Zitao Mo

According to our database, Zitao Mo authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

DALI: A Workload-Aware Offloading Framework for Efficient MoE Inference on Local PCs.

Zeyu Zhu, Gang Li, Peisong Wang, Zitao Mo, Minnan Pei, Zhuoran Song, Xiaoyao Liang, Jian Cheng

CoRR, February, 2026

APEX: Integer-only Non-linear Function Approximation for Efficient Cross-Modal Inference.

Peihuan Ni, Zitao Mo, Tielong Liu, Hongli Wen, Zeyu Zhu, Minnan Pei, Junwen Si, Weifan Guan, Peisong Wang, Qinghao Hu, Gang Li, Jian Cheng

Proceedings of the Design, Automation & Test in Europe Conference, 2026

Boosting the Performance of Tree-Based Speculative Decoding of LLMs on FPGAs.

Tielong Liu, Gang Li, Zitao Mo, Zeyu Zhu, Minnan Pei, Jian Cheng

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing.

Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng

Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

LISLLM: Long Context Inference of Large Language Models with Short KV Cache.

Tielong Liu, Gang Li, Zeyu Zhu, Zitao Mo, Xingting Yao, Jian Cheng

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

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

Spiking NeRF: Making Bio-inspired Neural Networks See through the Real World.

Xingting Yao, Qinghao Hu, Tielong Liu, Zitao Mo, Zeyu Zhu, Zhengyang Zhuge, Jian Cheng

CoRR, 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

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

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

Ladder Pyramid Networks For Single Image Super-Resolution.

Zitao Mo, Xiangyu He, Gang Li, Jian Chen

Proceedings of the IEEE International Conference on Image Processing, 2020

ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices.

Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Location-aware Upsampling for Semantic Segmentation.

Xiangyu He, Zitao Mo, Qiang Chen, Anda Cheng, Peisong Wang, Jian Cheng

CoRR, 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

ODE-Inspired Network Design for Single Image Super-Resolution.

Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019