floe: Federated Specialization for Real-Time LLM-SLM Inference
2026 · 1 citations
A Survey on Federated Fine-tuning of Large Language Models
2025 · 1 citations
Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive Training
2024 · 1 citations
Toward Efficient Automated Feature Engineering
2022 · 1 citations
Edge Accelerated Robot Navigation With Collaborative Motion Planning
2023 · 1 citations
Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda
2026
Memory Centric Power Allocation for Multi-Agent Embodied Question Answering
2026
Agentic Self-Evolutionary Replanning for Embodied Navigation
2026
Direct Contact-Tolerant Motion Planning With Vision Language Models
2026
Embodied Edge Intelligence Meets Near Field Communication: Concept, Design, and Verification
2025
Topics
Federated Learning
Navigation
Privacy
Perception
Control
Multi-Robot
Training Techniques
Data Heterogeneity
cs.DC
Efficiency