Haodong Lu

Orcid: 0000-0002-8628-2664

Affiliations:
  • Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China


According to our database1, Haodong Lu authored at least 16 papers between 2019 and 2024.

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

Timeline

Legend:

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Bibliography

2024
AutoHammer: Breaking the Compilation Wall Between Deep Neural Network and Overlay-based FPGA Accelerator.
Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

2023
Auto-LUT: Auto Approximation of Non-Linear Operations for Neural Networks on FPGA.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

microGEMM: An Effective CNN-Based Inference Acceleration for Edge Computing.
Proceedings of the IEEE International Conference on Communications, 2023

An Efficient Piecewise Linear Approximation of Non-linear Operations for Transformer Inference.
Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

2021
Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks.
IEEE Trans. Parallel Distributed Syst., 2021

QoE-Based Task Offloading With Deep Reinforcement Learning in Edge-Enabled Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst., 2021

Falcon: Addressing Stragglers in Heterogeneous Parameter Server Via Multiple Parallelism.
IEEE Trans. Computers, 2021

An Adaptive Neural Architecture Search Design for Collaborative Edge-Cloud Computing.
IEEE Netw., 2021

A Comprehensive Inspection of the Straggler Problem.
Computer, 2021

Distributed Machine Learning based Mitigating Straggler in Big Data Environment.
Proceedings of the ICC 2021, 2021

2020
QoE-Based Cooperative Task Offloading with Deep Reinforcement Learning in Mobile Edge Networks.
IEEE Wirel. Commun., 2020

Edge QoE: Intelligent Big Data Caching via Deep Reinforcement Learning.
IEEE Netw., 2020

Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things.
IEEE Internet Things J., 2020

Towards Mitigating Straggler with Deep Reinforcement Learning in Parameter Server.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

QoE-driven Task Offloading with Deep Reinforcement Learning in Edge intelligent IoV.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019


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