Haodong Lu

According to our database, Haodong Lu authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AutoHammer: Breaking the Compilation Wall Between Deep Neural Network and Overlay-based FPGA Accelerator.

Kai Qian, Zheng Liu, Yinqiu Liu, Haodong Lu, Zexu Zhang, Ruiqiu Chen, Kun Wang

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

TrafficHD: Efficient Hyperdimensional Computing for Real-Time Network Traffic Analytics.

Haodong Lu, Zhiyuan Ma, Xinran Li, Shiyan Bi, Xiaoming He, Kun Wang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Auto-LUT: Auto Approximation of Non-Linear Operations for Neural Networks on FPGA.

Haodong Lu, Qichang Mei, Kun Wang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

microGEMM: An Effective CNN-Based Inference Acceleration for Edge Computing.

Zheng Liu, Wei Chen, Kai Qian, Haodong Lu, Yinqiu Liu, Siguang Chen, Kun Wang

Proceedings of the IEEE International Conference on Communications, 2023

An Efficient Piecewise Linear Approximation of Non-linear Operations for Transformer Inference.

Haodong Lu, Qichang Mei, Kun Wang

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.

Qihua Zhou, Kun Wang, Haodong Lu, Wenyao Xu, Yanfei Sun, Song Guo

IEEE Trans. Parallel Distributed Syst., 2021

QoE-Based Task Offloading With Deep Reinforcement Learning in Edge-Enabled Internet of Vehicles.

Xiaoming He, Haodong Lu, Miao Du, Yingchi Mao, Kun Wang

IEEE Trans. Intell. Transp. Syst., 2021

Falcon: Addressing Stragglers in Heterogeneous Parameter Server Via Multiple Parallelism.

Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun, Kun Wang

IEEE Trans. Computers, 2021

An Adaptive Neural Architecture Search Design for Collaborative Edge-Cloud Computing.

Haodong Lu, Miao Du, Xiaoming He, Kai Qian, Jianli Chen, Yanfei Sun, Kun Wang

IEEE Netw., 2021

A Comprehensive Inspection of the Straggler Problem.

Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun, Kun Wang

Computer, 2021

Distributed Machine Learning based Mitigating Straggler in Big Data Environment.

Haodong Lu, Kun Wang

Proceedings of the ICC 2021, 2021

2020

QoE-Based Cooperative Task Offloading with Deep Reinforcement Learning in Mobile Edge Networks.

Xiaoming He, Haodong Lu, Huawei Huang, Yingchi Mao, Kun Wang, Song Guo

IEEE Wirel. Commun., 2020

Edge QoE: Intelligent Big Data Caching via Deep Reinforcement Learning.

Xiaoming He, Kun Wang, Haodong Lu, Wenyao Xu, Song Guo

IEEE Netw., 2020

Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things.

Haodong Lu, Xiaoming He, Miao Du, Xiukai Ruan, Yanfei Sun, Kun Wang

IEEE Internet Things J., 2020

Towards Mitigating Straggler with Deep Reinforcement Learning in Parameter Server.

Haodong Lu, Kun Wang

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.

Xiaoming He, Haodong Lu, Yingchi Mao, Kun Wang

Proceedings of the IEEE Global Communications Conference, 2020

2019

Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server.

Qihua Zhou, Kun Wang, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019