Bingqian Lu

According to our database, Bingqian Lu authored at least 10 papers between 2018 and 2022.

Collaborative distances:

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

2022

Towards Ultra-Efficient Machine Learning for Edge Inference

Bingqian Lu

PhD thesis, 2022

Improving QoE of Deep Neural Network Inference on Edge Devices: A Bandit Approach.

Bingqian Lu, Jianyi Yang, Jie Xu, Shaolei Ren

IEEE Internet Things J., 2022

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

Bingqian Lu, Zheyu Yan, Yiyu Shi, Shaolei Ren

CoRR, 2022

2021

One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search.

Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren

Proc. ACM Meas. Anal. Comput. Syst., 2021

2020

Scaling Up Deep Neural Network Optimization for Edge Inference.

Bingqian Lu, Jianyi Yang, Shaolei Ren

CoRR, 2020

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

Luting Yang, Bingqian Lu, Shaolei Ren

CoRR, 2020

Poster: Scaling Up Deep Neural Network optimization for Edge Inference†.

Bingqian Lu, Jianyi Yang, Shaolei Ren

Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

2019

HolDCSim: A Holistic Simulator for Data Centers.

Fan Yao, Kathy Ngyugen, Sai Santosh Dayapule, Jingxin Wu, Bingqian Lu, Suresh Subramaniam, Guru Venkataramani

Proceedings of the IEEE International Symposium on Workload Characterization, 2019

Automating Deep Neural Network Model Selection for Edge Inference.

Bingqian Lu, Jianyi Yang, Lydia Y. Chen, Shaolei Ren

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.

Bingqian Lu, Sai Santosh Dayapule, Fan Yao, Jingxin Wu, Guru Venkataramani, Suresh Subramaniam

Proceedings of the 27th International Conference on Computer Communication and Networks, 2018