Bingqian Lu

Orcid: 0009-0006-5329-8818

According to our database1, Bingqian Lu authored at least 11 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
CMDRL: A Markovian Distributed Rate Limiting Algorithm in Cloud Networks.
Proceedings of the 8th Asia-Pacific Workshop on Networking, 2024

2022
Towards Ultra-Efficient Machine Learning for Edge Inference
PhD thesis, 2022

Improving QoE of Deep Neural Network Inference on Edge Devices: A Bandit Approach.
IEEE Internet Things J., 2022

A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators.
CoRR, 2022

2021
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search.
Proc. ACM Meas. Anal. Comput. Syst., 2021

2020
Scaling Up Deep Neural Network Optimization for Edge Inference.
CoRR, 2020

A Note on Latency Variability of Deep Neural Networks for Mobile Inference.
CoRR, 2020

Poster: Scaling Up Deep Neural Network optimization for Edge Inference†.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

2019
HolDCSim: A Holistic Simulator for Data Centers.
Proceedings of the IEEE International Symposium on Workload Characterization, 2019

Automating Deep Neural Network Model Selection for Edge Inference.
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

2018
PopCorns: Power Optimization Using a Cooperative Network-Server Approach for Data Centers.
Proceedings of the 27th International Conference on Computer Communication and Networks, 2018


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