Fanrong Li

According to our database, Fanrong Li authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection.

Qiang Chen, Xiangbo Su, Xinyu Zhang, Jian Wang, Jiahui Chen, Yunpeng Shen, Chuchu Han, Ziliang Chen, Weixiang Xu, Fanrong Li, Shan Zhang, Kun Yao, Errui Ding, Gang Zhang, Jingdong Wang

CoRR, 2024

MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization.

Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification.

Peisong Wang, Fanrong Li, Gang Li, Jian Cheng

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Improving Extreme Low-Bit Quantization With Soft Threshold.

Weixiang Xu, Fanrong Li, Yingying Jiang, Yong A, Xiangyu He, Peisong Wang, Jian Cheng

IEEE Trans. Circuits Syst. Video Technol., April, 2023

A²Q: Aggregation-Aware Quantization for Graph Neural Networks.

Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng

CoRR, 2023

$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks.

Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA.

Gang Li, Zejian Liu, Fanrong Li, Jian Cheng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks.

Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA.

Gang Li, Zejian Liu, Fanrong Li, Jian Cheng

CoRR, 2021

Dynamic Dual Gating Neural Networks.

Fanrong Li, Gang Li, Xiangyu He, Jian Cheng

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

EBERT: Efficient BERT Inference with Dynamic Structured Pruning.

Zejian Liu, Fanrong Li, Gang Li, Jian Cheng

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs.

Fanrong Li, Gang Li, Zitao Mo, Xiangyu He, Jian Cheng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception.

Shaowei Cui, Rui Wang, Junhang Wei, Fanrong Li, Shuo Wang

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

2019

A System-Level Solution for Low-Power Object Detection.

Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA.

Gang Li, Fanrong Li, Tianli Zhao, Jian Cheng

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018