Yitu Wang

Orcid: 0000-0003-4453-5966

According to our database1, Yitu Wang authored at least 54 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Content-Caching-Oriented Popularity Forecast and User Clustering.
IEEE Internet Things J., December, 2024

Retransmission Aware Adaptive Modulation and Coding Toward Deterministic Delay Performance.
IEEE Trans. Wirel. Commun., November, 2024

Privacy-Preserving Resource Management for Distributed Collaborative Edge Caching Systems.
IEEE Internet Things J., November, 2024

NDRec: A Near-Data Processing System for Training Large-Scale Recommendation Models.
IEEE Trans. Computers, May, 2024

Network Traffic Anomaly Detection: A Revisiting to Gaussian Process and Sparse Representation.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., January, 2024

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models.
CoRR, 2024

FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning.
CoRR, 2024

Adaptive Modulation and Coding for URLLC Retransmission.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Hybrid Digital/Analog Memristor-based Computing Architecture for Sparse Deep Learning Acceleration.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Improving the Efficiency of In-Memory-Computing Macro with a Hybrid Analog-Digital Computing Mode for Lossless Neural Network Inference.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
EMS-i: An Efficient Memory System Design with Specialized Caching Mechanism for Recommendation Inference.
ACM Trans. Embed. Comput. Syst., October, 2023

Stochastic Resource Allocation and Delay Analysis for Mobile Edge Computing Systems.
IEEE Trans. Commun., July, 2023

Pattern Discovery and Multi-Slot-Ahead Forecast of Network Traffic: A Revisiting to Gaussian Process.
IEEE Trans. Netw. Serv. Manag., June, 2023

In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search.
CoRR, 2023

A Light-weight Online Learning Framework for Network Traffic Abnormality Detection.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Privacy-preserving Gaussian Process Latent Variable Model for Dimensional Reduction.
Proceedings of the 22nd International Symposium on Communications and Information Technologies, 2023

Accelerating Sparse Attention with a Reconfigurable Non-volatile Processing-In-Memory Architecture.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
QoE-driven Link Quality Prediction for Video Streaming in Mobile Networks.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Access Control for Privacy-Preserving Gaussian Process Regression.
Proceedings of the IEEE International Conference on Acoustics, 2022

FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
NP-Hardness Boundary of Virtual Network Embedding With Node Location Constraints.
IEEE Netw. Lett., 2021

FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning.
CoRR, 2021

Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Correlation Discovery and Channel Prediction in Mobile Networks: A Revisiting to Gaussian Process.
Proceedings of the IEEE Global Communications Conference, 2021

Adaptive Multi-slot-ahead Prediction of Network Traffic with Gaussian Process.
Proceedings of the IEEE Global Communications Conference, 2021

Secure Computation of Gaussian Process Regression for Data Analysis.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Prediction of Network Traffic Through Light-Weight Machine Learning.
IEEE Open J. Commun. Soc., 2020

A Privacy-Preserving Learning Framework for Face Recognition in Edge and Cloud Networks.
IEEE Access, 2020

Light-weight Machine Learning for mmWave Vehicular Communications.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

The Learning and Prediction of Network Traffic: A Revisiting to Sparse Representation.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Secure Face Recognition in Edge and Cloud Networks: From the Ensemble Learning Perspective.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Privacy-Preserving Pattern Recognition Using Encrypted Sparse Representations in L0 Norm Minimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
Closed-Form Delay-Optimal Computation Offloading in Mobile Edge Computing Systems.
IEEE Trans. Wirel. Commun., 2019

Load scheduling for distributed edge computing: A communication-computation tradeoff.
Peer-to-Peer Netw. Appl., 2019

Delay-Optimal Joint Processing in Computation-Constrained Fog Radio Access Networks.
IEEE Access, 2019

Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Edge and Cloud-aided Secure Sparse Representation for Face Recognition.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Heterogeneous Spectrum Aggregation: Coexistence From a Queue Stability Perspective.
IEEE Trans. Wirel. Commun., 2018

Distributed Packet Forwarding and Caching Based on Stochastic Network Utility Maximization.
IEEE/ACM Trans. Netw., 2018

Relay Selection for Multi-Channel Cooperative Multicast: Lexicographic Max-Min Optimization.
IEEE Trans. Commun., 2018

Communication-Efficient Computation Load Scheduling for Edge Computing Systems.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

Computational Resource Constrained Multi-Cell Joint Processing in Fog Radio Access Networks.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

On the Cooperation for Content Caching from a Coalitional Game Perspective.
Proceedings of the IEEE Global Communications Conference, 2018

Delay-Optimal Computation Offloading for Computation-Constrained Mobile Edge Networks.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Energy Efficient Scheduling for Delay-Constrained Spectrum Aggregation: A Differentiated Water-Filling Approach.
IEEE Trans. Green Commun. Netw., 2017

Moderate Incentive Design for Delay-Constrained Device-to-Device Relaying.
Mob. Networks Appl., 2017

Lexicographic Relay Selection and Channel Allocation for Multichannel Cooperative Multicast.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Computational resource constrained multi-cell joint processing in cloud radio access networks.
Proceedings of the IEEE International Conference on Communications, 2017

Content Caching Clustering Based on Piecewise Interest Similarity.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Energy Efficient Scheduling for Delay-Constrained Spectrum Aggregation.
Proceedings of the 2016 IEEE Global Communications Conference, 2016


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