Zejian Liu

According to our database, Zejian Liu authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

Color-based damage detection and evaluation of post-fire NSC components using machine learning and finite element modeling.

Zejian Liu, Yuxi Zhao, Yun Zhao, Haiwei Xu

Expert Syst. Appl., 2026

Theoretical and Empirical Performance of Pseudo-likelihood-Based Bayesian Inference of Species Trees Under the Multispecies Coalescent.

Nicolae Sapoval, Zejian Liu, Mehrdad Tamiji, Meng Li, Luay Nakhleh

Proceedings of the Comparative Genomics - 23rd RECOMB International Workshop, 2026

2025

Multi-scale attention network with dynamic offset sampling for image super-resolution.

Zejian Liu, Qinghua Wang, Jiancheng Lai, Zhenhua Li

Signal Image Video Process., October, 2025

2024

Optimization of Fuzzy Control Parameters for Wind Farms and Battery Energy Storage Systems Based on an Enhanced Artificial Bee Colony Algorithm under Multi-Source Sensor Data.

Zejian Liu, Ping Yang, Peng Zhang, Xu Lin, Jiaxi Wei, Ning Li

Sensors, August, 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

Efficient Accelerator/Network Co-Search With Circular Greedy Reinforcement Learning.

Zejian Liu, Gang Li, Jian Cheng

IEEE Trans. Circuits Syst. II Express Briefs, July, 2023

On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators.

Zejian Liu, Meng Li

J. Mach. Learn. Res., 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

TBERT: Dynamic BERT Inference with Top-k Based Predictors.

Zejian Liu, Kun Zhao, Jian Cheng

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA.

Gang Li, Zejian Liu, Fanrong Li, Jian Cheng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

2021

Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA.

Gang Li, Zejian Liu, Fanrong Li, Jian Cheng

CoRR, 2021

Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing.

Zejian Liu, Gang Li, Jian Cheng

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

EBERT: Efficient BERT Inference with Dynamic Structured Pruning.

Zejian Liu, Fanrong Li, Gang Li, Jian Cheng

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Non-asymptotic Analysis in Kernel Ridge Regression.

Zejian Liu, Meng Li

CoRR, 2020

Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations.

Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

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