ODE-Inspired Network Design for Single Image Super-Resolution. - Xiangyu He; Zitao Mo; Peisong Wang; Yang Liu 021; Mingyuan Yang; Jian Cheng 001 (CVPR, 2019)

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)

Location-aware Upsampling for Semantic Segmentation. - Xiangyu He; Zitao Mo; Qiang Chen 007; Anda Cheng; Peisong Wang; Jian Cheng 001 (CoRR, 2019)

ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. - Xiangyu He; Zitao Mo; Ke Cheng 002; Weixiang Xu; Qinghao Hu 001; Peisong Wang; Qingshan Liu 001; Jian Cheng 001 (ECCV (3), 2020)

Ladder Pyramid Networks For Single Image Super-Resolution. - Zitao Mo; Xiangyu He; Gang Li 015; Jian Chen 001 (ICIP, 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)

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

Spiking NeRF: Making Bio-inspired Neural Networks See through the Real World. - Xingting Yao; Qinghao Hu 001; Tielong Liu; Zitao Mo; Zeyu Zhu; Zhengyang Zhuge; Jian Cheng 001 (CoRR, 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)

GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. - Minnan Pei; Gang Li 015; Junwen Si; Zeyu Zhu; Zitao Mo; Peisong Wang; Zhuoran Song; Xiaoyao Liang; Jian Cheng 001 (CoRR, 2025)