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ORCIDZejian Liu
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2020 – today
- 2024
[j4]Zejian Liu, Ping Yang, Peng Zhang, Xu Lin, Jiaxi Wei, Ning Li
:
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. Sensors 24(16): 5115 (2024)- [c7]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: 124-138 - 2023
- [j3]Zejian Liu, Meng Li:
On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators. J. Mach. Learn. Res. 24: 266:1-266:37 (2023) - [j2]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): 2615-2619 (2023) - [c6]Zejian Liu, Kun Zhao, Jian Cheng:
TBERT: Dynamic BERT Inference with Top-k Based Predictors. DATE 2023: 1-6 - [c5]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 - [i6]Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng:
A2Q: Aggregation-Aware Quantization for Graph Neural Networks. CoRR abs/2302.00193 (2023) - [i5]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 abs/2311.09775 (2023) - 2022
- [j1]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): 1436-1447 (2022) - 2021
- [c4]Zejian Liu, Fanrong Li, Gang Li, Jian Cheng:
EBERT: Efficient BERT Inference with Dynamic Structured Pruning. ACL/IJCNLP (Findings) 2021: 4814-4823 - [c3]Zejian Liu, Gang Li, Jian Cheng:
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. DATE 2021: 513-516 - [i4]Zejian Liu, Gang Li, Jian Cheng:
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. CoRR abs/2103.02800 (2021) - [i3]Gang Li, Zejian Liu, Fanrong Li, Jian Cheng:
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. CoRR abs/2105.08937 (2021) - 2020
- [c2]Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng:
Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. DATE 2020: 971-974 - [i2]Zejian Liu, Meng Li:
Non-asymptotic Analysis in Kernel Ridge Regression. CoRR abs/2006.01350 (2020)
2010 – 2019
- 2019
- [c1]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: 2461-2468 - [i1]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 abs/1909.10964 (2019)
Coauthor Index
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