Zejian Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Natural Language Processing

Iterative Deepening

Efficient Inference

Asymptotic Analysis

Top Venues

IEEE Trans. Circuits Syst. II Express Briefs

Publications

Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. HPCA (2024)
Zejian Liu, Kun Zhao, Jian Cheng
TBERT: Dynamic BERT Inference with Top-k Based Predictors. DATE (2023)
Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks. ICLR (2023)
Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. CoRR (2023)
Zejian Liu, Gang Li, Jian Cheng
Efficient Accelerator/Network Co-Search With Circular Greedy Reinforcement Learning. IEEE Trans. Circuits Syst. II Express Briefs 70 (7) (2023)
Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
Q: Aggregation-Aware Quantization for Graph Neural Networks. CoRR (2023)
Gang Li, Zejian Liu, Fanrong Li, Jian Cheng
Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (5) (2022)
Gang Li, Zejian Liu, Fanrong Li, Jian Cheng
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. CoRR (2021)
Zejian Liu, Gang Li, Jian Cheng
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. DATE (2021)
Zejian Liu, Fanrong Li, Gang Li, Jian Cheng
EBERT: Efficient BERT Inference with Dynamic Structured Pruning. ACL/IJCNLP (Findings) (2021)
Zejian Liu, Gang Li, Jian Cheng
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. CoRR (2021)
Zejian Liu, Meng Li
Non-asymptotic Analysis in Kernel Ridge Regression. CoRR (2020)
Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng
Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. DATE (2020)
Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng
A System-Level Solution for Low-Power Object Detection. CoRR (2019)
Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng
A System-Level Solution for Low-Power Object Detection. ICCV Workshops (2019)