Di Liu

According to our database, Di Liu authored at least 60 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Efficient FPGA-Based Sparse Matrix-Vector Multiplication With Data Reuse-Aware Compression.

Shiqing Li, Di Liu, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI.

Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

Improving robustness of convolutional neural networks using element-wise activation scaling.

Zhi-Yuan Zhang, Hao Ren, Zhenli He, Wei Zhou, Di Liu

Future Gener. Comput. Syst., December, 2023

On Hardware-Aware Design and Optimization of Edge Intelligence.

Shuo Huai, Hao Kong, Xiangzhong Luo, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

IEEE Des. Test, December, 2023

Energy-efficient computation offloading strategy with task priority in cloud assisted multi-access edge computing.

Zhenli He, Yanan Xu, Di Liu, Wei Zhou, Keqin Li

Future Gener. Comput. Syst., November, 2023

OCAP: On-device Class-Aware Pruning for personalized edge DNN models.

Ye-Da Ma, Zhi-chao Zhao, Di Liu, Zhenli He, Wei Zhou

J. Syst. Archit., September, 2023

LightNAS: On Lightweight and Scalable Neural Architecture Search for Embedded Platforms.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023

Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization.

Shuo Huai, Di Liu, Hao Kong, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin

Future Gener. Comput. Syst., May, 2023

SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu

IEEE Trans. Computers, April, 2023

FAT: An In-Memory Accelerator With Fast Addition for Ternary Weight Neural Networks.

Shien Zhu, Luan H. K. Duong, Hui Chen, Di Liu, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2023

EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI.

Hao Kong, Xiangzhong Luo, Shuo Huai, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning.

Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration.

Shuo Huai, Di Liu, Xiangzhong Luo, Hui Chen, Weichen Liu, Ravi Subramaniam

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows.

Hui Chen, Di Liu, Shiqing Li, Shuo Huai, Xiangzhong Luo, Weichen Liu

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Layerwise Security Protection for Deep Neural Networks in Industrial Cyber Physical Systems.

Wei Jiang, Ziwei Song, Jinyu Zhan, Di Liu, Jiafu Wan

IEEE Trans. Ind. Informatics, 2022

Toward the Predictability of Dynamic Real-Time DNN Inference.

Weiguang Pang, Xu Jiang, Mingsong Lv, Teng Gao, Di Liu, Wang Yi

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond.

Xiangzhong Luo, Di Liu, Shuo Huai, Hao Kong, Hui Chen, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

CARTAD: Compiler-Assisted Reinforcement Learning for Thermal-Aware Task Scheduling and DVFS on Multicores.

Di Liu, Shi-Gui Yang, Zhenli He, Mingxiong Zhao, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Bringing AI to edge: From deep learning's perspective.

Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam

Neurocomputing, 2022

EDLAB: A Benchmark for Edge Deep Learning Accelerators.

Hao Kong, Shuo Huai, Di Liu, Lei Zhang, Hui Chen, Shien Zhu, Shiqing Li, Weichen Liu, Manu Rastogi, Ravi Subramaniam, Madhu Athreya, M. Anthony Lewis

IEEE Des. Test, 2022

Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling.

Zhi-Yuan Zhang, Di Liu

CoRR, 2022

Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems.

Shuo Huai, Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware.

Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Once For All Skip: Efficient Adaptive Deep Neural Networks.

Yu Yang, Di Liu, Hui Fang, Yi-Xiong Huang, Ying Sun, Zhi-Yuan Zhang

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Work-in-Progress: What to Expect of Early Training Statistics? An Investigation on Hardware-Aware Neural Architecture Search.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022

Efficient On-Device Incremental Learning by Weight Freezing.

Ze-Han Wang, Zhenli He, Hui Fang, Yi-Xiong Huang, Ying Sun, Yu Yang, Zhi-Yuan Zhang, Di Liu

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs.

Hao Kong, Di Liu, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021

Energy-Aware Task Offloading and Resource Allocation for Time-Sensitive Services in Mobile Edge Computing Systems.

Mingxiong Zhao, Jun-Jie Yu, Wen-Tao Li, Di Liu, Shaowen Yao, Wei Feng, Changyang She, Tony Q. S. Quek

IEEE Trans. Veh. Technol., 2021

Fairness-Aware Task Scheduling and Resource Allocation in UAV-Enabled Mobile Edge Computing Networks.

Mingxiong Zhao, Wentao Li, Ling-Yan Bao, Jia Luo, Zhenli He, Di Liu

IEEE Trans. Green Commun. Netw., 2021

Reaching consensus in decentralized coordination of distributed microservices.

Gang Xue, Shuiguang Deng, Di Liu, Zeming Yan

Comput. Networks, 2021

Partial order based non-preemptive communication scheduling towards real-time networks-on-chip.

Peng Chen, Hui Chen, Jun Zhou, Di Liu, Shiqing Li, Weichen Liu, Wanli Chang, Nan Guan

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs.

Shiqing Li, Di Liu, Weichen Liu

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search.

Xiangzhong Luo, Di Liu, Shuo Huai, Weichen Liu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems.

Shuo Huai, Lei Zhang, Di Liu, Weichen Liu, Ravi Subramaniam

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core.

Ashikahmed Bhuiyan, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan, Zhishan Guo

IEEE Trans. Parallel Distributed Syst., 2020

Energy-Aware Offloading in Time-Sensitive Networks with Mobile Edge Computing.

Mingxiong Zhao, Jun-Jie Yu, Wen-Tao Li, Di Liu, Shaowen Yao, Wei Feng, Changyang She, Tony Q. S. Quek

CoRR, 2020

Joint Offloading and Resource Allocation for Time-Sensitive Multi-Access Edge Computing Network.

Jun-Jie Yu, Mingxiong Zhao, Wen-Tao Li, Di Liu, Shaowen Yao, Wei Feng

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems.

Xiangzhong Luo, Di Liu, Hao Kong, Weichen Liu

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

2019

Real-Time Scheduling of DAG Tasks with Arbitrary Deadlines.

Kankan Wang, Xu Jiang, Nan Guan, Di Liu, Weichen Liu, Qingxu Deng

ACM Trans. Design Autom. Electr. Syst., 2019

A process partitioning technique for constructing decentralized web service compositions.

Gang Xue, Di Liu, Junsong Liu, Shaowen Yao

Softw. Pract. Exp., 2019

CASS: Criticality-Aware Standby-Sparing for real-time systems.

Mingxiong Zhao, Di Liu, Xu Jiang, Weichen Liu, Gang Xue, Cheng Xie, Yun Yang, Zhishan Guo

J. Syst. Archit., 2019

Confidential Cooperative Communication with the Trust Degree of Jammer.

Mingxiong Zhao, Di Liu, Hui Gao, Wei Feng

Entropy, 2019

ReLeTA: Reinforcement Learning for Thermal-Aware Task Allocation on Multicore.

Shi-Gui Yang, Yuan-Yuan Wang, Di Liu, Xu Jiang, Hui Fang, Yu Yang, Mingxiong Zhao

CoRR, 2019

Knowledge Graph-Based Image Classification Refinement.

Dehai Zhang, Menglong Cui, Yun Yang, Po Yang, Cheng Xie, Di Liu, Beibei Yu, Zhibo Chen

IEEE Access, 2019

Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms.

Zhishan Guo, Ashikahmed Bhuiyan, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan

Proceedings of the 25th IEEE Real-Time and Embedded Technology and Applications Symposium, 2019

Analyzing GEDF Scheduling for Parallel Real-Time Tasks with Arbitrary Deadlines.

Xu Jiang, Nan Guan, Di Liu, Weichen Liu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Scheduling Analysis of Imprecise Mixed-Criticality Real-Time Tasks.

Di Liu, Nan Guan, Jelena Spasic, Gang Chen, Songran Liu, Todor P. Stefanov, Wang Yi

IEEE Trans. Computers, 2018

Utilization-Based Scheduling of Flexible Mixed-Criticality Real-Time Tasks.

Gang Chen, Nan Guan, Di Liu, Qingqiang He, Kai Huang, Todor P. Stefanov, Wang Yi

IEEE Trans. Computers, 2018

2016

On the Improved Hard Real-Time Scheduling of Cyclo-Static Dataflow.

Jelena Spasic, Di Liu, Emanuele Cannella, Todor P. Stefanov

ACM Trans. Embed. Comput. Syst., 2016

Reconfigurable cache for real-time MPSoCs: Scheduling and implementation.

Gang Chen, Biao Hu, Kai Huang, Alois C. Knoll, Kai Huang, Di Liu, Todor P. Stefanov, Feng Li

Microprocess. Microsystems, 2016

EDF-VD Scheduling of Mixed-Criticality Systems with Degraded Quality Guarantees.

Di Liu, Jelena Spasic, Nan Guan, Gang Chen, Songran Liu, Todor P. Stefanov, Wang Yi

Proceedings of the 2016 IEEE Real-Time Systems Symposium, 2016

Energy-Efficient Scheduling of Real-Time Tasks on Heterogeneous Multicores Using Task Splitting.

Di Liu, Jelena Spasic, Peng Wang, Todor P. Stefanov

Proceedings of the 22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2016

Exploiting resource-constrained parallelism in hard real-time streaming applications.

Jelena Spasic, Di Liu, Todor P. Stefanov

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Energy-efficient mapping of real-time applications on heterogeneous MPSoCs using task replication.

Jelena Spasic, Di Liu, Todor P. Stefanov

Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, 2016

2015

Energy-efficient mapping of real-time streaming applications on cluster heterogeneous MPSoCs.

Di Liu, Jelena Spasic, Gang Chen, Todor P. Stefanov

Proceedings of the 13th IEEE Symposium on Embedded Systems For Real-time Multimedia, 2015

Improved hard real-time scheduling of CSDF-modeled streaming applications.

Jelena Spasic, Di Liu, Emanuele Cannella, Todor P. Stefanov

Proceedings of the 2015 International Conference on Hardware/Software Codesign and System Synthesis, 2015

2014

Automatic cache partitioning and time-triggered scheduling for real-time MPSoCs.

Gang Chen, Biao Hu, Kai Huang, Alois C. Knoll, Kai Huang, Di Liu, Todor P. Stefanov

Proceedings of the 2014 International Conference on ReConFigurable Computing and FPGAs, 2014

Abstract: Shared L2 Cache Management in Multicore Real-Time System.

Gang Chen, Biao Hu, Kai Huang, Alois C. Knoll, Di Liu

Proceedings of the 22nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2014

Resource optimization for CSDF-modeled streaming applications with latency constraints.

Di Liu, Jelena Spasic, Jiali Teddy Zhai, Todor P. Stefanov, Gang Chen

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014