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)

Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. - Gang Li 015; Peisong Wang; Zejian Liu; Cong Leng; Jian Cheng 001 (DATE, 2020)

Non-asymptotic Analysis in Kernel Ridge Regression. - Zejian Liu; Meng Li (CoRR, 2020)

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

Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. - Zejian Liu; Gang Li 015; Jian Cheng 001 (DATE, 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)

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)

TBERT: Dynamic BERT Inference with Top-k Based Predictors. - Zejian Liu; Kun Zhao; Jian Cheng 001 (DATE, 2023)

$ 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)

On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators. - Zejian Liu; Meng Li (J. Mach. Learn. Res., 2023)

Efficient Accelerator/Network Co-Search With Circular Greedy Reinforcement Learning. - Zejian Liu; Gang Li 015; Jian Cheng 001 (IEEE Trans. Circuits Syst. II Express Briefs, 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)

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 030 (Sensors, 2024)

Multi-scale attention network with dynamic offset sampling for image super-resolution. - Zejian Liu; Qinghua Wang; Jiancheng Lai; Zhenhua Li (Signal Image Video Process., 2025)