Fanrong Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Synaptic Weights

Efficient Inference

Top Venues

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

IEEE Trans. Circuits Syst. Video Technol.

Publications

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
LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection. CoRR (2024)
Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. HPCA (2024)
Weixiang Xu, Fanrong Li, Yingying Jiang, Yong A, Xiangyu He, Peisong Wang, Jian Cheng
Improving Extreme Low-Bit Quantization With Soft Threshold. IEEE Trans. Circuits Syst. Video Technol. 33 (4) (2023)
Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks. ICLR (2023)
Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. CoRR (2023)
Peisong Wang, Fanrong Li, Gang Li, Jian Cheng
Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
Q: Aggregation-Aware Quantization for Graph Neural Networks. CoRR (2023)
Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. CoRR (2022)
Gang Li, Zejian Liu, Fanrong Li, Jian Cheng
Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (5) (2022)
Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. NeurIPS (2022)
Gang Li, Zejian Liu, Fanrong Li, Jian Cheng
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. CoRR (2021)
Fanrong Li, Gang Li, Xiangyu He, Jian Cheng
Dynamic Dual Gating Neural Networks. ICCV (2021)
Zejian Liu, Fanrong Li, Gang Li, Jian Cheng
EBERT: Efficient BERT Inference with Dynamic Structured Pruning. ACL/IJCNLP (Findings) (2021)
Shaowei Cui, Rui Wang, Junhang Wei, Fanrong Li, Shuo Wang
Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception. CoRR (2020)
Shaowei Cui, Rui Wang, Junhang Wei, Fanrong Li, Shuo Wang
Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception. ICRA (2020)
Fanrong Li, Gang Li, Zitao Mo, Xiangyu He, Jian Cheng
FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng
A System-Level Solution for Low-Power Object Detection. CoRR (2019)
Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng
A System-Level Solution for Low-Power Object Detection. ICCV Workshops (2019)
Gang Li, Fanrong Li, Tianli Zhao, Jian Cheng
Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA. DATE (2018)