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ORCIDFanrong Li
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2020 – today
- 2024
[c8]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: 124-138- [i7]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 abs/2406.03459 (2024) - 2023
- [j4]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): 1549-1563 (2023) - [j3]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): 4167-4180 (2023) - [c7]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 - [i6]Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng:
A2Q: Aggregation-Aware Quantization for Graph Neural Networks. CoRR abs/2302.00193 (2023) - [i5]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 abs/2311.09775 (2023) - 2022
- [j2]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): 1436-1447 (2022) - [c6]Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng:
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. NeurIPS 2022 - [i4]Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng:
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. CoRR abs/2210.13768 (2022) - 2021
- [c5]Zejian Liu, Fanrong Li, Gang Li, Jian Cheng:
EBERT: Efficient BERT Inference with Dynamic Structured Pruning. ACL/IJCNLP (Findings) 2021: 4814-4823 - [c4]Fanrong Li, Gang Li, Xiangyu He, Jian Cheng:
Dynamic Dual Gating Neural Networks. ICCV 2021: 5310-5319 - [i3]Gang Li, Zejian Liu, Fanrong Li, Jian Cheng:
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. CoRR abs/2105.08937 (2021) - 2020
- [j1]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): 3589-3600 (2020) - [c3]Shaowei Cui, Rui Wang, Junhang Wei, Fanrong Li, Shuo Wang:
Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception. ICRA 2020: 538-544 - [i2]Shaowei Cui, Rui Wang, Junhang Wei, Fanrong Li, Shuo Wang:
Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception. CoRR abs/2006.12729 (2020)
2010 – 2019
- 2019
- [c2]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: 2461-2468 - [i1]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 abs/1909.10964 (2019) - 2018
- [c1]Gang Li, Fanrong Li, Tianli Zhao, Jian Cheng:
Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA. DATE 2018: 1163-1166
Coauthor Index
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