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ORCIDJianfeng Gu 0001
Person information
- affiliation: Technical University of Munich, Department of Computer Architecture and Parallel Systems, Germany
- affiliation: Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China
Other persons with the same name
- Jianfeng Gu (aka: Jian-Feng Gu) — disambiguation page
- Jianfeng Gu 0002
![[0000-0001-5449-4921]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5449-4921")
— Wuhan Institute of Technology, School of Civil Engineering and Architecture, China - Jianfeng Gu 0003 — Ningbo Entry Exit Inspect and Quarantine Bur, Ctr Tech, China
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2020 – today
- 2025
[c11]Jianfeng Gu, Hao Wang, Xiaorang Guo, Martin Schulz, Michael Gerndt:
VersaSlot: Efficient Fine-grained FPGA Sharing with Big.Little Slots and Live Migration in FPGA Cluster. DAC 2025: 1-7- [c10]Jianfeng Gu, Puxuan Wang, Isaac David Núñez Araya, Kai Huang, Michael Gerndt:
HAS-GPU: Efficient Hybrid Auto-scaling with Fine-Grained GPU Allocation for SLO-Aware Serverless Inferences. Euro-Par (1) 2025: 159-174 - [d1]Jianfeng Gu, Puxuan Wang, Isaac David Núñez Araya, Kai Huang, Michael Gerndt:
Artifact of the paper: HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences. Zenodo, 2025
- [i8]Jianfeng Gu, Hao Wang, Xiaorang Guo, Martin Schulz, Michael Gerndt:
VersaSlot: Efficient Fine-grained FPGA Sharing with Big.Little Slots and Live Migration in FPGA Cluster. CoRR abs/2503.05930 (2025) - [i7]Jianfeng Gu, Puxuan Wang, Isaac Nunezand, Kai Huang, Michael Gerndt:
HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences. CoRR abs/2505.01968 (2025) - 2024
- [c9]Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments. CCGrid 2024: 206-215 - [c8]Mohak Chadha, Pulkit Khera, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning. SAC 2024: 997-1006 - [i6]Mohak Chadha, Pulkit Khera, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning. CoRR abs/2402.07295 (2024) - [i5]Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments. CoRR abs/2404.14033 (2024) - 2023
- [j2]Haitao Meng, Changcai Li, Chonghao Zhong, Jianfeng Gu, Gang Chen, Alois Knoll:
FastFusion: Deep stereo-LiDAR fusion for real-time high-precision dense depth sensing. J. Field Robotics 40(7): 1804-1816 (2023) - [c7]Jianfeng Gu, Yichao Zhu, Puxuan Wang, Mohak Chadha, Michael Gerndt:
FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference. ICPP 2023: 635-644 - [i4]Jianfeng Gu, Yichao Zhu, Puxuan Wang, Mohak Chadha, Michael Gerndt:
FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference. CoRR abs/2309.00558 (2023) - 2022
- [c6]Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt, Osama Abboud:
FedLesScan: Mitigating Stragglers in Serverless Federated Learning. IEEE Big Data 2022: 1230-1237 - [c5]Mohak Chadha, Victor Pacyna, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
Migrating from microservices to serverless: an IoT platform case study. WOSC@Middleware 2022: 19-24 - [i3]Mohak Chadha, Victor Pacyna, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
Migrating from Microservices to Serverless: An IoT Platform Case Study. CoRR abs/2210.04212 (2022) - [i2]Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt, Osama Abboud:
FedLesScan: Mitigating Stragglers in Serverless Federated Learning. CoRR abs/2211.05739 (2022) - 2021
- [c4]Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
FedLess: Secure and Scalable Federated Learning Using Serverless Computing. IEEE BigData 2021: 164-173 - [c3]Haitao Meng, Chonghao Zhong, Jianfeng Gu, Gang Chen:
A GPU -accelerated Deep Stereo- LiDAR Fusion for Real-time High-precision Dense Depth Sensing. DATE 2021: 523-528 - [i1]Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
FedLess: Secure and Scalable Federated Learning Using Serverless Computing. CoRR abs/2111.03396 (2021) - 2020
- [c2]Xusen Guo, Jianfeng Gu, Silu Guo, Zixiao Xu, Chengzhang Yang, Shanghua Liu, Long Cheng, Kai Huang:
3D Object Detection and Tracking Based on Streaming Data. ICRA 2020: 8376-8382
2010 – 2019
- 2019
- [j1]Zhihao Zhao, Wenquan Zhang, Jianfeng Gu, Junjie Yang, Kai Huang:
Lidar Mapping Optimization Based on Lightweight Semantic Segmentation. IEEE Trans. Intell. Veh. 4(3): 353-362 (2019) - 2018
- [c1]Jianfeng Gu, Yuehui Wang, Long Chen, Zhihao Zhao, Zhe Xuanyuan, Kai Huang:
A Reliable Road Segmentation and Edge Extraction for Sparse 3D Lidar Data. Intelligent Vehicles Symposium 2018: 1452-1457
Coauthor Index
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