Polyhedral model based mapping optimization of loop nests for CGRAs D Liu, S Yin, L Liu, S Wei
Proceedings of the 50th Annual Design Automation Conference, 1-8, 2013
85 2013 Data-flow graph mapping optimization for CGRA with deep reinforcement learning D Liu, S Yin, G Luo, J Shang, L Liu, S Wei, Y Feng, S Zhou
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
58 2018 Memory-aware loop mapping on coarse-grained reconfigurable architectures S Yin, X Yao, D Liu, L Liu, S Wei
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 24 (5 …, 2015
55 2015 DFGNet: Mapping dataflow graph onto CGRA by a deep learning approach S Yin, D Liu, L Sun, L Liu, S Wei
2017 IEEE international symposium on circuits and systems (ISCAS), 1-4, 2017
28 2017 HMSG: Heterogeneous graph neural network based on metapath subgraph learning M Guan, X Cai, J Shang, F Hao, D Liu, X Jiao, W Ni
Knowledge-Based Systems 279, 110930, 2023
26 2023 Improving nested loop pipelining on coarse-grained reconfigurable architectures S Yin, D Liu, Y Peng, L Liu, S Wei
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 24 (2), 507-520, 2015
25 2015 Conflict-free loop mapping for coarse-grained reconfigurable architecture with multi-bank memory S Yin, X Yao, T Lu, D Liu, J Gu, L Liu, S Wei
IEEE Transactions on Parallel and Distributed Systems 28 (9), 2471-2485, 2017
23 2017 Optimizing spatial mapping of nested loop for coarse-grained reconfigurable architectures D Liu, S Yin, Y Peng, L Liu, S Wei
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 23 (11 …, 2014
17 2014 HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content X Jia, J Shang, D Liu, H Zhang, W Ni
Knowledge-Based Systems 254, 109659, 2022
16 2022 RNe2Vec: information diffusion popularity prediction based on repost network embedding J Shang, S Huang, D Zhang, Z Peng, D Liu, Y Li, L Xu
Computing 103, 271-289, 2021
16 2021 Joint affine transformation and loop pipelining for mapping nested loop on CGRAs S Yin, D Liu, L Liu, S Wei, Y Guo
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 115-120, 2015
16 2015 Towards high-bandwidth-utilization spmv on fpgas via partial vector duplication B Liu, D Liu
Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023
15 2023 A deep sequence-to-sequence method for aircraft landing speed prediction based on QAR data Z Kang, J Shang, Y Feng, L Zheng, D Liu, B Qiang, R Wei
Web Information Systems Engineering–WISE 2020: 21st International Conference …, 2020
15 2020 Joint Modulo Scheduling and S Yin, J Gu, D Liu, L Liu, S Wei
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2015
13 2015 Towards high-quality CGRA mapping with graph neural networks and reinforcement learning Y Zhuang, Z Zhang, D Liu
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022
11 2022 IM2Vec: Representation learning-based preference maximization in geo-social networks Z Jin, J Shang, W Ni, L Zhao, D Liu, B Qiang, W Xie, G Min
Information Sciences 604, 170-196, 2022
9 2022 RF-CGRA: a routing-friendly CGRA with hierarchical register chains R Zhu, B Wang, D Liu
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 262-267, 2022
9 2022 CurveCluster: Automated recognition of hard landing patterns based on QAR curve clustering X Li, J Shang, L Zheng, D Liu, L Qi, L Liu
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019
9 2019 IMTCN: An Interpretable Flight Safety Analysis and Prediction Model Based on Multi-Scale Temporal Convolutional Networks X Li, J Shang, L Zheng, Q Wang, D Liu, X Liu, F Li, W Cao, H Sun
IEEE Transactions on Intelligent Transportation Systems, 2023
7 2023 Towards energy-efficient CGRAs via stochastic computing B Wang, R Zhu, J Shang, D Liu
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 202-207, 2022
6 2022 