Di Liu
About
Di Liu is an Associate Professor at Department of Computer Science, Norwegian University of Science and Technology (NTNU), Norway. In prior to that, he was a research fellow at Nanyang Technological University, Singapore and a faculty member at Yunnan University, China. He received his PhD degree from Leiden University, The Netherlands, and both his MEng and BEng degrees from Northwestern Polytechnical University, China.
His research interests are edge intelligence and efficient AI. If you are interested in these areas and looking to work on an exciting master's project in this area, there may be several engaging opportunities available.
Research
His general research interests are edge intelligence, embedded systems, real-time scheduling.
- Efficient deep learning algorithms for edge systems
- Adaptive deep learning models for edge systems
- Hardware-aware deep learning model optimizations
Publications
2025
-
Gong, Qianying;
Duan, Biqing;
Miao, Shengfa;
He, Zhenli;
Liu, Di.
(2025)
Software-Hardware Exploration of Early-Exit Neural Networks on Edge Accelerators.
IEEE Embedded Systems Letters (ESL)
Academic article
2024
-
Yu, Mingfang;
Sun, Ying;
Ma, Ruichen;
Mu, Hailing;
Liu, Di;
Li, Zheng.
(2024)
YNU Flower: A market-oriented benchmark dataset for flower classification.
Scientia Horticulturae
Academic article
-
Luo, Xiangzhong;
Liu, Di;
Kong, Hao;
Huai, Shuo;
Chen, Hui;
Xiong, Guochu.
(2024)
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision.
ACM Transactions on Embedded Computing Systems
Academic article
-
Luo, Xiangzhong;
Liu, Di;
Kong, Hao;
Huai, Shuo;
Xiong, Guochu;
Liu, Weichen.
(2024)
Domino-Pro-Max: Toward Efficient Network Simplification and Reparameterization for Embedded Hardware Systems.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Academic article
2023
-
Li, Shiqing;
Liu, Di;
Liu, Weichen LiuDi.
(2023)
Efficient FPGA-Based Sparse Matrix-Vector Multiplication With Data Reuse-Aware Compression.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Academic article
-
Kong, Hao;
Liu, Di;
Huai, Shuo;
Luo, Xiangzhong;
Subramaniam, Ravi;
Makaya, Christian.
(2023)
EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Academic article
-
Huai, Shuo;
Kong, Hao;
Luo, Xiangzhong;
Liu, Di;
Subramaniam, Ravi;
Makaya, Christian.
(2023)
On Hardware-Aware Design and Optimization of Edge Intelligence.
IEEE design & test
Academic article
-
Ma, Ye-Da;
Zhao, Zhi-Chao;
Liu, Di;
He, Zhenli;
Zhou, Wei.
(2023)
OCAP: On-device Class-Aware Pruning for personalized edge DNN models.
Journal of systems architecture
Academic article
-
Zhang, Zhi-Yuan;
Ren, Hao;
He, Zhenli;
Zhou, Wei;
Liu, Di.
(2023)
Improving robustness of convolutional neural networks using element-wise activation scaling.
Future Generation Computer Systems
Academic article
-
He, Zhenli;
Xu, Yanan;
Liu, Di;
Zhou, Wei;
Li, Keqin.
(2023)
Energy-efficient computation offloading strategy with task priority in cloud assisted multi-access edge computing.
Future Generation Computer Systems
Academic article
2022
-
Huai, Shuo;
Liu, Di;
Kong, Hao;
Liu, Weichen;
Subramaniam, Ravi;
Makaya, Christian.
(2022)
Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization.
Future Generation Computer Systems
Academic article
Journal publications
-
Gong, Qianying;
Duan, Biqing;
Miao, Shengfa;
He, Zhenli;
Liu, Di.
(2025)
Software-Hardware Exploration of Early-Exit Neural Networks on Edge Accelerators.
IEEE Embedded Systems Letters (ESL)
Academic article
-
Yu, Mingfang;
Sun, Ying;
Ma, Ruichen;
Mu, Hailing;
Liu, Di;
Li, Zheng.
(2024)
YNU Flower: A market-oriented benchmark dataset for flower classification.
Scientia Horticulturae
Academic article
-
Luo, Xiangzhong;
Liu, Di;
Kong, Hao;
Huai, Shuo;
Chen, Hui;
Xiong, Guochu.
(2024)
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision.
ACM Transactions on Embedded Computing Systems
Academic article
-
Luo, Xiangzhong;
Liu, Di;
Kong, Hao;
Huai, Shuo;
Xiong, Guochu;
Liu, Weichen.
(2024)
Domino-Pro-Max: Toward Efficient Network Simplification and Reparameterization for Embedded Hardware Systems.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Academic article
-
Li, Shiqing;
Liu, Di;
Liu, Weichen LiuDi.
(2023)
Efficient FPGA-Based Sparse Matrix-Vector Multiplication With Data Reuse-Aware Compression.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Academic article
-
Kong, Hao;
Liu, Di;
Huai, Shuo;
Luo, Xiangzhong;
Subramaniam, Ravi;
Makaya, Christian.
(2023)
EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Academic article
-
Huai, Shuo;
Kong, Hao;
Luo, Xiangzhong;
Liu, Di;
Subramaniam, Ravi;
Makaya, Christian.
(2023)
On Hardware-Aware Design and Optimization of Edge Intelligence.
IEEE design & test
Academic article
-
Ma, Ye-Da;
Zhao, Zhi-Chao;
Liu, Di;
He, Zhenli;
Zhou, Wei.
(2023)
OCAP: On-device Class-Aware Pruning for personalized edge DNN models.
Journal of systems architecture
Academic article
-
Zhang, Zhi-Yuan;
Ren, Hao;
He, Zhenli;
Zhou, Wei;
Liu, Di.
(2023)
Improving robustness of convolutional neural networks using element-wise activation scaling.
Future Generation Computer Systems
Academic article
-
He, Zhenli;
Xu, Yanan;
Liu, Di;
Zhou, Wei;
Li, Keqin.
(2023)
Energy-efficient computation offloading strategy with task priority in cloud assisted multi-access edge computing.
Future Generation Computer Systems
Academic article
-
Huai, Shuo;
Liu, Di;
Kong, Hao;
Liu, Weichen;
Subramaniam, Ravi;
Makaya, Christian.
(2022)
Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization.
Future Generation Computer Systems
Academic article