Jianfeng Gu

21 papers A* 2A 1B 4Misc 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
HAS-GPU: Efficient Hybrid Auto-scaling with Fine-Grained GPU Allocation for SLO-Aware Serverless Inferences.
Euro-Par (1)
Jianfeng Gu, Puxuan Wang, Isaac David Núñez Araya, Kai Huang, Michael Gerndt
2025 J jnl
HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences.
CoRR
Jianfeng Gu, Puxuan Wang, Isaac Nunezand, Kai Huang, Michael Gerndt
2025 A* conf
VersaSlot: Efficient Fine-grained FPGA Sharing with Big.Little Slots and Live Migration in FPGA Cluster.
DAC
Jianfeng Gu, Hao Wang, Xiaorang Guo, Martin Schulz, Michael Gerndt
2025 J jnl
VersaSlot: Efficient Fine-grained FPGA Sharing with Big.Little Slots and Live Migration in FPGA Cluster.
CoRR
Jianfeng Gu, Hao Wang, Xiaorang Guo, Martin Schulz, Michael Gerndt
2024 B conf
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments.
CCGrid
Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud, Michael Gerndt
2024 J jnl
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments.
CoRR
Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud, Michael Gerndt
2024 Misc conf
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning.
SAC
Mohak Chadha, Pulkit Khera, Jianfeng Gu, Osama Abboud, Michael Gerndt
2024 J jnl
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning.
CoRR
Mohak Chadha, Pulkit Khera, Jianfeng Gu, Osama Abboud, Michael Gerndt
2023 B conf
FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference.
ICPP
Jianfeng Gu, Yichao Zhu, Puxuan Wang, Mohak Chadha, Michael Gerndt
2023 J jnl
FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference.
CoRR
Jianfeng Gu, Yichao Zhu, Puxuan Wang, Mohak Chadha, Michael Gerndt
2023 J jnl
FastFusion: Deep stereo-LiDAR fusion for real-time high-precision dense depth sensing.
J. Field Robotics
Haitao Meng, Changcai Li, Chonghao Zhong, Jianfeng Gu, Gang Chen, Alois Knoll
2022 B conf
FedLesScan: Mitigating Stragglers in Serverless Federated Learning.
IEEE Big Data
Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt, Osama Abboud
2022 J jnl
FedLesScan: Mitigating Stragglers in Serverless Federated Learning.
CoRR
Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt, Osama Abboud
2022 J jnl
Migrating from Microservices to Serverless: An IoT Platform Case Study.
CoRR
Mohak Chadha, Victor Pacyna, Anshul Jindal, Jianfeng Gu, Michael Gerndt
2022 — conf
Migrating from microservices to serverless: an IoT platform case study.
WOSC@Middleware
Mohak Chadha, Victor Pacyna, Anshul Jindal, Jianfeng Gu, Michael Gerndt
2021 A conf
A GPU -accelerated Deep Stereo- LiDAR Fusion for Real-time High-precision Dense Depth Sensing.
DATE
Haitao Meng, Chonghao Zhong, Jianfeng Gu, Gang Chen
2021 — conf
FedLess: Secure and Scalable Federated Learning Using Serverless Computing.
IEEE BigData
Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt
2021 J jnl
FedLess: Secure and Scalable Federated Learning Using Serverless Computing.
CoRR
Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt
2020 A* conf
3D Object Detection and Tracking Based on Streaming Data.
ICRA
Xusen Guo, Jianfeng Gu, Silu Guo, Zixiao Xu, Chengzhang Yang, Shanghua Liu, Long Cheng, Kai Huang
2019 J jnl
Lidar Mapping Optimization Based on Lightweight Semantic Segmentation.
IEEE Trans. Intell. Veh.
Zhihao Zhao, Wenquan Zhang, Jianfeng Gu, Junjie Yang, Kai Huang
2018 B conf
A Reliable Road Segmentation and Edge Extraction for Sparse 3D Lidar Data.
Intelligent Vehicles Symposium
Jianfeng Gu, Yuehui Wang, Long Chen, Zhihao Zhao, Zhe Xuanyuan, Kai Huang