Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA. - Gang Li 015; Fanrong Li; Tianli Zhao; Jian Cheng 001 (DATE, 2018)

A System-Level Solution for Low-Power Object Detection. - Fanrong Li; Yang Zhang; Jian Cheng 001; Zitao Mo; Peisong Wang; Zejian Liu; Jiayun Zhang; Gang Li 015; Qinghao Hu 001; Xiangyu He; Cong Leng (ICCV Workshops, 2019)

Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception. - Shaowei Cui; Rui Wang 031; Junhang Wei; Fanrong Li; Shuo Wang 001 (ICRA, 2020)

FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs. - Fanrong Li; Gang Li 015; Zitao Mo; Xiangyu He; Jian Cheng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

EBERT: Efficient BERT Inference with Dynamic Structured Pruning. - Zejian Liu; Fanrong Li; Gang Li 015; Jian Cheng 001 (ACL/IJCNLP (Findings), 2021)

Dynamic Dual Gating Neural Networks. - Fanrong Li; Gang Li 015; Xiangyu He; Jian Cheng 001 (ICCV, 2021)

Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. - Gang Li 015; Zejian Liu; Fanrong Li; Jian Cheng 001 (CoRR, 2021)

GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. - Xingting Yao; Fanrong Li; Zitao Mo; Jian Cheng 001 (NeurIPS, 2022)

Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA. - Gang Li 015; Zejian Liu; Fanrong Li; Jian Cheng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

$ rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks. - Zeyu Zhu; Fanrong Li; Zitao Mo; Qinghao Hu 001; Gang Li 015; Zejian Liu; Xiaoyao Liang; Jian Cheng 001 (ICLR, 2023)

A2Q: Aggregation-Aware Quantization for Graph Neural Networks. - Zeyu Zhu; Fanrong Li; Zitao Mo; Qinghao Hu 001; Gang Li 015; Zejian Liu; Xiaoyao Liang; Jian Cheng 001 (CoRR, 2023)

Improving Extreme Low-Bit Quantization With Soft Threshold. - Weixiang Xu; Fanrong Li; Yingying Jiang 001; Yong A; Xiangyu He; Peisong Wang; Jian Cheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. - Peisong Wang; Fanrong Li; Gang Li 015; Jian Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. - Zeyu Zhu; Fanrong Li; Gang Li 015; Zejian Liu; Zitao Mo; Qinghao Hu 001; Xiaoyao Liang; Jian Cheng 001 (HPCA, 2024)

LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection. - Qiang Chen 007; Xiangbo Su; Xinyu Zhang 015; Jian Wang 066; Jiahui Chen; Yunpeng Shen; Chuchu Han; Ziliang Chen 005; Weixiang Xu; Fanrong Li; Shan Zhang; Kun Yao; et al. (CoRR, 2024)