Jianfeng Gu

According to our database, Jianfeng Gu authored at least 15 papers between 2018 and 2025.

Collaborative distances:

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

2025

Artifact of the paper: HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences.

Jianfeng Gu, Puxuan Wang, Isaac David Núñez Araya, Kai Huang, Michael Gerndt

Dataset, June, 2025

HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences.

Jianfeng Gu, Puxuan Wang, Isaac Nunezand, Kai Huang, Michael Gerndt

CoRR, May, 2025

HAS-GPU: Efficient Hybrid Auto-scaling with Fine-Grained GPU Allocation for SLO-Aware Serverless Inferences.

Jianfeng Gu, Puxuan Wang, Isaac David Núñez Araya, Kai Huang, Michael Gerndt

Proceedings of the Euro-Par 2025: Parallel Processing, 2025

VersaSlot: Efficient Fine-grained FPGA Sharing with Big.Little Slots and Live Migration in FPGA Cluster.

Jianfeng Gu, Hao Wang, Xiaorang Guo, Martin Schulz, Michael Gerndt

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning.

Mohak Chadha, Pulkit Khera, Jianfeng Gu, Osama Abboud, Michael Gerndt

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments.

Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud, Michael Gerndt

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023

FastFusion: Deep stereo-LiDAR fusion for real-time high-precision dense depth sensing.

Haitao Meng, Changcai Li, Chonghao Zhong, Jianfeng Gu, Gang Chen, Alois Knoll

J. Field Robotics, October, 2023

FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference.

Jianfeng Gu, Yichao Zhu, Puxuan Wang, Mohak Chadha, Michael Gerndt

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

Migrating from microservices to serverless: an IoT platform case study.

Mohak Chadha, Victor Pacyna, Anshul Jindal, Jianfeng Gu, Michael Gerndt

Proceedings of the Eighth International Workshop on Serverless Computing, 2022

FedLesScan: Mitigating Stragglers in Serverless Federated Learning.

Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt, Osama Abboud

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A GPU -accelerated Deep Stereo- LiDAR Fusion for Real-time High-precision Dense Depth Sensing.

Haitao Meng, Chonghao Zhong, Jianfeng Gu, Gang Chen

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

FedLess: Secure and Scalable Federated Learning Using Serverless Computing.

Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

3D Object Detection and Tracking Based on Streaming Data.

Xusen Guo, Jianfeng Gu, Silu Guo, Zixiao Xu, Chengzhang Yang, Shanghua Liu, Long Cheng, Kai Huang

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Lidar Mapping Optimization Based on Lightweight Semantic Segmentation.

Zhihao Zhao, Wenquan Zhang, Jianfeng Gu, Junjie Yang, Kai Huang

IEEE Trans. Intell. Veh., 2019

2018

A Reliable Road Segmentation and Edge Extraction for Sparse 3D Lidar Data.

Jianfeng Gu, Yuehui Wang, Long Chen, Zhihao Zhao, Zhe Xuanyuan, Kai Huang

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018