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Di Liu

Di Liu

Associate Professor
Department of Computer Science
Faculty of Information Technology and Electrical Engineering
Department of Language and Literature

di.liu@ntnu.no
+4773412014 417 IT-bygget Gløshaugen, Trondheim
ResearchGate Google Scholar
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About

CV

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.

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 
 
  • Computing Unit

Publications

  • Chronological
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  • See all publications in Cristin

2023

  • 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 generations 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 generations 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 generations computer systems
    Academic article

Journal publications

  • 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 generations 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 generations 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 generations computer systems
    Academic article

Teaching

Courses

  • TDT4186 - Operating Systems
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