智能边缘系统实验室 IES LAB @ School of Software, Yunnan University

Publications

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Books and Chapters:

  1. Di Liu
    "Latency, Energy, and Schedulability of Real-Time Embedded Systems",
    PhD Thesis, Leiden University, The Netherlands, ISBN 978-94-6299-658-8

Publications on international conferences and journals, including some top-tier conferences, DAC, DATE, CODES-ISSS, ICCD, RTSS, RTAS, ICCAD, ASP-DAC and journals TC, TPDS, TECS, TODAES, Neurocomputing

"*" indicates the corresponding author.

"+" indicates the author is the student I supervise in Yunnan University or co-mentor in Nanyang Technological University.

2022

  1. Hao Kong+, Di Liu, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, "HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs." In The 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 2022. Accepted
  2. Ze-Han Wang+, Zhenli He, Hui Fang+, Yi-Xiong Huang+, Ying Sun+, Yu Yang+, Zhi-Yuan Zhang+, Di Liu*, "Efficient On-Device Incremental Learning by Weight Freezing." In The 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 2022. Accepted (The first author is a bachelor student)

2021

  1. Xiangzhong Luo+, Di Liu, Shuo Huai, and Weichen Liu. "HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search." In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 1-4. IEEE, 2021.
  2. Peng Chen, Hui Chen, Jun Zhou, Di Liu, Shiqing Li, Weichen Liu, Wanli Chang, and Nan Guan. "Partial order based non-preemptive communication scheduling towards real-time networks-on-chip." In Proceedings of the 36th Annual ACM Symposium on Applied Computing (SAC), pp. 145-154. 2021.
  3. Shuo Huai+, Lei Zhang+, Di Liu, Weichen Liu, and Ravi Subramaniam. "ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems." In 2021 58th ACM/IEEE Design Automation Conference (DAC), pp. 1-6. IEEE, 2021
  4. Shiqing Li+, Di Liu, Weichen Liu. "Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs." In 2021 40 Edition IEEE/ACM International Conference On Computer Aided Design.
  5. Gang Xue, Shuiguang Deng, Di Liu, and Zeming Yan. "Reaching consensus in decentralized coordination of distributed microservices." Computer Networks 187 (2021): 107786.
  6. Zhenli He, Ying Sun, Hui Fang, Yi-Xiong Huang, Yu Yang, Zhi-Yuan Zhang and Di Liu* "Energy-Efficient System Design of Asymmetric Multiprocessor for Real-Time Streaming Applications." 2021 International Conference on Intelligent Technology and Embedded Systems (ICITES 2021). Accepted
  7. Wen-Tao Li, Mingxiong Zhao, Yu-Hui Wu, Jun-Jie Yu, Ling-Yan Bao, Huan Yang, and Di Liu. "Collaborative offloading for UAV-enabled time-sensitive MEC networks." EURASIP Journal on Wireless Communications and Networking 2021, no. 1 (2021): 1-17.
  8. Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, and Ravi Subramaniam. "Bringing AI To Edge: From Deep Learning's Perspective." Neurocomputing, 2021, accepted.
  9. Shi-Gui Yang+, Yuanyuan Wang+, Weichen Liu, Ju Jiang, Mingxiong Zhao, Hui Fang, Yu Yang, and Di Liu*. "Temperature-Aware Task Allocation on Multicore Based on Reinforcement Learning".(Chinese) Journal of Software (软件学报) 2021, no. 32(8)3-0.
  10. Di Liu, Shi-Gui Yang, Zhenli He, Mingxiong Zhao, and Weichen Liu. "CARTAD: Compiler-Assisted Reinforcement Learning for Thermal-Aware Task Scheduling and DVFS on Multicores." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2021).
  11. Hao Kong+, Shuo Huai+, Di Liu, Lei Zhang, Hui Chen, Shien Zhu, Shiqing Li et al. "EDLAB: A Benchmark for Edge Deep Learning Accelerators." in IEEE Design & Test (2021).
  12. Xiangzhong Luo+, Di Liu*, Shuo Huai, Hao Kong, Hui Chen and Weichen Liu, "Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021.
  13. Zhao, Mingxiong, Wentao Li, Lingyan Bao, Jia Luo, Zhenli He, and Di Liu*. "Fairness-Aware Task Scheduling and Resource Allocation in UAV-Enabled Mobile Edge Computing Networks." IEEE Transactions on Green Communications and Networking (2021).
  14. Mingxiong Zhao, Jun-Jie Yu, Wen-Tao Li,Di Liu*, Shaowen Yao, Wei Feng, Changyang She, and Tony Q.S. Quek, “Energy-Aware Task Offloading and Resource Allocation for Time-Sensitive Mobile Edge Computing Networks”, IEEE Transactions on Vehicular Technology (2021), Early Access.

2020

  1. Jun-Jie Yu, Mingxiong Zhao, Wen-Tao Li, Di Liu, Shaowen Yao, and Wei Feng. "Joint Offloading and Resource Allocation for Time-Sensitive Multi-Access Edge Computing Network." In 2020 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1-6. IEEE, 2020.
  2. Xiangzhong Luo+, Di Liu, Hao Kong, and Weichen Liu. "EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems." In 2020 IEEE 38th International Conference on Computer Design (ICCD), pp. 288-295. IEEE, 2020.
  3. Ashikahmed Bhuiyan, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan, and Zhishan Guo. "Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core." IEEE Transactions on Parallel and Distributed Systems (TPDS) 31, no. 9 (2020): 2097-2111.

2019

  1. Xu Jiang, Nan Guan, Di Liu, Weichen Liu,
    "Analyzing GEDF Scheduling for Parallel Real-Time Tasks with Arbitrary Deadlines",
    In Proc. "Design, Automation and Test In Europe" (DATE’19), Florence, Italy, March 25-29, 2019
  2. Zhishan Guo, Ashikahmed Bhuiyan, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan
    "Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms",
    In Proc. "25TH IEEE Real-Time and Embedded Technology and applications symposium (RTAS’19)", Montreal, Canada, April 16-18,2019
  3. Qi Mo, Fei Dai, Di Liu, Jianglong Qin, Zhongwen Xie and Tong Li, "Development of Private Processes: A Refinement Approach," IEEE Access, vol. 7, pp. 31517-31534, 2019.
  4. Dehai Zhang, Menglong Cui, Yun Yang, Po Yang, Cheng Xie, Di Liu, Beibei Yu, Zhibo Chen,
    "Knowledge Graph-Based Image Classification Refinement," in IEEE Access, vol. 7, pp. 57678-57690, 2019.
  5. Mingxiong Zhao, Di Liu, Hui Gao, and Wei Feng. "Confidential Cooperative Communication with the Trust Degree of Jammer." Entropy 21, no. 6 (2019): 595.
  6. Gang Xue, Di Liu*, Junsong Liu, and Shaowen Yao. "A process partitioning technique for constructing decentralized web service compositions." Software: Practice and Experience 49, no. 10 (2019): 1550-1570.
  7. Kankan Wang, Xu Jiang, Nan Guan, Di Liu, Weichen Liu, and Qingxu Deng. "Real-Time Scheduling of DAG Tasks with Arbitrary Deadlines." ACM Transactions on Design Automation of Electronic Systems (TODAES) 24, no. 6 (2019): 1-22.
  8. Mingxiong Zhao,Di Liu*, Xu Jiang, Weichen Liu, Gang Xue, Cheng Xie, Yun Yang, and Zhishan Guo. "CASS: Criticality-Aware Standby-Sparing for real-time systems." Journal of Systems Architecture 100 (2019): 101661.

2018 and before

  1. Di Liu, Jelena Spasic, Jiali Teddy Zhai, Gang Chen, and Todor Stefanov,
    "Resource Optimization for CSDF-modeled Streaming Applications with Latency Constraints",
    In Proc. "17th Int. Conf. Design, Automation and Test in Europe (DATE’14)", pp. , Dresden, Germany, Mar. 24-28, 2014
  2. Gang Chen, Biao Hu, Kai Huang, Alois Knoll, Di Liu, and Todor Stefanov,
    "Automatic Cache Partitioning and Time-triggered Scheduling for Real-time MPSoCs",
    In Proc. "2014 International Conference on Reconfigurable Computing and FPGAs (ReConFig 2014)", pp., Cancun, Mexico, Dec. 8-10, 2014.
  3. Di Liu, Jelena Spasic, Gang Chen, and Todor Stefanov,
    "Energy-Efficient Mapping of Real-Time Streaming Applications on Cluster Heterogeneous MPSoCs",
    In Proc. "13th Int. IEEE Symposium on Embedded Systems for Real-Time Multimedia (ESTIMedia’15)", pp., Amsterdam, The Netherlands, Oct. 8-9, 2015.
  4. Jelena Spasic, Di Liu, Emanuele Cannella, and Todor Stefanov,
    "Improved Hard Real-Time Scheduling of CSDF-modeled Streaming Applications",
    In Proc. "IEEE/ACM/IFIP Int. Conf. on HW/SW Codesign and System Synthesis (CODES+ISSS’15)", pp., Amsterdam, The Netherlands, Oct. 4-9, 2015.
    (Best Paper Candidate)
  5. Jelena Spasic, Di Liu, Emanuele Cannella, and Todor Stefanov,
    "Exploiting Resource-constrained Parallelism in Hard Real-Time Streaming Applications",
    In Proc. "19th Int. Conf. Design, Automation and Test in Europe (DATE’16)", pp. 954-959, Dresden, Germany, Mar. 14-18, 2016.
  6. Di Liu, Jelena Spasic, Peng Wang, and Todor Stefanov,
    "Energy-Efficient Scheduling of Real-Time Tasks on Heterogeneous Multicores Using Task Splitting",
    In Proc. "22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA’16)", pp. , Daegu, South Korea, Aug. 17-19, 2016.
  7. Jelena Spasic, Di Liu, and Todor Stefanov,
    "Energy-Efficient Mapping of Real-Time Applications on Heterogeneous MPSoCs using Task Replication",
    to appear In Proc. "IEEE/ACM/IFIP Int. Conf. on HW/SW Codesign and System Synthesis (CODES+ISSS’16)", pp. , Pittsburgh, USA, Oct. 2-7, 2016.
  8. Di Liu, Jelena Spasic, Nan Guan, Gang Chen , Songran Liu, Todor Stefanov, Wang Yi,
    "EDF-VD Scheduling of Mixed-Criticality Systems with Degraded Quality Guarantees",
    in Proc. "The IEEE Real-Time Systems Symposium (RTSS’16)", pp. , Porto, Portugal, Nov. 29 - Dec. 02, 2016
  9. Gang Chen, Biao Hu, Kai Huang, Alois Knoll, Kai Huang, Di Liu, Todor Stefanov, Feng Li,
    "Reconfigurable Cache for Real-time MPSoCs: Scheduling and Implementation",
    Internationa Journal on Microprocessors and Microsystems: Embedded Hardware Design (MICPRO), vol. 42, pp. 200-2014, May 2016.
  10. Jelena Spasic, Di Liu, Emanuele Cannella, and Todor Stefanov,
    "On the Improved Hard Real-Time Scheduling of Cyclo-Static Dataflow",
    ACM Transactions on Embedded Computing Systems (TECS), vol. 15, Issue 4, Article 68, Aug 2016
  11. Gang Chen, Nan Guan, Di Liu, Qinqiang He, Kai Huang, Todor Stefanov, Wang Yi,
    "Utilization-Based Scheduling of Flexible Mixed-Criticality Real-Time Tasks",
    IEEE Transactions on Computers (TC), vol. 67, Issue 4, pp. 543-558, Apr 2018.
  12. Di Liu, Nan Guan, Jelena Spasic, Gang Chen, Songran Liu, Todor Stefanov, Wang Yi,
    "Scheduling Analysis of Imprecise Mixed-Criticality Real-Time Tasks",
    IEEE Transactions on Computers (TC), vol. 67, Issue 7, pp. 975-991, July 2018.

Peer-reviewed Abstracts/Short papers

  1. Gang Chen, Biao Hu, Kai Huang, Alois Knoll, Di Liu
    "Abstract: Shared L2 Cache Management in Multicore Real-Time System,"
    Field-Programmable Custom Computing Machines (FCCM), 2014 IEEE 22nd Annual International Symposium on , vol., no., pp.170,170, 11-13 May 2014
  2. Hao Kong+, Di Liu, Xiangzhong Luo, Weichen Liu, and Ravi Subramaniam. "AdaptScale: Hardware-Aware Deep Neural Network Scaling." (Poster) In 2021 58th ACM/IEEE Design Automation Conference (DAC), pp. 1-2. IEEE, 2021