Yingchi Mao

Hohai University — China

Computer Science · Physical Sciences

23h-index1.9kcitations209works3.12yr avg
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Research Topics

Energy Efficient Wireless Sensor Networks(28), Privacy-Preserving Technologies in Data(28), IoT and Edge/Fog Computing(25), Cloud Computing and Resource Management(19), Stochastic Gradient Optimization Techniques(13)

Publications209 total

Learnable Cloud-Guided LLM Quantization for Resource-Constrained Edge Devices
Lecture notes in computer science·2025
CSJSS: Augmenting code summarization with joint structural semantic of abstract syntax trees
Information and Software Technology·2025
Personalized Federated Learning over Edge-Cloud Collaborative Network for Intelligent Sensing Analysis
Tsinghua Science & Technology·2025· 1 citedOpen Access
Efficient Zero-Cost Neural Architecture Search for Personalized AI Systems in Cloud-Edge Networks
2025
Energy-Efficient Federated Learning via Dynamic Distillation and Cloud-Network Collaboration
2025
A Survey on Spatio-Temporal Prediction: From Transformers to Foundation Models
ACM Computing Surveys·2025· 1 citedOpen Access
Adaptive Knowledge Transfer for Federated Learning With Large Models on Edge IoT Devices
IEEE Internet of Things Journal·2025· 1 cited
FedQR: Communication-Efficient Federated Learning via QR Factorization
Communications in computer and information science·2025
HFHEMS: Energy-Efficient Hierarchical Federated Learning via Model Distillation
2025
QFMLNet: An AI-Driven Quantum Communication Architecture for 6G Space-Ground Networks
IEEE Communications Magazine·2025
STLLM-GAN: Spatio-temporal LLM Generative Adversarial Network for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.svg"> <mml:mrow> <mml:mi>P</mml:mi> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mn>2.5</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> prediction
Expert Systems with Applications·2025· 1 cited
Temperature-Aware Adaptive Federated Distillation for Energy-Constrained AIoT with Non-IID Data
2025
ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction
IEEE Transactions on Intelligent Transportation Systems·2025· 1 cited
Energy-Efficient Personalized Federated Learning for Establishing Green Iot
2025
Adaptive layer-wise personalized federated learning via dual delay update in future communication networks
Computer Communications·2025
Overcoming Forgetting Using Adaptive Federated Learning for IIoT Devices With Non-IID Data
IEEE Internet of Things Journal·2025· 4 cited
Exploring the Privacy-Accuracy Trade-Off Using Adaptive Gradient Clipping in Federated Learning
IEEE Transactions on Network Science and Engineering·2025· 8 cited
Transforming 6G Mobile Edge Intelligence With Large Models
IEEE Network·2025· 3 cited
Traffic Prediction Using Lightweight Large Model in AAV-Assisted Mobile Computing for Time-Critical Consumer Electronics
IEEE Transactions on Consumer Electronics·2025
Efficient LLM Deployment in Consumer Electronics Applications via Resource-Aware and Salience-Guided Quantization
IEEE Transactions on Consumer Electronics·2025
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Frequent Co-authors

Ping Ping(12), Feng Xu(6), Xiaoming He(5), Andri Pranolo(5), Xiaofang Li(5), Xiaofang Li(4), Aji Prasetya Wibawa(4), Longbao Wang(4), Agung Bella Putra Utama(3), Felix Andika Dwiyanto(3), Xianjian Xiao(3), Haishi Zhong(3), Hai Qi(3), Haodong Lu(2), Kun Wang(2), Xi Chen(2), Jinyang Fan(2), Jerry Gao(2), Jie Fu(2), Shufang Xu(2)